Skip to main content

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 181))

  • 2454 Accesses

Abstract

A fan is the most common airflow machinery and is being used in various different industries such as for heavy machinery, home appliances and automobile. An axial is used in a wide variety of applications, ranging from small cooling fans for electronics to the giant fans used in wind tunnels. An axial fan can generate large air volume used to cool equipment, but is less efficient. A sirocco fan is an efficient device for moving air by centrifugal force and can generate high pressure. Fans that affect the performance and noise of a product are important components. It is also a time and cost consuming equipment to develop a fan through physical experiments. In order to overcome this problem, we have designed and developed the fan simulator for the fluid analysis of axial fans and sirocco fans using a supercomputer. The fan simulator supports a numerical analysis of an axial fan and a sirocco fan through the web portal. The fan simulator consists of four automated processes: fan shape design, pre-processing, solving and post-processing. The prediction of flow rate and noise based on data mining without numerical analyses is also developed for the conceptual design of a fan.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Sohn, S.W.: Future Trends of IT Convergence. In: International Conference on Information Networking, pp. 1–29 (2009)

    Google Scholar 

  2. Bleier, F.P.: Fan Handbook. McGrawHill (1997)

    Google Scholar 

  3. Shigemitsu, T., Fukutomi, J., Okabe, Y.: Performance and flow condition of small-sized axial fan and adoption of contra-rotating rotors. National Journal of Thermal and Fluid Sciences 19(1), 1–6 (2010)

    Google Scholar 

  4. Apte, C.: Data mining: an industrial research perspective. Computational Science & Engineering 4(2), 6–9 (1997)

    Article  MathSciNet  Google Scholar 

  5. Kim, M.I., Lee, S.M., Kim, J.S., Lee, S.M.: Web-based Axial Fan Simulator using Supercomputer. In: Proceedings of the World Congress on Engineering 2009, vol. 1, pp. 780–783 (2009)

    Google Scholar 

  6. Yang, Y.-P., et al.: Online Software Tool for Predicting Weld Residual Stress and Distortion. In: ASME Conference Proceedings, vol. 6, pp. 279–288 (2008)

    Google Scholar 

  7. Lin, Z.-C., Wu, W.-J.: Multiple linear regression analysis of the overlay accuracy model. Transactions on Semiconductor Manufacturing 12(2), 229–237 (1999)

    Article  Google Scholar 

  8. Jackel, L.D., Howard, R.E., Graf, H.P., Straughn, B., Denker, J.S.: Artificial neural networks for computing. Journal of Vacuum Science & Technology 4(1), 61–63 (1986)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Myung-Il Kim .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer Science+Business Media Dordrecht

About this paper

Cite this paper

Kim, MI., Kim, DK., Park, BY., Kim, SH. (2012). Fan Simulator Using Supercomputer. In: Park, J., Jeong, YS., Park, S., Chen, HC. (eds) Embedded and Multimedia Computing Technology and Service. Lecture Notes in Electrical Engineering, vol 181. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5076-0_9

Download citation

  • DOI: https://doi.org/10.1007/978-94-007-5076-0_9

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-5075-3

  • Online ISBN: 978-94-007-5076-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics