{"title":"MCDM/MADM方法熵- topsis在AA6061车削中的应用","authors":"Ch. Maheswara Rao, B. Kumar, K. Subbaiah","doi":"10.51976/ijari.922120","DOIUrl":null,"url":null,"abstract":"In the present work, an experimental investigation has been conducted to optimize the cutting parameters during turning of AA6061-T6 on Lathe in dry conditions. CVD made coated carbide inserts (WEDIA CNMG 120404, CNMG 120408) are used as cutting tools. Cutting speed (1000, 2000, 3000, 4000 RPM), feed (0.05, 0.1, 0.15, 0.2 mm/rev), depth of cut (0.5, 1, 1.5, 2 mm) and Nose radius (0.4, 0.8 mm) were considered as fixed parameters. A mixed level orthogonal array (L16) from taguchi has been adopted for the experiments. The multiple performances of Material Removal rate (MRR) and Roughness characteristics (Ra and Rz) were optimized by a hybrid Entropy-TOPSIS approach. The results revealed that the nose radius has the most predominant effect on the multiple responses.","PeriodicalId":330303,"journal":{"name":"International Journal of Advance Research and Innovation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Application of MCDM/MADM Approach Entropy-TOPSIS in Turning of AA6061\",\"authors\":\"Ch. Maheswara Rao, B. Kumar, K. Subbaiah\",\"doi\":\"10.51976/ijari.922120\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the present work, an experimental investigation has been conducted to optimize the cutting parameters during turning of AA6061-T6 on Lathe in dry conditions. CVD made coated carbide inserts (WEDIA CNMG 120404, CNMG 120408) are used as cutting tools. Cutting speed (1000, 2000, 3000, 4000 RPM), feed (0.05, 0.1, 0.15, 0.2 mm/rev), depth of cut (0.5, 1, 1.5, 2 mm) and Nose radius (0.4, 0.8 mm) were considered as fixed parameters. A mixed level orthogonal array (L16) from taguchi has been adopted for the experiments. The multiple performances of Material Removal rate (MRR) and Roughness characteristics (Ra and Rz) were optimized by a hybrid Entropy-TOPSIS approach. The results revealed that the nose radius has the most predominant effect on the multiple responses.\",\"PeriodicalId\":330303,\"journal\":{\"name\":\"International Journal of Advance Research and Innovation\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Advance Research and Innovation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.51976/ijari.922120\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Advance Research and Innovation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.51976/ijari.922120","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of MCDM/MADM Approach Entropy-TOPSIS in Turning of AA6061
In the present work, an experimental investigation has been conducted to optimize the cutting parameters during turning of AA6061-T6 on Lathe in dry conditions. CVD made coated carbide inserts (WEDIA CNMG 120404, CNMG 120408) are used as cutting tools. Cutting speed (1000, 2000, 3000, 4000 RPM), feed (0.05, 0.1, 0.15, 0.2 mm/rev), depth of cut (0.5, 1, 1.5, 2 mm) and Nose radius (0.4, 0.8 mm) were considered as fixed parameters. A mixed level orthogonal array (L16) from taguchi has been adopted for the experiments. The multiple performances of Material Removal rate (MRR) and Roughness characteristics (Ra and Rz) were optimized by a hybrid Entropy-TOPSIS approach. The results revealed that the nose radius has the most predominant effect on the multiple responses.