{"title":"用RSM法优化MONEL 400与AISI 304异种焊缝TIG焊接参数","authors":"J. S. Gill, S. Jolly, C. S. Kalra","doi":"10.9790/1684-1404024148","DOIUrl":null,"url":null,"abstract":"In this experimental study, attempts have been made to model and optimize welding process parameters for welding dissimilar weld of MONEL 400 and AISI 304 based on Response Surface Methodology (RSM) by using statistical software, Design Expert (DX-6). Five independent input parameters, viz., welding current, V grove angle of joint, filler rod material, filler rod diameter and welding speed were performed to explore the influence on hardness and fatigue strength of joint. The regression equation, and ANOVA was developed using the experimental data and graphs were plotted to investigate the effect of process variables on response characteristics. Optimal setting for multi response characteristics means for both hardness and fatigue strength of welding joint are 124 amp welding current, 35 0 joint angle, 0.52 filler rod diameter, MONEL 400 filler rod and 3.40 mm/sec welding speed.","PeriodicalId":14565,"journal":{"name":"IOSR Journal of Mechanical and Civil Engineering","volume":"1 1","pages":"41-48"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi Response Optimization TIG welding parameters for dissimilar weld of MONEL 400 and AISI 304 using RSM\",\"authors\":\"J. S. Gill, S. Jolly, C. S. Kalra\",\"doi\":\"10.9790/1684-1404024148\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this experimental study, attempts have been made to model and optimize welding process parameters for welding dissimilar weld of MONEL 400 and AISI 304 based on Response Surface Methodology (RSM) by using statistical software, Design Expert (DX-6). Five independent input parameters, viz., welding current, V grove angle of joint, filler rod material, filler rod diameter and welding speed were performed to explore the influence on hardness and fatigue strength of joint. The regression equation, and ANOVA was developed using the experimental data and graphs were plotted to investigate the effect of process variables on response characteristics. Optimal setting for multi response characteristics means for both hardness and fatigue strength of welding joint are 124 amp welding current, 35 0 joint angle, 0.52 filler rod diameter, MONEL 400 filler rod and 3.40 mm/sec welding speed.\",\"PeriodicalId\":14565,\"journal\":{\"name\":\"IOSR Journal of Mechanical and Civil Engineering\",\"volume\":\"1 1\",\"pages\":\"41-48\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IOSR Journal of Mechanical and Civil Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.9790/1684-1404024148\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IOSR Journal of Mechanical and Civil Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9790/1684-1404024148","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi Response Optimization TIG welding parameters for dissimilar weld of MONEL 400 and AISI 304 using RSM
In this experimental study, attempts have been made to model and optimize welding process parameters for welding dissimilar weld of MONEL 400 and AISI 304 based on Response Surface Methodology (RSM) by using statistical software, Design Expert (DX-6). Five independent input parameters, viz., welding current, V grove angle of joint, filler rod material, filler rod diameter and welding speed were performed to explore the influence on hardness and fatigue strength of joint. The regression equation, and ANOVA was developed using the experimental data and graphs were plotted to investigate the effect of process variables on response characteristics. Optimal setting for multi response characteristics means for both hardness and fatigue strength of welding joint are 124 amp welding current, 35 0 joint angle, 0.52 filler rod diameter, MONEL 400 filler rod and 3.40 mm/sec welding speed.
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