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Fixture optimization for sheet panel assembly considering welding gun variations

机译:考虑焊枪变化的板材面板装配夹具优化

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摘要

Sheet panel assembly in automotive body manufacturing typically involves fixturing (including locating and clamping), joining (especially welding), and unclamping. Research has shown that the choices of fixturing schemes are important and that fixture optimization can generally improve the assembly dimensional quality with reduced assembly distortions. However, these research studies generally modelled weld guns as constant disturbances (such as deterministic forces) without considering the weld gun variations to avoid the complexity of Monte Carlo simulations. In the current paper, a fixture optimization model is formulated to minimize the assembly dimensional variations under welding gun variations. It is shown that, by using the proposed weld gun variations model, an assembly variation simulation can be converted to a deterministic assembly model, eliminating the need for Monte Carlo simulation. The efficiency improvement makes it feasible for a full scale optimization solution for optimal fixture locations with welding variations. The current paper further introduces the fixture-element models for continuous variable optimization in finite-element analysis, an enabler for fixture optimization. Numerical examples are shown to demonstrate the proposed methods. [PUBLICATION ABSTRACT]
机译:汽车车身制造中的面板组装通常涉及固定(包括定位和夹紧),连接(尤其是焊接)和松开。研究表明,夹具方案的选择很重要,夹具优化通常可以提高装配尺寸质量,同时减少装配变形。但是,这些研究通常将焊枪建模为恒定扰动(例如确定性力),而不考虑焊枪的变化以避免蒙特卡洛模拟的复杂性。在当前的论文中,制定了夹具优化模型以最小化焊枪变化下的装配尺寸变化。结果表明,通过使用所提出的焊枪变化模型,装配变化仿真可以转换为确定性装配模型,而无需进行蒙特卡洛仿真。效率的提高使得针对具有焊接变化的最佳夹具位置的全面优化解决方案变得可行。本文进一步介绍了用于有限元分析的连续变量优化的夹具元素模型,这是夹具优化的一个推动力。数值例子表明了所提出的方法。 [出版物摘要]

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