Browse > Article
http://dx.doi.org/10.5302/J.ICROS.2009.15.9.916

Detection of Flip-chip Bonding Error Through Edge Size Extraction of X-ray Image  

Song, Chun-Sam (서울테크노파크 MSP센터)
Cho, Sung-Man (서울산업대학교 나노생산기술연구소)
Kim, Joon-Hyun (서울테크노파크 MSP센터)
Kim, Joo-Hyun (국민대학교 기계자동차공학부)
Kim, Min-young (경북대학교 전자전기컴퓨터학부)
Kim, Jong-Hyeong (서울산업대학교 기계설계자동화공학부)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.15, no.9, 2009 , pp. 916-921 More about this Journal
Abstract
The technology to inspect and measure an inner structure of micro parts has become an important tool in the semi-conductor industrial field with the development of automation and precision manufacturing. Especially, the inspection skill on the inside of highly integrated electronic device becomes a key role in detecting defects of a completely assembled product. X-ray inspection technology has been focused as a main method to inspect the inside structure. However, there has been insufficient research done on the customized inspection technology for the flip-chip assembly due to the interior connecting part of flip chip which connects the die and PCB electrically through balls positioned on the die. In this study, therefore, it is implemented to detect shape error of flip chip bonding without damaging chips using an x-ray inspection system. At this time, it is able to monitor the solder bump shape by introducing an edge-extracting algorithm (exponential approximation function) according to the attenuating characteristic and detect shape error compared with CAD data. Additionally, the bonding error of solder bumps is automatically detectable by acquiring numerical size information at the extracted solder bump edges.
Keywords
flip-chip; X-ray; solder bump; nondestructive inspection;
Citations & Related Records

Times Cited By SCOPUS : 0
연도 인용수 순위
  • Reference
1 R. crane, A simplified approach to image processing: classical & modern techniques in C, Prentice Hall, Section 3. pp. 85-134, 1996
2 D. vernon, Machine vision: Automated visual inspection and robot vision, Prentice Hall, Section 5.3 pp. 90-99, 1991
3 S. M. Cho, 'X-ray image processing and pose estimation of polyhedral objects based on geometric features,' MA Science thesis, 2008
4 Y. K. Ryu and H. S. Cho, 'New optical measuring system for solder joint inspection,' Opctics and Lasers in Engineering, vol. 26, no.6, pp. 487-514, 1997   DOI   ScienceOn
5 J. H. Kim, H. S. Cho, and S. K. Kim, 'Visual measurement of a 3-D plane by a cylindrical structure light,' 93 Intelligent Robots and Systems, Yokohama, Japan, 1993
6 'Computed tomography details casting detects,' Advancede Materials & Process, pp. 54-66, Nov. 1990
7 K. W. Ko and H. S. Cho, 'Solder joint inspection using a neural network and fuzzy rule-based classification method,' IEEE Trans. On Electronics Packaging Manufacturing, vol. 23, no. 2, pp. 93-103, 2000   DOI   ScienceOn
8 J. A. Noble, R Gupta, 1. Mundy, A. Schmitz, and R. I. Hartely, 'High precision x-ray stereo for automated 3D CAD based inspection,' IEEE Trans. Robotics and Automation, vol. 14, no. 2, pp. 292-302, Apr. 1998   DOI   ScienceOn
9 R K. Ulrich and W. D. Brown, Advanced Electronic Packaging, 2nd Ed., Wiley-Interscience, 2006