SpringerLink
Log in

Computational Framework for Complex Fluid Physics Applications

  • Conference paper
Computational Fluid Dynamics 2004

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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 ship** worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** 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. V. Sankaran and C. L. Merkle, “Analysis of Preconditioning Methods for Euler and Navier-Stokes Computations,” Von Karman Institute Lecture Series on Computational Fluid Dynamics, March, 1999.

    Google Scholar 

  2. D. Li, F. Hakhari, V. Sankaran and Charles L. Merkle, Convergence Assessment of General Fluid Equations on Unstructured Hybrid Grids, AIAA 2001–2557, Anaheim, CA, June 11–14, 2001.

    Google Scholar 

  3. D. Li and C. L. Merkle, Analysis of Real Fluid Flows in Converging Diverging Nozzles, AIAA-2003-4132, July 2003.

    Google Scholar 

  4. D. Li, D. Keefer, R. Rhodes, C. L. Merkle, K. Kolokolnikov and R. Thibodeaux, Analysis of MHD Generator Power Generation, AIAA2003-5050, July 2003.

    Google Scholar 

  5. E. Lemmon, M. McLinden, and M. Huber, NIST Reference Fluid Thermodynamic and Transport Properties-REFPROP, Users Guide, NIST-Report, 2002.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Mechanical Engineering, Purdue University, Chaffee Hall, 500 Allison Road, West Lafayette, IN, 47907

    Ding Li, Guo** **a, Venkateswaran Sankaran & Charles L. Merkle

Authors
  1. Ding Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. View author publications

You can also search for this author in Google Scholar

  • Venkateswaran Sankaran
    View author publications

    You can also search for this author in PubMed Google Scholar

  • Charles L. Merkle
    View author publications

    You can also search for this author in PubMed Google Scholar

    • Editor information

    Editors and Affiliations

    1. Institute of Aerospace Studies, University of Toronto, Dufferin Street 4925, M3H 5T6, Downsview, Ontario, Canada

      Clinton Groth  & David W. Zingg  & 

    Rights and permissions

    Reprints and permissions

    Copyright information

    © 2006 Springer-Verlag Berlin Heidelberg

    About this paper

    Cite this paper

    Li, D., **a, G., Sankaran, V., Merkle, C.L. (2006). Computational Framework for Complex Fluid Physics Applications. In: Groth, C., Zingg, D.W. (eds) Computational Fluid Dynamics 2004. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31801-1_89

    Download citation

    • DOI: https://doi.org/10.1007/3-540-31801-1_89

    • Publisher Name: Springer, Berlin, Heidelberg

    • Print ISBN: 978-3-540-31800-2

    • Online ISBN: 978-3-540-31801-9

    • eBook Packages: EngineeringEngineering (R0)

    Publish with us

    Policies and ethics

    Search

    Navigation