Cutting Force Model Prediction Considering Cutting Edge Parameters Base on Genetic Algorithm

Yu Wang; L.Q. Wang; Y.F. Li; Yuan Sheng Zhai; X.L. Liu

doi:10.4028/www.scientific.net/AMR.188.166

Paper Titles

Research of Cutter Geometric Parameter Effect on Machining Stability Area in High Speed Milling Process
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Study of Exit Burr Formation of CFRP
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Method of Recognizing of Chip Shape Based on Machine Vision Technology
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The Identification of Vibration Characteristics for Hardened Steel Based on Wavelet Energy Spectrum in High-Speed Milling
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Cutting Force Model Prediction Considering Cutting Edge Parameters Base on Genetic Algorithm
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Temperature Variables Selection for Thermal Error Modeling of Heavy-Duty CNC Milling-Boring Machine Tools
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A Viscometer Based on Velocity Attenuation of Rotary Cylinder
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The Study on Three-Dimensional Roughness of Machined Surface in High Speed Milling of SiCp/Al Composites
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Analysis of the Nanoscale Manipulation Using Near-Field Optical Tweezers Combined with AFM Probe
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 188Cutting Force Model Prediction Considering Cutting...

Cutting Force Model Prediction Considering Cutting Edge Parameters Base on Genetic Algorithm

Abstract:

During precise hard cutting, back cutting depth and feed rate are relatively small. Study on the influence of PCBN (Polycrystalline Cubic Boron Nitride) cutting tools edge (chamfer edge or cutting edge radius) on cutting force is important. As the effect of cutting edge on mechanism of shear slip plane is very complicated, so to study the effect of consider cutting edge parameters and cutting parameters by genetic algorithm on cutting force, to build up cutting force model of precise hard cutting. It is feasible to predict cutting force by genetic algorithm with experiment.