DocumentCode
442203
Title
Detection of defects at BGA solder joints by using X-ray imaging
Author
Ma, Ji-Quan ; Kong, Fan-Hui ; Ma, Pei-Jun ; Su, Xiao-Hong
Author_Institution
Dept. of Comput. Sci. & Technol., Heilongjiang Univ., Harbin, China
Volume
8
fYear
2005
fDate
18-21 Aug. 2005
Firstpage
5139
Abstract
Continual increases in IC-chip complexity and performance are placing demands on the density and functionality of package I/Os. Therefore, various SMT interconnection techniques are being developed to satisfy this need, including ball-grid-array (BGA). BGA has been used in a production of PCB (printed circuit board), because of their excellent characters such as high density of the lead pin pitch that can achieve a density of 400 I/Os per square inch. This paper deals with the detection of defects at BGA solder joints in PC boards by using X-ray imaging. It is possible to detect defects of solder joints by visual inspection, but only techniques utilizing X-ray could possibly inspect all BGA joints within the area array because they are hidden under the IC package. In traditional production, the inspection of BGA depends on the function test of electric circuits or boundary lighted inspection. Now with the employment of X-ray in solder joints inspection, it becomes very important about the detecting algorithm based on X-ray imaging. This paper discusses the flow of detecting defects based on the X-ray imaging and describes an approach to automatic inspection of BGA solder joint defects by using seed filling and contour extracting. Experimental results reveal that the proposed method shows practical usefulness in BGA solder joints inspection.
Keywords
X-ray imaging; automatic optical inspection; ball grid arrays; printed circuit manufacture; soldering; BGA solder joint inspection; X-ray imaging; ball-grid-array; contour extraction; defect detection; printed circuit board; seed filling; Ball grid array; Inspection; PCB; Solder joints; X-ray;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location
Guangzhou, China
Print_ISBN
0-7803-9091-1
Type
conf
DOI
10.1109/ICMLC.2005.1527849
Filename
1527849
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