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Wentao Yan
Wentao Yan PhD
Assistant Professor
Department of Mechanical Engineering
National University of Singapore


Dr. Wentao Yan is an assistant professor at the Department of Mechanical Engineering, National University of Singapore (NUS). Prior to this, he was a postdoctoral fellow at Northwestern University and also a guest researcher at the National Institute of Standards and Technology (NIST), in the USA. He finished his phd work jointly between Tsinghua University and Northwestern University, and obtained his bachelor’s degree in Tsinghua University. His research interests are advanced manufacturing, computational mechanics and multi-scale modelling. Dr. Yan has been widely recognized and invited to give talks at international conferences (e.g., World Congress in Computational Mechanics), prestigious universities, research institutions and high-tech companies (e.g., University of Waterloo, Peking University, Argonne National Lab, Lawrence Livermore National Lab, NIST, and Livermore Software Technology Corp (LS-DYNA)). He serves as scientific committee members and mini-symposium chairs for international conferences, and reviewers for flagship journals.

Multi-scale multi-physics modeling of powder-based additive manufacturing with experimental validation

Metallic powder-based additive manufacturing (AM) technologies show promising potentials to reshape manufacturing industries. However, the wide adoption is hin-dered by the lack of understanding of physical mechanisms and assessment of numer-ous influential factors. To this end, I have developed a multi-scale multi-physics mod-eling framework consisting of: physically-informed heat source models, specifically, for an electron beam from micro-scale simulations of electron-atom interactions, and for a laser incorporating multi-reflection and Fresnel absorption; high-fidelity powder-scale Discrete Element Method-Computational Fluid Dynamics (DEM-CFD) models to simulate powder being spread and then melted; and an efficient Finite Element (FE) heat transfer model at part-scale. I will also introduce our efforts on seamlessly linking Process-Structure-Property models. With the experimental configuration and material-dependence incorporated, the models have proved to be valuable to understand and optimize the AM process of complex materials.

Figure 1. Multi-scale Multiphysics modeling of powder-based additive manufacturing

  • DAYS
Key Dates
   Deadline for Submission of Abstract:
  October 31, 2018
   Notification of abstract acceptance:
   November 15, 2018