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Modelling and Simulation in Engineering
Volume 2013 (2013), Article ID 932094, 12 pages
http://dx.doi.org/10.1155/2013/932094
Research Article

Prediction of Surface Roughness When End Milling Ti6Al4V Alloy Using Adaptive Neurofuzzy Inference System

Department of Mechanical and Material Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia

Received 30 May 2013; Revised 17 August 2013; Accepted 17 August 2013

Academic Editor: ShengKai Yu

Copyright © 2013 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.

How to Cite this Article

Salah Al-Zubaidi, Jaharah A. Ghani, and Che Hassan Che Haron, “Prediction of Surface Roughness When End Milling Ti6Al4V Alloy Using Adaptive Neurofuzzy Inference System,” Modelling and Simulation in Engineering, vol. 2013, Article ID 932094, 12 pages, 2013. doi:10.1155/2013/932094