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Develoment of an inverse model for honing processes by means of neural networks

Author
Sivatte, M.; Parra, X.; Buj, I.; Joan Vivancos-Calvet
Type of activity
Presentation of work at congresses
Name of edition
18th International Research/Expert Conference "Trends in the Development of Machinery and Associated Technology"
Date of publication
2014
Presentation's date
2014-09-11
Book of congress proceedings
Proceedings of the 18th International Research/Expert Conference "Trends in the Development of Machinery and Associated Technology"
First page
9
Last page
12
Publisher
S. Ekinovic, S. Yalcin, J. Vivancos.
Repository
http://hdl.handle.net/2117/24183 Open in new window
URL
http://www.tmt.unze.ba/zbornik/TMT2014/TMT2014_004.pdf Open in new window
Abstract
In a previous paper, artificial neural networks were employed for modelling average roughness Ra in rough honing processes as a function of process variables, namely grain size, density, linear speed, tangential speed and pressure, by means of the direct problem. In addition, neural network model was compared to statistical models for modelling roughness. In the present paper the inverse problem was studied and analyzed by means of neural networks, in which given a certain average roughness ...
Citation
Sivatte, M. [et al.]. Develoment of an inverse model for honing processes by means of neural networks. A: International Reseach/Expert Conference. "Proceedings of the 18th International Research/Expert Conference". Budapest: S. Ekinovic, S. Yalcin, J. Vivancos., 2014, p. 9-12.
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

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