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Multi-objective optimization design of a fixture layout considering locator displacement and force-deformation

机译:考虑定位器位移和力变形的夹具布局多目标优化设计

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摘要

The fixture determines the workpiece position in a machining process; therefore, an increasing amount of attention has been given to fixture layout design. While machining, the workpiece position is affected by two major sources: (a) the locator displacement and (b) the force-deformation of the workpiece-fixture system. In the beginning of this paper, a geometric model considering the shape of a locator is developed to analyze the location performance, followed by the presentation of a simplified solving method and a location layout performance index. Second, to complete the force-deformation analysis, a finite element method-based force-deformation model is built and accelerated by a new method with a lower computer memory cost. Based on these two models, multiple objects of fixture layout optimization problems are proposed, and a multi-objective genetic algorithm-based optimization method is constructed. Finally, testing examples are approved to examine the validity of the method represented in this paper. These methods can provide a more accurate prediction of the locating performance in more widely used cases, and they have faster calculating speeds with lower computer memory costs.
机译:夹具确定加工过程中的工件位置;因此,越来越多的注意力集中在夹具布局设计上。加工时,工件位置受两个主要因素影响:(a)定位器位移和(b)工件夹具系统的力变形。在本文的开头,开发了一种考虑定位器形状的几何模型来分析位置性能,然后介绍了一种简化的求解方法和位置布局性能指标。其次,为完成力-变形分析,建立了一种基于有限元方法的力-变形模型,并通过一种新的方法对其进行了加速,该方法具有较低的计算机内存成本。基于这两个模型,提出了夹具布局优化问题的多个目标,并构造了一种基于多目标遗传算法的优化方法。最后,通过测试实例验证了本文所提出方法的有效性。这些方法可以在更广泛使用的情况下提供对定位性能的更准确的预测,并且它们具有更快的计算速度和较低的计算机内存成本。

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