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Optimal design of fixture layout in a multi-station assembly using highly optimized tolerance inspired heuristic

机译:使用高度优化的公差启发式启发法在多工位组件中优化夹具布局设计

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The multi-station assembly (MSA) process requires auxiliary devices such as fixtures and clamps to accurately locate and firmly hold the workpiece in a desired position. Improper positioning of these fixtures and clamps affects the dimensional integrity of final product. This study determines the optimal design of fixture layout that minimizes the product dimensional variations caused by the manhandling and aging of auxiliaries. In order to model variation propagation from one assembly station to another in the MSA, a state space model is employed. Further, an E-optimality based sensitivity criterion is proposed to mathematically formulate and measure the quality of the fixture layout design. In order to solve the mathematical formulation, a highly optimized tolerance inspired heuristic is proposed. The proposed approach takes its governing traits from local incremental algorithm (LIA) which was initially exploited to maximize the design parameter (yield) in the percolation model. LIA analogous to the evolution by natural selection schema, assists in suitably exploring the search space of the underlying problem. The assembly of Sports Utility Vehicle side frame has been used to illustrate the concepts and test the performance the proposed solution methodology. Further, robustness of the proposed heuristic is demonstrated by comparing its results with that of obtained from Basic Exchange Algorithm used in the literature.
机译:多工位装配(MSA)过程需要辅助设备(例如固定装置和夹具)以将工件准确定位并牢固地固定在所需位置。这些固定装置和夹具放置不当会影响最终产品的尺寸完整性。这项研究确定了灯具布局的最佳设计,该设计可最大程度地减少因辅料的处理和老化引起的产品尺寸变化。为了模拟在MSA中从一个装配工位到另一个装配工位的变化传播,采用状态空间模型。此外,提出了一种基于E-最优性的灵敏度标准,以数学方式制定和测量夹具布局设计的质量。为了解决数学公式,提出了高度优化的公差启发式启发式算法。所提出的方法取材自局部增量算法(LIA)的控制特征,该算法最初用于最大化渗滤模型中的设计参数(产量)。 LIA类似于自然选择方案的演变,有助于适当地探索潜在问题的搜索空间。运动型多功能车侧架的组装已用于说明概念和测试所提出解决方案方法的性能。此外,通过将其与从文献中使用的基本交换算法获得的结果进行比较,证明了所提出的启发式方法的鲁棒性。

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