MS207G Modelling and Simulation for Additive Manufacturing VII
MS Corresponding Organizer: Dr. Andreas Lundbäck (Luleå University of Technology)
Chaired by:
Dr. Andreas Lundbäck (Luleå University of Technology , Sweden) , Prof. Jesper Hattel (Danmarks Tekniske Universitet (DTU) , Denmark)
Dr. Andreas Lundbäck (Luleå University of Technology , Sweden) , Prof. Jesper Hattel (Danmarks Tekniske Universitet (DTU) , Denmark)
Scheduled presentations:
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Keynote
Machine Learning for The Qualification of Direct Energy Deposition Processes
M. Chiumenti*, T. Herzog2, C. Moreira, A. Molotnikov, M. Caideco, R. Ramma, M. Cervera -
A highly efficient computational approach for fast scan-resolved simulations of metal additive manufacturing processes on the scale of real parts
S. Proell*, P. Munch, M. Kronbichler, W. Wall, C. Meier -
Efficient multi-phase-field simulation method for predicting material microstructures in various scanning strategies of additive manufacturing
Y. Takahashi*, S. Sakane, T. Takaki -
Fast Photopolymerization Simulation using the Laplace Transform Finite Element Method
N. Sanchez Martinez*, O. van der Sluis, J. Remmers -
Simulation of additively manufactured glasses based on the Hamilton principle using Neigbor Element Methode (NEM)
T. Rudolf*, M. Soleimani, T. Bode, P. Junker -
Multiphysics and Multiscale Computational Modelling and Experimental Studies on the Influence of Powder Size Distribution to Ti-6Al-4V Material Deposited by Cold Spray Additive Manufacturing
Z. Zhang*, T. Ba, D. Seng, J. Pan, Z. Zhang, Z. Liu