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22 results on '"Ramalho, Fernanda Maria Guedes"'

8. Planting spacing influences radial variation of basic density and chemical composition of wood from fast growing young Eucalyptus plantations

Author

Pimenta, Emanuella Mesquita, primary, Brito, Emilly Gracielly dos Santos, additional, Gomes, Paola Freitas, additional, Ramalho, Fernanda Maria Guedes, additional, Vidaurre, Graziela Baptista, additional, Couto, Allan Motta, additional, Campoe, Otávio Camargo, additional, and Hein, Paulo Ricardo Gherardi, additional

Published
2023
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13. Evaluation of the spatial variation in moisture content inside wood pieces during drying by NIR spectroscopy.

Author

Baliza, Lívia Freire, Silva, Carlos Henrique da, Amaral, Evelize Aparecida, Ramalho, Fernanda Maria Guedes, Trugilho, Paulo Fernando, Sun, Honggang, and Hein, Paulo Ricardo Gherardi

Subjects
MOISTURE in wood, SPATIAL variation, WOOD, MASS spectrometry, WATER masses
Abstract

The moisture content (MC) of wood affects its industrial performance, but it is difficult to monitor spatial variations in MC. Here, a multivariate regression was developed to estimate the MC from near infrared (NIR) spectra and was used to monitor the spatial variation in the MC of wood during air- and oven-drying. The spectra and mass of wood pieces were measured at five stages during drying (at each 20% loss of initial water mass). Wood pieces were dried naturally and oven-dried at 60 °C. Initially, 25 spectra were recorded at equidistant points covering the entire longitudinal × radial surface of the sample. Then, a planing machine was used to access the inside of the wood, and NIR spectra were measured for each new surface, at a total of 100 points spatially distributed within the wood pieces. The wood pieces were analyzed in their original state, and when they had lost 20, 40, 60, and 80% of their initial water mass. An NIR-based regression (R2p = 0.90 and RMSEP = 10.51%) was applied to estimate the MC, and its spatial gradient during drying was then mapped. These analyses revealed the spatial variation in MC within wood pieces during drying. [ABSTRACT FROM AUTHOR]

Published
2023
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16. List of contributors

Author

Adesina, Adeyemi, Ali, Ernie Suzana, Al-Maharma, Ahmad Y., Amith Kumar, S.J., Aquino, Marcos, Azad, Muhammad Muzammil, Balaji, D., Bharath, K.N., Bhuvaneswari, V., Binoj, B.S., Bishi, Dillip Kumar, Bufalino, Lina, Burela, Ramesh Gupta, Chaturvedi, Adarsh, Chaudhary, Vijay, Costa, Lívia Ribeiro, Das, Partha Pratim, Denzin Tonoli, Gustavo Henrique, Dileepkumar, S.G., dos Santos, Sergio Francisco, Ejaz, Mohsin, Ezhilarasu, Hariharan, Gangil, Brijesh, Genc, Garip, Gisip, Judith, Gopal, P.M., Gorbatyuk, Sergey, Gupta, Manan, Gupta, Raju Kumar, Hein, Paulo Ricardo Gherardi, Hwang, Soo-Kyung, Indran, S., Iqbal, Mohammad Irfan, Isanaka, Bhargav Reddy, Jafrey Daniel James, D., Jain, Akshat, Jayanarayanan, K., Kamineni, Jagath Narayana, Kamperidou, V., Kamran Afaq, S., Kavimani, V., Kim, Hyun Joong, Koc, Busra, Koltsou, P., Kong, Ing, Konstandinidis, A., Koruk, Hasan, Kushvaha, Vinod, Madhu, P., Manicoba, Ernesto, Manjunatha, G.B., Manoharan, S., Markert, Bernd, Mathapati, Santosh S., Mazumder, Nur-Us-Shafa, Mini, K.M., Mizan, Rashed Al, Muhammad, Siti Nuramirah Rabbani, Navaneethakrishnan, Palanisamy, Padhi, Priyadarshini, Papadopoulos, S., Patil, Sandeep P., Prateek, Praveenkumara, J., Rahim, Mohd Hasbi Ab., Rajendran, Rejeesh C., Rajeshkumar, L., Rakesh, Pawan Kumar, Ramalho, Fernanda Maria Guedes, Ramalingam, Raghavendra, Ramesh, M., Ranakoti, Lalit, Sanjay, M.R., Sanliturk, Kenan Y., Santos, Caroliny, Santos, Thiago, Sarangi, Saroj Kumar, Satheeshkumar, Subramani, Sathishkumar, Tottyeapalayam Palanisamy, Sathyan, Dhanya, Savastano Junior, Holmer, Saygili, Yusuf, Shah, Atta ur Rehman, Sharma, Gagan, Siengchin, Suchart, Song, Jung-il, Sonkaria, Sanjiv, Stefanidou, M., Surip, Siti Norasmah, Surya Rajan, B., Teixeira, Ronaldo Soares, Thankachan, Titus, Venkataprasanna, K.S., Venugopal, Jayarama Reddy, Vijay, R., and Zakaria, Mohd Nazarudin

Published
2022
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21. Artificial Neural Networks To Distinguish Charcoal from Eucalyptusand Native Forests Based on Their Mineral Components

Author

Ramalho, Fernanda Maria Guedes, Carvalho, Geila Santos, Hein, Paulo Ricardo Gherardi, Napoli, Alfredo, Wojcieszak, Robert, and Guilherme, Luiz Roberto Guimarães

Abstract

Charcoal is produced through the pyrolysis of wood. It is used as the main domestic energy source in many tropical countries from Africa and Asia, and it is used as a reductor product in the steel industry in Brazil. However, the indiscriminant use of wood from native forests is detrimental to sustainability. The development of rapid and efficient methodologies for distinguishing charcoal produced from native forest or Eucalyptusplantations, as found partially in Brazil, is essential to curb illegal charcoal transport and trade. The aim of this study was to distinguish charcoals from native or Eucalyptuswoods by using artificial neural networks (ANNs) based on their mineral composition. Specimens from Brazilian native woods (Apuleiasp., Cedrelasp., Aspidospermasp., Jacarandasp., Peltogynesp., Dipteryxsp., and Gochnatiasp.) and from Eucalyptussp. hybrid woods of commercial forest plantations were pyrolyzed at temperatures from 300 °C to 700 °C in order to simulate the actual pyrolysis conditions and species widely used illegally in southeastern Brazil. Charcoals composition and proportion of mineral elements were determined by X-ray fluorescence. The ANNs were trained based on the elemental composition of the charcoal specimens to classify the species and origin of the charcoals (i.e., native forest or Eucalyptus). The ANNs based on mineral element content yielded high percentage of correct classification for charcoal specimens by species (72% accuracy) or origin (97% accuracy) from an independent validation sample set.

Published
2020
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22. Qualidade da madeira e do carvão vegetal oriundos de floresta plantada em Minas Gerais

Author

Protásio, Thiago de Paula, Goulart, Selma Lopes, Neves, Thiago Andrade, Trugilho, Paulo Fernando, Ramalho, Fernanda Maria Guedes, and Queiroz, Lívia Mara Rodrigues de Souza Brites

Subjects
Energia de biomassa, Eucalyptus spp, Combustion, Biomass energy, Carbonização, Carbonization, Combustão
Abstract

The objective of this study was to evaluate the wood and charcoal quality of young Eucalyptus spp. trees, and to verify the influence of age and clone on the energy performance of these fuels. It was sampled the clones 1277 and 0321 of Eucalyptus spp. in two ages (46 and 58 months). The characteristics determined in the wood were: chemical molecular and elementary, basic density, carbon stocks and lignin by volume, the energy density and heating values (higher and lower). The charcoal was produced in an electric furnace (muffle) with the final temperature of 450 °C. It was conducted the mass balance and carbonization energy, beyond the immediate evaluation of the chemical composition, apparent density and calorific value of charcoal. The clone 1277, at the age 58 months, is the most suitable for the charcoal production for steel industry and direct combustion of wood, because it showed better results for basic density, energy density, carbon stocks and lignin per unit volume and the lignin content of the wood. The clonal effect and age did not influence the content of fixed carbon and volatile materials, the calorific values, the gravimetric yield in charcoal and energy losses of carbonization. O objetivo deste trabalho foi avaliar a qualidade da madeira e do carvão vegetal oriundos de árvores jovens de Eucalyptus spp., bem como verificar a influência da idade e clone no desempenho energético desses combustíveis. Foram amostrados os clones 1277 e 0321 de Eucalyptus spp. em duas idades (46 e 58 meses). Na madeira foram determinadas as características químicas moleculares e elementares, a densidade básica, os estoques de carbono e lignina por volume, as densidades energéticas e os poderes caloríficos (superior e inferior). O carvão vegetal foi produzido em um forno elétrico (mufla) com temperatura final de 450 °C. Foi realizado o balanço de massa e energia das carbonizações, além da avaliação da composição química imediata, densidade aparente e poderes caloríficos do carvão vegetal produzido. O clone 1277, na idade de 58 meses, é o mais indicado para a produção de carvão vegetal siderúrgico e combustão direta da madeira, pois apresentou melhores resultados para a densidade básica, densidades energéticas, estoques de carbono e lignina por unidade de volume e para o teor de lignina da madeira. O efeito clonal e da idade não influenciou os teores de carbono fixo e materiais voláteis, os poderes caloríficos, o rendimento em carvão vegetal e as perdas energéticas da carbonização.

Published
2014

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