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BIW Optimization by Means of an Automated CAE Process for the Reduction of Welding Points

机译:通过自动化CAE处理来减少焊接点的自动化CAE优化

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The reduction of vehicle manufacturing costs is one of the most important targets in the development phase. One way to reduce this cost is by means of the reduction of welding points. Another challenge lies in reducing the development time. Both for reduction of costs as well as development time, simulation is increasingly important. This paper explains how both objectives can be achieved by means of spot weld optimization applying the finite-element method. The BIW has to satisfy certain requirements. The most important requirements concern fatigue, stiffness and crashworthiness. Some requirements may cause conflicting solutions, for example, a good solution for stiffness (such as a high eigenvalue), could be an unacceptable solution for crashworthiness. For this reason, joints or other parts are sometimes oversized. In order to reduce the cost of the project and simplify the manufacturing process, an optimization study is performed. In this project, all spot welds used in the manufacturing process of the BIW will be analysed with optimization software (PAM-OPT) for all load cases mentioned earlier (crashworthiness, stiffness and fatigue). The objective is to minimize the number of welds and improve the defined targets. After this spot weld reduction, the BIW must still meet all structural targets defined in the project. This means that the target in BIW stiffness (first eigenvalue), crash targets (pulse, deformation pattern, intrusions) and fatigue targets must be respected. In order to perform the optimization, it is necessary to define the target (e.g. spot weld reduction), the constraints for each load case (structural targets), the best optimization algorithm to be used and design parameters, as well as considering issues such as optimizing CPU usage. This study is limited by the amount of available CPU's. Analysing different load cases for a complete BIW, implies a significant calculation capacity, especially for load cases calculated with the explicit method (offset crash, side crash, etc.). The limited availability of CPUs could mean that only a partial study of the vehicle is feasible.
机译:车辆制造成本的减少是发展阶段中最重要的目标之一。减少这种成本的一种方法是通过减少焊接点。另一个挑战在于减少开发时间。为了降低成本以及开发时间,模拟越来越重要。本文解释了如何通过应用有限元方法的点焊优化来实现两个目标。 BIW必须满足某些要求。最重要的要求涉及疲劳,僵硬和牢固耐用。一些要求可能导致冲突的解决方案,例如,刚度(例如高特征值)的良好解决方案,可能是用于耐火性的不可接受的解决方案。因此,关节或其他部分有时会超大。为了降低项目的成本并简化制造过程,执行优化研究。在该项目中,BIW的制造过程中使用的所有点焊都将通过优化软件(PAM-OPT)进行分析,用于前面提到的所有负载箱(Crashworthings,刚度和疲劳)。目的是最小化焊缝的数量并改善定义的目标。在该点焊缝减少之后,BIW仍然必须满足项目中定义的所有结构目标。这意味着必须遵守BIW刚度(第一特征值),崩溃靶(脉冲,变形图案,入侵)和疲劳靶标的靶标。为了执行优化,有必要定义目标(例如点焊还原),每个负载箱(结构目标)的约束,要使用的最佳优化算法和设计参数,以及考虑诸如的问题优化CPU使用率。本研究受到可用CPU的金额的限制。分析完整的BIW的不同载荷盒,意味着具有显着的计算能力,尤其是用明确方法(偏移崩溃,侧碰撞等)计算的负载箱。 CPU的有限可用性可能意味着只有对车辆的部分研究是可行的。

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