The Optimization of Precision Milling Parameters for Titanium Based on Genetic Algorithm

Wen Sheng Zhang; Hong Xiang Wang; Hong Du; Tao Xu

doi:10.4028/www.scientific.net/AMR.472-475.1078

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 472-475The Optimization of Precision Milling Parameters...

The Optimization of Precision Milling Parameters for Titanium Based on Genetic Algorithm

Abstract:

The genetic algorithm converges faster compared with the traditional optimization algorithm, the global optimal solution can be quickly obtained and it is very effective for multi-peak function optimization. A milling process parameter optimization model is established for titanium based on genetic algorithm in this paper, the relevant constraints is considered and the optional titanium milling parameters is achieved based on the targets of maximum production efficiency and minimum cost, utilizing MATLAB optimization software to program, the best combination of cutting parameters is got finally. Experimental results show that the cutting efficiency and production costs are significantly improved with the optimized cutting parameters, so that the defects of low efficiency in CNC machining resulting in relying on experienced cutting parameters is overcome.

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Advanced Manufacturing Technology, ICMSE 2012

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Periodical:

Advanced Materials Research (Volumes 472-475)

Pages:

1078-1081

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.472-475.1078

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Online since:

February 2012

Authors:

Wen Sheng Zhang, Hong Xiang Wang, Hong Du, Tao Xu

Keywords:

Genetic Algorithm (GA), Milling, Parameter Optimization, Titanium

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References

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