Technology Research on Automatic Alignment of BGA Ball Mounting Machine Based on Visual Servo

L. Xia, Jiang Han, Jianqiang Guo, Han Zhao
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Abstract

Currently, ball grid array (BGA) is the mainstream technology of semiconductor package. The alignment accuracy of BGA ball mounting processing has a great impact on the rate of finished products. In order to reduce the accuracy requirement for mechanism and increase the automation level, visual servo technology is introduced to BGA ball mounting processing in tins paper. Coaxial lighting is adopted to emphasize the characteristics of positioning hole, and parallel processing flow is designed for image capture. Image smoothing and histogram equalization technology are used in image preprocessing to clear up image noise and increase image contrast. Template matching technology is used to identify the positioning hole and calculate the coordinates of positioning hole. And the difference between the coordinates of header and substrate is used as the driving signal to achieve the automatic alignment. Double-closed-loop feedback is adopted in servo system to improve positioning accuracy. And S-shape acceleration curve reduces the impact in the movement. Based on the research on the above technology, an effective scheme for automatic orientation of BGA ball mounting processing is put forward, and it will provide the great support to the development of BGA ball mounting machine.
基于视觉伺服的BGA装球机自动对中技术研究
目前,球栅阵列(BGA)是半导体封装的主流技术。BGA球座加工的对中精度对成品率有很大的影响。为了降低对机构精度的要求,提高自动化水平,将视觉伺服技术引入到锡纸BGA装球加工中。采用同轴照明强调定位孔的特点,设计并行处理流程进行图像采集。在图像预处理中采用图像平滑和直方图均衡化技术来消除图像噪声,提高图像对比度。采用模板匹配技术对定位孔进行识别,并计算定位孔坐标。利用标头与基板的坐标差作为驱动信号,实现自动对准。伺服系统采用双闭环反馈,提高了定位精度。s型加速度曲线减小了运动中的冲击。在对上述技术进行研究的基础上,提出了一种有效的BGA装球加工自动定位方案,将为BGA装球机的发展提供有力的支持。
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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