Tang Guannan, Gould Benjamin J, Rollett Anthony D
Department of Materials Science and Engineering, Carnegie-Mellon University, Pittsburgh, PA 15213.
Applied Materials Division, Argonne National Laboratory, Lemont, IL 60490.
Data Brief. 2023 Mar 8;48:109050. doi: 10.1016/j.dib.2023.109050. eCollection 2023 Jun.
Hot cracking as the major concern in the manufacturing process of metal alloys is detrimental to part performance and can lead to catastrophic failure. However, current research in this field is restricted to the scarcity of the relevant hot cracking susceptibility data. Here, using the DXR technique provided at 32-ID-B beamline of Advanced Photon Source (APS) at Argonne National Laboratory, we characterized the hot cracking formation in Laser Powder Bed Fusion (L-PBF) process for ten commercial alloys (Al7075, Al6061, Al2024, Al5052, Haynes 230, Haynes 160, Haynes X, Haynes 120, Haynes 214, and Haynes 718). The extracted DXR images captured the post-solidification hot cracking distribution and allow the quantification of the hot cracking susceptibility of those alloys. We further exploited this in our recent effort on hot cracking susceptibility prediction [1] and established a hot cracking susceptibility dataset posted on Mendeley Data for the purpose of facilitating the relevant research in this field.
热裂纹作为金属合金制造过程中的主要问题，对零件性能有害，并可能导致灾难性故障。然而，目前该领域的研究由于相关热裂纹敏感性数据的匮乏而受到限制。在此，我们利用阿贡国家实验室先进光子源（APS）32-ID-B光束线提供的DXR技术，对十种商用合金（Al7075、Al6061、Al2024、Al5052、Haynes 230、Haynes 160、Haynes X、Haynes 120、Haynes 214和Haynes 718）在激光粉末床熔融（L-PBF）过程中的热裂纹形成进行了表征。提取的DXR图像捕捉到了凝固后的热裂纹分布，并能够对这些合金的热裂纹敏感性进行量化。我们在最近关于热裂纹敏感性预测的工作中进一步利用了这一点[1]，并建立了一个发布在Mendeley Data上的热裂纹敏感性数据集，以促进该领域的相关研究。
