Research Papers: Magnetic Storage

Analysis of Transient Contact Response of a Sub-10 Nanometer Air-Bearing Slider (Pico Glide Head) Using Empirical Mode Decomposition

[+] Author and Article Information
Gang Sheng

 Department of Mechanical Engineering, University of Alaska, Fairbanks, AK 99775 e-mail: gsheng@alaska.edu

Jizhong He1

 Hitachi Global Storage Technology (HGST), 5601 Great Oaks Parkway, San Jose, CA 95193

Shanlin Duan

 Hitachi Global Storage Technology (HGST), 5601 Great Oaks Parkway, San Jose, CA 95193


Present address: Micro-focus Technology, 6402B, Tai-ke Software Industrial Zone, Tai Lake Road, Lake District, Wuxi, Jiansu, China 214125, e-mail: jizhonghe@yahoo.com

J. Tribol 133(3), 031901 (Jul 21, 2011) (9 pages) doi:10.1115/1.4004098 History: Received February 03, 2010; Revised April 25, 2011; Published July 21, 2011; Online July 21, 2011

The transient dynamics of a sub-10 nanometer air-bearing slider (pico glide head) are experimentally investigated using piezoelectric transducer (PZT)signal. Empirical mode decomposition is used to resolve the nonstationary and nonlinear response of the slider under short contacts at high temporal resolution at high frequencies. The results indicate that the empirical mode decomposition can clearly distinguish weak impacts between slider and defects on disk. By using the combination of the power spectrum density of the decomposed signal and Hilbert spectrum, multiple consecutive events during contact are effectively resolved, and the nonstationary and nonlinear spectrum signature of slider contact response are characterized.

Copyright © 2011 by American Society of Mechanical Engineers
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Figure 2

(a) PZT signal, (b) FFT of PZT signal, and (c) Power spectrum density of PZT signal

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Figure 3

Spectrogram of TFA of PZT signal: (a) 2D plot and (b) 3D plot

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Figure 4

Wavelet spectrum of PZT signal

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Figure 5

EMD decomposition of PZT signal (c0: original PZT signal; c1–6: decomposed IMF1-6)

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Figure 6

Power spectrum density of IMF1-6 of PZT signal

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Figure 7

Hilbert spectrum of IMF1-6 of PZT signal: (a) c1(IMF1) and Hilbert spectrum; (b) c2(IMF2) and Hilbert spectrum; (c) c3(IMF3) and Hilbert spectrum; (d) c4(IMF4) and Hilbert spectrum; (e) c5(IMF5) and Hilbert spectrum; and (f) c6(IMF6) and Hilbert spectrum

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Figure 8

IMF3 (c3) of PZT signal in time span of 0.02–0.04 ms and Hilbert spectrum

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Figure 1

Schematic of test setup



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