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Neural network model for surface roughness in semifinish honing

Author
Sivatte, M.; Parra, X.; Buj, I.; Joan Vivancos-Calvet
Type of activity
Presentation of work at congresses
Name of edition
19th International Research/Expert Conference Trends in the Development of Machinery and Associated Technology
Date of publication
2015
Presentation's date
2015-07-22
Book of congress proceedings
TMT 2015: 19th International Research/Expert Conference Trends in the Development of Machinery and Associated Technology: Barcelona, Spain: July 22-23, 2015: proceedings
First page
5
Last page
8
Repository
http://hdl.handle.net/2117/77552 Open in new window
http://www.tmt.unze.ba/zbornik/TMT2015Journal/002_Journal_TMT_2015.pdf Open in new window
Abstract
In the present work, neural networks were used for modelling average roughness Ra as a function of process parameters: grain size, density of abrasive, pressure of honing stones on the workpiece’s surface, linear speed and tangential speed. For doing this, first experimental semifinish honing tests were performed. Then results were used for selecting best configuration of the neural network, taking into account either one or two hidden layers. In addition, neural models were compared to regres...
Citation
Sivatte, M., Llanas, F., Buj, I., Vivancos, J. Neural network model for surface roughness in semifinish honing. A: International Research / Expert Conference. "Proceedings of the 19th International Research/Expert Conference ”Trends in the Development of Machinery and Associated Technology” TMT 2015". Barcelona: 2015, p. 5-8.
Keywords
Honing, Neural networks, Regression
Group of research
CETpD - Technical Research Centre for Dependency Care and Autonomous Living
ISSET - Integrated Smart Sensors and Health Technologies
TECNOFAB - Manufacturing Technologies Research Group

Participants

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