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A new algorithm for optimum tolerance allocation of complex assemblies with alternative processes selection

机译:一种具有替代工艺选择的复杂装配体最优公差分配的新算法

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摘要

Allocating tolerance to sub-components of a complex assembly with alternative processes selection by using Lagrange's multiplier method is tedious as well as difficult. The present work is aims to solve the problem with simple effort in three stages. In the first stage, the maximum of two processes are selected from the alternative processes of each component and these two processes correspond to the smaller sum of difference in manufacturing cost. A hybrid optimum tolerance allocation method is developed in a second and third stage by combining Tabu search (TS) and heuristic approach. Application of the proposed algorithm is demonstrated on complex tolerancing products like knuckle joint and wheel mounting assembly. For the same manufacturing conditions, compared with tolerance synthesis by Singh method, the proposed method saved nearly USD74,880 and USD479,520, respectively, per year in manufacturing costs of knuckle joint and wheel mounting assembly.
机译:通过使用拉格朗日乘数法来选择替代工艺来分配复杂装配的子部件的公差既繁琐又困难。本工作旨在通过三个阶段的简单努力来解决该问题。在第一阶段,从每个组件的替代过程中选择最多两个过程,这两个过程对应于制造成本差异较小的总和。通过结合禁忌搜索(TS)和启发式方法,在第二和第三阶段开发了一种混合的最佳公差分配方法。该算法在转向节和车轮安装组件等复杂公差产品上的应用得到了证明。在相同的制造条件下,与辛格方法的公差综合相比,该方法每年可节省的节节和车轮安装总成成本分别为将近74,880美元和479,520美元。

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