MS103B Computational Challenges in Industry and Sustainable Development: Sampling, Surrogate and Multi-fidelity Models for Inverse Analysis, Uncertainty Quantification and Optimisation II
MS Corresponding Organizer: Dr. Matteo Giacomini (CIMNE - Universitat Politècnica de Catalunya, Barcelona)
Chaired by:
Dr. Matteo Giacomini (CIMNE - Universitat Politècnica de Catalunya, Barcelona , Spain) , Dr. Lorenzo Tamellini (CNR , Italy)
Dr. Matteo Giacomini (CIMNE - Universitat Politècnica de Catalunya, Barcelona , Spain) , Dr. Lorenzo Tamellini (CNR , Italy)
Scheduled presentations:
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Probabilistic Forecast of the Day-Ahead Electricity Consumption Profile with Stochastic Differential Equations
R. Saporiti*, F. Nobile, C. Pareja -
Modeling and Uncertainty Quantification of Velocity Fluctuations for Derivation of Automotive Component Loads
P. Strähle*, S. Wolff-Vorbeck, T. Leyendecker, C. Proppe -
Using Bayesian Optimization for Cavity Shape Optimization in Injection Molding to Compensate for Shrinkage and Warpage
S. Tillmann*, S. Elgeti -
Sustainable Manufacturing via Robust Optimization and Tailored Scatter
O. Nejadseyfi* -
Application of NURBS-based Metamodel to Fused Deposition Modeling 3D Printing Process
M. Zani*, M. Carraturo, E. Panettieri, P. Marin, F. Auricchio, M. Montemurro -
Data-informed uncertainty quantification for laser-based powder bed fusion additive manufacturing by multi-fidelity surrogate modeling
M. Chiappetta, C. Piazzola, L. Tamellini*, A. Reali, F. Auricchio, M. Carraturo
