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A generalized non-linear flow law based on modified Zerilli-Armstrong model and its implementation into Abaqus/Explicit FEM Code
Pierre Tize Mha, Amèvi Tongne, Olivier Pantalé

A generalized non-linear flow law based on modified Zerilli-Armstrong model and its implementation into Abaqus/Explicit FEM Code

Science & Mathematics Published 2022 Verification Pending

Overview & Synopsis

Non-linear numerical modeling, widely used in research and development to understand many complex processes such as forming or machining, does not guarantee the success of a study to be performed. Indeed, the numerical simulation uses finite element codes where the models already integrated are not based on shapes adjustable to any type of study. In this study, a new form of non-linear constitutive flow law based on the Modified Zerilli-Armstrong model, which can answer the above problem, has been developed to apply it to the numerical simulation of two different tests (a quasi-static compression test, the necking of a circular bar). This flow law is based on the modified Zerilli-Armstrong model, which, together with the new modified Johnson-Cook model, has been compared to appreciate the relevance of the proposal. For that, an implementation of this new law via the VUHARD subroutine into the Abaqus/Explicit finite element code was made to model the two tests. The comparison of the results obtained (from identification) by our proposed law with those obtained using the NMJC shows that this new law better approaches the experiments than the other one. This is also shown through the numerical results using the Abaqus software. It can be said that this way of formulating a flow law allows highlighting the great performance of the proposed approach. Although this law has been only used for quasi-static tests, we can say that it can also be used in dynamic tests.

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Document Information

Document Title A generalized non-linear flow law based on modified Zerilli-Armstrong model and its implementation into Abaqus/Explicit FEM Code
Author / Organization Pierre Tize Mha, Amèvi Tongne, Olivier Pantalé
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2022
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-135452
Original Source Link Visit Source Page on hal.science »