DOI QR코드

DOI QR Code

Inspection method of BGA Ball Using 5-step Ring Illumination

5층 링 조명에 의한 BGA 볼의 검사 방법

  • Kim, Jong Hyeong (Department of Mechanical System Design Engineering, Seoul National University of Science and Technology) ;
  • Nguyen, Chanh D.Tr. (Division of Mechanical Engineering, KAIST)
  • 김종형 (서울과학기술대학교 기계시스템디자인공학과) ;
  • Received : 2015.08.24
  • Accepted : 2015.10.22
  • Published : 2015.12.01

Abstract

Fast inspection of solder ball bumps in ball grid array (BGA) is an important issue in the flip chip bonding technology. Particularly, semiconductor industry has required faster and more accurate inspection of micron-size solder bumps in flip chip bonding, as the density of balls increase dramatically. In this paper, we describe an inspection approach of BGA balls by using 5-step ring illumination device and normalized cross-correlation (NCC) method. The images of BGA ball by the illumination device show unique and distinguishable characteristic contours by their 3-D shapes, which are called as "iso-slope contours". Template images of reference ball samples can be produced artificially by the hybrid reflectance model and 3D data of balls. NCC values between test and template samples are very robust and reliable under well-structured condition. The 200 samples on real wafer are tested and show good practical feasibility of the proposed method.

Keywords

References

  1. David McCann 2012, Advanced Packaging and Progress in 3D Integration, The ConFab 2012 Conference.
  2. Shape Advanced Packaging and Progress in 3D Integration, The ConFab 2012 Conference.
  3. J. H. Kim, J. H. Kim, S. M. Cho, H. H. Shim, M. G. Ji, S. Shin, S. H. Han, and C. D. Tr. Nguyen, Study of 2D + 3D Visual Inspection for Tiny Object, Project Report: The Collaborative Research Program Among Industry, Academic and Research Institutes, 2012.
  4. J. H. Kim, S. Han, K. W. Koh, and K. C. Ko, "Development of 3-D Inspection Technology for Solder Paste Using PMP method," Journal of Korean Society of Precision Engineering, vol. 20, no. 10, pp. 12-21, 2003.
  5. D. J. Svetkoff, D. K. Rohner, D. A. Nohleti, and R. L. Jackson, "Method and system for triangulation-based, 3D imaging utilizing an angled scanning beam of radiant energy," U.S. Patent 5, pp. 617-209, 1997.
  6. P. Kim and Sehun Rhee, "Three-dimensional inspection of ball grid array using laser vision system," IEEE Transactions on Electronics Packaging Manufacturing, vol. 22, pp. 151-155, 1999. https://doi.org/10.1109/6104.778175
  7. M. Yu, G.-Y. Jiang, S.-L. He, B.-K. Yu, and R.-D. Fu, "New approach to vision-based BGA package inspection," Proc. of the First International Conference on Machine Learning and Cybernetics, vol. 2, pp. 1107-1110, 2002.
  8. K. W. Ko, H. S. Cho, J. H. Kim, and S. Kim, "Solder joint inspection using a neural network and fuzzy rule-based classification method," Journal of Control, Automation, and Systems Engineering (in Korean), vol. 6, no. 8, pp. 710-718, 2000.
  9. J. H. Kim, H. S. Cho, and S. Kim, "Pattern classification of solder joint images using a correlation neural network," Engineering Applications of Artificial Intelligence, vol. 9, no. 6, pp. 655-669, 1996. https://doi.org/10.1016/S0952-1976(96)00046-2
  10. J. H. Kim and H. S. Cho, "Neural network-based inspection of solder joints using a circular illumination," Image and Vision Computing, vol. 13, pp. 479-490, 1995. https://doi.org/10.1016/0262-8856(95)94381-9
  11. J. H. Kim, C. H. Kim, and H. S. Cho, "Obtaining shape of specular object using ring illumination," Journal of the Korean Society of Precision Engineering, vol. 2, pp. 78-87, 1995.
  12. C. Linder and F. Leon, "Model-based segmentation of surfaces using illumination series," IEEE Transactions on Instrumentation and Measurement, vol. 56, no. 4, pp. 1340-1346, 2007. https://doi.org/10.1109/TIM.2007.899913
  13. S. K. Nayer, A. C. Sanderson, L. E. Weiss, and D. D. Simmon, "Specular surface inspection using structured highlight and Gaussian image," IEEE Trans, on Robotics and Automation, vol. 6, no. 2, pp. 208-218, 1990. https://doi.org/10.1109/70.54736
  14. S. K. Nayar, K. Ikeuchi, and T. Kanade, "Surface reflection: Physical and geometrical perspective," IEEE Trans. Pattern Analysic Mach. Intell., vol. 13, pp. 611-634, 1991. https://doi.org/10.1109/34.85654
  15. S. K. Nayar, K. Ikeuchi, and T. Kanade, "Determining shape and reflectance of hybrid surface by photometric sampling," IEEE Trans. on Robotics and Automation, vol. 6, pp. 418-431, 1990. https://doi.org/10.1109/70.59367
  16. J. H. Kim and C. D. Tr. Nguyen, "Shape recognition of a BGA ball using ring illumination," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 19, no. 11, pp. 960-967, 2013. https://doi.org/10.5302/J.ICROS.2013.13.9029
  17. C. S. Song, S. M. Cho, J. H. Kim, J. H. Kim, and J. H. Kim, "Detection of flip-chip bonding error through edge size extraction of X-ray image," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 15, no. 9, pp. 916-921, 2009. https://doi.org/10.5302/J.ICROS.2009.15.9.916
  18. K. W. Ko, H. S. Cho, J. H. Kim, and H. C. Kim, "Hybrid neural network based BGA Solder joint inspection using digital tomosynthesis," Journal of Control, Automation, and Systems Engineering (in Korean), vol. 7, no. 3, pp. 246-255, 2001.
  19. I. D. Yun, E. Jung, and S. U. Lee, "On the fast shape recovery technique using multiple ring lights," Pattern Recognition, vol. 30, pp. 883-893, 1997. https://doi.org/10.1016/S0031-3203(96)00096-9
  20. Y. J. Roh, H. S. Cho, H. C. Kim, and J. H. Kim, "Three dimensional volume reconstruction of an object from X-ray images using uniform and simultaneous ART," Journal of Control Robotics and Systems, vol. 8, no. 1, pp. 21-27, 2002. https://doi.org/10.5302/J.ICROS.2002.8.1.021
  21. H. M. Kim, S. M. Seong, and K. Kang, "A statistical analysis method for image processing errors in the position alignment of BGA-type semiconductor packages," Journal of Control Robotics and Systems (in Korean), vol. 19, no. 11, pp. 984-990, 2013. https://doi.org/10.5302/J.ICROS.2013.13.9033