Evolution of grain structure during laser additive manufacturing. Simulation by a cellular automata method

By A. Zinoviev, O. Zinovieva, V. Ploshikhin, V. Romanova, R. Balokhonov. 2016

224 citations recorded by the source corpus.

Subfields: Automotive Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/256fb88819ce8ebdc017c714ecc463d521634d62

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. W. Y. Yeong
2. Swee Leong Sing
3. Joel Heang Kuan Tan
4. Jing Zhang
5. Yi Zhang

In Mechanical Engineering

1. W. Y. Yeong
2. Swee Leong Sing
3. Joel Heang Kuan Tan
4. Jing Zhang
5. Yi Zhang

Citations in the corpus

• Microstructure modelling for metallic additive manufacturing: a review (2020, background): “Simulation method Phase field method Modified cellular automata Kinetic Monte Carlo Cellular automata Computational resource High High Low Moderate Length scale 0.025–0.2 µm <100 × 100 µm2 ∼200 k to 1 M cells 0.3–0.4 µm <100 × 100 µm2 ∼1 M cells 1–10 µm <2 × 2 × 2 mm3 ∼1–50 M sites 1–10 µm <2 × 2 × ”
• Modeling of solidification microstructure evolution in laser powder bed fusion fabricated 316L stainless steel using combined computational fluid dynamics and cellular automata (2019, methodology): “Direct application on additive manufacturing process is recently reported [31-33], but a three-dimensional (3D) CA model with a realistic powder bed configuration is still absent.”