For more information please contact Prof. dr. ir. Karl Meerbergen (firstname.lastname@example.org; phone:+32 16 327959) or dr. ir. Ward Melis (email@example.com; phone:+32 16 320616).
You can apply for this job no later than October 15, 2020 via the online application tool
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At the Department of Computer Science of KU Leuven, the research unit NUMA works on numerical methods, algorithms and software for simulation and data analysis, with applications in many fields in science and engineering. The research in NUMA on materials engineering focuses on multi-scale simulation, high performance computing and model order reduction. NUMA is partner in a 3-year research project on Process Simulation in Additive Manufacturing, funded by Strategic Initiative on Materials (SIM-Flanders, https://www.sim-flanders.be). Other partners are Siemens, Materialise, SABCA, ESMA and two other departments at KU Leuven, Materials Engineering (MTM) and Mechanical Engineering.
Additive Manufacturing (AM) is becoming important in industry since it allows for virtually unlimited design possibilities with minimal additional costs. However, insights in and control of the AM print process are still limited and often based on trial-and-error. The project, in which this vacancy fits, aims at understanding how phenomena at different length and time scales interact during the metal AM printing and post-processing steps to define the final performance of a part. Multi-physics, multi-scale process simulation tools will be developed and validated with measurements. To ensure efficient execution of the simulation workflow novel efficient numerical tools must be developed.
The aim of this postdoc position is to extend KU Leuven’s current software stack for deriving mechanical properties of single-phase materials to dual-phase materials. One component of this software stack is the Facet yield locus model, a generic and flexible model developed at KU Leuven that requires the identification of many parameters. Parameter identification can be done by using the Virtual Experimentation Framework (VEF) software. The specific goal of the proposed position is to extend the Facet yield surface model and the corresponding VEF identification procedures from single-phase, cubic materials to dual-phase, hexagonal materials.