A multiscale modeling approach for fast prediction of part distortion in selective laser melting

By C. Li, C. Fu, Yuebin B. Guo, Fengzhou Fang. 2016

292 citations recorded by the source corpus.

Subfields: Automotive Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/84379f66a4b820010dc722155bac906c5e18ab58

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. T. Mukherjee
2. T. DebRoy
3. H. Wei
4. Amitava De
5. Wei Zhang
6. J. Elmer
7. J. Zuback
8. J. Milewski

In Mechanical Engineering

1. T. DebRoy
2. T. Mukherjee
3. H. Wei
4. Amitava De
5. J. Elmer
6. Wei Zhang
7. J. Zuback
8. J. Milewski

Citations in the corpus

• Additive manufacturing of metallic components – Process, structure and properties (2018, methodology): “[247] proposed a method that mapped the local residual stress field calculated in the meso-scale layer hatch model to the macro-part model for fast prediction of part distortion.”
• Keyhole-induced porosities in Laser-based Powder Bed Fusion (L-PBF) of Ti6Al4V: High-fidelity modelling and experimental validation (2019, background): “These defects cover a wide range, spanning from voids [8] and internal porosities to cracks [9], delamination and large deformations [10].”
• Selective laser melting of H13: microstructure and residual stress (2017, methodology): “[30] studied the residual stress issue during SLM using a coupled thermo-mechanical model.”