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matlab mtex toolbox software  (MathWorks Inc)


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    MathWorks Inc matlab mtex toolbox software
    Matlab Mtex Toolbox Software, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 2340 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/mtex+matlab+toolbox+software/Database+Toolbox/10__1016_slash_j__lithos__2025__107970-53-2-2
    Average 96 stars, based on 2340 article reviews
    matlab mtex toolbox software - by Bioz Stars, 2026-10
    96/100 stars

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    Article Title: Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulations
    Article Snippet: This ODF was first symmetrized to impose orthotropy and the MTEX Matlab Toolbox [ ] software was used to generate 250 orientations representative of the material texture, which were further used as input in all the FE simulations with Caz2018polycrys, which relies on Caz2018singlecrys yield criterion for the description of the plastic behaviour of the constituent crystallites. .. This ODF was first symmetrized to impose orthotropy and the MTEX Matlab Toolbox [ ] software was used to generate 250 orientations representative of the material texture, which were further used as input in all the FE simulations with Caz2018polycrys, which relies on Caz2018singlecrys yield criterion for the description of the plastic behaviour of the constituent crystallites. ..

    Article Title: Anodization growth of TiO2 nanotubes on Ti–35Nb–7Zr–5Ta alloy: effects of anodization time, strain hardening, and crystallographic texture
    Article Snippet: Titanium and its alloys are the most suitable metallic materials available for the fabrication of medical implants.. Their biocompatibility can be improved by the growth of TiO2 nanotubes on their surface by a simple anodization process.. This work involved an investigation into the anodization behavior of Ti–35Nb–7Zr– 5Ta (TNZT) alloy, focusing on the effect of processing conditions (anodization time and type of electrolyte), previous strain hardening, and crystallographic texture of the substrate.



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    Effort required to model the texture and to identify the data set for the polycrystalline models including hardening data. In the last column, referring to the tensile test with the polycrystal model, the number of Finite elements (FE) or the FFT grid size used is indicated in square brackets

    Journal: International Journal of Material Forming

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

    doi: 10.1007/s12289-022-01672-w

    Figure Lengend Snippet: Effort required to model the texture and to identify the data set for the polycrystalline models including hardening data. In the last column, referring to the tensile test with the polycrystal model, the number of Finite elements (FE) or the FFT grid size used is indicated in square brackets

    Article Snippet: This ODF was first symmetrized to impose orthotropy and the MTEX Matlab Toolbox [ ] software was used to generate 250 orientations representative of the material texture, which were further used as input in all the FE simulations with Caz2018polycrys, which relies on Caz2018singlecrys yield criterion for the description of the plastic behaviour of the constituent crystallites.

    Techniques: Software