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High strain rate micro-compression for crystal plasticity constitutive law parameters identification

Simon Breumier, Sergio Sao-Joao, Aillani Villani, Martin Lévesque et Guillaume Kermouche

Article de revue (2020)

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Abstract

Microcompression tests were performed on single crystal copper micropillars at 10−2 s−1 and 102 s−1 in the [100], [110] and [111] orientations, to provide inputs for crystal plasticity strain rate sensitive parameters inverse identification. The identification procedure used full pillar geometry finite element simulations. An identifiability indicator based on the cost function's hessian matrix approximate close to the minimum was used to assess the uniqueness and stability of the identified coefficients. Experimental microcompression tests displayed a strain rate sensitive behaviour in the [100] crystal orientation. The [110] and [111] orientations were less sensitive and were not used for identification. Stress-strain curve sensitivity plots revealed that the higher the strain rate, the better the sensitivity. This was attributed to high strain rates concentration in the shear bands as the strain rate increases. Identification on experimental data well represented the single crystal strain rate sensitivity in the [100] orientations. A unique solution was found using only a single orientation.

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Matériel d'accompagnement:
Département: Département de génie mécanique
Organismes subventionnaires: NSERC, LABEX MANUTECH-SISE, ANR
Numéro de subvention: RGPIN-06412-2016, ANR-10-LABX-0075, ANR-11-IDEX-0007, ANR-10-EQPX-36-01
URL de PolyPublie: https://publications.polymtl.ca/45156/
Titre de la revue: Materials and Design (vol. 193)
Maison d'édition: Elsevier Ltd
DOI: 10.1016/j.matdes.2020.108789
URL officielle: https://doi.org/10.1016/j.matdes.2020.108789
Date du dépôt: 18 avr. 2023 15:00
Dernière modification: 26 janv. 2026 05:48
Citer en APA 7: Breumier, S., Sao-Joao, S., Villani, A., Lévesque, M., & Kermouche, G. (2020). High strain rate micro-compression for crystal plasticity constitutive law parameters identification. Materials and Design, 193, 17 pages. https://doi.org/10.1016/j.matdes.2020.108789

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