共查询到18条相似文献,搜索用时 203 毫秒
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高阳 《现代制造技术与装备》2011,(2):22-23,38
针对机械零件的特点,分析了机械零件不同特征的加工方法,实现了零件特征要素加工方法,研究了零件一次装夹的优化、决策和工步排序,最终得到了机械零件在加工中心上的最优工艺路线。 相似文献
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基于遗传算法的零件工步优化研究 总被引:1,自引:0,他引:1
对于复杂零件的加工,其工步顺序直接影响加工质量和生产效率.研究了工步排序原则和典型的工艺路线,以辅助加工时间最短为优化目标,建立了加工中心中零件加工工步排序数需模型.采用遗传算法对工步顺序进行优化,并在隔代映射遗传算法基础上引入自适应策略,使IP_GA中的交叉、变异概率根据适应度大小自动调节,提高了收敛速度及解的质量.实际应用表明,该方法可有效提高工艺规划系统中工步的优化排序能力. 相似文献
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在加工中心加工复杂零件时,工步多,其顺序直接影响加工质量和生产效率。在分析工步排序原则和典型工艺路线的基础上,建立了一个加工中心工步排序优化模型;将遗传算法应用到工步排序优化中,对算法的应用机理进行了详细讨论,提出了一种启发式基因重组方法;并示例验证了工步排序优化方法。 相似文献
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针对加工过程中的多次工件转位和刀具更换对加工质量和生产效率的重要影响,在分析工步排序和合理确定辅助时间的基础上,建立了以最短辅助时间为目标函数的工步排序优化模型,利用自适应遗传算法完成工艺规划的全局优化决策,获得了最佳工步排序和最短辅助时间.优化过程中,为了使工步序列满足工艺约束规则,首先根据工艺约束规则确定工步优先关系矩阵,然后利用优先关系矩阵对工步序列进行校验和调整.通过工步优化,有效地降低了发动机机匣铣-车复合加工过程中的辅助时间,达到了提高生产效率和加工质量的目的. 相似文献
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加工中心在加工复杂零件时,工序复杂,工步多,其顺序直接影响加工质量和工作效率.针对数控加工中心零件加工工步的排序问题,提出了特征排序.以辅助加工时间最短为优化目标,采用数学中的最优化原理,利用惩罚函数建立相关数学模型,并基于遗传算法来解决工艺加工过程的排序问题.将为具体的工程实践起到指导作用. 相似文献
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箱体零件数控加工路线研究 总被引:1,自引:0,他引:1
针对箱体类零件的特点,探讨了箱体零件加工工艺路线的确定原则和程序;阐述了箱体类零件的特征型面描述方法;建立了不同特征的加工方法匹配规则库,实现了零件特征要素加工方法的决策;同时研究了零件一次装夹的优化问题,建立了数学模型.实现箱体零件特征要素加工方法的决策和工步排序,最终得到了箱体零件在加工中心上的最优工艺路线.对传统工艺过程进行优化具有非常重要的工程实用价值. 相似文献
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Guang-ru Hua Xiong-hui Zhou Xue-yu Ruan 《The International Journal of Advanced Manufacturing Technology》2007,33(5-6):594-603
To obtain global and near-global optimal process plans based on the combinations of different machining schemes selected from
each feature, a genetic algorithm-based synthesis approach for machining scheme selection and operation sequencing optimization
is proposed. The memberships derived from the fuzzy logic neural network (FL-NN), which contains the membership function of
each machining operation to batch size, are presented to determine the priorities of alternative machining operations for
each feature. After all alternative machining schemes for each feature are generated, their memberships are obtained by calculation.
The proposed approach contains the outer iteration and nested genetic algorithm (GA). In an outer iteration, one machining
scheme for each feature is selected by using the roulette wheel approach or highest membership approach in terms of its membership
first, and then the corresponding operation precedence constraints are generated automatically. These constraints, which can
be modified freely in different outer iterations, are then used in a constraints adjustment algorithm to ensure the feasibility
of process plan candidates generated in GA. After that, GA obtains an optimal process plan candidate. At last, the global
and near-global optimal process plans are obtained by comparing the optimal process plan candidates in the whole outer iteration.
The proposed approach is experimentally validated through a case study. 相似文献
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针对加工中心上一次装夹下复杂的工步排序问题,通过实例介绍一种基于多色集合理论和遗传算法的工步排序优化算法。首先,在分析工步排序原则和典型工艺路线的基础上,根据多色集合理论建立加工中心上工步排序问题的约束模型。然后,以辅助时间最短为优化目标,建立其数学优化模型。最后,将遗传算法应用到工步排序中从而得出最优解。实例证明,在多色集合约束模型约束下的遗传算法能够很好地求解加工中心上的工步排序问题,排序结果接近最优且可以大幅提高加工中心的效率。 相似文献
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N. Baskar P. Asokan G. Prabhaharan R. Saravanan 《The International Journal of Advanced Manufacturing Technology》2005,25(11-12):1078-1088
In this paper, optimization procedures based on the genetic algorithm, tabu search, ant colony algorithm and particle swarm optimization Algorithm were developed for the optimization of machining parameters for milling operation. This paper describes development and utilization of an optimization system, which determines optimum machining parameters for milling operations. An objective function based on maximum profit in milling operation has been used. An example has been presented at the end of the paper to give a clear picture from the application of the system and its efficiency. The results are compared and analysed using the method of feasible directions and handbook recommendations. 相似文献
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针对箱体类零件结构的复杂性 ,提出了基于特征工艺重用的工艺变型设计方法 ,由基于实例的方案重用技术生成零件特征的加工链 ,将基因遗传 /禁忌混合算法应用于加工工序的排序 ,从而获得了零件合理、优化的工艺方案 相似文献
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P. J. Pawar R. Venkata Rao 《The International Journal of Advanced Manufacturing Technology》2013,67(5-8):995-1006
The optimum selection of process parameters plays a significant role to ensure quality of product, to reduce the machining cost and to increase the productivity of any machining process. This paper presents the optimization aspects of process parameters of three machining processes including an advanced machining process known as abrasive water jet machining process and two important conventional machining processes namely grinding and milling. A recently developed advanced optimization algorithm, teaching–learning-based optimization (TLBO), is presented to find the optimal combination of process parameters of the considered machining processes. The results obtained by using TLBO algorithm are compared with those obtained by using other advanced optimization techniques such as genetic algorithm, simulated annealing, particle swarm optimization, harmony search, and artificial bee colony algorithm. The results show better performance of the TLBO algorithm. 相似文献