Research and Application of Milling Parameters Optimization Based on Genetic Algorithm

Min Min Hu; Yu Zhang; Sheng Wan Yuan

doi:10.4028/www.scientific.net/AMR.1095.820

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Quality Cost Analysis of Typical Forging Based on SPC and DEA Model
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Radius Compensation in Lateral Bending of L-Shape Plate Considering Rollers Deflection
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Research and Development of Precision MIG/MAG Welding
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Research of Fused Deposition Modeling Process Oriented Component Design
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Research on Dynamic Recrystallization Behavior of Extra-Heavy Backup Roll Forming Process
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Research on Stable Forming of Titanium Alloy Bar Using Three-Roll Skew Rolling
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1095Research and Application of Milling Parameters...

Research and Application of Milling Parameters Optimization Based on Genetic Algorithm

Abstract:

At present a number of machinery factories select cutting parameters mainly rely on the experience in China. In order to get the reasonable cutting parameters and then have a optimal machining surface quality, high production efficiency and low production cost. In this paper, using genetic algorithm and Matlab software [1] to optimize cutting parameters of milling and combining with the actual cutting test in factory to verify the optimized data. And then provide theory basis and feasible measure for milling.