Neural network approach for cutting parameter selection in milling |
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| M. Sekar, J. Srinivas, Seung-Han Yang |
- Abstract:
- This paper proposes a predictive open-loop control approach to maintain effective speed regulation during end-milling operation. The process is analyzed analytically using two-degree of freedom model and the time domain and frequency domain data are used to construct a chatter prediction neural network model. Sixty training sets are prepared with and without chatter conditions. A neural network controller is proposed for tracking the overall response within chatter limits. The effectiveness of prediction network and controller is illustrated with an example.
- Keywords:
- End-milling; Analytical Modeling; Neural network; Feedback control; Chatter stability
- Download:
- IMEKO-TC14-2007-47.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC14
- Event name:
- TC14 ISMQC 2007
- Title:
9th Symposium on Measurement and Quality Control in Manufacturing
- Place:
- Chennai/Madras, INDIA
- Time:
- 21 November 2007 - 24 November 2007