The Optimization of Cutting Parameters of Cast Iron Based on the Genetic Algorithm

Hao Jin Yang; Xu Hong Guo; Dong Dong Wan; Ting Ting Chen

doi:10.4028/www.scientific.net/AMR.424-425.1102

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 424-425The Optimization of Cutting Parameters of Cast...

The Optimization of Cutting Parameters of Cast Iron Based on the Genetic Algorithm

Abstract:

Data timeliness of cutting process data is so intenser under the new situation than ever .It’s especially necessary to propose the physical model on which the optimization of cutting parameters is based. In this paper the mathematical model is established by the analysis of the data measured from the cast iron experiments, then use MATLAB genetic algorithm analysis to calculate the optimum combination of cutting parameters. The results show that the optimum combination of cutting parameters could improve the production efficiency in practice.

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Periodical:

Advanced Materials Research (Volumes 424-425)

Pages:

1102-1106

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.424-425.1102

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Online since:

January 2012

Authors:

Hao Jin Yang, Xu Hong Guo, Dong Dong Wan, Ting Ting Chen

Keywords:

Cast Iron, Cutting, Genetic Algorithm (GA), Parameter Optimization

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