High Resolution Automatic X-Ray Inspection for Continuous Monitoring of Advanced Package Assembly

Scott J. Jewler
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引用次数: 2

Abstract

At the same time that IC packaging interconnect is being driven towards higher density and more solder connections, the market's tolerance for defective materials is rapidly disappearing. Existing techniques for inspecting solder joints inside of packages such as cross sectioning and conventional high-resolution X-ray are time consuming and impractical for 100% monitoring and process feedback. A novel X-ray system architecture combined with advanced machine learning algorithms enables high speed automated inspection of complex IC package structures. Just as Automated Optical Inspection (AOI) has been widely deployed for visible structures and Automated X-ray Inspection (AXI) for Ball Grid Array solder joints, High Resolution Automated X-ray inspection (HR-AXI) brings inline inspection to fine pitch flip chip solder joint assembly processes. HR-AXI delivers orders of magnitude higher inspection speeds with greater sensitivity than conventional point projection X-ray systems. Device damage is reduced as a result of shorter exposure times and an optimized system configuration. Using single top down images, advanced machine learning algorithms rapidly find defects such as non-wets, voids, and bridges.
用于高级封装装配连续监控的高分辨率自动x射线检测
与此同时,IC封装互连正朝着更高密度和更多焊料连接的方向发展,市场对缺陷材料的容忍度正在迅速消失。现有的检查封装内部焊点的技术,如横截面和传统的高分辨率x射线,既耗时又不切实际,无法实现100%的监控和过程反馈。结合先进机器学习算法的新型x射线系统架构可以实现复杂IC封装结构的高速自动检测。正如自动光学检测(AOI)已广泛应用于可见结构和自动x射线检测(AXI)用于球栅阵列焊点一样,高分辨率自动x射线检测(HR-AXI)为细间距倒装芯片焊点组装工艺带来了在线检测。与传统的点投影x射线系统相比,HR-AXI提供了更高的检测速度和更高的灵敏度。由于较短的曝光时间和优化的系统配置,减少了设备损坏。使用单个自顶向下的图像,先进的机器学习算法快速发现缺陷,如非湿、空隙和桥梁。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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