期刊文献+

基于遗传算法的加工工艺规划研究 被引量:1

RESEARCH OF PROCESS PLANNING BASED ON GENETIC ALGORITHM
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摘要 为了得到工艺方案的全局最优解,采用遗传算法建立了一个统一的工艺方案优化模型,将加工序列和每道工序的装夹选择、刀具选择等作为一个有机整体进行优化,通过遗传算法得出了优化的工艺方案.首先给出典型加工特征的加工方案图,再对其进行图操作获取加工特征的可行加工方法,然后根据遗传算法的基本步骤,建立综合考虑时间、精度和成本的多目标工艺方案评价体系,最后用实例验证了该算法的有效性. A uniform optimization model of process planning is brought forward to gain the global optimum in entire solution space for process planning using genetic algorithm. Operation sequencing, jigging tool-selecting, and cutting tool-selecting in each operation are optimized as the whole. The optimal process planning is educed by genetic computation. Firstly, the scheme graphs are created by analyzing machining methods of typical machining surfaces. Using graph algorithm, we can get all the machining methods of any machining surface. Secondly, according to the step, the evaluating system for process planning, considering such criterion as time, precision and cost, is created. Lastly, the prototype system is applied to a practical process planning case.
作者 李梅竹
出处 《陕西科技大学学报(自然科学版)》 2011年第3期71-76,81,共7页 Journal of Shaanxi University of Science & Technology
关键词 工艺方案 遗传算法 process planning graphs genetic algorithm
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参考文献7

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