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Robust design of spot welds in automotive structures: A decision-making methodology

机译:汽车结构中点焊的稳健设计:一种决策方法

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Automotive structures include thousands of spot welds whose design must allow the assembled vehicle to satisfy a wide variety of performance constraints including static, dynamic and crash criteria. The objective of a standard optimization strategy is to reduce the number of spot welds as much as possible while satisfying all the design objectives. However, a classical optimization of the spot weld distribution using an exhaustive search approach is simply not feasible due to the very high order of the design space and the subsequently prohibitive calculation costs. Moreover, even if this calculation could be done, the result would not necessarily be very informative with respect to the design robustness to manufacturing uncertainties (location of welds and defective welds) and to the degradation of spot welds due to fatigue effects over the lifetime of the vehicle. In this paper, a decision-making methodology is presented which allows some aspects of the robustness issues to be integrated into the spot weld design process. The starting point is a given distribution of spot welds on the structure, which is based on both engineering know-how and preliminary critical numerical results, in particular criteria such as crash behavior. An over-populated spot weld distribution is then built in order to satisfy the remaining design criteria, such as static torsion angle and modal behavior. Then, an efficient optimization procedure based on energy considerations is used to eliminate redundant spot welds while preserving as far as possible the nominal structural behavior. The resulting sub-optimal solution is then used to provide a decision indicator for defining effective quality control procedures (e.g. visual post-assembly inspection of a small number of critical spot welds) as well as designing redundancy into critical zones. The final part of the paper is related to comparing the robustness of competing designs. Some decision-making indicators are presented to help the analyst to plan robust resistance spot welds designs along with quality controls in order to insure a specified level of structural performance. All examples are presented on a full body-in-white structure (one million dofs and thousands spot welds).
机译:汽车结构包括成千上万的点焊,其设计必须使组装好的汽车能够满足各种性能要求,包括静态,动态和碰撞标准。标准优化策略的目标是在满足所有设计目标的同时,尽可能减少点焊的数量。但是,由于设计空间的阶数很高以及随后的计算成本过高,使用穷举搜索方法进行点焊分布的经典优化根本不可行。此外,即使可以进行此计算,对于在制造不确定性(焊缝和缺陷焊缝的位置)方面的设计稳健性以及由于疲劳影响而导致的点焊的退化,其结果也不一定十分有用。机动车。在本文中,提出了一种决策方法,该方法允许将鲁棒性问题的某些方面集成到点焊设计过程中。起点是结构上点焊的给定分布,该分布基于工程知识和初步关键数值结果,尤其是诸如碰撞行为之类的标准。然后建立一个人口过多的点焊分布,以满足剩余的设计标准,例如静态扭转角和模态行为。然后,基于能量考虑的有效优化程序用于消除多余的点焊,同时尽可能保留名义结构行为。然后将得到的次优解决方案用于提供决策指标,以定义有效的质量控制程序(例如,对少量关键点焊的视觉组装后检查)以及设计关键区域的冗余度。本文的最后一部分与比较竞争设计的鲁棒性有关。提出了一些决策指标,以帮助分析人员规划坚固的电阻点焊设计以及质量控制,以确保达到规定的结构性能水平。所有示例均以完整的白车身结构(一百万个自由度和数千个点焊)呈现。

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