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Mathematical Problems in Engineering
Volume 2015, Article ID 702186, 9 pages
Research Article

Surface Roughness Models and Their Experimental Validation in Micro Milling of 6061-T6 Al Alloy by Response Surface Methodology

Key Laboratory of Fundamental Science for Advanced Machining, Beijing Institute of Technology, Beijing 100081, China

Received 25 May 2015; Accepted 28 July 2015

Academic Editor: John D. Clayton

Copyright © 2015 Jie Yi 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 [4 citations]

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

  • Iordan, and Burlacu, “Mathematical modelling to predict the roughness average in micro milling process,” IOP Conference Series: Materials Science and Engineering, vol. 145, no. 7, 2016. View at Publisher · View at Google Scholar
  • Abhineet Saini, Parveen Chauhan, Bs Pabla, and Ss Dhami, “Multi-process parameter optimization in face milling of Ti6Al4V alloy using response surface methodology,” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, pp. 095440541667368, 2016. View at Publisher · View at Google Scholar
  • Bo Wang, Da Qu, and Zhang Peng, “The influence of processing parameters on surface characteristics in micro-milling thin-walled slot on Elgiloy,” International Journal of Advanced Manufacturing Technology, vol. 92, no. 5-8, pp. 2843–2852, 2017. View at Publisher · View at Google Scholar
  • Michael Miranda, David Serje, Jovanny Pacheco, and Jorge Bris, “Tool edge radius wear and material removal rate performance charts for titanium micro-milling,” International Journal of Precision Engineering and Manufacturing, vol. 19, no. 1, pp. 79–84, 2018. View at Publisher · View at Google Scholar