Volume 10, Issue 2 (6-2020)                   IJAE 2020, 10(2): 3202-3209 | Back to browse issues page

XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Kakaee A, Mahjoorghani M. Determining an efficient numerical solution method for pressure loss problem in bends. IJAE. 2020; 10 (2) :3202-3209
URL: http://www.iust.ac.ir/ijae/article-1-494-en.html
School of Automotive Engineering, Iran University of Science and Technology,
Abstract:   (1114 Views)
Intake and exhaust manifolds are among the most important parts in engine in which pressure loss phenomena has direct impact on with changing volumetric efficiency. In typical 1D simulation codes, the quantity of pressure loss is proportional to the fluid’s mean velocity by Pressure Loss Coefficient (Kp) value. This important coefficient which has substantial rule in engine simulation is usually determined using constant available values, extracted from complicated experiments (like Miller’s tests) in a specified situation. But these values are credible only in situations according to those tests. Coupling 3D simulations with 1D codes is a common method to gain accurate values of these coefficients but this deals with drastic high simulation costs. To address this problem, a more efficient way is replacing an algebraic relation, extracted from 3D calculations, instead of a constant value in 1D code. It’s obvious that in order to reach accurate coefficients in arbitrary conditions (geometric and flow specifications) determining the best numerical method is mandatory.  In present research, after investigating all 3D simulation aspects, six different selected numerical solutions have been implemented on four different bends in ANSYS Fluent.Results have been validated by comparing loss coefficient values of incompressible fluid (water) with Miller loss coefficient values and method with the most accurate and stable results has been discovered. It was found that all these methods are suitable in general (with less than 5% error in coefficient values) but solutions with structured grid and SST k-ω turbulence modeling represented better stability and accuracy.
Full-Text [PDF 952 kb]   (54 Downloads)    

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


© 2018 All Rights Reserved | International Journal of Automotive Engineering

Designed & Developed by : Yektaweb