Paper Title:
Investigations on Drilling of Multimaterial and Analysis by ANN
  Abstract

This paper presents experimental and analytical investigation on drilling of carbon fibre reinforced plastic and aluminium stacks. The experimental results conducted as per full factorial experimental design reveal that drill diameter and feed rate have significant effects in reducing thrust force and torque while spindle speed has the least effect. The analytical study is based on artificial neural network (ANN) training using feed-forward back propagation network. The correlations obtained by multi-variable regression analysis and ANN, indicate that ANN is more effective than regression analysis.

  Info
Periodical
Edited by
Jun Wang,Philip Mathew, Xiaoping Li, Chuanzhen Huang and Hongtao Zhu
Pages
347-352
DOI
10.4028/www.scientific.net/KEM.443.347
Citation
V. Krishnaraj, R. Zitoune, F. Collombet, "Investigations on Drilling of Multimaterial and Analysis by ANN", Key Engineering Materials, Vol. 443, pp. 347-352, 2010
Online since
June 2010
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$32.00
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