NC cutting parameters multi-objective optimization based on hybrid particle swarm algorithm

doi:10.16731/j.cnki.1671-3133.2017.03.013

Abstract

Abstract: To choose the reasonable NC cutting parameter,the mathematical models for cost and machine efficiency of cutting parameters in cutting state were established.Aiming at the nonlinearity and multi-constraints of NC cutting parameters optimization problem,the constraint violation of method was used to process constraints.In order to avoid algorithm into local optimum,algorithm introduced Metropolis twice sampling criteria twice.An optimization method based on Hybrid Multi-Objective Particle Swarm Optimization (HMOPSO) algorithm was employed.Finally,validation calculation was successfully implemented through a cutting parameter optimization example.

Key words: numerical control machining, cutting parameters, constrained optimization, Multi-Objective Particle Swarm Optimization(MOPSO), SA, Pareto optimization

CLC Number:

TG659
TP391

Wang Chen, Yang Yang, Yuan Haibing, Wang Shenghuai. NC cutting parameters multi-objective optimization based on hybrid particle swarm algorithm[J]. Modern Manufacturing Engineering, 2017, 438(3): 77-82.

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NC cutting parameters multi-objective optimization based on hybrid particle swarm algorithm

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