Forthcoming and Online First Articles

International Journal of Computational Materials Science and Surface Engineering

International Journal of Computational Materials Science and Surface Engineering (IJCMSSE)

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International Journal of Computational Materials Science and Surface Engineering (1 paper in press)

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  • Predicting the tensile behaviour of friction stir welded AA2024 and AA5083 alloy based on artificial neural network and mayfly optimization algorithm   Order a copy of this article
    by P.M. Diaz, M. Julie Emerald Jiju 
    Abstract: In recent years, Metal Matrix Composites (MMCs) are developed as one of the functional materials with enhanced properties and wide range of applications Aluminium metal matrix composites are the type of MMCs where aluminium is taken as the base metal alloy The hybrid metal composite is fabricated by welding AA2024 and AA5083 alloys To predict the tensile behaviour of AA2024 and AA5083 alloys, a new approach has been proposed by integrating the artificial neural network with mayfly optimization algorithm To analyse the predicting efficiency of the proposed approach, it is compared with artificial neural networks and experimental test values The results from the analysis indicated that the proposed approach has enhanced predicting accuracy than artificial neural
    Keywords: Aluminium alloy; Mechanical properties; ANN; Mayfly optimization algorithm; Inertial weights.
    DOI: 10.1504/IJCMSSE.2023.10053477