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이성재(Sung Jae Lee),정연식(Yun Shick Jung),김정석(Jung Suk Kim),강명창(Myung Chang Kang),정규동(Kyu Dong Jung) Korean Society for Precision Engineering 2004 한국정밀공학회지 Vol.21 No.8
This study deals with the prediction of defect location which can be occurred in structure. The existing methods was very difficult to be applied to predict it, because of complex numerical formula. The triangulation method proposed in this study can predict the source location easily with small amount of data. The arrival time of wave can be directly converted into the distance between sensors. For this purpose, the propagation velocity was measured by Rayleigh wave, and the propagation behavior was analyzed. The welded workpiece is adapted to investigate for the consideration of jointed part in structure, The propagation velocity of signal was measured in welded workpiece and the revised algorithm of source location was proposed.
정연식,강익수,김전하,강명창,김정석,안중환 한국공작기계학회 2004 한국공작기계학회 추계학술대회논문집 Vol.2004 No.-
Ultraprecision machining and MEMS technology have been taken more and more important position in machining of microparts. Micro endmilling is one of the prominent technology that has wide spectrum of application field ranging from macro parts to micro products. Also, the method of micro-grooving using micro endmilling is used widely owing to many merit, but has problems of precision and quality of products due to tool wear and tool fracture. This investigation deals with state monitoring using acoustic emission(AE) signal in the micro-grooving. Characteristic evaluation of AE raw signal, AE hit and frequency analysis for state monitoring is also presented in the paper.