“MULTI OBJECTIVE OPTIMIZATION OF END MILLING PROCESS PARAMETER USING AI TECHNIQUES:A REVIEW”

Authors

  • JIGNESH G PARMAR Mechanical Engineering Department, LDCE
  • Dr. KOMAL. G. DAVE Mechanical Engineering Department,(GTU)

Keywords:

End milling. Multi Objective Optimization . AI Techniques.

Abstract

Multi Objective Optimization of cutting parameters is very important in terms of high precision and efficient
machining.. Due to complexity and uncertainty of the End milling processes, AI techniques are being preferred to
optimization the performance of the machining processes. AI Techniques applied for this purpose like neural networks, fuzzy
sets, genetic algorithms, simulated annealing, ant colony optimization, and particle swarm optimization. In this paper
reviews the application of AI to End milling processes.

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Published

2017-11-25

How to Cite

JIGNESH G PARMAR, & Dr. KOMAL. G. DAVE. (2017). “MULTI OBJECTIVE OPTIMIZATION OF END MILLING PROCESS PARAMETER USING AI TECHNIQUES:A REVIEW”. International Journal of Advance Engineering and Research Development (IJAERD), 4(11), 419–423. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/4086

Issue

Vol. 4 No. 11 (2017): Volume 4 Issue 11 NOVEMBER 2017

Section

Articles