Investigating the Heterogeneity in Microstructure Evolution During Selective Laser Melting of Titanium Aluminides: An Integrated Experimental and Modeling Study
{"title":"Investigating the Heterogeneity in Microstructure Evolution During Selective Laser Melting of Titanium Aluminides: An Integrated Experimental and Modeling Study","authors":"Xing Zhang, L. Mushongera, Y. Liao","doi":"10.1115/msec2022-85722","DOIUrl":null,"url":null,"abstract":"\n Additive manufacturing (AM) has shown great potentials in fabricating titanium aluminides (TiAl-based alloys) toward high-temperature components in aerospace and automotive applications. However, due to the complex thermal conditions during AM, the as-printed components typically contain heterogeneous microstructure, leading to nonuniform mechanical properties. A thorough understanding of microstructure evolution during AM is necessary to fabricate high-performance TiAl-based components. In this work, the mechanism for the formation of heterogeneous microstructure during selective laser melting (SLM), particularly the spatial variations in sub-grain cellular structure, was revealed by a computational framework. Specifically, a binary Ti-45Al (at.%) alloy was used for the SLM experimental observation and model development to investigate the process-microstructure relationship. The computational framework integrates a finite element thermal model and a phase-field microstructural model. A particular focus was put on the local sub-grain cellular structure evolution within the melt pool. The microstructural sensitivity to spatial variations and individual processing parameters were investigated to better understand the non-equilibrium solidification during SLM. Good agreements in the sub-grain size were achieved between experimental measurements and modeling predictions. This work presents valuable insights and guidance toward the process optimization and alloy design for fabricating high-performance TiAl-based alloys.","PeriodicalId":23676,"journal":{"name":"Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability","volume":"8 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/msec2022-85722","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Additive manufacturing (AM) has shown great potentials in fabricating titanium aluminides (TiAl-based alloys) toward high-temperature components in aerospace and automotive applications. However, due to the complex thermal conditions during AM, the as-printed components typically contain heterogeneous microstructure, leading to nonuniform mechanical properties. A thorough understanding of microstructure evolution during AM is necessary to fabricate high-performance TiAl-based components. In this work, the mechanism for the formation of heterogeneous microstructure during selective laser melting (SLM), particularly the spatial variations in sub-grain cellular structure, was revealed by a computational framework. Specifically, a binary Ti-45Al (at.%) alloy was used for the SLM experimental observation and model development to investigate the process-microstructure relationship. The computational framework integrates a finite element thermal model and a phase-field microstructural model. A particular focus was put on the local sub-grain cellular structure evolution within the melt pool. The microstructural sensitivity to spatial variations and individual processing parameters were investigated to better understand the non-equilibrium solidification during SLM. Good agreements in the sub-grain size were achieved between experimental measurements and modeling predictions. This work presents valuable insights and guidance toward the process optimization and alloy design for fabricating high-performance TiAl-based alloys.