Abstract
This work deals with the identification of parameters for constitutive models by inverse modeling. This is a topic which has been of increasing interest among researcher within the sheet metal forming community. A method for analytical sensitivity analysis is presented and a non-linear least square technique is used to solve the inverse problem, i.e. minimize the least-square error between a experimental and a model data-set. The constitutive relations are modelled using exponential hardening, isotropic yield conditions and coulomb friction. The experimental data was sampled from a deep drawing operation, and the model data was produced by a corresponding finite element model.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
