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Analysis of Various Acoustic Emission Signal for the Automatic Detection of Defective Manufactures in Press Process  

Kim, Dong-Hun (울산대학교 대학원 기계자동차공학과)
Park, Se-Myung (울산대학교 대학원 기계자동차공학과)
Lee, Won-Kyu (울산대학교 대학원 기계자동차공학과)
Publication Information
Journal of the Korean Society of Manufacturing Process Engineers / v.9, no.4, 2010 , pp. 14-25 More about this Journal
Abstract
Small cracks or chips of a product appear very frequently in the course of continuous production of an automatic press process system. These phenomena became the cause of not only defective product but also damage of a press mold. In order to solve this problem AE(Acoustic emission) system was introduced. AE system was expected to be very effective to real time detection of the defective product and for the prevention of the damage in the press molds In this study, for the pick and analysis of AE signals generated from the press process, AE sensors/pre-amplifier/analysis and processing board were used as frequently found in the other similar cases. For the analysis and processing the AE signals picked in real time from the normal or the detective products, specialized software called AE-win(software for processing AE signal from Physical Acoustics Corporation) was used. As a result of this work it was conformed that intensity and shape of the various AE signals differ depending on the weight of the press and thickness of sheet and process type.
Keywords
press; Acoustic Emission; signal processing;
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