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4 results on '"Armando Nicolella"'

1. Discriminant Analysis of the Vibrational Behavior of a Gas Micro-Turbine as a Function of Fuel

Author

Vincenzo Niola, Sergio Savino, Giuseppe Quaremba, Chiara Cosenza, Armando Nicolella, and Mario Spirto

Subjects
gas micro-turbine, discriminant analysis, vibrational analysis, diesel blends, kerosene, biofuel, Mechanical engineering and machinery, TJ1-1570
Abstract

Several studies were conducted previously on fuel and biofuel performance of micro-turbines. The present paper combines experimental and statistical approaches to study the vibrational behavior of a gas micro-turbine supplied with different pure fuels and admixed with rapeseed oils. Experimental tests carried out at different operating conditions have allowed us to build a classification model through using discriminant analysis. The classification model can distinguish the vibrational behavior occurring when the turbine is fueled with kerosene, or pure and admixed diesel with rapeseed oil. Moreover, the methodology has even allowed us to highlight differences in vibrational behavior caused by small amounts of rapeseed oil admixed in the fuel. The model reliability, in terms of Cohen’s kappa, results in optimal data classification.

Published
2022
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2. Mechanical System Control by RGB-D Device

Author

Chiara Cosenza, Armando Nicolella, Daniele Esposito, Vincenzo Niola, and Sergio Savino

Subjects
RGB-D sensors, vision devices, intel realsense, vision-based control, computer vision, Mechanical engineering and machinery, TJ1-1570
Abstract

Computer vision for control is a growing domain of research and it is widespread in industry and the autonomous vehicle field. A further step is the employment of low-cost cameras to perform these applications. To apply such an approach, the development of proper algorithms to interpret vision data is mandatory. Here, we firstly propose the development of an algorithm to measure the displacement of a mechanical system in contactless mode. Afterwards, we show two procedures that use a 3D camera as a feedback in control strategies. The first one aims to track a moving object. In the second one, the information gained from vision data acquisition allows the mechanical system control to ensure the equilibrium of a ball placed on a moving slide.

Published
2020
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3. An Overview on the Kinematic Analysis of the Rocker-Bogie Suspension for Six Wheeled Rovers Approaching an Obstacle

Author

Armando Nicolella, Vincenzo Niola, Stefano Pagano, Sergio Savino, Mario Spirto, Nicolella, A., Niola, V., Pagano, S., Savino, S., and Spirto, M.

Subjects
Rocker-bogie, Articulated suspension, Rover, Ground obstacle
Abstract

Articulated rocker-bogie suspension systems have gained a lot of attention since they were used for rovers destined for space exploration on Mars. This type of suspension allows the vertical load to be distributed equally between the wheels, reducing the risk of the most loaded wheels sinking in the case of soft ground. This peculiarity is verified if the rover moves on flat and horizontal surfaces; if the rover moves on uneven surfaces, the suspension still allows the wheels to be kept in contact with the ground, but the load distribution changes. This paper presents the study of the variation in the distribution of the load among the wheels and the rover stability for different ground geometries; the study involves a preventive kinematic analysis of position to define the configuration of the suspension as a function of the ground geometry.

Published
2022

4. Mechanical system control by rgb-d device

Author

Sergio Savino, Vincenzo Niola, Armando Nicolella, Daniele Esposito, Chiara Cosenza, Cosenza, C., Nicolella, A., Esposito, D., Niola, V., and Savino, S.

Subjects
0209 industrial biotechnology, Control and Optimization, Computer science, lcsh:Mechanical engineering and machinery, Control (management), 02 engineering and technology, RGB-D sensor, Industrial and Manufacturing Engineering, Field (computer science), Displacement (vector), Domain (software engineering), 020901 industrial engineering & automation, Mode (computer interface), Data acquisition, 0202 electrical engineering, electronic engineering, information engineering, Computer Science (miscellaneous), Computer vision, lcsh:TJ1-1570, Electrical and Electronic Engineering, Vision device, RGB-D sensors, business.industry, Mechanical Engineering, Object (computer science), vision devices, Vision-based control, Mechanical system, Control and Systems Engineering, Intel realsense, 020201 artificial intelligence & image processing, Artificial intelligence, business
Abstract

Computer vision for control is a growing domain of research and it is widespread in industry and the autonomous vehicle field. A further step is the employment of low-cost cameras to perform these applications. To apply such an approach, the development of proper algorithms to interpret vision data is mandatory. Here, we firstly propose the development of an algorithm to measure the displacement of a mechanical system in contactless mode. Afterwards, we show two procedures that use a 3D camera as a feedback in control strategies. The first one aims to track a moving object. In the second one, the information gained from vision data acquisition allows the mechanical system control to ensure the equilibrium of a ball placed on a moving slide.

Published
2021

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