Prediction of Porosity and its Mechanisms in Metal Additive Manufacturing

R. Mohan, N. Ingle
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Abstract

Selective Laser Melting (SLM) is an up-and-coming additive manufacturing technique that uses a laser as the power source and is specially developed for 3D Printing metal alloys. SLM advancement is significant since it can create custom property parts, reduce material usage and design freedom, and quickly manufacture complex components. The high energy density of laser generates various unwanted structural defects such as keyholes and porosity, which results in crack formation & distortion, and subsequent reduction in mechanical strength of the components. The present work aims to simulate the relevant physical configurations of the SLM process and identify process parameters and the effect of metal powder variation. A representative model based on Molecular Dynamics (MD) is developed to explore the sintering mechanism of metal powders. Open-source code LAMMPS (Large-scale Atomic/Molecular Massively Parallel Simulator) has been used to develop a working model to emulate a powder bed consisting of metal particles. The melting phenomenon is simulated by the heating layer of the metal particle bed. The results from this study will be able to predict the onset mechanism of porosity better and crack formation in Metal 3D printed parts.
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金属增材制造中孔隙率预测及其机理
选择性激光熔化(SLM)是一种新兴的增材制造技术,它使用激光作为电源,专为3D打印金属合金而开发。SLM的进步意义重大,因为它可以创建自定义属性部件,减少材料使用和设计自由度,并快速制造复杂组件。激光的高能量密度会产生各种不需要的结构缺陷,如锁孔和孔隙,从而导致裂纹的形成和变形,从而降低部件的机械强度。本工作旨在模拟SLM工艺的相关物理配置,识别工艺参数和金属粉末变化的影响。建立了基于分子动力学(MD)的代表性模型来探讨金属粉末的烧结机理。使用开源代码LAMMPS(大规模原子/分子大规模并行模拟器)开发了一个工作模型来模拟由金属颗粒组成的粉末床。利用金属颗粒床的加热层模拟了熔融现象。本研究的结果将能够更好地预测金属3D打印零件孔隙率的发生机制和裂纹的形成。
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