{"title":"Mathematical modeling of the parameters of accuracy multilayer printed wiring boards","authors":"V. I. Ievlev, N. Smirnov","doi":"10.1109/APEDE.2016.7878999","DOIUrl":null,"url":null,"abstract":"Accuracy analysis of the basic geometrical parameters of multilayer printed wiring boards (ML-PWB) is considered. It is emphasized that ML-PWB, in contrast to many types of instrument making products may contain thousands of holes, and surrounding the contact pads on the accuracy of manufacturing which are increased requirements. The theoretical distribution laws (Gauss, Pearson, etc.) are considered as mathematical models of production errors. The calculations of the probability of acceptance ML-PWB using various models are presented. The results can be used in the technological calculations of accuracy parameters of ML-PWB.","PeriodicalId":231207,"journal":{"name":"2016 International Conference on Actual Problems of Electron Devices Engineering (APEDE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Actual Problems of Electron Devices Engineering (APEDE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APEDE.2016.7878999","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Accuracy analysis of the basic geometrical parameters of multilayer printed wiring boards (ML-PWB) is considered. It is emphasized that ML-PWB, in contrast to many types of instrument making products may contain thousands of holes, and surrounding the contact pads on the accuracy of manufacturing which are increased requirements. The theoretical distribution laws (Gauss, Pearson, etc.) are considered as mathematical models of production errors. The calculations of the probability of acceptance ML-PWB using various models are presented. The results can be used in the technological calculations of accuracy parameters of ML-PWB.