Journal
ADDITIVE MANUFACTURING
Volume 22, Issue -, Pages 758-774Publisher
ELSEVIER
DOI: 10.1016/j.addma.2018.06.024
Keywords
Metal additive manufacturing; 3D printing; Thermomechanical modeling; Finite element methods; Residual stress
Funding
- National Science Foundation [CMMI 1538851]
- NIAMS - National Institute of Health [R01 AR067306-01A1]
- NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES [R01AR067306] Funding Source: NIH RePORTER
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Next generation, additively-manufactured metallic parts will be designed with application-optimized geometry, composition, and functionality. Manufacturers and researchers have investigated various techniques for increasing the reliability of the metal-AM process to create these components, however, understanding and manipulating the complex phenomena that occurs within the printed component during processing remains a formidable challenge limiting the use of these unique design capabilities. Among various approaches, thermomechanical modeling has emerged as a technique for increasing the reliability of metal-AM processes, however, most literature is specialized and challenging to interpret for users unfamiliar with numerical modeling techniques. This review article highlights fundamental modeling strategies, considerations, and results, as well as validation techniques using experimental data. A discussion of emerging research areas where simulation will enhance the metal-AM optimization process is presented, as well as a potential modeling workflow for process optimization. This review is envisioned to provide an essential framework on modeling techniques to supplement the experimental optimization process.
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