MS207B Modelling and Simulation for Additive Manufacturing II
MS Corresponding Organizer: Dr. Andreas Lundbäck (Luleå University of Technology)
Chaired by:
Prof. Jesper Hattel (Danmarks Tekniske Universitet (DTU) , Denmark) , Dr. Andreas Lundbäck (Luleå University of Technology , Sweden)
Prof. Jesper Hattel (Danmarks Tekniske Universitet (DTU) , Denmark) , Dr. Andreas Lundbäck (Luleå University of Technology , Sweden)
Scheduled presentations:
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Keynote
Original Eigenstrain Framework Combined with Machine Learning for Fast Residual Stress and Distortion Prediction in LPBF Parts
P. Markovic*, E. Mazza, E. Hosseini -
Reduced Order Model for Temperature Field Simulation of Wire Arc Additive Manufacturing
D. Strobl*, J. Unger, C. Ghnatios, A. Pittner, M. Rethmeier, A. Robens-Radermacher -
Fast Thermal History Prediction During Additive Manufacturing Processes Using Deep Learning Methodologies
L. Salesses*, L. Arbaoui, A. François, C. Sainvitu -
Accelerated Additive Manufacturing Simulation Through Inherent Strains Meta-Models Trained With Generic Databases
H. Hernandez*, N. Poletz, T. Van Hoof -
Data-driven surrogate modelling of residual stresses in Laser Powder-Bed Fusion
L. Lestandi*, J. Wong, G. Dong, M. Jhon