{"title":"CCD和RSM优化Al-Mg-Mn-Sc-Zr合金FSW工艺参数","authors":"M. S. Srinivasa Rao, N. Ramanaiah","doi":"10.2478/scjme-2018-0035","DOIUrl":null,"url":null,"abstract":"Abstract Al-Mg-Mn-Sc-Zr alloy plates of 5mm thick were welded successfully using Friction stir welding (FSW). Three-factor five-level central composite design was adopted for experimentation. Response surface methodology (RSM) was employed to construct a mathematical regression model. Optimization of FSW process parameters obtained by using response surface plots for maximize hardness, tensile strength, %elongation, impact strength and bending strength, the results were validated with confirmation tests at identified optimum conditions.","PeriodicalId":35968,"journal":{"name":"Strojnicky Casopis","volume":"68 1","pages":"195 - 224"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Optimization of Process Parameters for FSW of Al-Mg-Mn-Sc-Zr Alloy Using CCD And RSM\",\"authors\":\"M. S. Srinivasa Rao, N. Ramanaiah\",\"doi\":\"10.2478/scjme-2018-0035\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Al-Mg-Mn-Sc-Zr alloy plates of 5mm thick were welded successfully using Friction stir welding (FSW). Three-factor five-level central composite design was adopted for experimentation. Response surface methodology (RSM) was employed to construct a mathematical regression model. Optimization of FSW process parameters obtained by using response surface plots for maximize hardness, tensile strength, %elongation, impact strength and bending strength, the results were validated with confirmation tests at identified optimum conditions.\",\"PeriodicalId\":35968,\"journal\":{\"name\":\"Strojnicky Casopis\",\"volume\":\"68 1\",\"pages\":\"195 - 224\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Strojnicky Casopis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2478/scjme-2018-0035\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Strojnicky Casopis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/scjme-2018-0035","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
Optimization of Process Parameters for FSW of Al-Mg-Mn-Sc-Zr Alloy Using CCD And RSM
Abstract Al-Mg-Mn-Sc-Zr alloy plates of 5mm thick were welded successfully using Friction stir welding (FSW). Three-factor five-level central composite design was adopted for experimentation. Response surface methodology (RSM) was employed to construct a mathematical regression model. Optimization of FSW process parameters obtained by using response surface plots for maximize hardness, tensile strength, %elongation, impact strength and bending strength, the results were validated with confirmation tests at identified optimum conditions.
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