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

机译:基于视觉伺服的BGA球安装机自动对准技术研究

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摘要

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 this 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.
机译:目前,球网阵列(BGA)是半导体封装的主流技术。 BGA球安装处理的对准精度对成品速率产生了很大的影响。为了降低机制的准确性要求和增加自动化水平,本文将视觉​​伺服技术引入BGA球安装处理。采用同轴照明来强调定位孔的特性,并并行处理流程设计用于图像捕获。图像平滑和直方图均衡技术用于图像预处理以清除图像噪声并提高图像对比度。模板匹配技术用于识别定位孔并计算定位孔的坐标。然后使用报头和基板的坐标之间的差异作为驱动信号以实现自动对准。伺服系统采用双闭环反馈,以提高定位精度。 S形加速度曲线降低了运动的影响。基于对上述技术的研究,提出了BGA球安装加工的自动取向的有效方案,并将为BGA球安装机的开发提供大量支持。

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