Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
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A Method of Squeegee pressure Optimization for Mass Production Thick Film Heaters Using SPC and Neural Network

  • Luckchonlatee, Chayut (Department of Instrumentation and Control System Engineering, Faculty of Engineering, King Mongkut′s University of Technology Thonburi) ;
  • Chaisawat, Ake (Department of Instrumentation and Control System Engineering, Faculty of Engineering, King Mongkut′s University of Technology Thonburi)
  • Published : 2002.07.01
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Abstract

The Mass production of ceramic heater has encountered with the estimation for the proper parameters of the printing conditions. This paper presents a method to estimate the squeegee pressure. It uses resistance distribution from the trial run with approximate squeegee pressure which comes from statistical process control (SPC). Then, the resistance distribution and its total resistance are input to the backpropagation neural networks that can recognize resistance's distribution patterns. The value of output network derived from the input value can identify to the appropriate squeegee pressure. The experimental results are demonstrated In ensure the efficiency and the reliability of this method with the accuracy 96.75 percent. Indeed, embedded on this method will aid us to reduce the loss from the normal mass production.

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