Run by run control of time-pressure dispensing for electronics encapsulation

To alleviate the influence of gas compressibility on the process performance of time-pressure dispensing for electronics encapsulation, a predictive model is developed based on power-law fluid to estimate the encapsulant amount dispensed. Based on the simple and effective model, a run by run (RbR) supervisory control scheme is delivered to compensate the variation resulting from gas volume change in the syringe. Both simulation and experiment have shown that the dispensing consistency has been greatly improved with the model-based RbR control strategy developed in this paper.

[1]  Arnon M. Hurwitz,et al.  Run-to-Run Process Control: Literature Review and Extensions , 1997 .

[2]  Han-Xiong Li,et al.  Comparative study of fluid dispensing modeling , 2003 .

[3]  David J. Williams,et al.  Intelligent control of adhesive dispensing , 1990 .

[4]  David J. Williams,et al.  A Comparison of Control Paradigms for Adhesive Dispensing , 1992 .

[5]  Ali Razban.  Intelligent control of an automated adhesive dispensing cell. , 1993 .

[6]  Sejin Han,et al.  Analysis of the flow of encapsulant during underfill encapsulation of flip-chips , 1997 .

[7]  Gwilym M. Jenkins,et al.  Time series analysis, forecasting and control , 1972 .

[8]  David J. Williams,et al.  Experience of the Application of Intelligent Control Paradigms to Real Manufacturing Processes , 1995 .

[9]  C. L. Tucker,et al.  Fundamentals of Computer Modeling for Polymer Processing , 1989 .

[10]  Brian L. Davies,et al.  Real time control of automated adhesive dispensing , 1991, RTSS 1991.

[11]  Armann Ingolfsson,et al.  Run by run process control: combining SPC and feedback control , 1995 .

[12]  W. J. Zhang,et al.  Off-line control of time-pressure dispensing processes for electronics packaging , 2003 .

[13]  R. Spinazzola.  Statistical process control applied to automated dispense of silver filled epoxy for commercial millimeter wave multi chip module , 1997, Proceedings 1997 International Conference on Multichip Modules.

[14]  B. L. Davies,et al.  Analytical modelling of the automated dispensing of adhesive materials , 1995 .

[15]  Han-Xiong Li,et al.  A novel neural approximate inverse control for unknown nonlinear discrete dynamical systems , 2005, IEEE Trans. Syst. Man Cybern. Part B.