Neural network approach for cutting parameter selection in milling

• 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:

  _unreg_tc14-2007.47

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