{"title":"Performance Evaluation of Electrical Discharge Abrasive Grinding Process using Grinding Ratio","authors":"Pushpendra Singh, A. K. Dubey, P. Shrivastava","doi":"10.1109/SMART46866.2019.9117443","DOIUrl":null,"url":null,"abstract":"The high grinding ratio (GR) is one of the most desirable quality parameter in any grinding process. People are trying to improve the performance of grinding by combining it with other processes. Electrical discharge machining (EDM) is a process that has been adopted to develop hybrid variant of grinding. In the present research a combined process of grinding and EDM has been performed in high speed steel. The GR has been evaluated by varying different EDM and grinding parameters. Further, the process prediction and optimization of GR has been done by applying advanced artificial intelligence based technique. Optimization result elucidates significant improvement in GR.","PeriodicalId":328124,"journal":{"name":"2019 8th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 8th International Conference System Modeling and Advancement in Research Trends (SMART)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMART46866.2019.9117443","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The high grinding ratio (GR) is one of the most desirable quality parameter in any grinding process. People are trying to improve the performance of grinding by combining it with other processes. Electrical discharge machining (EDM) is a process that has been adopted to develop hybrid variant of grinding. In the present research a combined process of grinding and EDM has been performed in high speed steel. The GR has been evaluated by varying different EDM and grinding parameters. Further, the process prediction and optimization of GR has been done by applying advanced artificial intelligence based technique. Optimization result elucidates significant improvement in GR.