Anisotropy and heterogeneity of microstructure and mechanical properties in metal additive manufacturing: A critical review

By Y. Kok, X. Tan, Pan Wang, M. Nai, N. Loh, E. Liu, Shu Beng Tor. 2018

1,250 citations recorded by the source corpus.

Subfields: Automotive Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/146034302a995bedad4baebc7f10b7a2552e0f5f

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. M. Laleh
2. Alexander Rassau
3. M. Moyle
4. Jun Wei
5. Ana Vafadar
6. S. Primig
7. N. Haghdadi
8. Kevin Hayward

In Mechanical Engineering

1. P. Howes
2. M. Laleh
3. G. Gibbons
4. Alexander Rassau
5. M. Moyle
6. A. Das
7. Jun Wei
8. Ana Vafadar

Citations in the corpus

• High cycle fatigue life prediction of laser additive manufactured stainless steel: A machine learning approach (2019, background): “But such assumptions are not valid, as the steep temperature gradient during L-PBF processing is known to generate highly anisotropic and heterogeneous microstructures [20].”
• Additive manufacturing of steels: a review of achievements and challenges (2020, background): “[89] Kok Y, Tan XP, Wang P, Nai M, Loh NH, Liu E, Tor SB”