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Published in: The International Journal of Advanced Manufacturing Technology 12/2024

05-03-2024 | ORIGINAL ARTICLE

Advancing surface mount technology quality: a computer-assisted approach for enhanced X-ray inspection of solder joints

Authors: Nathália Mattos Terra, Sandro Breval Santiago, Adalena Kennedy Vieira, Raimundo Kennedy Vieira

Published in: The International Journal of Advanced Manufacturing Technology | Issue 12/2024

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Abstract

With the constant advancement of electronic science and technology, accurate failure analysis has become crucial to meeting stringent quality standards in surface mount (SMT) products. Reflow soldering is commonly used in the SMT industry due to its efficiency and low failure rate. However, visual inspection is limited, especially for ball grid array (BGA) joints, requiring X-ray techniques for complete, non-destructive analysis. Although X-ray image analysis algorithms have been employed to improve defect detection, some still need to meet quality requirements, resulting in additional manual inspections. The high dimensionality and variations in X-ray images present additional challenges for detection algorithms. This study proposes a new computer-assisted inspection approach to accurately detect flaws in solder joints of SMD components using an X-ray scanning system. This approach aims to improve image interpretation and reduce workload manual. X-ray technology applied to BGA seeks to improve the accuracy of image analysis, enabling the detection of various faults, such as BGA ball connections, interconnections on printed circuit boards, and filling faults.

Graphical Abstract

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Metadata
Title
Advancing surface mount technology quality: a computer-assisted approach for enhanced X-ray inspection of solder joints
Authors
Nathália Mattos Terra
Sandro Breval Santiago
Adalena Kennedy Vieira
Raimundo Kennedy Vieira
Publication date
05-03-2024
Publisher
Springer London
Published in
The International Journal of Advanced Manufacturing Technology / Issue 12/2024
Print ISSN: 0268-3768
Electronic ISSN: 1433-3015
DOI
https://doi.org/10.1007/s00170-024-13343-y

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