{"title":"粗糙表面趋肤效应的物理模型","authors":"G. Gold, K. Helmreich","doi":"10.23919/EUMC.2012.6459235","DOIUrl":null,"url":null,"abstract":"Insertion loss measured on PCB transmission lines operated in the two-digit Gigahertz range yields responses that exceed those simulated with geometry and material parameters. At such frequencies, the loss due to skin effect can no more be calculated assuming perfectly smooth conductor surfaces, as the skin depth would reach and fall below the dimension of surface roughness. Various phenomenological and topological models have been presented to account for this issue. Phenomenological models tend to need additional parameters to correct for new materials and frequency ranges, while topological models inherently use many parameters and often require significant computation effort. As an alternative, this paper suggests a comprehensive, single-parameter and fast computable physical model that accurately predicts measured responses.","PeriodicalId":243164,"journal":{"name":"2012 7th European Microwave Integrated Circuit Conference","volume":"100 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"42","resultStr":"{\"title\":\"A physical model for skin effect in rough surfaces\",\"authors\":\"G. Gold, K. Helmreich\",\"doi\":\"10.23919/EUMC.2012.6459235\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Insertion loss measured on PCB transmission lines operated in the two-digit Gigahertz range yields responses that exceed those simulated with geometry and material parameters. At such frequencies, the loss due to skin effect can no more be calculated assuming perfectly smooth conductor surfaces, as the skin depth would reach and fall below the dimension of surface roughness. Various phenomenological and topological models have been presented to account for this issue. Phenomenological models tend to need additional parameters to correct for new materials and frequency ranges, while topological models inherently use many parameters and often require significant computation effort. As an alternative, this paper suggests a comprehensive, single-parameter and fast computable physical model that accurately predicts measured responses.\",\"PeriodicalId\":243164,\"journal\":{\"name\":\"2012 7th European Microwave Integrated Circuit Conference\",\"volume\":\"100 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"42\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 7th European Microwave Integrated Circuit Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/EUMC.2012.6459235\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 7th European Microwave Integrated Circuit Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/EUMC.2012.6459235","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A physical model for skin effect in rough surfaces
Insertion loss measured on PCB transmission lines operated in the two-digit Gigahertz range yields responses that exceed those simulated with geometry and material parameters. At such frequencies, the loss due to skin effect can no more be calculated assuming perfectly smooth conductor surfaces, as the skin depth would reach and fall below the dimension of surface roughness. Various phenomenological and topological models have been presented to account for this issue. Phenomenological models tend to need additional parameters to correct for new materials and frequency ranges, while topological models inherently use many parameters and often require significant computation effort. As an alternative, this paper suggests a comprehensive, single-parameter and fast computable physical model that accurately predicts measured responses.