Parameters Optimization and Experimental Analysis in High Speed Machining

Abstract:

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First of all, in the cutting parameters optimization, according to the different processing conditions, optimization variables selection is different, including production efficiency the objective function and the constraint conditions of the machine tool. And then using genetic algorithm to build a high-speed processing parameters optimization model. The mathematical model explores the best solution through the software Matlab, and gets the optimal combination between the parameters of each cutting; high speed machining cutting parameters provides the reference for the choice of the user. Through the optimization of the comparison of the before and after that, using genetic algorithm cutting parameters optimization, mach inability got obvious improvement, in order to ensure the quality of processing also achieve the maximization of the production efficiency.

Info:

Periodical:

Advanced Materials Research (Volumes 591-593)

Edited by:

Liangchi Zhang, Chunliang Zhang, Jeng-Haur Horng and Zichen Chen

Pages:

480-483

Citation:

H. Lin et al., "Parameters Optimization and Experimental Analysis in High Speed Machining", Advanced Materials Research, Vols. 591-593, pp. 480-483, 2012

Online since:

November 2012

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Price:

$38.00

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