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Int. J. Fuzzy Log. Intell. Syst. 2006; 6(3): 217-222

Published online September 1, 2006

© The Korean Institute of Intelligent Systems

Development of Ultrasonic Test Equipment for Investigating the Morphology of Barrier Materials

Sung-Ho Kim,Young-Sam Lee

Abstract

Recently, LG chemical corporation developed new material called HYPERIER, which has an excellent barrier characteristic. It has many layers which are made of nano-composite within LDPE(Low-Density Poly Ethylene). In order to guarantee the quality of the final product from the production line, a certain test equipment is required to investigate the existence of layers inside the HYPERIER. In this work, ultrasonic sensor based test equipment for investigating the existence of inner layers is proposed. However, it is a tedious job for human operators to check the existence by just looking at the resounding waveform from ultrasonic sensor. Therefore, to enhance the performance of the ultrasonic test equipment, wavelet and PCA(Principle Componet Analysis) schemes are introduced into neural network scheme which is used for classification. To verify the feasibility of the proposed scheme, some experiments are executed.

Keywords: Barrier characteristic,Wavelet,PCA,Ultrasonic sensor

Article

Int. J. Fuzzy Log. Intell. Syst. 2006; 6(3): 217-222

Published online September 1, 2006

Copyright © The Korean Institute of Intelligent Systems.

Development of Ultrasonic Test Equipment for Investigating the Morphology of Barrier Materials

Development of Ultrasonic Test Equipment for Investigating the Morphology of Barrier Materials

Sung-Ho Kim,Young-Sam Lee

Abstract

Recently, LG chemical corporation developed new material called HYPERIER, which has an excellent barrier characteristic. It has many layers which are made of nano-composite within LDPE(Low-Density Poly Ethylene). In order to guarantee the quality of the final product from the production line, a certain test equipment is required to investigate the existence of layers inside the HYPERIER. In this work, ultrasonic sensor based test equipment for investigating the existence of inner layers is proposed. However, it is a tedious job for human operators to check the existence by just looking at the resounding waveform from ultrasonic sensor. Therefore, to enhance the performance of the ultrasonic test equipment, wavelet and PCA(Principle Componet Analysis) schemes are introduced into neural network scheme which is used for classification. To verify the feasibility of the proposed scheme, some experiments are executed.

Keywords: Barrier characteristic,Wavelet,PCA,Ultrasonic sensor

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