• Title/Summary/Keyword: Problematic Bubble

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A Problematic Bubble Detection Algorithm for Conformal Coated PCB Using Convolutional Neural Networks (합성곱 신경망을 이용한 컨포멀 코팅 PCB에 발생한 문제성 기포 검출 알고리즘)

  • Lee, Dong Hee;Cho, SungRyung;Jung, Kyeong-Hoon;Kang, Dong Wook
    • Journal of Broadcast Engineering
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    • v.26 no.4
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    • pp.409-418
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    • 2021
  • Conformal coating is a technology that protects PCB(Printed Circuit Board) and minimizes PCB failures. Since the defects in the coating are linked to failure of the PCB, the coating surface is examined for air bubbles to satisfy the successful conditions of the conformal coating. In this paper, we propose an algorithm for detecting problematic bubbles in high-risk groups by applying image signal processing. The algorithm consists of finding candidates for problematic bubbles and verifying candidates. Bubbles do not appear in visible light images, but can be visually distinguished from UV(Ultra Violet) light sources. In particular the center of the problematic bubble is dark in brightness and the border is high in brightness. In the paper, these brightness characteristics are called valley and mountain features, and the areas where both characteristics appear at the same time are candidates for problematic bubbles. However, it is necessary to verify candidates because there may be candidates who are not bubbles. In the candidate verification phase, we used convolutional neural network models, and ResNet performed best compared to other models. The algorithms presented in this paper showed the performance of precision 0.805, recall 0.763, and f1-score 0.767, and these results show sufficient potential for bubble test automation.

Investigation of decontamination characteristics of a serial multiple pool scrubber system for consequence mitigation of severe accidents

  • Hyeon Ho Byun;Man-Sung Yim
    • Nuclear Engineering and Technology
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    • v.54 no.12
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    • pp.4585-4600
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    • 2022
  • A pool scrubber is often used as a wet-type design to mitigate the consequence of a severe nuclear accident. While studies indicated higher decontamination performance of a deeper pool, utilizing a very tall pool can be problematic due to potential structural stability and water backflow issues. This study proposes, as an alternative to a single pool system, a pool scrubber system composed of serially connected multiple pools with lower heights. Since large fraction of aerosol removal takes place in the injection region, serially connected pool scrubber system is expected to enhance the overall decontamination capability of a pool scrubber system. To support the analysis of the proposed system's decontamination capability, a new computer model was developed in the study to describe the bubble size dependent effect on aerosol removal including the effect of pool residence time. The accuracy of the new model was examined against experimental data for its validation. The proposed scrubber system composed of serially connected multiple shorter pools is found to have much improved decontamination performance over the current single pool system design.