The Online Monitoring of Surface Quality Based on Time-Frequency Spectrum Analysis of Acoustic Emission

Abstract:

There is a high requirement on the surface quality of work-pieces made of Ni-based super-alloys due to the important application in aviation and aerospace fields, so it is particularly important to implement the on-line monitoring to the surface quality of work-piece in the machining process. The acoustic emission (AE) signal has the relatively superior signal/noise ratio and sensitivity during the process of nickel alloy. Through the analysis of AE signal’s characteristic which comes from the different condition of tool wear, it is an effective mean to evaluate the tool wear condition and monitor the surface quality of work-piece due to the usage of AE during the machining process. This paper indicate that it is simple and intuitive to achieve the on-line monitoring of surface quality which based on spectrum analysis of AE signal and proposed the method of on-line monitoring of the nickel alloy surface quality under different condition of tool wear based on AE time-frequency spectrum.

• Periodical: Applied Mechanics and Materials (Volume 141)
• Pages: 564-568
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.141.564
• Online since: November 2011
• Authors: Chang Liu, Guo Feng Wang, Xu Da Qin, Lu Zhang
• Keywords: Acoustic Emission (AE), Analysis of the Time-Frequency Spectrum, Nickel Alloy, Online Monitoring, Short Time Fourier Transform (STFT), Surface Quality

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