Investigations on the Application of the Downhill-Simplex-Algorithm to the Inverse Determination of Material Model Parameters for FE-Machining Simulations-Reference-Cited by-同舟云学术

Investigations on the Application of the Downhill-Simplex-Algorithm to the Inverse Determination of Material Model Parameters for FE-Machining Simulations

Published:2021-02 Issue: Volume:107 Page:102214
ISSN:1569-190X
Container-title:Simulation Modelling Practice and Theory
language:en
Short-container-title:Simulation Modelling Practice and Theory

Author:

Hardt M.,Schraknepper D.,Bergs T.

Publisher

Elsevier BV

Subject

Hardware and Architecture,Modeling and Simulation,Software

Reference59 articles.

1. Predictive tool and process design for efficient chip control in metal cutting;Buchkremer;Dissertation: RWTH Aachen Aachen,2015

2. The Influence of Material Models on Finite Element Simulation of Machining;Shi;In: Journal of Manufacturing Science and Engineering,2004

3. On the machining induced residual stresses in IN718 nickel-based alloy;Arrazola;Experiments and predictions with finite element simulation. In: Simulation Modelling Practice and Theory. Vol.,2014

4. Dependence of Machining Simulation Effectiveness on Material and Friction Modelling;Filice;In: Machining Science and Technology,2008

5. Material Constitutive Modeling Under High Strain Rates and Temperatures Through Orthogonal Machining Tests;Lei;In: Journal of Manufacturing Science and Engineering,1999

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