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Optimization of End Milling Parameters by Application Using MOGA Technique

Rohit Kumar Sharma, Anil Kumar Sharma

Abstract


Milling is material removal production technique to generate high-quality product for different types or grades of metals and metal matric composites. In the present era, milling is controlled by artificial intelligent devices and the quality of products is much better than the previous decade’s manufacturing technique-generated products. The results are promising for this research work; it is found that the best rank in the case of cutting time is feed rate; for MRR, the first rank is feed rate; and for RA, the first rank is cutting speed of spindle. Multi-objective optimization is performed for these three response variables are performed in this research work using CD optimization and MOGA to find the differences among these techniques. The test is not performed to show which is better or not. This test is only an indicative analysis to show the two different optimization techniques.

Keywords: CD optimization, CNC milling, cutting time, MOGA optimization, MRR, surface roughness

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References


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