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Research Papers

Predicting Air Bearing Contamination Using Air Flow Pattern Analysis

[+] Author and Article Information
Shuyu Zhang1

 Samsung Information Systems America, 75 West Plumeria Drive, San Jose, CA 95134

Brian D. Strom

 Samsung Information Systems America, 75 West Plumeria Drive, San Jose, CA 95134

1

Electronic mail: sh.zhang@sisa.samsung.com

J. Tribol 130(1), 011002 (Dec 06, 2007) (4 pages) doi:10.1115/1.2806196 History: Received May 04, 2006; Revised September 22, 2007; Published December 06, 2007

A new method is introduced for predicting particle and liquid droplet contamination on an air bearing surface. The method primarily relies on the analysis of flow patterns nearest the air bearing surface, restricted to two dimensions. In addition, a mathematical model for the vertical flow perpendicular to the disk surface adds clarity to the contamination mechanisms. The predictions compare well with contamination patterns observed in prototype disk drives.

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Copyright © 2008 by American Society of Mechanical Engineers
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Figures

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Figure 1

Air flows in air bearing

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Figure 2

Infinitesimal cylindrical control volume

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Figure 3

Air bearing flow pattern superposed on a Pico ABS, where the topmost air bearing surface is green, the first etch step (0.1μm below) is red, and the air bearing cavity (2μm below) is white. Carbon pads extending 35nm above the ABS are blue.

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Figure 4

SEM micrographs of contaminated sliders compared with the flow patterns generated by air flow analysis, for three radial positions

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Figure 5

The slider and flow pattern of Fig. 3 superposed with the vertical flow velocity contour illustrates how contamination is affected by vertical flow. Positive velocity represents flow toward the ABS.

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