The Optimization of Lathe Cutting Parameters Using a Hybrid Taguchi-Genetic Algorithm

The Optimization of Lathe Cutting Parameters Using a Hybrid Taguchi-Genetic Algorithm

In this paper, the multi-objective Hybrid Taguchi-Genetic Algorithm is used to search for the best processing parameters with specified processing accuracy. The experimental cutting parameters used for the L9 orthogonal table process are cutting depth, cutting velocity and feed rate. The surface rou...

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Bibliographic Details
Main Authors: Wen-Lin Chu, Min-Jia Xie, Li-Wei Wu, Yu-Syong Guo, Her-Terng Yau
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Regression analysis
genetic algorithm
multi-objective optimization
Online Access:https://ieeexplore.ieee.org/document/9187872/

Internet

https://ieeexplore.ieee.org/document/9187872/

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