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[01135] Computational framework for design, optimization, and control of sintering process

  • Session Time & Room : 5D (Aug.25, 15:30-17:10) @E605
  • Type : Contributed Talk
  • Abstract : Optimization and control of sintering, which is governed by macroscopic coupled electro-thermo-mechanical model, is critical for additive manufacturing. To reduce time in making process design decisions, we present a hybridized model-based and data-driven computational framework. In particular, we demonstrate an inverse estimation strategy combining offline-online efficient data assimilation and surrogate modeling. We test the performance of the proposed method in accelerating the estimation of sintering process parameters and hard-to-measure material properties like viscosity.
  • Classification : 65M32, 65F55, 74H15, 60-08, 74D99
  • Author(s) :
    • Rahul Dhopeshwar (TU Eindhoven)
    • Harshit Bansal (TU Eindhoven)
    • Karen Veroy (TU Eindhoven)