Multi-Objective Optimization Strategy for Cutting Parameters Based on Controlling Face Milling Distortion

Dong Hong Tang

doi:10.4028/www.scientific.net/AMM.159.165

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 159Multi-Objective Optimization Strategy for Cutting...

Multi-Objective Optimization Strategy for Cutting Parameters Based on Controlling Face Milling Distortion

Abstract:

Machining distortion analysis and control are the kernel problem in manufacturing industry recently. This paper take face milling as research object, a finite element model for 3D milling process is set up based on some key techniques including cutter feed trajectories representations, cutter tooth-workpiece engagement model etc; Then the optimum LS-SVM model which can express the transitive relationship between cutting parameters and distortion error is set up; The cutting parameters optimization model based on controlling the machining distortion is founded by seeing the optimum LS-SVM model as the main objective function, meanwhile, an effective multi-objective optimization algorithm is proposed by coupling particle swarm algorithm and gray relevancy analysis, this algorithm can change the multi-objective optimization problem into optimizing the gray relevancy value effectively. As an example, the feasibility of proposed machining distortion controlling approach is verified.

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Periodical:

Applied Mechanics and Materials (Volume 159)

Pages:

165-169

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.159.165

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Online since:

March 2012

Authors:

Dong Hong Tang

Keywords:

Cutting Parameter, Face Milling, Machining Distortion, Multi-Objective Optimization (MOP)

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References

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