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Selection of a neural network for modelling the honing process

Author
Sivatte, M.; Parra, X.; Buj, I.; Joan Vivancos-Calvet
Type of activity
Presentation of work at congresses
Name of edition
17th International Research/Expert Conference ”Trends in the Development of Machinery and Associated Technology”
Date of publication
2013
Presentation's date
2013-09-11
Book of congress proceedings
Proceedings of 17th International Research/Expert Conference ”Trends in the Development of Machinery and Associated Technology” TMT 2013
First page
1
Last page
4
Repository
http://hdl.handle.net/2117/20371 Open in new window
Abstract
Roughness obtained in honing process depends on many different process parameters, such as grain size of abrasive stones, pressure of stones on the workpiece’s surface, density of abrasive, tangential speed of the honing head and linear speed of the honing head. This fact makes it difficult to study the process from an analytical point of view. For this reason, use of empirical methods or use of artificial intelligence is recommended in this case. In the present paper, results about use of neu...
Citation
Sivatte, M. [et al.]. Selection of a neural network for modelling the honing process. A: International Reseach/Expert Conference. "Proceedings of 17th International Research/Expert Conference ”Trends in the Development of Machinery and Associated Technology” TMT 2013". Istanbul: 2013, p. 1-4.
Keywords
Honing, Neural networks, Roughness
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