“MULTI OBJECTIVE OPTIMIZATION OF END MILLING PROCESS PARAMETER USING AI TECHNIQUES:A REVIEW”
| Author(s) | : | JIGNESH G PARMAR, Dr. KOMAL. G. DAVE |
| Institution | : | Mechanical Engineering Department, LDCE |
| Published In | : | Vol. 4, Issue 11 — November 2017 |
| Page No. | : | 419-423 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Multi Objective Optimization of cutting parameters is very important in terms of high precision and efficientmachining.. Due to complexity and uncertainty of the End milling processes, AI techniques are being preferred tooptimization the performance of the machining processes. AI Techniques applied for this purpose like neural networks, fuzzysets, genetic algorithms, simulated annealing, ant colony optimization, and particle swarm optimization. In this paperreviews the application of AI to End milling processes.
JIGNESH G PARMAR, Dr. KOMAL. G. DAVE, ““MULTI OBJECTIVE OPTIMIZATION OF END MILLING PROCESS PARAMETER USING AI TECHNIQUES:A REVIEW””, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 11, pp. 419-423, November 2017.
