An Optimization Method of the Heavy Machine Cutting Parameters

Chao Deng; Chao Ma; Yao Xiong; Yuan Hang Wang

doi:10.4028/www.scientific.net/AMR.544.38

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 544An Optimization Method of the Heavy Machine...

An Optimization Method of the Heavy Machine Cutting Parameters

Abstract:

This paper analyzes the machining process of CNC machine tools, and builds an optimization model of the machining process parameters based on the mechanical vibration and the operational research. The model mixed genetic algorithm and particle swarm optimization (PSO) is built. It proposes an optimization algorithm that has higher convergence precision and execute ability to solve engineering problem with nonlinear and multi-extremum. According to case study, it proves the correctness of the model and the efficiency and high-performance nature of the designed optimization algorithm. It also appears the efficiency to solve the common engineering problems by the intelligent optimization algorithms.

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Periodical:

Advanced Materials Research (Volume 544)

Pages:

38-43

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.544.38

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Online since:

June 2012

Authors:

Chao Deng, Chao Ma, Yao Xiong, Yuan Hang Wang

Keywords:

Cutting Parameter, Genetic Algorithm (GA), Optimization, Particle Swarm Optimization Algorithm (PSO)

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