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dc.contributor.author谢书童
dc.contributor.author郭隐彪
dc.date.accessioned2016-05-17T02:43:52Z
dc.date.available2016-05-17T02:43:52Z
dc.date.issued2011
dc.identifier.citation计算机集成制造系统,2011,(10):54-59
dc.identifier.issn1006-5911
dc.identifier.otherJSJJ201110007
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/105425
dc.description.abstract为选择合理的数控加工切削参数,以最小化加工成本,提出了基于边缘分布估计算法和车削次数枚举方法相结合的新型优化算法。在大量的加工约束条件下,同时优化粗、精两个车削加工阶段的切削参数,进而引入车削成本的理论下限,利用该理论下限不仅可以提高算法的搜索效率,还能评价优化结果。计算机模拟表明,该算法能够找到更优的车削参数组合,从而进一步节约加工成本,且具有更高的运算效率。
dc.description.abstractTo select reasonable cutting parameters of Computer Numerical Control(CNC) machining so as to minimize production cost,a novel optimization approach combined Univariate Marginal Distribution Algorithm(UMDA) with Pass Enumerating method(PE) was proposed.Under lots of machining constraints,the cutting parameters of both rough machining and finish machining were optimized simultaneously.Furthermore,the theoretical lower bounds on Unit production Cost(UC) were introduced,which could be used not only to improve the efficiency of the proposed approach,but also evaluate the optimization results.Computer simulation showed that the proposed UMDA-PE approach could achieve more optimal solution than other approaches proposed previously to reduce UC,and improve the computational efficiency as well.
dc.description.sponsorship国家863计划资助项目(2008AA042501);国家自然科学基金资助项目(50905150);福建省自然科学基金资助项目(2010J05137;2011J01323);福建省教育厅资助项目(JA11156)----
dc.language.isozh_CN
dc.subject加工参数优化
dc.subject数控车削
dc.subject分布估计算法
dc.subject道次枚举
dc.subject加工成本
dc.subjectmachining parameter optimization
dc.subjectcomputer numerical control turning
dc.subjectestimation of distribution algorithms
dc.subjectpass enumerating
dc.subjectprocessing cost
dc.title数控车削中成本最低的切削参数优化方法
dc.title.alternativeOptimization approach of cutting parameters for minimizing production cost in CNC turnings
dc.typeArticle


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