B. Rosario, J. Holyoak, Mohsen Haji-Rahim, Gene Lambird, Y. Wang, Kendra Lyons, T. Johnson, P. Makowenskyj, Brian T. Myers, S. Pan
{"title":"降低铜柱倒装故障率的研究","authors":"B. Rosario, J. Holyoak, Mohsen Haji-Rahim, Gene Lambird, Y. Wang, Kendra Lyons, T. Johnson, P. Makowenskyj, Brian T. Myers, S. Pan","doi":"10.4071/2380-4505-2019.1.000100","DOIUrl":null,"url":null,"abstract":"\n Cu pillar flip-chip die technology has proved reliable and is widely used in chip-to-package mobile module products. There was a time when customers considered 500ppm (Parts per million) an acceptable defect rate. Now, tier 1 customers expect a defect rate of less than 50ppm. This high customer expectation drove this in-depth research and problem solve. Our main work includes: 1) Mapping and analyzing initial defects. 2) Developing an effective way to detect a low defect rate. 3) 3D mechanical modeling that focuses on multiple failure interfaces and modes. 4) Simulating stress factors and their impacts. 5) Verifying hypothesis with assembly design of experiment (DOE) and ultimately improved yield.","PeriodicalId":14363,"journal":{"name":"International Symposium on Microelectronics","volume":"48 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study to Lower Cu Pillar Flip-Chip Failure Rate\",\"authors\":\"B. Rosario, J. Holyoak, Mohsen Haji-Rahim, Gene Lambird, Y. Wang, Kendra Lyons, T. Johnson, P. Makowenskyj, Brian T. Myers, S. Pan\",\"doi\":\"10.4071/2380-4505-2019.1.000100\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n Cu pillar flip-chip die technology has proved reliable and is widely used in chip-to-package mobile module products. There was a time when customers considered 500ppm (Parts per million) an acceptable defect rate. Now, tier 1 customers expect a defect rate of less than 50ppm. This high customer expectation drove this in-depth research and problem solve. Our main work includes: 1) Mapping and analyzing initial defects. 2) Developing an effective way to detect a low defect rate. 3) 3D mechanical modeling that focuses on multiple failure interfaces and modes. 4) Simulating stress factors and their impacts. 5) Verifying hypothesis with assembly design of experiment (DOE) and ultimately improved yield.\",\"PeriodicalId\":14363,\"journal\":{\"name\":\"International Symposium on Microelectronics\",\"volume\":\"48 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Symposium on Microelectronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4071/2380-4505-2019.1.000100\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on Microelectronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4071/2380-4505-2019.1.000100","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cu pillar flip-chip die technology has proved reliable and is widely used in chip-to-package mobile module products. There was a time when customers considered 500ppm (Parts per million) an acceptable defect rate. Now, tier 1 customers expect a defect rate of less than 50ppm. This high customer expectation drove this in-depth research and problem solve. Our main work includes: 1) Mapping and analyzing initial defects. 2) Developing an effective way to detect a low defect rate. 3) 3D mechanical modeling that focuses on multiple failure interfaces and modes. 4) Simulating stress factors and their impacts. 5) Verifying hypothesis with assembly design of experiment (DOE) and ultimately improved yield.