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AFRL Additive Manufacturing Modeling Series: Challenge 2, Microscale Process-to-Structure Data Description
Integrating Materials and Manufacturing Innovation ( IF 2.4 ) Pub Date : 2021-06-25 , DOI: 10.1007/s40192-021-00220-9
Edwin J. Schwalbach , Michael G. Chapman , Michael A. Groeber

The Air Force Research Laboratory Additive Manufacturing Modeling Series was executed to create calibration and validation data sets relevant to models of laser powder bed fusion-processed metallic materials. This article describes the data generated for the 2nd of 4 challenge questions which was specifically focused on microscale process-to-structure modeling needs. This work describes the experimental methods, and the resulting characterization data collected from a series of single-track and multi-track deposits built with an EOS M280 from the nickel-based alloy IN625. In general, track dimensions followed common scaling behaviors as a function of processing parameters in quasi-steady-state regions, but significant systematic track geometry variations were quantified in transient regions with more dynamic energy input processes.



中文翻译:

AFRL 增材制造建模系列:挑战 2,微尺度工艺到结构数据描述

空军研究实验室增材制造建模系列旨在创建与激光粉末床熔融加工金属材料模型相关的校准和验证数据集。本文描述了为 4 个挑战问题中的第 2 个生成的数据,这些问题专门针对微尺度过程到结构建模需求。这项工作描述了实验方法,以及从使用 EOS M280 镍基合金 IN625 构建的一系列单轨和多轨沉积物收集的所得表征数据。一般来说,轨道尺寸遵循作为准稳态区域中处理参数的函数的常见缩放行为,但在具有更多动态能量输入过程的瞬态区域中量化了显着的系统轨道几何变化。

更新日期:2021-06-28
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