Analytical Prediction of Multi-Phase Texture in Laser Powder Bed Fusion
For advancing manufacturing, arising AM, with an inverse philosophical approach compared to conventional procedures, has benefits that include intricate fabrication, reduced material waste, flexible design, and more. Regardless of its potential, AM must overcome several challenges due to multi-physi...
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MDPI AG
2024-10-01
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| Series: | Journal of Manufacturing and Materials Processing |
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| Online Access: | https://www.mdpi.com/2504-4494/8/5/234 |
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| author | Wei Huang Mike Standish Wenjia Wang Jinqiang Ning Linger Cai Ruoqi Gao Hamid Garmestani Steven Y. Liang |
| author_facet | Wei Huang Mike Standish Wenjia Wang Jinqiang Ning Linger Cai Ruoqi Gao Hamid Garmestani Steven Y. Liang |
| author_sort | Wei Huang |
| collection | DOAJ |
| description | For advancing manufacturing, arising AM, with an inverse philosophical approach compared to conventional procedures, has benefits that include intricate fabrication, reduced material waste, flexible design, and more. Regardless of its potential, AM must overcome several challenges due to multi-physical processes with miscellaneous physical stimuli in diverse materials systems and situations, such as anisotropic microstructure and mechanical properties, a restricted choice of materials, defects, and high cost. Unlike conventional experimental work that requires extensive trial and error resources and FEM, which generally consumes substantial computational power, the analytical approach based on physics is an exceptional choice. Understanding the relationship between the microstructure and material properties of the fabricated parts is a crucial focus in AM research. Texture is a vital factor in almost every modern industry. This study first proposed a physics-based model to foreshadow the multi-phase crystallographic orientation distribution in Ti-6Al-4V LPBF while considering the part boundary conditions due to the importance of part geometry in real industry. The thermal distribution obtained from this function operates as the information for the single-phase crystallographic texture model. In this model, we forerun and validate the orientations of single-phase materials utilizing three Euler Angles with the principles of CET and thermodynamics, as well as the intensity of the texture by approximating them with published results. Then, we transform the single-phase texture into a dual-phase texture in Bunge calculation, illustrating visualized by pole figures of both BCC and HCP phases. The tendency and appearances of both BCC and HCP phases in pole figures predicted agree well with the experimental results. This texture evolution model provides a new paradigm for future researchers to model the texture or microstructure evolution semi-analytically and save many computational resources in a real-world perspective. Others have not yet done this work about simulating the multi-phase texture in an analytical approach, so this work bridges the gap in this field. Furthermore, this paper establishes the foundation for future research on materials properties affected by microstructure or texture in academic and industrial environments. The precision and dependability of the results obtained through this method make it a valuable tool for ongoing research and advancement. |
| format | Article |
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| institution | OA Journals |
| issn | 2504-4494 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
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| series | Journal of Manufacturing and Materials Processing |
| spelling | doaj-art-cee5b68a19664b6fb8085744ce2a8aa52025-08-20T02:11:11ZengMDPI AGJournal of Manufacturing and Materials Processing2504-44942024-10-018523410.3390/jmmp8050234Analytical Prediction of Multi-Phase Texture in Laser Powder Bed FusionWei Huang0Mike Standish1Wenjia Wang2Jinqiang Ning3Linger Cai4Ruoqi Gao5Hamid Garmestani6Steven Y. Liang7George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 801 Ferst Drive, Atlanta, GA 30332, USASchool of Materials Science and Engineering, Georgia Institute of Technology, 771 Ferst Drive NW, Atlanta, GA 30332, USADepartment of Wood Science and Engineering, Oregon State University, 1500 SW Jefferson Way, Corvallis, OR 97331, USAYale School of Business and Management, Yale University, 165 Whitney Ave, New Haven, CT 06511, USAGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 801 Ferst Drive, Atlanta, GA 30332, USASchool of Materials Science and Engineering, Georgia Institute of Technology, 771 Ferst Drive NW, Atlanta, GA 30332, USASchool of Materials Science and Engineering, Georgia Institute of Technology, 771 Ferst Drive NW, Atlanta, GA 30332, USAGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 801 Ferst Drive, Atlanta, GA 30332, USAFor advancing manufacturing, arising AM, with an inverse philosophical approach compared to conventional procedures, has benefits that include intricate fabrication, reduced material waste, flexible design, and more. Regardless of its potential, AM must overcome several challenges due to multi-physical processes with miscellaneous physical stimuli in diverse materials systems and situations, such as anisotropic microstructure and mechanical properties, a restricted choice of materials, defects, and high cost. Unlike conventional experimental work that requires extensive trial and error resources and FEM, which generally consumes substantial computational power, the analytical approach based on physics is an exceptional choice. Understanding the relationship between the microstructure and material properties of the fabricated parts is a crucial focus in AM research. Texture is a vital factor in almost every modern industry. This study first proposed a physics-based model to foreshadow the multi-phase crystallographic orientation distribution in Ti-6Al-4V LPBF while considering the part boundary conditions due to the importance of part geometry in real industry. The thermal distribution obtained from this function operates as the information for the single-phase crystallographic texture model. In this model, we forerun and validate the orientations of single-phase materials utilizing three Euler Angles with the principles of CET and thermodynamics, as well as the intensity of the texture by approximating them with published results. Then, we transform the single-phase texture into a dual-phase texture in Bunge calculation, illustrating visualized by pole figures of both BCC and HCP phases. The tendency and appearances of both BCC and HCP phases in pole figures predicted agree well with the experimental results. This texture evolution model provides a new paradigm for future researchers to model the texture or microstructure evolution semi-analytically and save many computational resources in a real-world perspective. Others have not yet done this work about simulating the multi-phase texture in an analytical approach, so this work bridges the gap in this field. Furthermore, this paper establishes the foundation for future research on materials properties affected by microstructure or texture in academic and industrial environments. The precision and dependability of the results obtained through this method make it a valuable tool for ongoing research and advancement.https://www.mdpi.com/2504-4494/8/5/234LPBFanalytical simulationbunge calculationboundary heat transfermulti-phase texture |
| spellingShingle | Wei Huang Mike Standish Wenjia Wang Jinqiang Ning Linger Cai Ruoqi Gao Hamid Garmestani Steven Y. Liang Analytical Prediction of Multi-Phase Texture in Laser Powder Bed Fusion Journal of Manufacturing and Materials Processing LPBF analytical simulation bunge calculation boundary heat transfer multi-phase texture |
| title | Analytical Prediction of Multi-Phase Texture in Laser Powder Bed Fusion |
| title_full | Analytical Prediction of Multi-Phase Texture in Laser Powder Bed Fusion |
| title_fullStr | Analytical Prediction of Multi-Phase Texture in Laser Powder Bed Fusion |
| title_full_unstemmed | Analytical Prediction of Multi-Phase Texture in Laser Powder Bed Fusion |
| title_short | Analytical Prediction of Multi-Phase Texture in Laser Powder Bed Fusion |
| title_sort | analytical prediction of multi phase texture in laser powder bed fusion |
| topic | LPBF analytical simulation bunge calculation boundary heat transfer multi-phase texture |
| url | https://www.mdpi.com/2504-4494/8/5/234 |
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