Optimal Selection of Cutting Parameters in Blade NC Machining Based on BP Neural Network and Genetic Algorithm

Yan Cao; Xue Jiao Dong; Jiang Du

doi:10.4028/www.scientific.net/AMM.496-500.1539

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 496-500Optimal Selection of Cutting Parameters in Blade...

Optimal Selection of Cutting Parameters in Blade NC Machining Based on BP Neural Network and Genetic Algorithm

Abstract:

Blades are important components of aircraft engines. Free-form surface blade machining generally adopts sub-regional processing and cutting parameters vary greatly. Rational optimization of the cutting parameters can improve blade processing quality and efficiency in aerospace industry. To control the processing deformation of the blades, a method using artificial neural network and genetic algorithm is presented to optimize the cutting parameters. The method can reduce cutting parameter selection time and improve blade processing quality.

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Periodical:

Applied Mechanics and Materials (Volumes 496-500)

Pages:

1539-1542

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.496-500.1539

Citation:

Cite this paper

Online since:

January 2014

Authors:

Yan Cao*, Xue Jiao Dong, Jiang Du

Keywords:

ABAQUS, Artificial Neural Network (ANN), Blade, Cutting Parameter, Genetic Algorithm (GA), Simulation

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* - Corresponding Author

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