The Identification of Vibration Characteristics for Hardened Steel Based on Wavelet Energy Spectrum in High-Speed Milling

Yan Xin Wang; Xian Li Liu; C.X. Yue; Fei Xiao; P. Sun

doi:10.4028/www.scientific.net/AMR.188.162

Paper Titles

Cluster Analysis on Vibration Characteristic in High Speed Ball-End Milling Hardened Steel
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Research of Cutter Geometric Parameter Effect on Machining Stability Area in High Speed Milling Process
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Study of Exit Burr Formation of CFRP
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Method of Recognizing of Chip Shape Based on Machine Vision Technology
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The Identification of Vibration Characteristics for Hardened Steel Based on Wavelet Energy Spectrum in High-Speed Milling
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Cutting Force Model Prediction Considering Cutting Edge Parameters Base on Genetic Algorithm
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Temperature Variables Selection for Thermal Error Modeling of Heavy-Duty CNC Milling-Boring Machine Tools
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A Viscometer Based on Velocity Attenuation of Rotary Cylinder
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The Study on Three-Dimensional Roughness of Machined Surface in High Speed Milling of SiCp/Al Composites
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 188The Identification of Vibration Characteristics...

The Identification of Vibration Characteristics for Hardened Steel Based on Wavelet Energy Spectrum in High-Speed Milling

Abstract:

A method to identify the effect of tool overhang on vibration signal is put forward to study machining process of large hardened steel automobile mold by wavelet energy spectrum. Firstly, collect the machinery vibration signal on milling by displacement sensor, then make a wavelet transform on time signal and calculate the wavelet energy spectrum of each frequency range. Finally, extract energy value of the right frequency by the method of homogenization. It is confirmed by experimental data that this method can recognize vibration feature and abnormal condition of cutting tool in high speed milling process of hardened steel fleetly and efficiently.