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首页> 外文期刊>International Journal of Production Research >Optimization of multi-pass turning operations using genetic algorithms for the selection of cutting conditions and cutting tools with tool-wear effect
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Optimization of multi-pass turning operations using genetic algorithms for the selection of cutting conditions and cutting tools with tool-wear effect

机译：使用遗传算法优化多道次车削操作，以选择切削条件和具有刀具磨损效果的切削刀具

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摘要

A new genetic algorithms-based method is applied for the optimization of cutting conditions and the selection of cutting tools in multi-pass turning operations. A new methodology for the allocation of total depth of cut in multi-pass turning operations is also developed. A comprehensive optimization criterion for multipass turning operations is developed and used as the objective function integrating the contributing effects of all major machining performance measures in all passes. The effect of progressive tool wear in optimization processes for multi-pass turning operations is included. Presented case studies demonstrate the application of the new methodology for optimal allocation of total depth of cut as well as optimization of cutting conditions and the selection of cutting tool inserts, and offer a comparison between optimization processes with and without the effect of tool wear in all passes.
机译：一种新的基于遗传算法的方法被应用于多道车削加工中切削条件的优化和刀具的选择。还开发了一种用于在多道次车削操作中分配总切削深度的新方法。制定了用于多道次车削操作的综合优化标准，并将其用作综合所有主要加工性能指标在所有道次中的作用的目标函数。包括渐进式刀具磨损在多道车削操作的优化过程中的影响。案例研究表明了该新方法在优化总切削深度以及优化切削条件和选择切削刀具刀片方面的应用，并提供了在有无刀具磨损影响的情况下进行优化过程的比较。通过。

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