Numerical Simulation of Drag Reduction on a Square Rod Detached with Two Control Rods at Various Gap Spacing via Lattice Boltzmann Method
Abstract
:1. Introduction
2. Lattice Boltzmann Method
3. Problem Statement, Boundary Conditions, and Important Parameters
4. Code Validity and Grid Independence Study
5. Results and Discussion
5.1. Analysis of Flow Modes
5.1.1. Single Bluff Body (SBB) Flow Mode
5.1.2. Without Rolled up Shear Layer Reattachment (WSLR) Flow Mode
5.1.3. Rolled up Shear Layer Reattachment (RSLR) Flow Mode
5.1.4. Steady Flow (SF) Mode
5.1.5. Critical Flow (CF) Mode
5.1.6. Fully Developed Vortex Street (FDVS) Flow Mode
5.1.7. Two Rows Vortex Street (TRVS) Flow Mode
5.2. Force Statistics
6. Conclusions
- (1)
- By varying g and d1, seven different flow modes were observed in this study: (i) single bluff body; (ii) without rolled up shear layer reattachment; (iii) rolled up shear layer reattachment; (iv) steady flow; (v) fully developed vortex street; (vi) critical flow; and (vii) two row vortex street flow modes.
- (2)
- The vortex shedding is completely suppressed at (g, d1) = (1, 12), (2, 12), and (2, 16) for steady flow mode.
- (3)
- It is observed that at highest gap spacing, that is g = 5, the effect of the control rods on the main rod vanishes. As a result, maximum values of Cdmean and St are investigated at (g, d1) = (5, 8).
- (4)
- It is found that the main rod experiences a negative drag force at (g, d1) = (1, 12), (2, 12), (1, 16), (2, 16), (3, 16), (4, 16), (1, 20), (2, 20), (3, 20), and (4, 20) due to the effect of thrust.
- (5)
- The maximum reduction in Cdmean was 121%, examined at (g, d1) = (2, 20) and minimum reduction at (g, d1) = (5, 8), which was 43.6%. Therefore, it was concluded that the maximum size of control rods with a moderate gap spacing plays an important role for reducing more drag force and suppress vortex shedding as compared to maximum gap spacing with small sizes of control rods.
- (6)
- The present numerical study shows that the lattice Boltzmann method is an effective technique to solve the problems of flow behind bluff bodies.
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
Nomenclature
Cd | component of drag force |
Cl | component of lift force |
Cdmean | mean drag coefficient |
Cdrms | root-mean-square value of drag coefficient |
Clrms | root-mean-square value of lift coefficient |
d | size of main rod |
d1 | size of control rods |
Fd | in-line force component |
fi | particle density distribution function |
fi(eq) | particle equilibrium distribution function |
Fl | transverse force component |
fs | vortex shedding frequency |
g | spacing value |
Ld | downstream distance |
Lu | upstream distance |
Re | Reynolds number |
s | distance between main rod and control rods |
St | Strouhal number |
U∞ | uniform inflow velocity |
Q | number of particles |
Greek Symbols | |
ωi | weighting coefficients |
τ | stability parameter |
ν | kinematic viscosity |
ρ | density of fluid particle |
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10 Points | 20 Points | 40 Points | |
---|---|---|---|
Cdmean | 1.211 (1.69%) | 1.2320 (2.3%) | 1.262 |
Cdrms | 0.019 (16.7%) | 0.0161 (8.2%) | 0.0150 |
Clrms | 0.2802 (9.8%) | 0.256 (7.1%) | 0.242 |
Re | Cdmean (Re = 100) | St (Re = 100) | Cdmean (Re = 150) | St (Re = 150) |
---|---|---|---|---|
Present | 1.4868 | 0.1499 | 1.508 | 0.1549 |
Experimental [23] | 1.60 | 0.141 | 1.492 | 0.142 |
Experimental [24] | 1.512 | 0.1402 | 1.450 | 0.150 |
Numerical [25] | 1.444 | 0.145 | 1.408 | 0.161 |
Numerical [26] | 1.54 | 0.154 | 1.56 | 0.164 |
Numerical [27] | 1.480 | 0.140 | 1.474 | 0.1528 |
Cases | L × H (g = 1) | L × H (g = 2) | L × H (g = 3) | L × H (g = 4) | L × H (g = 5) |
---|---|---|---|---|---|
d1 = 4 | 889 × 221 | 929 × 221 | 969 × 221 | 1009 × 221 | 1049 × 221 |
d1 = 8 | 897 × 221 | 937 × 221 | 977 × 221 | 1017 × 221 | 1057 × 221 |
d1 = 12 | 905 × 221 | 945 × 221 | 985 × 221 | 1025 × 221 | 1065 × 221 |
d1 = 16 | 913 × 221 | 953 × 221 | 993 × 221 | 1033 × 221 | 1073 × 221 |
d1 = 20 | 921 × 221 | 961 × 221 | 1001 × 221 | 1041 × 221 | 1081 × 221 |
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Manzoor, R.; Khalid, A.; Khan, I.; Shams-Ul-Islam; Baleanu, D.; Nisar, K.S. Numerical Simulation of Drag Reduction on a Square Rod Detached with Two Control Rods at Various Gap Spacing via Lattice Boltzmann Method. Symmetry 2020, 12, 475. https://doi.org/10.3390/sym12030475
Manzoor R, Khalid A, Khan I, Shams-Ul-Islam, Baleanu D, Nisar KS. Numerical Simulation of Drag Reduction on a Square Rod Detached with Two Control Rods at Various Gap Spacing via Lattice Boltzmann Method. Symmetry. 2020; 12(3):475. https://doi.org/10.3390/sym12030475
Chicago/Turabian StyleManzoor, Raheela, Asma Khalid, Ilyas Khan, Shams-Ul-Islam, Dumitru Baleanu, and Kottakkaran Sooppy Nisar. 2020. "Numerical Simulation of Drag Reduction on a Square Rod Detached with Two Control Rods at Various Gap Spacing via Lattice Boltzmann Method" Symmetry 12, no. 3: 475. https://doi.org/10.3390/sym12030475
APA StyleManzoor, R., Khalid, A., Khan, I., Shams-Ul-Islam, Baleanu, D., & Nisar, K. S. (2020). Numerical Simulation of Drag Reduction on a Square Rod Detached with Two Control Rods at Various Gap Spacing via Lattice Boltzmann Method. Symmetry, 12(3), 475. https://doi.org/10.3390/sym12030475