{"title":"陶瓷磨削加工速度预测建模研究","authors":"Jianzhong Li, R. Shan, Yuhui Zhao, Zuyuan Yu","doi":"10.1109/CSAE.2011.5952631","DOIUrl":null,"url":null,"abstract":"This paper presents a predictive modeling of machining speed in the process of ceramics grinding based on the theory of indentation, ideal grinding grain shape, wheel microstructure and dynamic effects. Machining parameters such as grinding force, wheel rotation speed and the depth of cut are included in this model. A series of experiments have been carried out to verify this model. It was found that the theoretical analysis agrees reasonably with the experimental results.","PeriodicalId":138215,"journal":{"name":"2011 IEEE International Conference on Computer Science and Automation Engineering","volume":"117 12","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study of predictive modeling of machining speed in ceramics grinding\",\"authors\":\"Jianzhong Li, R. Shan, Yuhui Zhao, Zuyuan Yu\",\"doi\":\"10.1109/CSAE.2011.5952631\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a predictive modeling of machining speed in the process of ceramics grinding based on the theory of indentation, ideal grinding grain shape, wheel microstructure and dynamic effects. Machining parameters such as grinding force, wheel rotation speed and the depth of cut are included in this model. A series of experiments have been carried out to verify this model. It was found that the theoretical analysis agrees reasonably with the experimental results.\",\"PeriodicalId\":138215,\"journal\":{\"name\":\"2011 IEEE International Conference on Computer Science and Automation Engineering\",\"volume\":\"117 12\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Conference on Computer Science and Automation Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSAE.2011.5952631\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Computer Science and Automation Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSAE.2011.5952631","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study of predictive modeling of machining speed in ceramics grinding
This paper presents a predictive modeling of machining speed in the process of ceramics grinding based on the theory of indentation, ideal grinding grain shape, wheel microstructure and dynamic effects. Machining parameters such as grinding force, wheel rotation speed and the depth of cut are included in this model. A series of experiments have been carried out to verify this model. It was found that the theoretical analysis agrees reasonably with the experimental results.