Predictive modeling capabilities from incident powder and laser to mechanical properties for laser directed energy deposition
DOI10.1007/s00466-018-1545-1zbMath1471.74052OpenAlexW2785473349WikidataQ113327284 ScholiaQ113327284MaRDI QIDQ1990760
Yung C. Shin, Wenda Tan, Neil Bailey, Christopher Katinas
Publication date: 25 October 2018
Published in: Computational Mechanics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00466-018-1545-1
microstructureresidual stresslaser additive manufacturingdirected energy depositionmolten pool dynamics
Micromechanics of solids (74M25) Thermal effects in solid mechanics (74F05) Thin bodies, structures (74K99) Mathematical modeling or simulation for problems pertaining to mechanics of deformable solids (74-10)
Cites Work
- Unnamed Item
- Linking process, structure, property, and performance for metal-based additive manufacturing: computational approaches with experimental support
- Modeling of coaxial powder flow for the laser direct deposition process
- Transient, three-dimensional heat transfer model for the laser assisted machining of silicon nitride. I: Comparison of predictions with measured surface temperature histories
- Transient, three-dimensional heat transfer model for the laser assisted machining of silicon nitride. II: Assessment of parametric effects
This page was built for publication: Predictive modeling capabilities from incident powder and laser to mechanical properties for laser directed energy deposition
