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Selection of Optimal Cutting Parameters in Parallel Turnings Using Genetic Heuristics

  • Lifang Pan
  • Shutong XieEmail author
  • Kunhong Liu
  • Jiangfu Liao
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9771)

Abstract

Optimal cutting parameters can lead to considerable savings in manufacturing fields. In this paper, to deal with the optimization problem of cutting parameters which aims to minimize the unit production cost (UC) in parallel turnings, we propose a novel optimization approach which divides this complicated problem into several sub-problems. Then a genetic algorithm (GA) is developed to search the optimal results for each sub-problem. Simulations show that the corresponding approach can find better results than previous approach to significantly reduce the production cost.

Keywords

Parallel turning Cutting parameters Optimization Genetic algorithm 

Notes

Acknowledgments

This work was supported by the Natural Science Foundation of Fujian Province of China (No. 2016J01735, JK2015025), and the Foundation for Young Professors of Jimei University, China (No. 2011C002).

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Lifang Pan
    • 1
  • Shutong Xie
    • 2
    Email author
  • Kunhong Liu
    • 3
  • Jiangfu Liao
    • 2
  1. 1.School of ScienceJimei UniversityXiamenChina
  2. 2.School of Computer EngineeringJimei UniversityXiamenChina
  3. 3.School of SoftwareXiamen UniversityXiamenChina

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