R. Kumaravelan, P. Srinivasan, P. Tamilselvam, M. Madhan
{"title":"强化现有方法,在不离散化的情况下提高DFM","authors":"R. Kumaravelan, P. Srinivasan, P. Tamilselvam, M. Madhan","doi":"10.4103/0976-8580.99295","DOIUrl":null,"url":null,"abstract":"In the design for manufacturing, mesh generation is a time-consuming and expensive process in the assembly and solution of the finite element equations. The conversion of solid models to finite element data is also time-consuming and often introduces numerous ambiguities. In this study, a new mesh-less method has been proposed for analyzing the plane stress problems. The Moving Least Squares (MLS) approximation has been used in generating the shape function. The results obtained by the proposed method have been compared with the analytical solution and finite element method (FEM) results. The proposed method gives more accurate results than the finite element approximation, with less computational effort.","PeriodicalId":53400,"journal":{"name":"Pakistan Journal of Engineering Technology","volume":"10 1","pages":"87"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Intensification of the Subsisting Methodology to Enhance DFM without Discretization\",\"authors\":\"R. Kumaravelan, P. Srinivasan, P. Tamilselvam, M. Madhan\",\"doi\":\"10.4103/0976-8580.99295\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the design for manufacturing, mesh generation is a time-consuming and expensive process in the assembly and solution of the finite element equations. The conversion of solid models to finite element data is also time-consuming and often introduces numerous ambiguities. In this study, a new mesh-less method has been proposed for analyzing the plane stress problems. The Moving Least Squares (MLS) approximation has been used in generating the shape function. The results obtained by the proposed method have been compared with the analytical solution and finite element method (FEM) results. The proposed method gives more accurate results than the finite element approximation, with less computational effort.\",\"PeriodicalId\":53400,\"journal\":{\"name\":\"Pakistan Journal of Engineering Technology\",\"volume\":\"10 1\",\"pages\":\"87\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Pakistan Journal of Engineering Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4103/0976-8580.99295\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pakistan Journal of Engineering Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/0976-8580.99295","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intensification of the Subsisting Methodology to Enhance DFM without Discretization
In the design for manufacturing, mesh generation is a time-consuming and expensive process in the assembly and solution of the finite element equations. The conversion of solid models to finite element data is also time-consuming and often introduces numerous ambiguities. In this study, a new mesh-less method has been proposed for analyzing the plane stress problems. The Moving Least Squares (MLS) approximation has been used in generating the shape function. The results obtained by the proposed method have been compared with the analytical solution and finite element method (FEM) results. The proposed method gives more accurate results than the finite element approximation, with less computational effort.