MS11 (Optimization & Inverse) | 2021
Coordinator: Prof. Matteo Strano
Co-organisers: Prof. A. Gil Andrade-Campos, Prof. Sam Coppieters
Description: Contributions on the following subjects are welcomed: METHODS FOR METAMODELING, CONTROL AND OPTIMIZATION OF FORMING PROCESSES: shape and topological optimization; optimization of manufacturing processes and machines; process control; new metamodeling techniques. INVERSE ANALYSIS: identification of constitutive, friction, heat transfer or damage parameters; identification of boundary conditions or unknown process conditions; design of experimental procedures and measurement techniques for inverse analysis; numerical methods and algorithms for inverse analysis. Stochastic approaches: reliability assessment; robust design; optimisation under uncertainty.
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Deep neural networks as surrogate models for time-efficient manufacturing process optimisation
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Independent Validation of Generic Specimen Design for Inverse Identification of Plastic Anisotropy
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Development and identification of the cellular automata phase transformation model
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Numerical study of the square cup stamping process: a stochastic analysis
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Effect of input variables uncertainty in free tube hydroforming process
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Design of heterogeneous interior notched specimens for material mechanical characterization
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Design of a fuzzy controller to prevent wrinkling during rotary draw bending
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On the optimisation efficiency for the inverse identification of constitutive model parameters
