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MATHEMATICAL MODELING OF SOLDER PASTE STENCILING FOR PROCESS CONTROL

机译:用于过程控制的焊锡膏数学建模

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A series of designed experiments was conducted to characterize stenciling solder paste and measuring paste bricks by three-dimensional automated optical inspection (AOI). For this study, squeegee pressure, squeegee speed, and separation speed were manipulated on three levels.Detailed studies were conducted on printed area, height of the brick, volume, and X-Y offset. Brick volume was selected for the process response.Confirmation runs verified that the mathematical model could predict volume and standard deviation of printed paste volume for all package styles, and response curves revealed that not all apertures share the same optimum level settings. For instance, levels that minimize variability in stenciled paste for a BGA may induce more variability for 0603 resistor nets.Means response tables for volume standard deviation of each package type were used to make a programmed spreadsheet for determining optimal printer settings. This tool allows for quick prediction of solder paste print standard deviations for numerous package types and setting optimal process levels to minimize variability. The programmed spreadsheet can prepare a population weighted average by total pin count for different packages to set control factors at “best fit” levels.
机译:进行了一系列设计实验,以通过三维自动光学检查(AOI)表征锡膏和锡膏砖的特征。在本研究中,将刮板压力,刮板速度和分离速度分为三个级别进行操作,并对印刷面积,砖块高度,体积和X-Y偏移量进行了详细的研究。选择砖块体积作为过程响应。确认运行证实了该数学模型可以预测所有包装样式的体积和印刷浆料体积的标准偏差,并且响应曲线表明并非所有孔都共享相同的最佳水平设置。例如,使BGA的糊状焊膏中的变化最小化的水平可能会导致0603电阻器网产生更多的变化。每种包装类型的体积标准偏差的均值响应表用于编制程序化电子表格,以确定最佳打印机设置。该工具可以快速预测多种包装类型的焊膏印刷标准偏差,并设置最佳工艺水平以最大程度地减少变化。编程的电子表格可以根据不同封装的总引脚数来准备总体加权平均值,以将控制因子设置为“最合适”的水平。

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