Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21
Online ISSN : 2424-3086
ISSN-L : 2424-3086
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Investigation of the Constraints for Optimization of Turning Process by GA with Self-Organizing Adaptive Penalty Strategy(Digital design and digital manufacturing (continued))
Nafis AHMADTomohisa TANAKAYoshio SAITO
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p. 319-324

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As turning parameter optimization is highly constrained and nonlinear, it is necessary to investigate the suitable penalty strategy in such case. In this work, parameters for single pass turning operation are optimized. Here unit production cost is the objective function and limits of the cutting force, power, surface finish, stability condition, tool-chip interface temperature and available rotational speed in the machine tool are the constraints. The optimum cutting parameters and constraints values obtained by two different approaches: GA with SOAP and GA without SOAP are investigated. The result shows that GA with SOAP performs better than the GA without SOAP. The feasible ratios of the solutions based on different constraints at different generation are also discussed in this paper.
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© 2005 一般社団法人 日本機械学会
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