Please note that the program is published in Central European Summer Time (CEST).

Back to overview


WEB Process-Microstructure Relation during Metallic Powder Bed Fusion Studied by Multiphysics and Multiscale Phase-field Modeling

Friday (25.09.2020)
10:25 - 10:40 M: Modelling and Simulation 1
Part of:

As one of the most popular additive manufacturing techniques for metallic materials, powder bed fusion (PBF) of alloy materials has shown industries flexibility and rapidness in manufacturing novel and complex geometries [1]. Modeling and simulation of the PBF aim to complement the current time and cost expensive trial-and-error principle with an efficient computational design tool. Nevertheless, it remains a great challenge due to the sophisticated and interactive nature of underlying physics, which covers a broad range of time and length scales and strongly depends on the processing parameters (incl. beam size and power, as well as scan speed) [2]. A unified modeling scenario considering scale effects as well as multiphysics coupling is thereby essential for the reliable microstructure prediction.

In this work, we develop a non-isothermal phase-field modeling scenario coupled with multiphysics, such as fluid dynamics, heat transfer, nucleation and grain growth, to recapitulate interesting phenomena from multiple time/length scale and reveal their interactions during the PBF, which are not accessible to the conventional isothermal model. Models are derived in a thermodynamically consistent way according to our latest work and numerically implemented by the finite element method (FEM) within the MOOSE framework [3, 4]. We further perform the parameter investigations of the PBF procedure. The influences from the processing parameters on the features such as the temperature field, melt pool size, microstructure and densification are also discussed.


Yangyiwei Yang
Technische Universität Darmstadt
Additional Authors:
  • Prof. Dr. Bai-Xiang Xu
    Technische UniversitatDarmstadt


Category Short file description File description File Size
Extended Abstract v. 1.0 199 KB Download