{"title":"采用响应面方法和可取性方法对 12 级钛的线切割加工进行参数研究","authors":"Debal Pramanik, B. Panja, Sudip Banerjee","doi":"10.1680/jemmr.22.00192","DOIUrl":null,"url":null,"abstract":"Present experimental study aims to scrutinize the effect of different process parameters on material removal rate (MRR) and surface roughness (SR) of titanium grade 12 alloy during wire electro discharge machining (WEDM) using response surface methodology (RSM). Four parameters (pulse on time, pulse off time, wire feed, and gap voltage) and three levels of each selected variables are considered to conduct the experimental work. Depending on experimental results, mathematical model is generated for both MRR and SR. Analysis of variance (ANOVA) study is performed to find significant process parameters. ANOVA results yield that developed models for both MRR and SR are significant and pulse-on time is found to be the most significant parameter. Additionally, help of desirability approach is also taken to scrutinize single-objective and multi-objective criterion of response variables. Desirability function for all the cases are found to be 1. Maximum material removal rate is observed as 12.4845 mm3/sec while minimum value of surface roughness is found as 1.4911 μm. For multi-objective optimization, maximum value of MRR and minimum value of surface roughness are obtained as 12.0942 mm3/min and 1.7167 μm respectively. Finally, surface morphology of machined surfaces is examined using SEM micrographs.","PeriodicalId":11537,"journal":{"name":"Emerging Materials Research","volume":" 6","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Parametric study of WEDM on titanium grade 12 using response surface methodology and desirability approach\",\"authors\":\"Debal Pramanik, B. Panja, Sudip Banerjee\",\"doi\":\"10.1680/jemmr.22.00192\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Present experimental study aims to scrutinize the effect of different process parameters on material removal rate (MRR) and surface roughness (SR) of titanium grade 12 alloy during wire electro discharge machining (WEDM) using response surface methodology (RSM). Four parameters (pulse on time, pulse off time, wire feed, and gap voltage) and three levels of each selected variables are considered to conduct the experimental work. Depending on experimental results, mathematical model is generated for both MRR and SR. Analysis of variance (ANOVA) study is performed to find significant process parameters. ANOVA results yield that developed models for both MRR and SR are significant and pulse-on time is found to be the most significant parameter. Additionally, help of desirability approach is also taken to scrutinize single-objective and multi-objective criterion of response variables. Desirability function for all the cases are found to be 1. Maximum material removal rate is observed as 12.4845 mm3/sec while minimum value of surface roughness is found as 1.4911 μm. For multi-objective optimization, maximum value of MRR and minimum value of surface roughness are obtained as 12.0942 mm3/min and 1.7167 μm respectively. Finally, surface morphology of machined surfaces is examined using SEM micrographs.\",\"PeriodicalId\":11537,\"journal\":{\"name\":\"Emerging Materials Research\",\"volume\":\" 6\",\"pages\":\"\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2023-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Emerging Materials Research\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://doi.org/10.1680/jemmr.22.00192\",\"RegionNum\":4,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MATERIALS SCIENCE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Emerging Materials Research","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1680/jemmr.22.00192","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
Parametric study of WEDM on titanium grade 12 using response surface methodology and desirability approach
Present experimental study aims to scrutinize the effect of different process parameters on material removal rate (MRR) and surface roughness (SR) of titanium grade 12 alloy during wire electro discharge machining (WEDM) using response surface methodology (RSM). Four parameters (pulse on time, pulse off time, wire feed, and gap voltage) and three levels of each selected variables are considered to conduct the experimental work. Depending on experimental results, mathematical model is generated for both MRR and SR. Analysis of variance (ANOVA) study is performed to find significant process parameters. ANOVA results yield that developed models for both MRR and SR are significant and pulse-on time is found to be the most significant parameter. Additionally, help of desirability approach is also taken to scrutinize single-objective and multi-objective criterion of response variables. Desirability function for all the cases are found to be 1. Maximum material removal rate is observed as 12.4845 mm3/sec while minimum value of surface roughness is found as 1.4911 μm. For multi-objective optimization, maximum value of MRR and minimum value of surface roughness are obtained as 12.0942 mm3/min and 1.7167 μm respectively. Finally, surface morphology of machined surfaces is examined using SEM micrographs.
期刊介绍:
Materials Research is constantly evolving and correlations between process, structure, properties and performance which are application specific require expert understanding at the macro-, micro- and nano-scale. The ability to intelligently manipulate material properties and tailor them for desired applications is of constant interest and challenge within universities, national labs and industry.