Thermo-plastic Nonuniform Transformation Field Analysis for eigenstress analysis of materials undergoing laser melt injection

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Felix Fritzen , Julius Herb , Shadi Sharba
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引用次数: 0

Abstract

In engineering applications, surface modifications of materials can greatly influence the lifetime of parts and structures. For instance, laser melt injection (LMI) of ceramic particles into a metallic substrate can greatly improve abrasive resistance. The LMI process is challenging to model due to the rapid temperature changes, which induce high mechanical stresses. Ultimately, this leads to plastification and residual eigenstresses in particles and matrix. These depend on the process parameters. In order to predict these stresses, we propose a major extension of the Nonuniform Transformation Field Analysis that enables the method to cope with strongly varying thermo-elastic material parameters over a large temperature range (here: 300 to 1300 K). The newly proposed θ-NTFA method combines the NTFA with a Galerkin projection to solve for the self-equilibrated fields needed to gain the NTFA system matrices. For that, we exploit our recent thermo-elastic reduced order model (Sharba et al., 2023) and extend it to allow for arbitrary polarization strains. An efficient implementation and a rigorous separation of the derivation of the reduced order model is proposed. The new θ-NTFA is then validated for various thermo-mechanical loadings and in thermo-mechanical two-scale simulations.
用于激光熔体注入材料特征应力分析的热塑非均匀变换场分析法
在工程应用中,材料的表面改性可以极大地影响部件和结构的使用寿命。例如,将陶瓷颗粒激光熔射(LMI)到金属基体中可以大大提高耐磨性。由于快速的温度变化会产生高机械应力,因此 LMI 过程的建模具有挑战性。最终,这会导致颗粒和基体中的塑化和残余特征应力。这些应力取决于工艺参数。为了预测这些应力,我们提出了对非均匀变换场分析法的重大扩展,使该方法能够在较大的温度范围内(此处为 300 至 1300 K)处理变化强烈的热弹性材料参数。新提出的 θ-NTFA 方法将 NTFA 与 Galerkin 投影相结合,以求解获得 NTFA 系统矩阵所需的自平衡场。为此,我们利用了最新的热弹性降阶模型(Sharba 等人,2023 年),并将其扩展到任意极化应变。我们提出了一个高效的实现方法,并对还原阶模型的推导进行了严格的分离。然后,新的θ-NTFA 在各种热机械载荷和热机械双尺度模拟中得到了验证。
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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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