Advances and Challenges in Predictive Modeling for Additive Manufacturing of Dissimilar Metals and Complex Alloys
We present a scrutiny on the state of the art and applicability of predictive methods for additive manufacturing (AM) of metals, alloys, and compositionally complex metallic materials, to provide insights from the computational models for AM process optimization. Our work emphasizes the importance o...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-08-01
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| Series: | Materials |
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| Online Access: | https://www.mdpi.com/1996-1944/16/16/5680 |
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| author | Debajyoti Adak Praveen Sreeramagiri Somnath Roy Ganesh Balasubramanian |
| author_facet | Debajyoti Adak Praveen Sreeramagiri Somnath Roy Ganesh Balasubramanian |
| author_sort | Debajyoti Adak |
| collection | DOAJ |
| description | We present a scrutiny on the state of the art and applicability of predictive methods for additive manufacturing (AM) of metals, alloys, and compositionally complex metallic materials, to provide insights from the computational models for AM process optimization. Our work emphasizes the importance of manufacturing parameters on the thermal profiles evinced during processing, and the fundamental insights offered by the models used to simulate metal AM mechanisms. We discuss the methods and assumptions necessary for an educated tradeoff between the efficacy and accuracy of the computational approaches that incorporate multi-physics required to mimic the associated fluid flow phenomena as well as the resulting microstructures. Finally, the current challenges in the existing approaches are summarized and future scopes identified. |
| first_indexed | 2024-03-10T23:46:32Z |
| format | Article |
| id | doaj.art-6a39bec3a6f44e429bccf671810479e6 |
| institution | Directory Open Access Journal |
| issn | 1996-1944 |
| language | English |
| last_indexed | 2024-03-10T23:46:32Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Materials |
| spelling | doaj.art-6a39bec3a6f44e429bccf671810479e62023-11-19T02:01:12ZengMDPI AGMaterials1996-19442023-08-011616568010.3390/ma16165680Advances and Challenges in Predictive Modeling for Additive Manufacturing of Dissimilar Metals and Complex AlloysDebajyoti Adak0Praveen Sreeramagiri1Somnath Roy2Ganesh Balasubramanian3Department of Mechanical Engineering, Indian Institute of Technology, Kharagpur 721302, IndiaDepartment of Mechanical Engineering & Mechanics, Lehigh University, Bethlehem, PA 18015, USADepartment of Mechanical Engineering, Indian Institute of Technology, Kharagpur 721302, IndiaDepartment of Mechanical Engineering & Mechanics, Lehigh University, Bethlehem, PA 18015, USAWe present a scrutiny on the state of the art and applicability of predictive methods for additive manufacturing (AM) of metals, alloys, and compositionally complex metallic materials, to provide insights from the computational models for AM process optimization. Our work emphasizes the importance of manufacturing parameters on the thermal profiles evinced during processing, and the fundamental insights offered by the models used to simulate metal AM mechanisms. We discuss the methods and assumptions necessary for an educated tradeoff between the efficacy and accuracy of the computational approaches that incorporate multi-physics required to mimic the associated fluid flow phenomena as well as the resulting microstructures. Finally, the current challenges in the existing approaches are summarized and future scopes identified.https://www.mdpi.com/1996-1944/16/16/5680additive manufacturingmicrostructure simulationthermal transportmelt poolprocess parameter optimization |
| spellingShingle | Debajyoti Adak Praveen Sreeramagiri Somnath Roy Ganesh Balasubramanian Advances and Challenges in Predictive Modeling for Additive Manufacturing of Dissimilar Metals and Complex Alloys Materials additive manufacturing microstructure simulation thermal transport melt pool process parameter optimization |
| title | Advances and Challenges in Predictive Modeling for Additive Manufacturing of Dissimilar Metals and Complex Alloys |
| title_full | Advances and Challenges in Predictive Modeling for Additive Manufacturing of Dissimilar Metals and Complex Alloys |
| title_fullStr | Advances and Challenges in Predictive Modeling for Additive Manufacturing of Dissimilar Metals and Complex Alloys |
| title_full_unstemmed | Advances and Challenges in Predictive Modeling for Additive Manufacturing of Dissimilar Metals and Complex Alloys |
| title_short | Advances and Challenges in Predictive Modeling for Additive Manufacturing of Dissimilar Metals and Complex Alloys |
| title_sort | advances and challenges in predictive modeling for additive manufacturing of dissimilar metals and complex alloys |
| topic | additive manufacturing microstructure simulation thermal transport melt pool process parameter optimization |
| url | https://www.mdpi.com/1996-1944/16/16/5680 |
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