Performance Analyses of IDEAL Algorithm on Highly Skewed Grid System. (16th March 2014)
- Record Type:
- Journal Article
- Title:
- Performance Analyses of IDEAL Algorithm on Highly Skewed Grid System. (16th March 2014)
- Main Title:
- Performance Analyses of IDEAL Algorithm on Highly Skewed Grid System
- Authors:
- Sun, Dongliang
Xu, Jinliang
Ding, Peng - Other Names:
- Yu Bo Academic Editor.
- Abstract:
- Abstract : IDEAL is an efficient segregated algorithm for the fluid flow and heat transfer problems. This algorithm has now been extended to the 3D nonorthogonal curvilinear coordinates. Highly skewed grids in the nonorthogonal curvilinear coordinates can decrease the convergence rate and deteriorate the calculating stability. In this study, the feasibility of the IDEAL algorithm on highly skewed grid system is analyzed by investigating the lid-driven flow in the inclined cavity. It can be concluded that the IDEAL algorithm is more robust and more efficient than the traditional SIMPLER algorithm, especially for the highly skewed and fine grid system. For example, at θ = 5 ° and grid number = 70 × 70 × 70, the convergence rate of the IDEAL algorithm is 6.3 times faster than that of the SIMPLER algorithm, and the IDEAL algorithm can converge almost at any time step multiple.
- Is Part Of:
- Advances in mechanical engineering. Volume 2014(2014)
- Journal:
- Advances in mechanical engineering
- Issue:
- Volume 2014(2014)
- Issue Display:
- Volume 2014, Issue 2014 (2014)
- Year:
- 2014
- Volume:
- 2014
- Issue:
- 2014
- Issue Sort Value:
- 2014-2014-2014-0000
- Page Start:
- Page End:
- Publication Date:
- 2014-03-16
- Subjects:
- Mechanical engineering -- Periodicals
621.05 - Journal URLs:
- http://ade.sagepub.com/content/current ↗
http://www.hindawi.com/journals/ame ↗
http://www.uk.sagepub.com ↗ - DOI:
- 10.1155/2014/813510 ↗
- Languages:
- English
- ISSNs:
- 1687-8132
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 17149.xml