建立增材制造工艺模型的周动力框架

IF 2.9 4区 工程技术 Q1 MULTIDISCIPLINARY SCIENCES
Christian Willberg, Jan‐Timo Hesse, Felix Winkelmann, Robert Hein
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引用次数: 0

摘要

本研究介绍了在 PeriLab 软件中分析增材制造过程的框架。该框架采用无网格、基于点的数值方法来逼近连续的 PD 方程。在此框架内实施了热学、热力学和简单添加模型。这些模型已通过分析解决方案、有限元 (FE) 模型和 Peridigm 仿真验证。为了充分利用无网格 PD 实现,本研究引入了一种新颖的边界检测算法。由于外表面区域在制造过程中可能会发生变化,因此该算法至关重要。它的运行不需要表面或拓扑信息,而是依靠邻域体积与球体体积的比较。此外,该研究还引入了一个封装器,可根据 G 代码机器输入路径生成模拟打印过程所需的网格。最后,该研究利用开发的功能对 L 形轮廓进行了综合分析,并将分析结果与 Abaqus 解决方案得出的结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Peridynamic Framework to Model Additive Manufacturing Processes

Peridynamic Framework to Model Additive Manufacturing Processes
The study presents a framework for analyzing Additive Manufacturing processes within the Peridynamics (PD) software PeriLab. This framewor k employs a mesh‐free, point‐based numerical approach to approximate the continuum PD equations. Implemented within this framework are thermal, thermo‐mechanical, and simple additive models. These models have been validated against analytical solutions, Finite Element (FE) models, and Peridigm simulations. To leverage the PD mesh‐free implementation, the study introduces a novel boundary detection algorithm. This algorithm is essential because the outer surface area may change during the manufacturing process. It operates without requiring surface or topology information, relying instead on the comparison of neighborhood volume to sphere volume. Additionally, the study introduces a wrapper that generates the mesh necessary for simulating the printing process, based on the G‐code machine input path. Finally, the study presents a comprehensive analysis of an L‐shaped profile utilizing the developed features, comparing the results with those obtained from an Abaqus solution.
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来源期刊
Advanced Theory and Simulations
Advanced Theory and Simulations Multidisciplinary-Multidisciplinary
CiteScore
5.50
自引率
3.00%
发文量
221
期刊介绍: Advanced Theory and Simulations is an interdisciplinary, international, English-language journal that publishes high-quality scientific results focusing on the development and application of theoretical methods, modeling and simulation approaches in all natural science and medicine areas, including: materials, chemistry, condensed matter physics engineering, energy life science, biology, medicine atmospheric/environmental science, climate science planetary science, astronomy, cosmology method development, numerical methods, statistics
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