Residual stress-constrained space–time topology optimization for multi-axis additive manufacturing

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Computer Methods in Applied Mechanics and Engineering Pub Date : 2025-03-21 DOI:10.1016/j.cma.2025.117913
Kai Wu, Fred van Keulen, Jun Wu
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Abstract

Residual stresses and distortions are major barriers to the broader adoption of wire arc additive manufacturing. These issues are coupled and arise due to large thermal gradients and phase transformations during the directed energy deposition process. Mitigating distortions may lead to substantial residual stresses, causing cracks in the fabricated components. In this paper, we propose a novel method to reduce both residual stresses and distortions by optimizing the fabrication sequence. This approach explores the use of non-planar layers, leveraging the increased manufacturing flexibility provided by robotic arms. Additionally, our method allows for the concurrent optimization of the structural layout and corresponding fabrication sequence. We employ the inherent strain method as a simplified process simulation model to predict residual stresses and distortions. Local residual stresses are aggregated using a p-norm function, which is integrated into distortion minimization as a constraint. Through numerical examples, we demonstrate that the optimized non-planar fabrication strategies can effectively reduce both residual stresses and distortions.
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残余应力和变形是线弧快速成型技术广泛应用的主要障碍。在定向能量沉积过程中,由于热梯度大和相变,会产生这些问题。减缓变形可能会导致巨大的残余应力,使制造的部件出现裂缝。在本文中,我们提出了一种新方法,通过优化制造顺序来减少残余应力和变形。这种方法利用机械臂提供的更高制造灵活性,探索了非平面层的使用。此外,我们的方法还能同时优化结构布局和相应的制造顺序。我们采用固有应变法作为简化的工艺模拟模型来预测残余应力和变形。局部残余应力使用 p-norm 函数进行聚合,并将其作为约束条件集成到变形最小化中。通过数值示例,我们证明了优化的非平面制造策略可以有效减少残余应力和变形。
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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
期刊介绍: Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.
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