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

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hdl:2117/24183
Document typeConference report
Defense date2014
PublisherS. Ekinovic, S. Yalcin, J. Vivancos.
Rights accessOpen Access
This work is protected by the corresponding intellectual and industrial property rights.
Except where otherwise noted, its contents are licensed under a Creative Commons license
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Attribution-NonCommercial-NoDerivs 3.0 Spain
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 Ra
value, the model predicts process variables to be employed. This is not possible with statistical
models. Two different approaches were considered: use of a single network or use of five networks.
CitationSivatte, 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.
ISBN1840-4994
Publisher versionhttp://www.tmt.unze.ba/zbornik/TMT2014/TMT2014_004.pdf
Collections
- Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial - Ponències/Comunicacions de congressos [1.572]
- Departament d'Enginyeria mecànica - Ponències/Comunicacions de congressos [517]
- TECNOFAB - Grup de Recerca en Tecnologies de Fabricació - Ponències/Comunicacions de congressos [85]
- GREC - Grup de Recerca en Enginyeria del Coneixement - Ponències/Comunicacions de congressos [114]
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