Chinese Journal of Lasers, Volume. 49, Issue 3, 0304001(2022)

Detection of Solid Surface Microvibration Excited via Acoustic Radiation Using Sinusoidal Phase Modulation Interferometer

Lieshan Zhang*, Rongsen Li, Yicheng Lan, Pengzhe Yuan, and Jiawei Wang
Author Affiliations
  • Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China
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    Figures & Tables(21)
    Schematic of SPMI detecting microvibration on solid surface
    DCM algorithm flowchart
    Waveforms of functions Sum1(Cn) and Sum2(Cn)
    Principle of phase modulation depth estimation algorithm
    Carrier phase delay estimation algorithm
    Improved PGC-DCM demodulation algorithm
    Distributions in time and frequency domains of simulated interference signal. (a) Distribution in time domain; (b) distribution in frequency domain
    Lissajous figures. (a) Before normalization;(b) after normalization
    Waveforms of demodulation result before filtering. (a) Distribution in time domain; (b) distribution in frequency domain
    Time domains of demodulation results after filtering. (a) Demodulation result of traditional PGC-DCM algorithm; (b) demodulation result of improved PGC-DCM algorithm
    Schematic of experimental system
    Experimental platform
    Interference detection signal of 500 Hz microvibration. (a) Time domain waveform; (b) frequency domain distribution
    Lissajous figures of orthogonal signal pair. (a) Before normalization; (b) after normalization
    Comparison of demodulation results. (a) Demodulation result of traditional PGC-DCM algorithm; (b) demodulation result of improved PGC-DCM algorithm; (c) spectrum of demodulation result of improved PGC-DCM algorithm
    Dynamic range of demodulation system. (a) Spectrum distribution of background noise; (b) measurable dynamic range of microvibration under different frequencies
    Time domains comparison between demodulation results of amplitude modulation microvibration signal and excitation signal. (a) Time domain of excitation signal after power amplification; (b) measured interference signal; (c) time domain of phase demodulation result
    Frequency domains comparison between demodulation results of amplitude modulation microvibration signal and excitation signal. (a) Spectrum of excitation signal; (b) spectrum of demodulation signal
    Demodulation results of frequency modulation microvibration signal. (a) Time domain diagram of frequency modulation microvibration signal demodulation result; (b) short-time Fourier transform result
    • Table 1. Main simulation parameters

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      Table 1. Main simulation parameters

      ParameterValue or expression
      Sampling rate /Hz250000
      C /rad1.80
      ω0 /(rad·s-1)6000π
      Cn /rad59.5751
      ωn /(rad·s-1)0.5π
      k /(rad·nm-1)0.0099
      Ca /rad2k×100
      ωa /(rad·s-1)400π
      L0 /rad0.25π
      θc /rad5.0531
      B00.4+0.1sin(4πt)
      φa /rad0.35
    • Table 2. Comparison of signal-to-noise distortion ratio of two algorithms under different frequencies

      View table

      Table 2. Comparison of signal-to-noise distortion ratio of two algorithms under different frequencies

      AlgorithmSignal-to-noise distortion ratio/dB
      500 Hz1 kHz1.5 kHz2 kHz2.5 kHz3 kHz
      Traditional PGC-DCM27.001825.75449.68386.56115.60063.8103
      Improved PGC-DCM45.274336.466632.021031.218927.120726.4721
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    Lieshan Zhang, Rongsen Li, Yicheng Lan, Pengzhe Yuan, Jiawei Wang. Detection of Solid Surface Microvibration Excited via Acoustic Radiation Using Sinusoidal Phase Modulation Interferometer[J]. Chinese Journal of Lasers, 2022, 49(3): 0304001

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    Paper Information

    Category: Measurement and metrology

    Received: May. 7, 2021

    Accepted: Jun. 18, 2021

    Published Online: Jan. 18, 2022

    The Author Email: Zhang Lieshan (zhanglieshan@163.com)

    DOI:10.3788/CJL202249.0304001

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