面向低碳的切削参数与调度集成优化

发布时间：2019-02-23 21:44

【摘要】：为更好地降低制造过程碳排放,克服以往研究将切削参数与调度分开优化而忽略了他们之间复杂关联关系的局限性,提出一个以制造过程碳排放和完工时间最小为优化目标的切削参数与调度集成优化模型,考虑切削参数对加工时间、刀具磨损、机床能耗的影响,继而影响到以完工时间和制造过程碳排放为优化目标的调度结果。针对集成优化模型中切削参数优化是连续优化问题而调度是离散优化问题的特点,改进了多目标万有引力搜索算法,在标准的万有引力搜索算法中加入交叉变异操作,使得切削参数在迭代的同时也能找出最优的调度排序。通过对实例结果的比较与分析,验证了所提集成优化模型在降低制造过程碳排放方面的有效性。
[Abstract]:In order to reduce carbon emission in manufacturing process better, the limitation of traditional research on optimizing cutting parameters and scheduling separately and neglecting the complex relationship between them is overcome. This paper presents an integrated optimization model of cutting parameters and scheduling aiming at the minimum carbon emission and completion time of manufacturing process. The effects of cutting parameters on machining time, tool wear and machine tool energy consumption are considered. Then the scheduling results with completion time and carbon emission from manufacturing process as optimization targets are affected. In view of the fact that cutting parameter optimization is a continuous optimization problem and scheduling is a discrete optimization problem in the integrated optimization model, the multi-objective universal gravity search algorithm is improved, and crossover mutation operation is added to the standard universal gravity search algorithm. The cutting parameters can also find the optimal scheduling order while iterating. The effectiveness of the proposed integrated optimization model in reducing carbon emissions in manufacturing process is verified by comparing and analyzing the results of practical examples.
【作者单位】：华中科技大学数字制造装备与技术国家重点实验室;
【基金】：国家自然科学基金(51675206);国家自然科学基金国际(地区)合作与交流(51561125002) 中央高校基本科研业务费专项资金(2016YXMS275)资助项目
【分类号】：TG506

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