Microsystem Technologies

, Volume 22, Issue 6, pp 1241–1247 | Cite as

Prediction of the oil injection time of FDBs in an HDD spindle motor with a tied shaft by utilizing Kirchhoff’s pressure law

  • Minho Lee
  • Jihoon Lee
  • Chiho Kang
  • Kyobong Kim
  • Hokyung Jang
  • Bumcho Kim
  • Gunhee Jang
Technical Paper
First Online:
Received:
Accepted:

Abstract

We propose a method to predict the oil injection time of fluid dynamic bearings (FDBs) with a tied shaft by applying Kirchhoff’s pressure law. Since the oil is injected by capillary phenomenon, the volume flow rate can be calculated by utilizing Kirchhoff’s pressure law. Then, we calculated the oil injection time of the FDBs with a tied shaft by dividing the volume flow rate by the clearance volumes of the journal bearing, the thrust bearing, and the recirculation channel (RC), respectively. We generated simulation models of the FDBs used in a 2.5″ HDD spindle motor with a tied shaft. The total oil injection times of the FDBs with and without a RC were 0.302 and 0.335 s, respectively. Also, we verified the proposed method by measuring the oil injection time of FDBs with a RC. We applied the proposed method to predict and improve the oil injection time of the FDBs with a tied shaft due to the variation of major parameters affecting the oil injection time.

Keywords

Flow Resistance Volume Flow Rate Journal Bearing Thrust Bearing Capillary Phenomenon 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Notes

Acknowledgements

This research was supported Samsung Electro-Mechanics Co. Ltd. and the Civil-Military Technology of National Research Council of Science & Technology (NST) (13-3-KIMM).

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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Minho Lee
    • 1
  • Jihoon Lee
    • 1
  • Chiho Kang
    • 1
  • Kyobong Kim
    • 1
  • Hokyung Jang
    • 1
  • Bumcho Kim
    • 1
  • Gunhee Jang
    • 1
  1. 1.PREM, Department of Mechanical Convergence EngineeringHanyang UniversitySeoulRepublic of Korea

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