Research and Application of Milling Parameters Optimization Based on Genetic Algorithm

At present a number of machinery factories select cutting parameters mainly rely on the experience in China. In order to get the reasonable cutting parameters and then have a optimal machining surface quality, high production efficiency and low production cost. In this paper, using genetic algorithm...

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Bibliographic Details
Published in:Advanced Materials Research Vol. 1095; pp. 820 - 823
Main Authors: Yuan, Sheng Wan, Zhang, Yu, Hu, Min Min
Format: Journal Article
Language:English
Published: Zurich Trans Tech Publications Ltd 20.03.2015
Subjects:
Computer programs
Cutting parameters
Factories
Genetic algorithms
Industrial plants
Matlab
Milling (machining)
Optimization
Cutting Parameters
Genetic Algorithm (GA)
Optimization
Milling
ISBN:3038354317, 9783038354314
ISSN:1022-6680, 1662-8985, 1662-8985
Online Access:Get full text
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Summary:At present a number of machinery factories select cutting parameters mainly rely on the experience in China. In order to get the reasonable cutting parameters and then have a optimal machining surface quality, high production efficiency and low production cost. In this paper, using genetic algorithm and Matlab software [1] to optimize cutting parameters of milling and combining with the actual cutting test in factory to verify the optimized data. And then provide theory basis and feasible measure for milling.
Bibliography:Selected, peer reviewed papers from the 2014 5th International Conference on Advances in Materials and Manufacturing (ICAMMP 2014), December 20-21, 2014, Fuzhou, China
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SourceType-Scholarly Journals-1
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ISBN:3038354317
9783038354314
ISSN:1022-6680
1662-8985
1662-8985
DOI:10.4028/www.scientific.net/AMR.1095.820