About this Abstract |
Meeting |
Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
|
Symposium
|
Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
|
Presentation Title |
(On-Demand) Modelling of Chemical Species Mixing During In-situ Alloying of Ternary Alloys and Effect on Rapid Grain Growth |
Author(s) |
Junji Shinjo, Chinnapat Panwisawas |
On-Site Speaker (Planned) |
Junji Shinjo |
Abstract Scope |
In-situ alloying using laser-based additive manufacturing is simulated for the ternary Ti-Zr-Cu system to elucidate thermal-chemical-fluid flow dynamics and species mixing characteristics, which is significant in designing alloys used for biomedical applications. In the configuration of powder-bed fusion, process parameters such as laser power and laser scanning speed are investigated, which affect the melt pool size and induced flow velocity where chemical species mixing is determined. In this ternary alloy system, the cooling behaviour is examined and discussed, which is significantly important to determine crystallisation or formation of metallic glass. The high-fidelity modelling approach is extended to physics-based grain growth modelling during rapid solidification, including the effects of thermal gradient and chemical composition distribution. |
Proceedings Inclusion? |
Undecided |