Novel texture analysis method for optimising material property in extruded 6xxx alloys using artificial neural networks

IF 4.8 2区材料科学 Q1 MATERIALS SCIENCE, CHARACTERIZATION & TESTING

Materials Characterization Pub Date : 2025-02-20 DOI:10.1016/j.matchar.2025.114859

Mian Zhou , Chrysoula Tzileroglou , Carla Barbatti , Hamid Assadi

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引用次数: 0

Abstract

This study investigates the extruded texture of a 6xxx series high-strength aluminium alloy as a function of profile geometry using Electron Backscatter Diffraction (EBSD) and X-Ray diffraction pattern (XRD). A novel texture analysis method was designed to acquire and prepare reliable texture data for machine learning applications. The method categorizes textures into five distinct groups, with volume fractions calculated for each group. Furthermore, finite element analysis of the extrusion process revealed that axial tensile strain promotes a combination of 〈100〉 and 〈111〉 //ED texture components, while shear deformation induces 〈211〉 //ED texture components. The results were subsequently fed into an artificial neural network (ANN) model developed to link the texture to profile geometry, which governs the deformation modes experienced during the material flow. This approach represents a significant advancement towards real-time control of material properties during extrusion.

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来源期刊

Materials Characterization 工程技术-材料科学：表征与测试

CiteScore

7.60

自引率

8.50%

发文量

746

审稿时长

36 days

期刊介绍： Materials Characterization features original articles and state-of-the-art reviews on theoretical and practical aspects of the structure and behaviour of materials. The Journal focuses on all characterization techniques, including all forms of microscopy (light, electron, acoustic, etc.,) and analysis (especially microanalysis and surface analytical techniques). Developments in both this wide range of techniques and their application to the quantification of the microstructure of materials are essential facets of the Journal. The Journal provides the Materials Scientist/Engineer with up-to-date information on many types of materials with an underlying theme of explaining the behavior of materials using novel approaches. Materials covered by the journal include: Metals & Alloys Ceramics Nanomaterials Biomedical materials Optical materials Composites Natural Materials.