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Image processing of die attach's X-ray images for automatic voids detection and evaluation

机译:模具附着的X射线图像的图像处理,用于自动空隙检测和评估

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The goal of this paper is to present the method for automatic detection and location of power chip, which is soldered on DBC substrate, and voids in die attach solder joint. The method of chip location is provided by two dimension correlation applied on X-Ray images. When chip location is detected, voids in solder joints can be detected. It is very important to make such analysis, because during soldering process lot of voids and defects in die attach can occur. Basic indicator of joints' quality is quantity and size of voids in die attach. Quality of solder joints depends on homogeneity of solder, which have the crucial effect on it. Automatic detection of chip and voids in die attach is achieved by techniques of image processing like filtering, energetic normalization, thresholding and image enhancement. In the paper, results of analyses of more solder alloy (99.9Sn, SnCu3In0.5, 96Sn4Ag, 99Sn1Ag) are presented. This paper offers the effective and precise method for automatic detection and evaluation of the voids from X-Ray images of solder joint.
机译:本文的目的是介绍用于自动检测和电力芯片位置的方法,该方法在DBC衬底上焊接,并在模具附着焊点中的空隙。芯片位置的方法由X射线图像上施加的两个维度相关提供。当检测到芯片位置时,可以检测焊点中的空隙。做出这样的分析非常重要,因为在焊接过程中可能发生在焊接过程中,可以发生模具附着的空隙和缺陷。关节质量的基本指标是模具附加空隙的数量和大小。焊点的质量取决于焊料的均匀性,对其具有至关重要的影响。通过图像处理的技术,如滤波,能量归一化,阈值和图像增强技术,实现了模具附着中的芯片和空隙的自动检测。在本文中,提出了更多焊料合金的分析结果(99.9sn,sncu3in0.5,96sn4ag,99sn1ag)。本文提供了从焊接接头X射线图像自动检测和评估空隙的有效和精确的方法。

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