{"title":"田口法车削Al-7075合金的参数优化试验研究","authors":"G. B. Reddy","doi":"10.9790/1684-1403063945","DOIUrl":null,"url":null,"abstract":"Turning is a machining process in which a cutting tool, commonly a non-rotary tool bit, exhibits a helical path on work piece material. The conventional metal removal process always influenced by the parameters such as, material machinability, cutting tool material, cutting speed and spindle speed, depth of cut, feed rate, tool geometry, and coolant. Optimizing these parameters is a daedal thing so that, Signal to noise (S/N), Analysis of variance (ANOVA) and Taguchi method using statistical software MINITAB are striving to solve these problems in the present scenario. The present paper is aimed at investigating parametric optimization of turning of 7075 Aluminium alloy using Taguchi L27 orthogonal array was employed for both Design of Experiment (DOE) and Signal to noise ratio (S/N) to analyze the effects of the selected parameters. The result demonstrates there are different effects of cutting parameters on cutting force, surface roughness and temperature for two samples and compared the samples. Furthermore, surface morphology of the machined specimen is obtained through SEM analysis. This work can be use full to determine the optimum cutting parameters for better machinability.","PeriodicalId":14565,"journal":{"name":"IOSR Journal of Mechanical and Civil Engineering","volume":"1 1","pages":"39-45"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Parametric Optimization of Lathe Turning for Al-7075 Alloy Using Taguchi: An Experimental Study\",\"authors\":\"G. B. Reddy\",\"doi\":\"10.9790/1684-1403063945\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Turning is a machining process in which a cutting tool, commonly a non-rotary tool bit, exhibits a helical path on work piece material. The conventional metal removal process always influenced by the parameters such as, material machinability, cutting tool material, cutting speed and spindle speed, depth of cut, feed rate, tool geometry, and coolant. Optimizing these parameters is a daedal thing so that, Signal to noise (S/N), Analysis of variance (ANOVA) and Taguchi method using statistical software MINITAB are striving to solve these problems in the present scenario. The present paper is aimed at investigating parametric optimization of turning of 7075 Aluminium alloy using Taguchi L27 orthogonal array was employed for both Design of Experiment (DOE) and Signal to noise ratio (S/N) to analyze the effects of the selected parameters. The result demonstrates there are different effects of cutting parameters on cutting force, surface roughness and temperature for two samples and compared the samples. Furthermore, surface morphology of the machined specimen is obtained through SEM analysis. This work can be use full to determine the optimum cutting parameters for better machinability.\",\"PeriodicalId\":14565,\"journal\":{\"name\":\"IOSR Journal of Mechanical and Civil Engineering\",\"volume\":\"1 1\",\"pages\":\"39-45\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IOSR Journal of Mechanical and Civil Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.9790/1684-1403063945\",\"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/10.9790/1684-1403063945","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parametric Optimization of Lathe Turning for Al-7075 Alloy Using Taguchi: An Experimental Study
Turning is a machining process in which a cutting tool, commonly a non-rotary tool bit, exhibits a helical path on work piece material. The conventional metal removal process always influenced by the parameters such as, material machinability, cutting tool material, cutting speed and spindle speed, depth of cut, feed rate, tool geometry, and coolant. Optimizing these parameters is a daedal thing so that, Signal to noise (S/N), Analysis of variance (ANOVA) and Taguchi method using statistical software MINITAB are striving to solve these problems in the present scenario. The present paper is aimed at investigating parametric optimization of turning of 7075 Aluminium alloy using Taguchi L27 orthogonal array was employed for both Design of Experiment (DOE) and Signal to noise ratio (S/N) to analyze the effects of the selected parameters. The result demonstrates there are different effects of cutting parameters on cutting force, surface roughness and temperature for two samples and compared the samples. Furthermore, surface morphology of the machined specimen is obtained through SEM analysis. This work can be use full to determine the optimum cutting parameters for better machinability.