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Meeting NUMIFORM 2019: The 13th International Conference on Numerical Methods in Industrial Forming Processes
Symposium S-02: Advanced Strategies for Inverse Identification of Constitutive Material Models
Organizer(s) Sam Coppieters, KU Leuven
Antonio Andrade-Campos, Universidade de Aveiro
Scope New emerging materials with improved or specifically tailored mechanical properties are currently used in mechanical design to meet ever more stringent performance requirements. To do so, modern mechanical design heavily relies on numerical simulations. Advanced constitutive models enable capture the complex material behavior, but usually require the identification of a large number of parameters. The latter often hampers the industrial application of advanced constitutive material models. In this mini-symposium, we welcome contributions aiming at devising efficient inverse identification strategies and procedures which mitigate the calibration effort of advanced constitutive material models.

Visit the conference website, NUMIFORM 2019, for information about publication opportunities.
Abstracts Due 12/02/2018
Proceedings Plan Planned: At-meeting proceedings

Characterization of plastic behavior in a wide range of strain for 6061-O and 6061-T4 aluminum alloy sheets
Constitutive Hardening Model Development for Materials with Evolving Microstructural Phase Constituents
Determination of uniaxial large-strain workhardening for high-strength steel sheets with the aid of DIC technique
Effect of Strain Rate on Determining Post-necking Work Hardening of a Low-carbon Steel Sheet
Identification of the anisotropic behavior of sheet metals using the virtual fields method and cruciform specimens
Identification of the anisotropic plastic constitutive parameters using the virtual fields method for AZ31B magnesium alloy
Inverse calibration of anisotropic plasticity models: a numerical study on the coupling of a biaxial test and the virtual fields method
Inverse identification of polynomial anisotropic material parameters by thickness strain of thin sheet metal
Large strain flow curve identification for joining by forming of sheet metal
On the numerical efficiency of inverse identification processes of elastoplastic constitutive models using advanced parallel optimization strategies
On the use of direct approximated methods to derive the stress from the strain in plasticity

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