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
, Spain
)
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:
-
Probabilistic Forecast of the Day-Ahead Electricity Consumption Profile with Stochastic Differential Equations
-
Modeling Velocity Fluctuations for the Derivation of Automotive Component Loads
-
Using Bayesian Optimization for Cavity Shape Optimization in Injection Molding to Compensate for Shrinkage and Warpage
-
Sustainable Manufacturing via Robust Optimization and Tailored Scatter
-
Application of NURBS-based Metamodel to Fused Deposition Modeling 3D Printing Process
-
Data-informed uncertainty quantification for laser-based powder bed fusion additive manufacturing by multi-fidelity surrogate modeling
