Genetic Algorithm-Based Optimization of the Thin-Walled Tube of High Strength Aluminum Alloy in Diamond Turning Process

Abstract:

Optimization of the cutting parameters is one of the most important contents in diamond turning process of the thin-walled tube of high strength aluminum alloy. Cutting conditions have an influence on reducing the production time and deciding the quality of the final workpiece. This paper proposes an optimization technique based on genetic algorithms (GA) for the determination of the cutting parameters. As the experimental results show, it is very efficient that the proposed genetic algorithm-based procedure for solving this problem.

• Periodical: Solid State Phenomena (Volume 175)
• Pages: 347-351
• DOI: https://doi.org/10.4028/www.scientific.net/SSP.175.347
• Online since: June 2011
• Authors: Bao Xing Zhang, Bin Lin, Zhi Lin Han, Lei Zhang
• Keywords: Cutting Parameter, Genetic Algorithm (GA), Thin-Walled Tube

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