Study on Evaluation System of Tool Life for Shearing (Wavelet Transform and Chaos Time Series Analysis of AE Signals)

Abstract

Shearing is one of the most important working methods in the manufacturing process, because it is repeated many times until the completion of the products. Therefore, it is very serious problem for the quality control of the products and the improvement of the productivity to evaluate the machining conditions. In this study, waveform analysis, wavelet transform analysis and chaos time series analysis were carried out to the detected AE signals during the shearing. And the extraction of the parameters for evaluating the machining conditions and the tool life was examined. As the results, it has been proved that the RA value of the time fluctuation waveform of wavelet coefficient and chaos time series analysis results are effective parameters for evaluating the conditions and the life. And the evaluation system using the RA value was proposed, and the validity of the system was confirmed by comparing the experimental results.