{"title":"Predicting the tensile behaviour of friction stir welded AA2024 and AA5083 alloy based on artificial neural network and mayfly optimization algorithm","authors":"M. Jiju, P. Diaz","doi":"10.1504/ijcmsse.2023.10053477","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":39426,"journal":{"name":"International Journal of Computational Materials Science and Surface Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computational Materials Science and Surface Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijcmsse.2023.10053477","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
期刊介绍：
IJCMSSE is a refereed international journal that aims to provide a blend of theoretical and applied study of computational materials science and surface engineering. The scope of IJCMSSE original scientific papers that describe computer methods of modelling, simulation, and prediction for designing materials and structures at all length scales. The Editors-in-Chief of IJCMSSE encourage the submission of fundamental and interdisciplinary contributions on materials science and engineering, surface engineering and computational methods of modelling, simulation, and prediction. Papers published in IJCMSSE involve the solution of current problems, in which it is necessary to apply computational materials science and surface engineering methods for solving relevant engineering problems.
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