267 results on '"Gamarra, Daniel"'
Search Results
2. Improving Generalization in Aerial and Terrestrial Mobile Robots Control Through Delayed Policy Learning
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Grando, Ricardo B., Steinmetz, Raul, Kich, Victor A., Kolling, Alisson H., Furik, Pablo M., de Jesus, Junior C., Guterres, Bruna V., Gamarra, Daniel T., Guerra, Rodrigo S., and Drews-Jr, Paulo L. J.
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Computer Science - Robotics ,Computer Science - Artificial Intelligence - Abstract
Deep Reinforcement Learning (DRL) has emerged as a promising approach to enhancing motion control and decision-making through a wide range of robotic applications. While prior research has demonstrated the efficacy of DRL algorithms in facilitating autonomous mapless navigation for aerial and terrestrial mobile robots, these methods often grapple with poor generalization when faced with unknown tasks and environments. This paper explores the impact of the Delayed Policy Updates (DPU) technique on fostering generalization to new situations, and bolstering the overall performance of agents. Our analysis of DPU in aerial and terrestrial mobile robots reveals that this technique significantly curtails the lack of generalization and accelerates the learning process for agents, enhancing their efficiency across diverse tasks and unknown scenarios., Comment: IEEE 20th International Conference on Automation Science and Engineering (CASE)
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- 2024
3. Optimal Trajectory Planning for Pneumatic Cylindrical Manipulator Considering Dynamical and Stick Slip Constraints
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Izquierdo, Rafael Crespo, Cukla, Anselmo Rafael, Lorini, Flávio José, Perondi, Eduardo André, and Gamarra, Daniel Fernando Tello
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- 2024
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4. Enhanced Low-Dimensional Sensing Mapless Navigation of Terrestrial Mobile Robots Using Double Deep Reinforcement Learning Techniques
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de Moraes, Linda Dotto, Kich, Victor Augusto, Kolling, Alisson Henrique, Bottega, Jair Augusto, Grando, Ricardo Bedin, Cukla, Anselmo Rafael, and Gamarra, Daniel Fernando Tello
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Computer Science - Robotics ,Computer Science - Artificial Intelligence - Abstract
In this study, we present two distinct approaches within the realm of Deep Reinforcement Learning (Deep-RL) aimed at enhancing mapless navigation for a ground-based mobile robot. The research methodology primarily involves a comparative analysis between a Deep-RL strategy grounded in the foundational Deep Q-Network (DQN) algorithm, and an alternative approach based on the Double Deep Q-Network (DDQN) algorithm. The agents in these approaches leverage 24 measurements from laser range sampling, coupled with the agent's positional differentials and orientation relative to the target. This amalgamation of data influences the agents' determinations regarding navigation, ultimately dictating the robot's velocities. By embracing this parsimonious sensory framework as proposed, we successfully showcase the training of an agent for proficiently executing navigation tasks and adeptly circumventing obstacles. Notably, this accomplishment is attained without a dependency on intricate sensory inputs like those inherent to image-centric methodologies. The proposed methodology is evaluated in three different real environments, revealing that Double Deep structures significantly enhance the navigation capabilities of mobile robots compared to simple Q structures.
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- 2023
5. Parallel Distributional Prioritized Deep Reinforcement Learning for Unmanned Aerial Vehicles
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Kolling, Alisson Henrique, Kich, Victor Augusto, de Jesus, Junior Costa, da Silva, Andressa Cavalcante, Grando, Ricardo Bedin, Drews-Jr, Paulo Lilles Jorge, and Gamarra, Daniel F. T.
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Computer Science - Robotics - Abstract
This work presents a study on parallel and distributional deep reinforcement learning applied to the mapless navigation of UAVs. For this, we developed an approach based on the Soft Actor-Critic method, producing a distributed and distributional variant named PDSAC, and compared it with a second one based on the traditional SAC algorithm. In addition, we also embodied a prioritized memory system into them. The UAV used in the study is based on the Hydrone vehicle, a hybrid quadrotor operating solely in the air. The inputs for the system are 23 range findings from a Lidar sensor and the distance and angles towards a desired goal, while the outputs consist of the linear, angular, and, altitude velocities. The methods were trained in environments of varying complexity, from obstacle-free environments to environments with multiple obstacles in three dimensions. The results obtained, demonstrate a concise improvement in the navigation capabilities by the proposed approach when compared to the agent based on the SAC for the same amount of training steps. In summary, this work presented a study on deep reinforcement learning applied to mapless navigation of drones in three dimensions, with promising results and potential applications in various contexts related to robotics and autonomous air navigation with distributed and distributional variants., Comment: 7 pages, 6 figures. Approved at LARS 2023
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- 2023
6. Double Deep Reinforcement Learning Techniques for Low Dimensional Sensing Mapless Navigation of Terrestrial Mobile Robots
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de Moraes, Linda Dotto, Kich, Victor Augusto, Kolling, Alisson Henrique, Bottega, Jair Augusto, Steinmetz, Raul, da Silva, Emerson Cassiano, Grando, Ricardo Bedin, Cuckla, Anselmo Rafael, and Gamarra, Daniel Fernando Tello
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Computer Science - Robotics ,Computer Science - Artificial Intelligence - Abstract
In this work, we present two Deep Reinforcement Learning (Deep-RL) approaches to enhance the problem of mapless navigation for a terrestrial mobile robot. Our methodology focus on comparing a Deep-RL technique based on the Deep Q-Network (DQN) algorithm with a second one based on the Double Deep Q-Network (DDQN) algorithm. We use 24 laser measurement samples and the relative position and angle of the agent to the target as information for our agents, which provide the actions as velocities for our robot. By using a low-dimensional sensing structure of learning, we show that it is possible to train an agent to perform navigation-related tasks and obstacle avoidance without using complex sensing information. The proposed methodology was successfully used in three distinct simulated environments. Overall, it was shown that Double Deep structures further enhance the problem for the navigation of mobile robots when compared to the ones with simple Q structures.
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- 2023
7. Improving Customer Service Through the Use of Chatbot at Enma Spa Huancayo, Peru
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Araujo, Elvis, Javier, Diana, Gamarra, Daniel, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Rocha, Álvaro, editor, Adeli, Hojjat, editor, Dzemyda, Gintautas, editor, Moreira, Fernando, editor, and Poniszewska-Marańda, Aneta, editor
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- 2024
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8. Jubileo: An Open-Source Robot and Framework for Research in Human-Robot Social Interaction
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Bottega, Jair A., Kich, Victor A., Kolling, Alisson H., Dyonisio, Jardel D. S., Corçaque, Pedro L., Guerra, Rodrigo da S., and Gamarra, Daniel F. T.
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Computer Science - Robotics - Abstract
Human-robot interaction (HRI) is essential to the widespread use of robots in daily life. Robots will eventually be able to carry out a variety of duties in human civilization through effective social interaction. Creating straightforward and understandable interfaces to engage with robots as they start to proliferate in the personal workspace is essential. Typically, interactions with simulated robots are displayed on screens. A more appealing alternative is virtual reality (VR), which gives visual cues more like those seen in the real world. In this study, we introduce Jubileo, a robotic animatronic face with various tools for research and application development in human-robot social interaction field. Jubileo project offers more than just a fully functional open-source physical robot; it also gives a comprehensive framework to operate with a VR interface, enabling an immersive environment for HRI application tests and noticeably better deployment speed., Comment: IEEE Humanoids 2022 (Accepted)
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- 2022
9. Virtual Reality Platform to Develop and Test Applications on Human-Robot Social Interaction
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Bottega, Jair A., Steinmetz, Raul, Kolling, Alisson H., Kich, Victor A., de Jesus, Junior C., Grando, Ricardo B., and Gamarra, Daniel F. T.
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Computer Science - Robotics - Abstract
Robotics simulation has been an integral part of research and development in the robotics area. The simulation eliminates the possibility of harm to sensors, motors, and the physical structure of a real robot by enabling robotics application testing to be carried out quickly and affordably without being subjected to mechanical or electronic errors. Simulation through virtual reality (VR) offers a more immersive experience by providing better visual cues of environments, making it an appealing alternative for interacting with simulated robots. This immersion is crucial, particularly when discussing sociable robots, a subarea of the human-robot interaction (HRI) field. The widespread use of robots in daily life depends on HRI. In the future, robots will be able to interact effectively with people to perform a variety of tasks in human civilization. It is crucial to develop simple and understandable interfaces for robots as they begin to proliferate in the personal workspace. Due to this, in this study, we implement a VR robotic framework with ready-to-use tools and packages to enhance research and application development in social HRI. Since the entire VR interface is an open-source project, the tests can be conducted in an immersive environment without needing a physical robot.
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- 2022
10. Jubileo: An Immersive Simulation Framework for Social Robot Design
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Bottega, Jair Augusto, Kich, Victor Augusto, Jesus, Junior Costa de, Steinmetz, Raul, Kolling, Alisson Henrique, Grando, Ricardo Bedin, Guerra, Rodrigo da Silva, and Gamarra, Daniel Fernando Tello
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- 2023
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11. CONSTRUÇÃO DE UM ROBÔ MÓVEL PARA ENSINO DAS DISCIPLINAS DOS CURSOS DE ENGENHARIA
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Garcia, Thiago Rodrigues, primary, Valente, Ricardo Lago, additional, Schirmer, Ricardo Dias, additional, Jesus, Junior Costa de, additional, Schuster, Bruno, additional, Severo, Marlon Berber, additional, Richards, David Roy, additional, Conrad, Carlos C., additional, Guerra, Rodrigo da Silva, additional, Silva, Rodrigo Mattos da, additional, and Gamarra, Daniel Fernando Tello, additional
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- 2023
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12. Highly selective catalytic hydrodeoxygenation of guaiacol to benzene in continuous operation mode
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Ministerio de Economía y Competitividad (España), European Commission, Ministerio de Ciencia e Innovación (España), Gobierno de Aragón, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Ayala Cortés, Alejandro [0000-0003-3933-5820], Di Stassi, Christian [0000-0001-5266-398X], Remón, Javier [0000-0003-3315-5933], Torres Gamarra, Daniel [0000-0002-7843-6141], Pinilla Ibarz, José Luis [0000-0002-8304-9656], Suelves Laiglesia, Isabel [0000-0001-8437-2204], Gracia Soguero, Jesús, Ayala Cortés, Alejandro, Di Stasi, Christian, Remón, Javier, Torres Gamarra, Daniel, Pinilla Ibarz, José Luis, Suelves Laiglesia, Isabel, Ministerio de Economía y Competitividad (España), European Commission, Ministerio de Ciencia e Innovación (España), Gobierno de Aragón, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Ayala Cortés, Alejandro [0000-0003-3933-5820], Di Stassi, Christian [0000-0001-5266-398X], Remón, Javier [0000-0003-3315-5933], Torres Gamarra, Daniel [0000-0002-7843-6141], Pinilla Ibarz, José Luis [0000-0002-8304-9656], Suelves Laiglesia, Isabel [0000-0001-8437-2204], Gracia Soguero, Jesús, Ayala Cortés, Alejandro, Di Stasi, Christian, Remón, Javier, Torres Gamarra, Daniel, Pinilla Ibarz, José Luis, and Suelves Laiglesia, Isabel
- Abstract
Benzene, mostly produced from fossil fuel sources, is an essential chemical to many modern industries. Alternatively to non-renewable methods currently used, the present work explores using fast pyrolysis biomass-derived bio-oils to furnish this valuable platform molecule. Notably, we report for the first time the impact of different operational parameters on the highly selective continuous catalytic hydrodeoxygenation of guaiacol, a bio-oil model compound, into benzene using a Mo2C/CNF-based catalyst. The parametric study includes a first evaluation of the effect of the hydrogen pressure (25, 50 and 75 bar), temperature (300, 325 and 350 °C) and weight hourly space velocity (4 and 10 gorg gcat−1 h−1) on the guaiacol conversion and product distribution, and a subsequent long-term evaluation (30 h on stream) of the catalyst under appropriate processing conditions The experimental results revelated that our Mo2C/CNF was able to achieve a conversion of 90–98% with a relative amount of benzene in the liquid product up to 81% for at least 30 h without any sign of deactivation at 75 bar of H2 and 350 °C, which is a landmark achievement in the conversion of bio-oil derived molecules into platform chemicals.
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- 2024
13. Hidrotratamiento de ceras de Fischer-Tropsch mediante catalizadores soportados en nanofibras de carbono
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Ministerio de Ciencia e Innovación (España), Agencia Estatal de Investigación (España), European Commission, CSIC - Plataforma Temática Interdisciplinar del CSIC Transición energética (PTI TransEner +), Gobierno de Aragón, Di Stasi, Christian [0000-0001-5266-398X], Torres Gamarra, Daniel [0000-0002-7843-6141], Pinilla Ibarz, José Luis [0000-0002-8304-9656], Suelves Laiglesia, Isabel [0000-0001-8437-2204], Andrades García, María [mandrades@icb.csic.es], Andrades García, María, Di Stasi, Christian, Torres Gamarra, Daniel, Pinilla Ibarz, José Luis, Suelves Laiglesia, Isabel, Ministerio de Ciencia e Innovación (España), Agencia Estatal de Investigación (España), European Commission, CSIC - Plataforma Temática Interdisciplinar del CSIC Transición energética (PTI TransEner +), Gobierno de Aragón, Di Stasi, Christian [0000-0001-5266-398X], Torres Gamarra, Daniel [0000-0002-7843-6141], Pinilla Ibarz, José Luis [0000-0002-8304-9656], Suelves Laiglesia, Isabel [0000-0001-8437-2204], Andrades García, María [mandrades@icb.csic.es], Andrades García, María, Di Stasi, Christian, Torres Gamarra, Daniel, Pinilla Ibarz, José Luis, and Suelves Laiglesia, Isabel
- Abstract
Uno de los principales desafíos asociados a la producción de hidrocarburos mediante procesos de Fischer- Tropsch (FT) a partir de gas de síntesis (syngas) es la dificultad de controlar la longitud y el grado de ramificación de las cadenas de los hidrocarburos generados. Las ceras FT, hidrocarburos con más de 21 átomos de carbono, representan aproximadamente el 25-45% en peso de los productos [1]. Éstas presentan una alta temperatura de fusión, encontrándose en estado sólido a temperatura ambiente, lo que disminuye la rentabilidad económica del proceso FT. Por tanto, para mejorar el rendimiento de esta reacción y obtener un producto enriquecido en cadenas de hidrocarburo más cortas que las de partida y con un elevado nivel de ramificación, lo que mejora sus propiedades en frío, es necesario someter a estas ceras a procesos de hidrocraqueo (HC) e hidroisomerización (HI) [2]. En este trabajo se sintetizaron catalizadores bifuncionales que combinan sitios activos de naturaleza metálica y sitios ácidos, capaces de hidrocraquear y/o hidroisomerizar ceras de FT, con el fin de obtener un producto apto para uso como combustible de aviación.
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- 2024
14. Hidrotratamiento de aceite de cocina usado y grasas residuales con donores de H2 para la obtención de diesel verde usando catalizadores soportados en nanofibras de carbono
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Ministerio de Ciencia e Innovación (España), Agencia Estatal de Investigación (España), European Commission, Gobierno de Aragón, Muñoz, Edgar [0000-0001-9309-2394], Ayala Cortés, Alejandro [0000-0003-3933-5820], Di Stasi, Christian [0000-0001-5266-398X], Torres Gamarra, Daniel [0000-0002-7843-6141], Pinilla Ibarz, José Luis [0000-0002-8304-9656], Suelves Laiglesia, Isabel [0000-0001-8437-2204], Muñoz, Edgar [amunoz@icb.csic.es], Muñoz, Edgar, Ayala Cortés, Alejandro, Di Stasi, Christian, Torres Gamarra, Daniel, Pinilla Ibarz, José Luis, Suelves Laiglesia, Isabel, Ministerio de Ciencia e Innovación (España), Agencia Estatal de Investigación (España), European Commission, Gobierno de Aragón, Muñoz, Edgar [0000-0001-9309-2394], Ayala Cortés, Alejandro [0000-0003-3933-5820], Di Stasi, Christian [0000-0001-5266-398X], Torres Gamarra, Daniel [0000-0002-7843-6141], Pinilla Ibarz, José Luis [0000-0002-8304-9656], Suelves Laiglesia, Isabel [0000-0001-8437-2204], Muñoz, Edgar [amunoz@icb.csic.es], Muñoz, Edgar, Ayala Cortés, Alejandro, Di Stasi, Christian, Torres Gamarra, Daniel, Pinilla Ibarz, José Luis, and Suelves Laiglesia, Isabel
- Abstract
Los aceites de cocina usados (ACU) y las grasas animales residuales representan una materia prima atractiva para la generación de biocombustibles. El biodiésel, que se obtiene mayoritariamente mediante transesterificación de aceites y grasas, se emplea como alternativa al diésel derivado del petróleo. Sin embargo, éste no presenta una calidad combustible comparable a la del diésel convencional. Una ruta alternativa como el hidrotratamiento (HT) catalítico (vía reacciones de hidrodesoxigenación (HDO) y descarboxilación (DCO) [1]) permite la generación de lo que se denomina diésel verde, de calidad análoga al diésel convencional, y que está formado por hidrocarburos (HC) lineales en el rango de 15 a 18 átomos de carbono. Con el objetivo de favorecer la ruta HDO, se requiere una cantidad muy alta de H2 externo para poder eliminar todo el oxígeno presente, lo cual representa un problema tanto económico como de seguridad [2]. Otra opción es la utilización de H2 obtenido con donores [3]. En este trabajo, se muestran los resultados de la utilización de metanol, propanol y ácido fórmico como donores de H2 (además de decano como solvente de referencia) en el proceso de HT de ACU.
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- 2024
15. Comparison of Different Processing Methods of Joint Coordinates Features for Gesture Recognition with a RNN in the MSRC-12
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Peixoto, Júlia Schubert, Cukla, Anselmo Rafael, Welfer, Daniel, Gamarra, Daniel Fernando Tello, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Abraham, Ajith, editor, Gandhi, Niketa, editor, Hanne, Thomas, editor, Hong, Tzung-Pei, editor, Nogueira Rios, Tatiane, editor, and Ding, Weiping, editor
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- 2022
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16. Comparison of Different Processing Methods of Joint Coordinates Features for Gesture Recognition with a CNN in the MSRC-12 Database
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Peixoto, Júlia Schubert, Pfitscher, Miguel, de Souza Leite Cuadros, Marco Antonio, Welfer, Daniel, Gamarra, Daniel Fernando Tello, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Abraham, Ajith, editor, Piuri, Vincenzo, editor, Gandhi, Niketa, editor, Siarry, Patrick, editor, Kaklauskas, Arturas, editor, and Madureira, Ana, editor
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- 2021
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17. Dijkstra and A* Algorithms for Global Trajectory Planning in the TurtleBot 3 Mobile Robot
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de Assis Brasil, Pedro Medeiros, Pereira, Fabio Ugalde, de Souza Leite Cuadros, Marco Antonio, Cukla, Anselmo Rafael, Gamarra, Daniel Fernando Tello, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Abraham, Ajith, editor, Piuri, Vincenzo, editor, Gandhi, Niketa, editor, Siarry, Patrick, editor, Kaklauskas, Arturas, editor, and Madureira, Ana, editor
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- 2021
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18. Comparison of a Trajectory Controller Based on Fuzzy Logic and Backstepping Using Image Processing for a Mobile Robot
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Mattos da Silva, Rodrigo, Rodrigues Garcia, Thiago, de Souza Leite Cuadros, Marco Antonio, Tello Gamarra, Daniel Fernando, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Abraham, Ajith, editor, Siarry, Patrick, editor, Ma, Kun, editor, and Kaklauskas, Arturas, editor
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- 2021
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19. Noise Reduction with Detail Preservation in Low-Dose Dental CT Images by Morphological Operators and BM3D
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Marconato Stringhini, Romulo, Welfer, Daniel, Tello Gamarra, Daniel Fernando, Nogara Dotto, Gustavo, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Abraham, Ajith, editor, Siarry, Patrick, editor, Ma, Kun, editor, and Kaklauskas, Arturas, editor
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- 2021
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20. Object Recognition Software Using RGBD Kinect Images and the YOLO Algorithm for Mobile Robot Navigation
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Henke dos Reis, Douglas, Welfer, Daniel, de Souza Leite Cuadros, Marco Antonio, Tello Gamarra, Daniel Fernando, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Abraham, Ajith, editor, Siarry, Patrick, editor, Ma, Kun, editor, and Kaklauskas, Arturas, editor
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- 2021
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21. Comparison of a Backstepping and a Fuzzy Controller for Tracking a Trajectory with a Mobile Robot
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da Silva, Rodrigo Mattos, de Souza Leite Cuadros, Marco Antonio, Gamarra, Daniel Fernando Tello, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Abraham, Ajith, editor, Cherukuri, Aswani Kumar, editor, and Gandhi, Niketa, editor
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- 2020
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22. Activity Gesture Recognition on Kinect Sensor Using Convolutional Neural Networks and FastDTW for the MSRC-12 Dataset
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Pfitscher, Miguel, Welfer, Daniel, de Souza Leite Cuadros, Marco Antonio, Gamarra, Daniel Fernando Tello, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Abraham, Ajith, editor, Cherukuri, Aswani Kumar, editor, and Gandhi, Niketa, editor
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- 2020
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23. Comparison of Different Processing Methods of Joint Coordinates Features for Gesture Recognition with a RNN in the MSRC-12
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Peixoto, Júlia Schubert, primary, Cukla, Anselmo Rafael, additional, Welfer, Daniel, additional, and Gamarra, Daniel Fernando Tello, additional
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- 2022
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24. LSTM Neural Networks Using the SMOTE Algorithm for Wind Turbine Fault Prediction
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Oliveira Schmidt, Júlio, primary, França Aires, Lucas, additional, Hubner, Guilherme Ricardo, additional, Pinheiro, Humberto, additional, and Tello Gamarra, Daniel Fernando, additional
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- 2024
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25. Delta robot control by learning systems: Harnessing the power of deep reinforcement learning algorithms
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dos Santos Lima, Matheus, primary, Kich, Victor Augusto, additional, Steinmetz, Raul, additional, and Tello Gamarra, Daniel Fernando, additional
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- 2024
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26. Optimisation of the processing conditions of hydrolytic hydrogenation of cellulose using carbon nanofiber supported Ni catalysts
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Ministerio de Economía, Industria y Competitividad (España), Ministerio de Ciencia e Innovación (España), Agencia Estatal de Investigación (España), European Commission, Ministerio de Ciencia, Innovación y Universidades (España), Remón, Javier [0000-0003-3315-5933], Torres Gamarra, Daniel [0000-0002-7843-6141], Suelves Laiglesia, Isabel [0000-0001-8437-2204], Pinilla Ibarz, José Luis [0000-0002-8304-9656], Frecha, Esther, Remón, Javier, Torres Gamarra, Daniel, Suelves Laiglesia, Isabel, Pinilla Ibarz, José Luis, Ministerio de Economía, Industria y Competitividad (España), Ministerio de Ciencia e Innovación (España), Agencia Estatal de Investigación (España), European Commission, Ministerio de Ciencia, Innovación y Universidades (España), Remón, Javier [0000-0003-3315-5933], Torres Gamarra, Daniel [0000-0002-7843-6141], Suelves Laiglesia, Isabel [0000-0001-8437-2204], Pinilla Ibarz, José Luis [0000-0002-8304-9656], Frecha, Esther, Remón, Javier, Torres Gamarra, Daniel, Suelves Laiglesia, Isabel, and Pinilla Ibarz, José Luis
- Abstract
The synthesis of sorbitol from cellulose over Ni catalysts is a promising valorisation route in the biorefinery scenario, applying relatively simple preparation methods and earth-abundant metals. The overall selectivity, however, depends on the kinetic control of a complex reaction network, involving the hydrolysis of cellulose to monosaccharides via cello-oligomers, glucose hydrogenation into sorbitol and hydrogenolysis side-reactions of sugars and sorbitol to low molecular weight polyols. Therein, subtle changes in the catalyst composition and process conditions might have a strong impact on the final product distribution. Driven by these challenges, this work first-time provides novel insights into the hydrothermal hydrogenation of cellulose over a carbon nanofibre supported Ni catalyst (Ni/CNF). Firstly, the impact of the duration of a ball-milling pre-treatment step and the influences of the hydrothermal time and temperature were thoroughly analysed. The experimental results obtained highlighted the importance of process control to promote the first transformation of cellulose to glucose and its subsequent hydrogenation to sorbitol to minimise the extension of side reactions. Finally, an additional study was conducted to palliate the recalcitrant nature of cellulose by decreasing mass transfer limitations to a minimum extent. This was achieved by including an additional mix-milling of the amorphous cellulose produced in the first pre-treatment with the catalyst and increasing the H2 pressure of the hydrothermal hydrogenation process. This allowed attaining a sorbitol yield as high as 62% at 190 ºC using an initial H2 pressure of 8 MPa for 26 h, which is one of the best results reported in the literature.
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- 2023
27. Catalytic hydrolysis of cellulose to glucose: On the influence of graphene oxide morphology under microwave radiation
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Ministerio de Economía, Industria y Competitividad (España), Ministerio de Ciencia e Innovación (España), Agencia Estatal de Investigación (España), European Commission, Ibercaja, Ministerio de Ciencia, Innovación y Universidades (España), Torres Gamarra, Daniel [0000-0002-7843-6141], Remón, Javier [0000-0003-3315-5933], Gammons, Richard [0000-0002-0572-5575], Matharu, Avtar S. [0000-0002-9488-565X], Suelves Laiglesia, Isabel [0000-0001-8437-2204], Pinilla Ibarz, José Luis [0000-0002-8304-9656], Frecha, Esther, Torres Gamarra, Daniel, Remón, Javier, Gammons, Richard, Matharu, Avtar S., Suelves Laiglesia, Isabel, Pinilla Ibarz, José Luis, Ministerio de Economía, Industria y Competitividad (España), Ministerio de Ciencia e Innovación (España), Agencia Estatal de Investigación (España), European Commission, Ibercaja, Ministerio de Ciencia, Innovación y Universidades (España), Torres Gamarra, Daniel [0000-0002-7843-6141], Remón, Javier [0000-0003-3315-5933], Gammons, Richard [0000-0002-0572-5575], Matharu, Avtar S. [0000-0002-9488-565X], Suelves Laiglesia, Isabel [0000-0001-8437-2204], Pinilla Ibarz, José Luis [0000-0002-8304-9656], Frecha, Esther, Torres Gamarra, Daniel, Remón, Javier, Gammons, Richard, Matharu, Avtar S., Suelves Laiglesia, Isabel, and Pinilla Ibarz, José Luis
- Abstract
Carbon nanostructures provide a unique platform for the synthesis of novel catalysts for biomass conversion. In this work, a set of graphene oxide (GO)-based materials (nanofibers (GONF), sheets of few-layers (FLGO), and quantum dots (GOQD)), differing structurally in morphology and size, was prepared from fishbone-carbon nanofibers (CNF) and their catalytic behavior was compared on the hydrolysis of amorphous cellulose under microwave (MW) radiation. First, the influence of the reaction temperature (135–180 ºC), holding time (0–120 min), catalyst morphology and cellulose/water ratio (0.25–2.0 wt%) was thoroughly screened and compared with conventional heating mode. The use of GO morphologies in concert with MW energy showed the potential to achieve similar kinetic profiles than previously reported sulfonated carbons (110 kJ/mol) but using considerably less amount of catalyst (cellulose-to-catalyst ratio 12-fold lower). Overall, the reactivity of the GO-catalyst was related to their degree of oxidation/exfoliation, decreasing as follows: GOQD > FLGO > GONF. Compared with conventional heating, MW-technology enabled higher loadings of cellulose (2.0 vs. 0.25 wt%) to be processed in a shorter time (20 min instead of 24 h), which is a landmark achievement toward process intensification.
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- 2023
28. Descomposición catalítica de metano y biogás utilizando un mineral de hierro como catalizador: influencia de las condiciones de operación y de los tratamientos fisicoquímicos
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European Commission, Ministerio de Ciencia e Innovación (España), Agencia Estatal de Investigación (España), CSIC - Plataforma Temática Interdisciplinar del CSIC Transición energética (PTI TransEner +), Gobierno de Aragón, Torres Gamarra, Daniel [0000-0002-7843-6141], Pinilla Ibarz, José Luis [0000-0002-8304-9656], Suelves Laiglesia, Isabel [0000-0001-8437-2204], López de los Rïos, Jaime [jlopez@icb.csic.es], López de los Ríos, Jaime, Torres Gamarra, Daniel, Pinilla Ibarz, José Luis, Suelves Laiglesia, Isabel, European Commission, Ministerio de Ciencia e Innovación (España), Agencia Estatal de Investigación (España), CSIC - Plataforma Temática Interdisciplinar del CSIC Transición energética (PTI TransEner +), Gobierno de Aragón, Torres Gamarra, Daniel [0000-0002-7843-6141], Pinilla Ibarz, José Luis [0000-0002-8304-9656], Suelves Laiglesia, Isabel [0000-0001-8437-2204], López de los Rïos, Jaime [jlopez@icb.csic.es], López de los Ríos, Jaime, Torres Gamarra, Daniel, Pinilla Ibarz, José Luis, and Suelves Laiglesia, Isabel
- Abstract
El hidrógeno es un vector energético clave para conseguir un sistema de energía sostenible y libre de emisiones de COx. En este sentido, la descomposición catalítica de metano (DCM) se presenta como un proceso prometedor de producción de hidrógeno [1]. La DCM consiste en la descomposición de metano en hidrógeno y carbono a alta temperatura (550-900 ºC). Una ventaja de esta reacción sobre otros procesos de producción de H2, es que el carbono se captura como un sólido nanoestructurado, por lo que esta tecnología no tiene asociadas emisiones directas de CO2 [2]. En este escenario, es imperativa la búsqueda de catalizadores metálicos de bajo coste (residuos y minerales en bruto, entre otros) que maximicen la producción de hidrógeno en la DCM. Además, el acondicionamiento fisicoquímico de los catalizadores de partida puede modificar las propiedades de los mismos y mejorar la conversión de metano y la selectividad a hidrógeno en la reacción.
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- 2023
29. Catalytic hydrodeoxygenation of solar energy produced bio-oil in supercritical ethanol with Mo2C/CNF catalysts: effect of Mo Concentration
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Ministerio de Ciencia e Innovación (España), European Commission, CSIC - Plataforma Temática Interdisciplinar del CSIC Transición energética (PTI TransEner +), Gobierno de Aragón, Universidad Nacional Autónoma de México, Consejo Nacional de Ciencia y Tecnología (México), Centro Mexicano de Innovación en Energía Solar, Ayala Cortés, Alejandro [0000-0003-3933-5820], Torres Gamarra, Daniel [0000-0002-7843-6141], Arcelus Arrillaga, Pedro [0000-0003-3890-0154], Villafán, Heidi Isabel [0000-0002-0798-1361], Longoria, Adriana [0000-0002-9879-0885], Pinilla Ibarz, José Luis [0000-0002-8304-9656], Suelves Laiglesia, Isabel [0000-0001-8437-2204], Ayala Cortés, Alejandro, Torres Gamarra, Daniel, Frecha, Esther, Arcelus Arrillaga, Pedro, Villafán, Heidi Isabel, Longoria, Adriana, Pinilla Ibarz, José Luis, Suelves Laiglesia, Isabel, Ministerio de Ciencia e Innovación (España), European Commission, CSIC - Plataforma Temática Interdisciplinar del CSIC Transición energética (PTI TransEner +), Gobierno de Aragón, Universidad Nacional Autónoma de México, Consejo Nacional de Ciencia y Tecnología (México), Centro Mexicano de Innovación en Energía Solar, Ayala Cortés, Alejandro [0000-0003-3933-5820], Torres Gamarra, Daniel [0000-0002-7843-6141], Arcelus Arrillaga, Pedro [0000-0003-3890-0154], Villafán, Heidi Isabel [0000-0002-0798-1361], Longoria, Adriana [0000-0002-9879-0885], Pinilla Ibarz, José Luis [0000-0002-8304-9656], Suelves Laiglesia, Isabel [0000-0001-8437-2204], Ayala Cortés, Alejandro, Torres Gamarra, Daniel, Frecha, Esther, Arcelus Arrillaga, Pedro, Villafán, Heidi Isabel, Longoria, Adriana, Pinilla Ibarz, José Luis, and Suelves Laiglesia, Isabel
- Abstract
Transition metal carbides have emerged as an attractive alternative to conventional catalysts in hydrodeoxygenation (HDO) reactions due to surface reactivity, catalytic activity, and thermodynamic stability similar to those of noble metals. In this study, the impact of varying Mo concentration in carbon nanofiber-supported catalysts for the supercritical ethanol-assisted HDO of bio-oils in an autoclave batch reactor is discussed. Raw bio-oils derived from agave bagasse and corncob through solar hydrothermal liquefaction were treated at 350 °C. Our findings indicate that the presence of Mo has a strong impact on both product yield and chemical properties. Thus, a Mo concentration of 10 wt.% is enough to obtain high deoxygenation values (69–72%), resulting in a yield of upgraded bio-oil ranging between 49.9 and 60.4%, depending on the feedstock used, with an energy content of around 35 MJ/kg. A further increase in the Mo loadings (20 and 30 wt.%) reduced the loss of carbon due to gasification and improved the bio-oil yields up to 62.6 and 67.4%, without compromising the product quality.
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- 2023
30. Supplementary material for Upgrading of biomass-derived solar hydrothermal bio-oils through catalytic hydrodeoxygenation in supercritical ethanol [Dataset]
- Author
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Ministerio de Ciencia e Innovación (España), European Commission, CSIC - Plataforma Temática Interdisciplinar del CSIC Transición energética (PTI TransEner +), Agencia Estatal de Investigación (España), Universidad Nacional Autónoma de México, Consejo Nacional de Ciencia y Tecnología (México), Secretaría de Energía (México), Centro Mexicano de Innovación en Energía Solar, Ayala Cortés, Alejandro [0000-0003-3933-5820], Torres Gamarra, Daniel [0000-0002-7843-6141], Arcelus Arrillaga, Pedro [0000-0003-3890-0154], Villafán, Heidi Isabel [0000-0002-0798-1361], Longoria, Adriana [0000-0002-9879-0885], Pinilla Ibarz, José Luis [0000-0002-8304-9656], Suelves Laiglesia, Isabel [0000-0001-8437-2204], Pinilla Ibarz, José Luis [jlpinilla@icb.csic.es], Ayala Cortés, Alejandro, Torres Gamarra, Daniel, Frecha, Esther, Arcelus Arrillaga, Pedro, Villafán, Heidi Isabel, Longoria, Adriana, Pinilla Ibarz, José Luis, Suelves Laiglesia, Isabel, Ministerio de Ciencia e Innovación (España), European Commission, CSIC - Plataforma Temática Interdisciplinar del CSIC Transición energética (PTI TransEner +), Agencia Estatal de Investigación (España), Universidad Nacional Autónoma de México, Consejo Nacional de Ciencia y Tecnología (México), Secretaría de Energía (México), Centro Mexicano de Innovación en Energía Solar, Ayala Cortés, Alejandro [0000-0003-3933-5820], Torres Gamarra, Daniel [0000-0002-7843-6141], Arcelus Arrillaga, Pedro [0000-0003-3890-0154], Villafán, Heidi Isabel [0000-0002-0798-1361], Longoria, Adriana [0000-0002-9879-0885], Pinilla Ibarz, José Luis [0000-0002-8304-9656], Suelves Laiglesia, Isabel [0000-0001-8437-2204], Pinilla Ibarz, José Luis [jlpinilla@icb.csic.es], Ayala Cortés, Alejandro, Torres Gamarra, Daniel, Frecha, Esther, Arcelus Arrillaga, Pedro, Villafán, Heidi Isabel, Longoria, Adriana, Pinilla Ibarz, José Luis, and Suelves Laiglesia, Isabel
- Abstract
Table S1. Gas composition of ethanol at 250 and 400 ºC. Figure S2. TGA of a) corncob and b) Agave angustifolia bagasse in N2 atmosphere. Table S2. Carbon balances of the different products after HDO.Figure S2. Van Krevelen diagram comparing HDO of C-250 bio-oil with and without Mo2C/CNF based-catalyst at 350 ºC. Figure S3. Van Krevelen diagram zoom of the general influence of temperature of HDO in a Mo2C/CNF based-catalyst.
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- 2023
31. Upgrading of biomass-derived solar hydrothermal bio-oils through catalytic hydrodeoxygenation in supercritical ethanol
- Author
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Ministerio de Ciencia e Innovación (España), European Commission, Agencia Estatal de Investigación (España), Universidad Nacional Autónoma de México, Consejo Nacional de Ciencia y Tecnología (México), Secretaría de Energía (México), Centro Mexicano de Innovación en Energía Solar, CSIC - Plataforma Temática Interdisciplinar del CSIC Transición energética (PTI TransEner +), Ayala Cortés, Alejandro [0000-0003-3933-5820], Torres Gamarra, Daniel [0000-0002-7843-6141], Arcelus Arrillaga, Pedro [0000-0003-3890-0154], Villafán, Heidi Isabel [0000-0002-0798-1361], Longoria, Adriana [0000-0002-9879-0885], Pinilla Ibarz, José Luis [0000-0002-8304-9656], Suelves Laiglesia, Isabel [0000-0001-8437-2204], Pinilla Ibarz, José Luis [jlpinilla@icb.csic.es], Ayala Cortés, Alejandro, Torres Gamarra, Daniel, Frecha, Esther, Arcelus Arrillaga, Pedro, Villafán, Heidi Isabel, Longoria, Adriana, Pinilla Ibarz, José Luis, Suelves Laiglesia, Isabel, Ministerio de Ciencia e Innovación (España), European Commission, Agencia Estatal de Investigación (España), Universidad Nacional Autónoma de México, Consejo Nacional de Ciencia y Tecnología (México), Secretaría de Energía (México), Centro Mexicano de Innovación en Energía Solar, CSIC - Plataforma Temática Interdisciplinar del CSIC Transición energética (PTI TransEner +), Ayala Cortés, Alejandro [0000-0003-3933-5820], Torres Gamarra, Daniel [0000-0002-7843-6141], Arcelus Arrillaga, Pedro [0000-0003-3890-0154], Villafán, Heidi Isabel [0000-0002-0798-1361], Longoria, Adriana [0000-0002-9879-0885], Pinilla Ibarz, José Luis [0000-0002-8304-9656], Suelves Laiglesia, Isabel [0000-0001-8437-2204], Pinilla Ibarz, José Luis [jlpinilla@icb.csic.es], Ayala Cortés, Alejandro, Torres Gamarra, Daniel, Frecha, Esther, Arcelus Arrillaga, Pedro, Villafán, Heidi Isabel, Longoria, Adriana, Pinilla Ibarz, José Luis, and Suelves Laiglesia, Isabel
- Abstract
The use of concentrated solar energy as the heat source to perform hydrothermal liquefaction (HTL) of biomass is a promising alternative to improve the thermal efficiency of the process and reduce the environmental impact of the use of fossil fuels. However, the HTL of lignocellulosic biomass produces a bio-oil that still requires an upgrading treatment to improve its properties as fuel. In the present work, bio-oils obtained from solar hydrothermal liquefaction of Agave and corncob were upgraded for the first time by hydrodeoxygenation (HDO) in supercritical ethanol using a Mo2C catalyst supported in carbon nanofibers. The main results showed yields up to 69% of the upgraded bio-oil and a deoxygenation grade of 71%, with HHV values around 35 MJ/kg for most of the upgraded bio-oils. Moreover, it was observed that HDO treatment of the solar bio-oils can produce upgraded bio-oils with chemical properties and yields similar to those produced by conventional thermochemical methods, which opens the door to extend the use of concentrated solar technologies for the whole process: from biomass thermochemical conversion to its upgrading into drop-in fuels.
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- 2023
32. Image Processing Algorithm to Detect Defects in Optical Fibers
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Mafalda, Marcelo, Welfer, Daniel, De Souza Leite Cuadros, Marco Antônio, Gamarra, Daniel Fernando Tello, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Barreto, Guilherme A., editor, and Coelho, Ricardo, editor
- Published
- 2018
- Full Text
- View/download PDF
33. Soft Actor-Critic for Navigation of Mobile Robots
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de Jesus, Junior Costa, Kich, Victor Augusto, Kolling, Alisson Henrique, Grando, Ricardo Bedin, Cuadros, Marco Antonio de Souza Leite, and Gamarra, Daniel Fernando Tello
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- 2021
- Full Text
- View/download PDF
34. Random Forest Applied to Mass Imbalance Classification in Wind Turbines
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Da Silva, Eduardo G., primary, Da Silva, Emerson C., additional, Franchi, Claiton M., additional, Schaf, Frederico M., additional, Pinheiro, Humberto, additional, and Tello Gamarra, Daniel Fernando, additional
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- 2023
- Full Text
- View/download PDF
35. Enhanced Low-Dimensional Sensing Mapless Navigation of Terrestrial Mobile Robots Using Double Deep Reinforcement Learning Techniques
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De Moraes, Linda Dotto, primary, Kich, Victor Augusto, additional, Kolling, Alisson Henrique, additional, Bottega, Jair Augusto, additional, Grando, Ricardo Bedin, additional, Cukla, Anselmo Rafael, additional, and Gamarra, Daniel Fernando Tello, additional
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- 2023
- Full Text
- View/download PDF
36. Evaluation on IMU and odometry sensor fusion for a Turtlebot robot using AMCL on ROS framework.
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De Mello Gai, Angello, primary, Bevilacqua, Solon, additional, Cukla, Anselmo Rafael, additional, and Gamarra, Daniel Fernando Tello, additional
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- 2023
- Full Text
- View/download PDF
37. Parallel Distributional Prioritized Deep Reinforcement Learning for Unmanned Aerial Vehicles
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Kolling, Alisson Henrique, primary, Kich, Victor Augusto, additional, Jesus, Junior Costa de, additional, Silva, Andressa Cavalcante Da, additional, Grando, Ricardo Bedin, additional, Drews, Paulo Lilles Jorge, additional, and Gamarra, Daniel F. T., additional
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- 2023
- Full Text
- View/download PDF
38. Object Recognition Software Using RGBD Kinect Images and the YOLO Algorithm for Mobile Robot Navigation
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Henke dos Reis, Douglas, primary, Welfer, Daniel, additional, de Souza Leite Cuadros, Marco Antonio, additional, and Tello Gamarra, Daniel Fernando, additional
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- 2020
- Full Text
- View/download PDF
39. Noise Reduction with Detail Preservation in Low-Dose Dental CT Images by Morphological Operators and BM3D
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Marconato Stringhini, Romulo, primary, Welfer, Daniel, additional, Tello Gamarra, Daniel Fernando, additional, and Nogara Dotto, Gustavo, additional
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- 2020
- Full Text
- View/download PDF
40. Comparison of a Trajectory Controller Based on Fuzzy Logic and Backstepping Using Image Processing for a Mobile Robot
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Mattos da Silva, Rodrigo, primary, Rodrigues Garcia, Thiago, additional, de Souza Leite Cuadros, Marco Antonio, additional, and Tello Gamarra, Daniel Fernando, additional
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- 2020
- Full Text
- View/download PDF
41. Comparison of a Backstepping and a Fuzzy Controller for Tracking a Trajectory with a Mobile Robot
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da Silva, Rodrigo Mattos, primary, de Souza Leite Cuadros, Marco Antonio, additional, and Gamarra, Daniel Fernando Tello, additional
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- 2019
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42. Activity Gesture Recognition on Kinect Sensor Using Convolutional Neural Networks and FastDTW for the MSRC-12 Dataset
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Pfitscher, Miguel, primary, Welfer, Daniel, additional, de Souza Leite Cuadros, Marco Antonio, additional, and Gamarra, Daniel Fernando Tello, additional
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- 2019
- Full Text
- View/download PDF
43. Capacitance enhancement of hydrothermally reduced graphene oxide nanofibers
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European Commission, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Gobierno de Aragón, Ministerio de Economía, Industria y Competitividad (España), Torres Gamarra, Daniel [0000-0002-7843-6141], Pérez Rodríguez, Sara [0000-0002-8255-6904], Sebastián del Río, David [0000-0002-7722-2993], Pinilla Ibarz, José Luis [0000-0002-8304-9656], Lázaro Elorri, María Jesús [0000-0002-4769-2564], Suelves Laiglesia, Isabel [0000-0001-8437-2204], Torres Gamarra, Daniel, Pérez Rodríguez, Sara, Sebastián del Río, David, Pinilla Ibarz, José Luis, Lázaro Elorri, María Jesús, Suelves Laiglesia, Isabel, European Commission, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Gobierno de Aragón, Ministerio de Economía, Industria y Competitividad (España), Torres Gamarra, Daniel [0000-0002-7843-6141], Pérez Rodríguez, Sara [0000-0002-8255-6904], Sebastián del Río, David [0000-0002-7722-2993], Pinilla Ibarz, José Luis [0000-0002-8304-9656], Lázaro Elorri, María Jesús [0000-0002-4769-2564], Suelves Laiglesia, Isabel [0000-0001-8437-2204], Torres Gamarra, Daniel, Pérez Rodríguez, Sara, Sebastián del Río, David, Pinilla Ibarz, José Luis, Lázaro Elorri, María Jesús, and Suelves Laiglesia, Isabel
- Abstract
Nanocarbon materials present sp2-carbon domains skilled for electrochemical energy conversion or storage applications. In this work, we investigate graphene oxide nanofibers (GONFs) as a recent interesting carbon material class. This material combines the filamentous morphology of the starting carbon nanofibers (CNFs) and the interlayer spacing of graphene oxide, and exhibits a domain arrangement accessible for fast transport of electrons and ions. Reduced GONFs (RGONFs) present the partial removal of basal functional groups, resulting in higher mesoporosity, turbostratic stacking, and surface chemistry less restrictive for transport phenomena. Besides, the filament morphology minimizes the severe layer restacking shown in the reduction of conventional graphene oxide sheets. The influence of the reduction temperature (140–220 °C) on the electrochemical behaviour in aqueous 0.5 M H2SO4 of RGONFs is reported. RGONFs present an improved capacitance up to 16 times higher than GONFs, ascribed to the unique structure of RGONFs containing accessible turbostratic domains and restored electronic conductivity. Hydrothermal reduction at 140 °C results in the highest capacitance as evidenced by cyclic voltammetry and electrochemical impedance spectroscopy measurements (up to 137 F·g−1). Higher temperatures lead to the removal of sulphur groups and slightly thicker graphite domains, and consequently a decrease of the capacitance.
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- 2022
44. Design of highly active Ni catalysts supported on carbon nanofibers for the hydrolytic hydrogenation of cellobiose
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Ministerio de Economía, Industria y Competitividad (España), European Commission, Ministerio de Ciencia, Innovación y Universidades (España), Remón, Javier [0000-0003-3315-5933], Torres Gamarra, Daniel [0000-0002-7843-6141], Suelves Laiglesia, Isabel [0000-0001-8437-2204], Pinilla Ibarz, José Luis [0000-0002-8304-9656], Frecha, Esther, Remón, Javier, Torres Gamarra, Daniel, Suelves Laiglesia, Isabel, Pinilla Ibarz, José Luis, Ministerio de Economía, Industria y Competitividad (España), European Commission, Ministerio de Ciencia, Innovación y Universidades (España), Remón, Javier [0000-0003-3315-5933], Torres Gamarra, Daniel [0000-0002-7843-6141], Suelves Laiglesia, Isabel [0000-0001-8437-2204], Pinilla Ibarz, José Luis [0000-0002-8304-9656], Frecha, Esther, Remón, Javier, Torres Gamarra, Daniel, Suelves Laiglesia, Isabel, and Pinilla Ibarz, José Luis
- Abstract
The direct transformation of cellulose into sugar alcohols (one-pot conversion) over supported nickel catalysts represents an attractive chemical route for biomass valorization, allowing the use of subcritical water in the hydrolysis step. The effectiveness of this process is substantially conditioned by the hydrogenation ability of the catalyst, determined by design parameters such as the active phase loading and particle size. Herein, mechanistic insights into catalyst design to produce superior activity were outlined using the hydrolytic hydrogenation of cellobiose as a model reaction. Variations in the impregnation technique (precipitation in basic media, incipient wetness impregnation, and the use of colloidal-deposition approaches) endowed carbon-nanofiber-supported catalysts within a wide range of Ni crystal sizes (5.8–20.4 nm) and loadings (5–14 wt%). The link between the properties of these catalysts and their reactivity has been established using characterization techniques such as X-ray diffraction, transmission electron microscopy, X-ray photoelectron spectroscopy, and inductively coupled plasma-optical emission spectroscopy (ICP-OES). A fair compromise was found between the Ni surface area (3.89 m2/g) and its resistance against oxidation for intermediate crystallite sizes (∼11.3 nm) loaded at 10.7 wt%, affording the hydrogenation of 81.2% cellobiose to sorbitol after 3 h reaction at 190°C and 4.0 MPa H2 (measured at room temperature). The facile oxidation of smaller Ni particle sizes impeded the use of highly dispersed catalysts to reduce the metal content requirements.
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- 2022
45. Influencia de las condiciones de operación de la hidrodesoxigenación de bio-oil en un reactor de lecho percolado en continuo
- Author
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Ministerio de Economía y Competitividad (España), European Commission, Ministerio de Ciencia e Innovación (España), Agencia Estatal de Investigación (España), Remón, Javier [0000-0003-3315-5933], Torres Gamarra, Daniel [0000-0002-7843-6141], Pinilla Ibarz, José Luis [0000-0002-8304-9656], Suelves Laiglesia, Isabel [0000-0001-8437-2204], Gracia Soguero, Jesús, Remón, Javier, Torres Gamarra, Daniel, Pinilla Ibarz, José Luis, Suelves Laiglesia, Isabel, Ministerio de Economía y Competitividad (España), European Commission, Ministerio de Ciencia e Innovación (España), Agencia Estatal de Investigación (España), Remón, Javier [0000-0003-3315-5933], Torres Gamarra, Daniel [0000-0002-7843-6141], Pinilla Ibarz, José Luis [0000-0002-8304-9656], Suelves Laiglesia, Isabel [0000-0001-8437-2204], Gracia Soguero, Jesús, Remón, Javier, Torres Gamarra, Daniel, Pinilla Ibarz, José Luis, and Suelves Laiglesia, Isabel
- Abstract
La creciente demanda de combustible ha promovido la búsqueda de fuentes de origen renovable alternativas al petróleo. Mediante la pirólisis de biomasa lignocelulósica es posible obtener un aceite pirolítico (bio-oil) con múltiples aplicaciones. No obstante, su alto contenido en oxígeno limita sustancialmente su uso como combustible, haciendo necesaria una etapa previa de desoxigenación. En este sentido, el proceso de hidrodesoxigenación (HDO) catalítica permite obtener un líquido orgánico con propiedades combustibles mejoradas. En este trabajo se presentan los resultados obtenidos durante la HDO de líquidos de pirólisis de biomasa utilizando un catalizador de carburo de molibdeno soportado en nanofibras de carbono (Mo2C/CNF). Inicialmente, se abordó el efecto de las condiciones de operación utilizando guayacol como compuesto modelo del líquido de pirólisis. Posteriormente, se analizó la actividad catalítica del catalizador utilizando una alimentación real consistente en la fracción lignínica de un líquido procedente de la pirólisis de biomasa lignocelulósica (lignin-oil). Estos estudios permitieron evaluar la posibilidad de utilizar los líquidos de pirólisis de biomasa como combustible.
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- 2022
46. Influencia de la morfología de óxidos de grafeno en la hidrólisis de celulosa amorfa bajo diferentes modos de calentamiento
- Author
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Torres Gamarra, Daniel [0000-0002-7843-6141], Remón, Javier [0000-0003-3315-5933], Matharu, Avtar S. [0000-0002-9488-565X], Suelves Laiglesia, Isabel [0000-0001-8437-2204], Pinilla Ibarz, José Luis [0000-0002-8304-9656], Frecha, Esther, Torres Gamarra, Daniel, Remón, Javier, Matharu, Avtar S., Suelves Laiglesia, Isabel, Pinilla Ibarz, José Luis, Torres Gamarra, Daniel [0000-0002-7843-6141], Remón, Javier [0000-0003-3315-5933], Matharu, Avtar S. [0000-0002-9488-565X], Suelves Laiglesia, Isabel [0000-0001-8437-2204], Pinilla Ibarz, José Luis [0000-0002-8304-9656], Frecha, Esther, Torres Gamarra, Daniel, Remón, Javier, Matharu, Avtar S., Suelves Laiglesia, Isabel, and Pinilla Ibarz, José Luis
- Abstract
La despolimerización de la celulosa en azúcares simples representa uno de los principales obstáculos del aprovechamiento de la biomasa lignocelulósica. Las características supramoleculares de este biopolímero, impuestas principalmente por su arreglo cristalino, cobran especial relevancia en reacciones heterogéneas, donde se ve impedido el acceso de los enlaces glucosídicos más internos a los sitios ácidos de un catalizador granular. En este contexto, las nanoestructuras de carbono ofrecen una serie de posibilidades de diseño muy interesantes, con morfologías que van de 3D a 0D y grupos químicos superficiales que se pueden incorporar a través de numerosas metodologías de funcionalización y relacionarse específicamente con su tamaño. Como ejemplo ilustrativo de este potencial, el presente trabajo compara la actividad catalítica de tres morfologías de óxido de grafeno: nanofibras (GONF), láminas de pocas capas (FLGO) y puntos cuánticos (GOQD), en la hidrólisis de celulosa amorfa. Además, se emplearon diferentes fuentes de calentamiento, incluyendo el procedimiento convencional y el asistido por microondas.
- Published
- 2022
47. Algoritmos de navegação de robôs móveis com tração nas quatro rodas utilizando sistemas de localização absolutos GNSS e RTK
- Author
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Salarolli, Pablo France, primary, Baptista, Leonardo Gonçalves, additional, Oliveira, Caio Lopes, additional, Valadão, Carlos Torturella, additional, Gamarra, Daniel Fernando Tello, additional, Pereira, Rogério Passos do Amaral, additional, Almeida, Gustavo Maia de, additional, and Cuadros, Marco Antonio de Souza Leite, additional
- Published
- 2023
- Full Text
- View/download PDF
48. Construção de robô 4WD para navegação indoor utilizando ROS 2
- Author
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Baptista, Leonardo Gonçalves, primary, Salarolli, Pablo France, additional, Oliveira, Caio Lopes, additional, Valadão, Carlos Torturella, additional, Gamarra, Daniel Fernando Tello, additional, Pereira, Rogério Passos do Amaral, additional, Almeida, Gustavo Maia de, additional, and Cuadros, Marco Antonio de Souza Leite, additional
- Published
- 2023
- Full Text
- View/download PDF
49. Influencia de las condiciones de operación de la hidrodesoxigenación de bio-oil en un reactor de lecho percolado en continuo
- Author
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Gracia Soguero, Jesús, Remón, Javier, Torres Gamarra, Daniel, Pinilla Ibarz, José Luis, Suelves Laiglesia, Isabel, Ministerio de Economía y Competitividad (España), European Commission, Ministerio de Ciencia e Innovación (España), Agencia Estatal de Investigación (España), Remón, Javier [0000-0003-3315-5933], Torres Gamarra, Daniel [0000-0002-7843-6141], Pinilla Ibarz, José Luis [0000-0002-8304-9656], Suelves Laiglesia, Isabel [0000-0001-8437-2204], Remón, Javier, Torres Gamarra, Daniel, Pinilla Ibarz, José Luis, and Suelves Laiglesia, Isabel
- Subjects
Biocombustibles ,Hidrodesoxigenación ,Carburo de molibdeno ,Operación en continuo - Abstract
1 figura.-- Resumen de la comunicación presentada en la XV Reunión del Grupo Español del Carbón, 24-27 abril 2022, Granada (España).-- C-52.-- D.L. GR 695-2022, La creciente demanda de combustible ha promovido la búsqueda de fuentes de origen renovable alternativas al petróleo. Mediante la pirólisis de biomasa lignocelulósica es posible obtener un aceite pirolítico (bio-oil) con múltiples aplicaciones. No obstante, su alto contenido en oxígeno limita sustancialmente su uso como combustible, haciendo necesaria una etapa previa de desoxigenación. En este sentido, el proceso de hidrodesoxigenación (HDO) catalítica permite obtener un líquido orgánico con propiedades combustibles mejoradas. En este trabajo se presentan los resultados obtenidos durante la HDO de líquidos de pirólisis de biomasa utilizando un catalizador de carburo de molibdeno soportado en nanofibras de carbono (Mo2C/CNF). Inicialmente, se abordó el efecto de las condiciones de operación utilizando guayacol como compuesto modelo del líquido de pirólisis. Posteriormente, se analizó la actividad catalítica del catalizador utilizando una alimentación real consistente en la fracción lignínica de un líquido procedente de la pirólisis de biomasa lignocelulósica (lignin-oil). Estos estudios permitieron evaluar la posibilidad de utilizar los líquidos de pirólisis de biomasa como combustible., Los autores agradecen al MINECO y FEDER (ENE 2017-83854-R) y al MCIN/AEI/10.13039/501100011033 (PID2020-115053RB-I00) la financiación recibida. J.G. y J.R. agradecen la concesión de las ayudas FPI (PRE2018-085182) y JdC (FJCI-2016-30847 y IJC2018-037110-I), respectivamente.
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- 2022
50. Minerales de hierro como catalizadores para la producción de hidrógeno y nanomateriales de carbono a partir de la descomposición de metano
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Alves da Silva, Juliana, Oliveira Santos, Joao Batista, Torres Gamarra, Daniel, Pinilla Ibarz, José Luis, Suelves Laiglesia, Isabel, Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil), Fundação de Amparo à Pesquisa do Estado de São Paulo, Ministério da Educação (Brasil), Ministerio de Economía y Competitividad (España), European Commission, Alves da Silva, Juliana [0000-0003-2434-0344], Torres Gamarra, Daniel [0000-0002-7843-6141], Pinilla Ibarz, José Luis [0000-0002-8304-9656], Suelves Laiglesia, Isabel [0000-0001-8437-2204], Alves da Silva, Juliana, Torres Gamarra, Daniel, Pinilla Ibarz, José Luis, and Suelves Laiglesia, Isabel
- Subjects
Descomposición catalítica de metano ,Minerales de hierro ,Catalizadores de hierro ,Nanomateriales de carbono ,Producción de hidrógeno - Abstract
1 figura.-- Resumen de la comunicación presentada en la XV Reunión del Grupo Español del Carbón, 24-27 abril 2022, Granada (España).-- C-96.-- D.L. GR 695-2022, La descomposición catalítica del metano (DCM) representa un enfoque prometedor para la producción conjunta de H2 libre de CO2 y nanomateriales de carbono de alto valor añadido. En este escenario, los catalizadores basados en Fe son menos costosos que los de Ni o Co y promueven la formación de nanofilamentos de carbono grafíticos con un mayor orden estructural. Los catalizadores basados en Fe requieren también mayores temperaturas de reacción (700-900 ºC) lo que da lugar a un desplazamiento positivo del equilibrio termodinámico de la DCM permitiendo la obtención potencial de mayores conversiones de metano. En el presente trabajo se han estudiado como catalizador dos minerales de hierro de origen natural: tierga (compuesto principalmente por α-Fe2O3) e ilmenita (principalmente Fe2TiO5 y TiO2) procedentes de Tierga (Zaragoza) y Sokndal (Noruega), respectivamente. Dado que el mineral de Tierga mostró un rendimiento catalítico superior al de la ilmenita, éste se empleó en la DCM para evaluar los efectos de la temperatura de reacción y la velocidad espacial, así como el de la atmósfera reductora empleada en la activación del mineral., Este trabajo ha sido financiado por proyectos de diferentes instituciones brasileñas: CNPq [Process 141308/2018-4], FAPESP [Process 2018-01258-5], CAPES [Finance Code 001]; y españolas: Ministerio de Economía y Competitividad [ENE2017-83854-R]; además de contar con la participación de fondos FEDER.
- Published
- 2022
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