Search

Your search keyword '"Habraken, Anne Marie"' showing total 282 results
Start Over Author "Habraken, Anne Marie"
282 results on '"Habraken, Anne Marie"'

1. Extension of a phase-field KKS model to predict the microstructure evolution in LPBF AlSi10Mg alloy submitted to non isothermal processes

Author

Fetni, Seifallah, Delahaye, Jocelyn, Sepúlveda, Héctor, Duchêne, Laurent, Habraken, Anne Marie, and Mertens, Anne

Subjects
Condensed Matter - Materials Science
Abstract

The out-of-equilibrium heterogeneous microstructure typical of AlSi10Mg processed by Laser Powder Bed Fusion (LPBF) is often modified by further heat treatment to improve its ductility. According to literature, extensive experimental investigations are generally required in order to optimize these heat treatments. In the present work, a phase-field approach is developed based on an extended Kim-Kim-Suzuki (KKS) model to guide and accelerate the post-treatment optimization. Combined with CALculation of PHAse Diagrams (CALPHAD) data, this extended KKS model predicts microstructural changes under anisothermal conditions. To ensure a more physical approach, it takes into account the enhanced diffusion by quenched-in excess vacancies as well as the elastic energy due to matrix/precipitate lattice mismatch. As the developed model includes the computation of the evolution of the thermo-physical properties, its results are validated through comparison with experimental DSC curves measured during the non-isothermal loading of as-built LPBF AlSi10Mg. The computed microstructure evolution reproduces the microstructural observation and successfully explains the peaks in the DSC heat flow curve. It thus elucidates the detailed microstructural evolution inside the eutectic silicon phase by considering the growth and coalescence of silicon precipitates and the matrix desaturation.

Published
2024
Full Text
View/download PDF

3. Efficient Thermo-Mechanical Modelling of Cyclic Loading with Chaboche Type Constitutive Law Coupled with Damage

Author

Duchêne, Laurent, Morch, Hélène, Rojas-Ulloa, Carlos, Tuninetti, Víctor, Habraken, Anne Marie, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Mocellin, Katia, editor, Bouchard, Pierre-Olivier, editor, Bigot, Régis, editor, and Balan, Tudor, editor

Published
2024
Full Text
View/download PDF

4. Influence of the Identification Procedures of the Material Model in Accurate Prediction of Incremental Sheet Forming Forces

Author

Betaieb, Ehssen, Shin, Jaekwang, Lee, Youngrok, Duchêne, Laurent, Taub, Alan I., Banu, Mihaela, Habraken, Anne Marie, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Mocellin, Katia, editor, Bouchard, Pierre-Olivier, editor, Bigot, Régis, editor, and Balan, Tudor, editor

Published
2024
Full Text
View/download PDF

13. Computational Modeling of U-Shaped Seismic Dampers for Structural Damage Mitigation.

Author

Tuninetti, Víctor, Gómez, Álvaro, Bustos, Flavia, Oñate, Angelo, Hinojosa, Jorge, Gallo, Calogero, Habraken, Anne-Marie, and Duchêne, Laurent

Subjects
STRAINS & stresses (Mechanics), MILD steel, MATERIAL plasticity, FINITE element method, HAZARD mitigation, STRESS-strain curves
Abstract

U-shaped seismic dampers, passive metallic devices that dissipate energy by cyclic plastic deformation, are designed to mitigate the effects of seismic loads on structures. This study focuses on the development of an advanced computational model of a U-shaped damper, chosen for its unique design of variable thickness and width, which contributes to its superior performance. The simulation uses nonlinear finite element analysis and a bilinear hardening model calibrated to the actual stress–strain curve of the low-carbon steel. To ensure accuracy, a rigorous mesh convergence analysis is performed to quantify numerical prediction errors and establish a model suitable for predicting local deformation phenomena, including strain and stress fields, throughout the displacement-based loading protocol. Mesh sensitivity analysis, performed by examining the equivalent stress and cumulative plastic strain, derives the damper hysteresis curve and confirms the convergence criteria of the mesh within the experimentally observed plastic response range of the material. The resulting computational model is a novel contribution that provides reliable predictions of local inhomogeneous deformation and energy dissipation, essential for optimizing damper design and performance through more sophisticated damage-fatigue models that guarantee the lifetime of a damper. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

14. Efficient Representative Volume Element of a Matrix–Precipitate Microstructure—Application on AlSi10Mg Alloy.

Author

Bouffioux, Chantal, Papeleux, Luc, Calvat, Mathieu, Tran, Hoang-Son, Chen, Fan, Ponthot, Jean-Philippe, Duchêne, Laurent, and Habraken, Anne Marie

Subjects
MECHANICAL behavior of materials, FINITE element method, MICROSTRUCTURE, ALLOYS, TRANSVERSAL lines
Abstract

In finite element models (FEMs), two- or three-dimensional Representative Volume Elements (RVEs) based on a statistical distribution of particles in a matrix can predict mechanical material properties. This article studies an alternative to 3D RVEs with a 2.5D RVE approach defined by a one-plane layer of 3D elements to model the material behavior. This 2.5D RVE relies on springs applied in the out-of-plane direction to constrain the two lateral deformations to be compatible, with the goal of achieving the isotropy of the studied material. The method is experimentally validated by the prediction of the tensile stress–strain curve of a bi-phasic microstructure of the AlSi10Mg alloy. Produced by additive manufacturing, the sample material becomes isotropic after friction stir processing post treatment. If a classical plane strain 2D RVE simulation is clearly too stiff compared to the experiment, the predictions of the stress–strain curves based on 2.5D RVE, 2D RVE with no transversal constraint (called 2D free RVE), and 3D RVE simulations are close to the experiments. The local stress fields within a 2.5D RVE present an interesting similarity with 3D RVE local fields, but differences with the 2D free RVE local results. Since a 2.5D RVE simplifies one spatial dimension, the simulations with this model are faster than the 3D RVE (factor 2580 in CPU or taking into account an optimal parallel computation, a factor 417 in real time). Such a discrepancy can affect the FEM2 multi-scale simulations or the time required to train a neural network, enhancing the interest in a 2.5D RVE model. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

15. Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulations

Author

Habraken, Anne Marie, Aksen, Toros Arda, Alves, José L., Amaral, Rui L., Betaieb, Ehssen, Chandola, Nitin, Corallo, Luca, Cruz, Daniel J., Duchêne, Laurent, Engel, Bernd, Esener, Emre, Firat, Mehmet, Frohn-Sörensen, Peter, Galán-López, Jesús, Ghiabakloo, Hadi, Kestens, Leo A. I., Lian, Junhe, Lingam, Rakesh, Liu, Wencheng, Ma, Jun, Menezes, Luís F., Nguyen-Minh, Tuan, Miranda, Sara S., Neto, Diogo M., Pereira, André F. G., Prates, Pedro A., Reuter, Jonas, Revil-Baudard, Benoit, Rojas-Ulloa, Carlos, Sener, Bora, Shen, Fuhui, Van Bael, Albert, Verleysen, Patricia, Barlat, Frederic, Cazacu, Oana, Kuwabara, Toshihiko, Lopes, Augusto, Oliveira, Marta C., Santos, Abel D., and Vincze, Gabriela

Published
2022
Full Text
View/download PDF

42. Data from EXACT - Experiment and Analysis of Aluminum Cup Drawing Test, the first ESAFORM benchmark

Author

Vincze, Gabriela, Santos, Abel D., Oliveira, Marta C., Lopes, Augusto B., Kuwabara, Toshihiko, Habraken, Anne-Marie, Cazacu, Oana, and Barlat, Frédéric

Subjects
Benchmark · 6016-T4 aluminium alloy · Deep drawing · Crystallographic texture · Material characterisation
Abstract

Data from EXACT -Experiment and Analysis of Aluminum Cup Drawing Test, the first ESAFORM benchmark G. Vincze, A. Santos, M.C. Oliveira, A. B. Lopes, T. Kuwabara, A-M.Habraken, O. Cazacu, F. Barlat Thesedata are the basis of the Benchmark Exact, the first benchmark of the European Scientific Association for material FORMing – ESAFORM, and support the article entitled “Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulations”, published in the International Journal of Material Forming, Special Issue ESAFORM 25 YEARS ON,https://doi.org/10.1007/s12289-022-01672-w How to cite the data If you publish any work using thesedata, please cite theHabrakenet. al., (2022)articleaboveas well asthe dataset in the following recommended format: Vincze et al(2022);Dataof TheFirst ESAFORM benchmark EXACT,10.5281/zenodo.6874577 Benchmark motivation: Numerical simulations are powerful predictive tools for virtual forming process design and contribute to the significant reduction of trial-and-error time and cost in the development of new products. However, realistic numerical predictions are achieved only with a careful consideration of all the model input.In particular, a key ingredient is the choice of consistent constitutive models for the elasto-plastic behavior, identified using sound procedures from reliable and repeatable data sets. At present, the information provided in most benchmarks consists of the hardening law coefficients, along with limited experimental data such as, r-values, yield stresses and ultimate strengths extracted from uniaxial tension in certain loading directions, and possibly the coefficients of certain yield functions available in the material libraries of most commercial software. The identification of constitutive models is usually not included in the work requested to participants. Generally, there is no information provided concerning the experimental scatter because the “raw” data are not made available. While the behavior in tensile tests is essential, other loading paths (e.g. biaxial tension, uniaxial compression) may also be important for certain forming processes. Moreover, other types of data describing the initial material anisotropy and that induced by the deformation process, i.e. initial and post-test texture data, are rarely provided. For example, in a simple case of cup drawing, if the final cup test results are “blind data” describing the final geometry, the participants do not have the opportunity to analyze the quality/performance of their simulation results. In addition, if the tests are done in a single laboratory, the experimental scattering is limited to material variability but not to the characterization method nor to the raw data analysis procedure. This benchmark is a unique opportunity at providing an exhaustive analysis of the characterization and modeling of the elasto-plastic behavior of a sheet metal and its influence on the final virtual product. Specifically, the goal of the EXACT data is to generate in-depth discussions regarding the initial and final states of the material, methods of characterization, modelingand earing prediction in cup drawing. File organization Please, read the file “Identification of the files and folders”&nbsp

Published
2022
Full Text
View/download PDF

44. Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulations

Author

Habraken, Anne Marie (author), Aksen, Toros Arda (author), Alves, José L. (author), Amaral, Rui L. (author), Chandola, Nitin (author), Corallo, Luca (author), Engel, Bernd (author), Esener, Emre (author), Galan Lopez, J. (author), Kestens, L.A.I. (author), Habraken, Anne Marie (author), Aksen, Toros Arda (author), Alves, José L. (author), Amaral, Rui L. (author), Chandola, Nitin (author), Corallo, Luca (author), Engel, Bernd (author), Esener, Emre (author), Galan Lopez, J. (author), and Kestens, L.A.I. (author)

Abstract

This article details the ESAFORM Benchmark 2021. The deep drawing cup of a 1 mm thick, AA 6016-T4 sheet with a strong cube texture was simulated by 11 teams relying on phenomenological or crystal plasticity approaches, using commercial or self-developed Finite Element (FE) codes, with solid, continuum or classical shell elements and different contact models. The material characterization (tensile tests, biaxial tensile tests, monotonic and reverse shear tests, EBSD measurements) and the cup forming steps were performed with care (redundancy of measurements). The Benchmark organizers identified some constitutive laws but each team could perform its own identification. The methodology to reach material data is systematically described as well as the final data set. The ability of the constitutive law and of the FE model to predict Lankford and yield stress in different directions is verified. Then, the simulation results such as the earing (number and average height and amplitude), the punch force evolution and thickness in the cup wall are evaluated and analysed. The CPU time, the manpower for each step as well as the required tests versus the final prediction accuracy of more than 20 FE simulations are commented. The article aims to guide students and engineers in their choice of a constitutive law (yield locus, hardening law or plasticity approach) and data set used in the identification, without neglecting the other FE features, such as software, explicit or implicit strategy, element type and contact model., Team Erik Offerman

Published
2022
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results