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

机译:芯片附着的X射线图像的图像处理,用于自动检测和评估空隙

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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:本文的目的是提出一种自动检测和定位功率芯片的方法,该功率芯片焊接在DBC基板上,并且在芯片连接焊点中存在空隙。芯片定位的方法由应用于X射线图像的二维相关性提供。当检测到芯片位置时,可以检测到焊点中的空隙。进行此类分析非常重要,因为在焊接过程中,可能会在芯片附着中产生大量空隙和缺陷。接头质量的基本指标是芯片附着中空隙的数量和大小。焊点的质量取决于焊锡的均匀性,这对焊锡的关键性至关重要。通过图像处理技术(例如滤波,高能归一化,阈值化和图像增强)可以自动检测芯片附着中的芯片和空隙。本文介绍了更多焊料合金(99.9Sn,SnCu3In0.5、96Sn4Ag,99Sn1Ag)的分析结果。本文为焊点的X射线图像中的空隙的自动检测和评估提供了有效而精确的方法。

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