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Modelling and Simulation in Engineering
Volume 2011 (2011), Article ID 696275, 7 pages
http://dx.doi.org/10.1155/2011/696275
Review Article

Application of ANN in Milling Process: A Review

Department of Mechanical and Material Engineering, Faculty of Engineering and Built Environment, National University of Malaysia, Selangor, 43600 Bangi, Malaysia

Received 16 December 2010; Accepted 14 March 2011

Academic Editor: Agostino Bruzzone

Copyright © 2011 Salah Al-Zubaidi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [8 citations]

The following is the list of published articles that have cited the current article.

  • T. Saric, G. Simunovic, and K. Simunovic, “Use Of Neural Networks In Prediction And Simulation Of Steel Surface Roughness,” International Journal of Simulation Modelling, vol. 12, no. 4, pp. 225–236, 2013. View at Publisher · View at Google Scholar
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  • Mehrdad Nouri Khajavi, Ebrahim Nasernia, and Mostafa Rostaghi, “Milling tool wear diagnosis by feed motor current signal using an artificial neural network,” Journal of Mechanical Science and Technology, vol. 30, no. 11, pp. 4869–4875, 2016. View at Publisher · View at Google Scholar
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  • Ali Benamar, Farid Noureddine, Farid Boukezzi, and Rachid Noureddine, “Modelling, prediction and analysis of surface roughness in turning process with carbide tool when cutting steel C38 using artificial neural network,” International Journal of Industrial and Systems Engineering, vol. 26, no. 4, pp. 567–583, 2017. View at Publisher · View at Google Scholar