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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Detalles Bibliográficos
Autores principales: Adak, Debajyoti, Sreeramagiri, Praveen, Roy, Somnath, Balasubramanian, Ganesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10456614/
https://www.ncbi.nlm.nih.gov/pubmed/37629971
http://dx.doi.org/10.3390/ma16165680

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10456614/
https://www.ncbi.nlm.nih.gov/pubmed/37629971
http://dx.doi.org/10.3390/ma16165680

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