{"title":"3D打印/3D打印硬件的自动化测试和质量保证:用于质量保证和网络安全目的的评估","authors":"J. Straub","doi":"10.1109/AUTEST.2016.7589613","DOIUrl":null,"url":null,"abstract":"This paper discusses the automation of quality assurance and produced part testing for additive manufacturing systems. The process of identifying defects, determining their impact and potentially taking corrective action is discussed. Algorithms for this purposes are presented. Examples of assessment are considered. The correction of both incidental and deliberately introduced defects is discussed.","PeriodicalId":314357,"journal":{"name":"2016 IEEE AUTOTESTCON","volume":"61 39","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Automated testing and quality assurance of 3D printing/3D printed hardware: Assessment for quality assurance and cybersecurity purposes\",\"authors\":\"J. Straub\",\"doi\":\"10.1109/AUTEST.2016.7589613\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper discusses the automation of quality assurance and produced part testing for additive manufacturing systems. The process of identifying defects, determining their impact and potentially taking corrective action is discussed. Algorithms for this purposes are presented. Examples of assessment are considered. The correction of both incidental and deliberately introduced defects is discussed.\",\"PeriodicalId\":314357,\"journal\":{\"name\":\"2016 IEEE AUTOTESTCON\",\"volume\":\"61 39\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE AUTOTESTCON\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AUTEST.2016.7589613\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE AUTOTESTCON","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AUTEST.2016.7589613","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automated testing and quality assurance of 3D printing/3D printed hardware: Assessment for quality assurance and cybersecurity purposes
This paper discusses the automation of quality assurance and produced part testing for additive manufacturing systems. The process of identifying defects, determining their impact and potentially taking corrective action is discussed. Algorithms for this purposes are presented. Examples of assessment are considered. The correction of both incidental and deliberately introduced defects is discussed.