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  1. Article: A multivariate grain size and orientation distribution function: derivation from electron backscatter diffraction data and applications.

    Galán López, Jesús / Kestens, Leo A I

    Journal of applied crystallography

    2021  Volume 54, Issue Pt 1, Page(s) 148–162

    Abstract: Two of the microstructural parameters most influential in the properties of polycrystalline materials are grain size and crystallographic texture. Although both properties have been extensively studied and there are a wide range of analysis tools ... ...

    Abstract Two of the microstructural parameters most influential in the properties of polycrystalline materials are grain size and crystallographic texture. Although both properties have been extensively studied and there are a wide range of analysis tools available, they are generally considered independently, without taking into account the possible correlations between them. However, there are reasons to assume that grain size and orientation are correlated microstructural state variables, as they are the result of single microstructural formation mechanisms occurring during material processing. In this work, the grain size distribution and orientation distribution functions are combined in a single multivariate grain size orientation distribution function (GSODF). In addition to the derivation of the function, several examples of practical applications to low carbon steels are presented, in which it is shown how the GSODF can be used in the analysis of 2D and 3D electron backscatter diffraction data, as well as in the generation of representative volume elements for full-field models and as input in simulations using mean-field methods.
    Language English
    Publishing date 2021-02-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2020879-0
    ISSN 1600-5767 ; 0021-8898
    ISSN (online) 1600-5767
    ISSN 0021-8898
    DOI 10.1107/S1600576720014909
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: A Data-Driven Approach for Studying the Influence of Carbides on Work Hardening of Steel.

    Vittorietti, Martina / Hidalgo, Javier / Galán López, Jesús / Sietsma, Jilt / Jongbloed, Geurt

    Materials (Basel, Switzerland)

    2022  Volume 15, Issue 3

    Abstract: This study proposes a new approach to determine phenomenological or physical relations between microstructure features and the mechanical behavior of metals bridging advanced statistics and materials science in a study of the effect of hard precipitates ... ...

    Abstract This study proposes a new approach to determine phenomenological or physical relations between microstructure features and the mechanical behavior of metals bridging advanced statistics and materials science in a study of the effect of hard precipitates on the hardening of metal alloys. Synthetic microstructures were created using multi-level Voronoi diagrams in order to control microstructure variability and then were used as samples for virtual tensile tests in a full-field crystal plasticity solver. A data-driven model based on Functional Principal Component Analysis (FPCA) was confronted with the classical Voce law for the description of uniaxial tensile curves of synthetic AISI 420 steel microstructures consisting of a ferritic matrix and increasing volume fractions of M23C6 carbides. The parameters of the two models were interpreted in terms of carbide volume fractions and texture using linear mixed-effects models.
    Language English
    Publishing date 2022-01-24
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma15030892
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulations.

    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 / Vincze, Gabriela

    International journal of material forming

    2022  Volume 15, Issue 5, Page(s) 61

    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 ... ...

    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.
    Language English
    Publishing date 2022-07-15
    Publishing country France
    Document type Journal Article
    ZDB-ID 2423930-6
    ISSN 1960-6214 ; 1960-6206
    ISSN (online) 1960-6214
    ISSN 1960-6206
    DOI 10.1007/s12289-022-01672-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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