7
1 GM UW Collaborative Research Lab Advanced Turbulence Modeling for engine applications Chan Hee Son Chan Hee Son University of Wisconsin, Engine Research Center University of Wisconsin, Engine Research Center Advisor: Professor Christopher J. Rutland Advisor: Professor Christopher J. Rutland Sponsor: General Motors Sponsor: General Motors

Advanced Turbulence Modeling for engine applications

  • Upload
    melody

  • View
    39

  • Download
    0

Embed Size (px)

DESCRIPTION

Advanced Turbulence Modeling for engine applications. Chan Hee Son University of Wisconsin, Engine Research Center Advisor: Professor Christopher J. Rutland Sponsor: General Motors. Motivation. Linear k- e model widely used, but compromise between expense and accuracy - PowerPoint PPT Presentation

Citation preview

Page 1: Advanced Turbulence Modeling for engine applications

1

GM UWCollaborative Research Lab

Advanced Turbulence Modeling for engine applications

Chan Hee SonChan Hee SonUniversity of Wisconsin, Engine Research Center University of Wisconsin, Engine Research Center

Advisor: Professor Christopher J. RutlandAdvisor: Professor Christopher J. RutlandSponsor: General MotorsSponsor: General Motors

Page 2: Advanced Turbulence Modeling for engine applications

2

GM UWCollaborative Research Lab

Motivation

Linear k-Linear k- model model widely used, but compromise between expense and accuracy Inherently unable to account for secondary flows Poor predictions for separated or curved streamline flows

Non-linear modelsNon-linear models Able to predict secondary flow of the second kind Numerical instability leads to excessive computational expense Wallin-Johansson's explicit Algebraic Reynolds Stress Model as

a representative case

vv22-f model-f model Two turbulence scales are used More accurate representation of the physics (eddy viscosity)

close to the wall Very good performance in flow separation regions

Page 3: Advanced Turbulence Modeling for engine applications

3

GM UWCollaborative Research Lab

Model formulation

Turbulence governing equations of vTurbulence governing equations of v22 - f - f

Tt

k

k U k k P

2

1 2T

t U C P Ck k

2 2 2 2v v v vTt

k

U kfk

223

2 21 2

v

f f

k Pf L f C C

T k

1 28

0.251.3 1.9

1 dl

C C

1 20.4, 0.3f fC C

2

0.19 0

v

.3 70LT

L

L C l

C C

C

C

T

1 21.44, 1.92C C

ProductionP

1

2max ,6

kT

13 3 2

2 22

max ,

wall distance

kl C

d

Page 4: Advanced Turbulence Modeling for engine applications

4

GM UWCollaborative Research Lab

Sandia National Lab Optical engine

SpecificationsSpecifications Bore – 79.5mm, Stroke – 85.0 mm CR = 18.7

1500 RPM RS = 1.5 ~ 3.5

Cold flow (no spray or combustion)

Measurement locationsMeasurement locations 3 clusters of 5 points located in a vertical plane bisecting the

exhaust valves The 3 center points are at r= 13.6 mm with all neighboring

measurement points being 1mm away.

Page 5: Advanced Turbulence Modeling for engine applications

5

GM UWCollaborative Research Lab

Radial and tangential velocities @ 5 ATDC with swirl ratio 3.5

v2-f W-J

Page 6: Advanced Turbulence Modeling for engine applications

6

GM UWCollaborative Research Lab

TKE history for case with swirl ratio = 3.5

Page 7: Advanced Turbulence Modeling for engine applications

7

GM UWCollaborative Research Lab

Conclusion

For the Sandia National lab optical engine simulation, W-J For the Sandia National lab optical engine simulation, W-J eARSM does not show any improvement for the mean flow. eARSM does not show any improvement for the mean flow. Even the Even the k-k-model is better.model is better. Potential reason: the W-J ARSM is originally derived for 2D flow. 3D

version is quartic order. Thus, too complex for practical use. Increased levels of turbulence is predicted by the WJ model.Increased levels of turbulence is predicted by the WJ model.

At swirl ratio 2.5 and 3.5, TKE prediction over time is very similar to k-model in trend, but about 50% higher in turbulence level.

This is not due to the ability of this model to capture turbulence anisotropy, as the trend is almost exactly the same as k-t high swirl anisotropy increases.

The The vv22-f-f model consistently shows improved results. Still it fails model consistently shows improved results. Still it fails to catch the trends of the experimental turbulent kinetic energy to catch the trends of the experimental turbulent kinetic energy results.results.