OPTIMIZATION OF MILLING MACHINING PROCESS PARAMETERS: A REVIEW
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 0, Vol 5, Issue 1
Abstract
In this competition era, manufacturing and industrial industries are switching to the non conventional machining processes instead to the conventional machining process. Many of the new machining tools available in market like CNC milling, turning etc. each process is affected by some parameter like feed, speed, and depth of cut. Other parameters that is responsible for the affecting the process i.e. MRR, cutting coolant. Possibility of optimize these parameter leads to the great reduction in machining cost. This paper gives the information about the optimization technique used along with different parameter. Some non conventional machining optimization techniques are consist in this paper like fuzzy logic, particle swarm optimization, genetic algorithm, artificial neural network, taguchi, ANOVA, Ant colony optimization, Simulated Annealing (SA) and Scatter search technique (SS)etc. Non conventional machining processes along with respected parameter are being reviewed in this paper. It also include literature of the performance parameter like surface roughness, tool wear rate etc
Authors and Affiliations
Dheerendra Sengar
Keywords
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