考虑制造质量变化和可持续性要求的坚固轻便设计和数字孪生

Q4 Engineering
Petteri Kokkonen, B. Hemming, E. Mikkola, Linus Teir, Ville Lämsä, J. Junttila
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引用次数: 0

摘要

本文介绍了具有测量偏差的疲劳临界焊接结构的鲁棒性优化和通用鲁棒设计程序。在工程设计中考虑不确定性、鲁棒性和多准则决策的动机来自于日益增长的可持续性要求。车辆的轻量化设计可以减少二氧化碳排放,提高能源和材料效率,但焊缝的疲劳往往限制了重量的减轻。制造质量影响焊接的疲劳强度,通过量化制造质量和使用稳健的设计方法,可以满足日益增长的可持续性要求,同时也考虑到技术和经济约束。该替代模型代表了实际测量几何形状与疲劳寿命之间的关系,可作为运行过程中的数字孪生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust lightweight design and digital twins considering manufacturing quality variation and sustainability requirements
In this paper, robustness optimization of a fatigue-critical welded structure with measured misalignments and a generic robust design procedure are presented. The motivation for considering uncertainties, robustness and multi-criteria decision making in engineering design comes from the increasing sustainability requirements. Lightweight design of vehicles can reduce CO2 emissions and increase energy and material efficiency, but often the fatigue of welds limits the weight reduction. The manufacturing quality affects the fatigue strength of welds, and by quantifying the manufacturing quality and using robust design methodology the increasing sustainability requirements can be met, while also considering the technical and economical constraints. The surrogate model representing the relationship between the actual, measured geometry and the fatigue life can be used as the digital twin during operation.
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来源期刊
Rakenteiden Mekaniikka
Rakenteiden Mekaniikka Engineering-Mechanical Engineering
CiteScore
0.50
自引率
0.00%
发文量
2
审稿时长
16 weeks
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