Dimensionless analysis on selective laser melting to predict porosity and track morphology
Dimensionless analysis on selective laser melting to predict porosity and track morphology
复制标题
选择性激光熔化的无量纲分析以预测孔隙率和轨迹形态
DOI：
10.1016/j.jmatprotec.2019.05.019
复制
发表时间：
2019
影响因子：
6.3
通讯作者：
Moubin Liu
中科院分区：
文献类型：
--
作者：
Zekun Wang;Moubin Liu
选择性激光熔化（SLM）是一种很有前途的增材制造技术，在学术界和工业界都受到越来越多的关注。SLM过程中固有的复杂物理特性，如流体流动、传热和相变，对增材制造产品的质量控制提出了巨大挑战，因此，深刻理解SLM的机理具有重要意义。现有文献主要集中在实验研究或数值模拟上，所提供的结果通常是有限的，不适用于一般情况。为了解决这一问题，本文提出了一种无量纲分析方法。首先，通过对SLM过程能量方程的归一化进行理论分析。其次，提出了表征SLM热力学行为的四个关键无因次数，包括焊接参数、熔化和汽化效率以及轨迹尺寸参数。第三，采用一组常用的处理参数来估计这些无量纲数字，从而对其物理意义提供定性理解。最后，利用所提出的无量纲数对SLM过程进行了分析，结果表明，这些无量纲数可以有效地描述和预测SLM的物理特性，包括连续轨迹的形成、孔隙度演化和轨迹尺寸。
Selective laser melting (SLM) is a promising additive manufacturing (AM) technique that has been attracting more and more attention both in academia and industry. The complex physics inherent in SLM processes, such as fluid flow, heat transfer, and phase change, pose great challenges to the quality control of AM products and a profound understanding of the mechanism of SLM is, therefore, significant. The existing literature mainly focuses on experimental investigations or numerical simulations where the provided results are usually limited and not applicable to general cases. To tackle this problem, we present a dimensionless analysis on SLM in this paper. Firstly, a theoretical analysis through normalization of the energy equation of the SLM process is conducted. Secondly, four key dimensionless numbers are proposed to characterize the thermo-dynamical behaviors of SLM including welding parameter, melting and vaporization efficiency, and track size parameter. Thirdly, a set of commonly-used processing parameters are employed to estimate these dimensionless numbers that provides a qualitative understanding of their physical significances. Finally, the presented dimensionless numbers are employed to analyze the SLM process and to reveal that these dimensionless numbers are effective in describing and predicting the physics of SLM for continuous track forming, porosity evolution, and track size.
影响因子：
4.1
作者：
Zekun Wang;Wentao Yan;Wing Kam Liu;Moubin Liu
通讯作者：
Zekun Wang;Wentao Yan;Wing Kam Liu;Moubin Liu