Study of High Speed Micro Milling Machine Status Based on Vibration Source Identification

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Journal of Vibration and Shock ›› 2015, Vol. 34 ›› Issue (9) : 65-70.

Yue Sun, Zhanjiang Yu, Jinkai Xu, Huadong Yu

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Abstract

An effective separation algorithm is proposed for three orthogonal high speed micro milling force mixed-signal under mesoscale. Thus the real high speed micro milling force signals and machine vibration signals are obtained. Based on above algorithm, machine status is analyzed. The information content is designed as processing rule of initial separation and the mixed-signals are separated preliminarily. The component signals are obtained. As row vectors, the component signals are used to build the matrix. Finally, this matrix is separated with the rule of most Gaussian. The exciting source signals are separated one by one. The results are processed by FFT and the spectrums are obtained. Combining with the features of high speed micro milling machining under mesoscale, micro milling force signals and state information of machine are identified. The experiment results show that the algorithm can successfully indentify the main exciting sources and machine status in mesoscale high speed micro milling.

Key words

high speed micro milling / meso scale / matrix creation / signal separation / machine status

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Yue Sun, Zhanjiang Yu, Jinkai Xu, Huadong Yu . Study of High Speed Micro Milling Machine Status Based on Vibration Source Identification[J]. Journal of Vibration and Shock, 2015, 34(9): 65-70

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