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Inverse analysis for identification of rheological and friction models in metal forming
The paper deals with application of the inverse analysis to the identification of friction and
rheological models in metal forming. The direct model based on the finite element approach …
rheological models in metal forming. The direct model based on the finite element approach …
An improved multi-objective identification of Johnson–Cook material parameters
A weighted multi-objective identification strategy is presented for estimating Johnson–Cook
material parameters often used in general purpose finite element models. The method is …
material parameters often used in general purpose finite element models. The method is …
Identification from measurements of mechanical fields by finite element model updating strategies: a review
P Ienny, AS Caro-Bretelle… - European Journal of …, 2009 - Taylor & Francis
Inverse problem resolution methods are widely used in the determination of material
behaviour. The optimisation of the parameters, as inputs into a well-defined system, is …
behaviour. The optimisation of the parameters, as inputs into a well-defined system, is …
[HTML][HTML] Modeling of strain hardening behaviors of 6061 aluminum alloy considering strain rate and temperature effects
Y Wang, L ** of forming operations and systems becomes a real prospect for
industries, reliable and versatile simulation software must be created to efficiently and …
industries, reliable and versatile simulation software must be created to efficiently and …
A new approach to inverse identification of mechanical properties of composite materials: Regularized model updating
Inverse identification of constitutive parameters of materials might be adversely influenced
by noise in the measured data. This study is concerned with an improved Finite Element …
by noise in the measured data. This study is concerned with an improved Finite Element …
A critical analysis of plastic flow behaviour in axisymmetric isothermal and Gleeble compression testing
Coupled thermo-mechanical finite element modelling of both isothermal axisymmetric
compression and compression testing using the Gleeble thermo-mechanical simulator has …
compression and compression testing using the Gleeble thermo-mechanical simulator has …
Inverse identification using the bulge test and artificial neural networks
A Chamekh, H Belhadjsalah, R Hambli… - Journal of Materials …, 2006 - Elsevier
This paper describes an approach based on artificial neural networks to identify the material
parameters of a stainless steel material. The experimental method of the bulge test is used …
parameters of a stainless steel material. The experimental method of the bulge test is used …
[PDF][PDF] Parameters identification of material models based on the inverse analysis
The paper presents an application of the inverse analysis to the identification of two models:
a phase transformation model and a rheological model. The optimization algorithm for the …
a phase transformation model and a rheological model. The optimization algorithm for the …