Cutting Parameters Optimization for Constant Cutting Force in Milling

Abstract

Due to cutting parameters playing an important role in machining economics and machining qualities, much attention has been paid to select optimum cutting parameters. In this paper, cutting parameters optimization for constant cutting force was discussed based-on virtual machining comprehensively. Particle swarm optimization (PSO) was used to seek for the optimal spindle speed and feed rate. The framework of virtual machining based cutting parameters optimization was established. Then two controlled experiments were conducted to demonstrate the effectiveness of cutting parameters optimization both with physical cutting and computer simulation. The results of experiments show that machining process with constant cutting force can be achieved via cutting parameters optimization based on virtual machining.

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“…Take each piece of tool teeth as a cutting segment and analyze its mechanical properties. The momentary cutting resultant force of the tool can be obtained through summing the forces acting on the cutting segment at that moment [2][3][4].…”

Enhancing Spectrum Utilization using GA in WCDMA

“…PSO method was present by Eberhart and Kennedy(1995) to figureout nonstop optimization difficulty [18].The swarm is combined of measureless material with stochastic speed, all of which shows a executable mixture. The algo search the best result through moving the material in the result space.…”