Numerical simulation of thermally developing turbulent flow through a cylindrical tube
- 8 Downloads
Abstract
A numerical study was conducted using the finite difference technique to examine the mechanism of energy transfer as well as turbulence in the case of fully developed turbulent flow in a circular tube with constant wall temperature and heat flow conditions. The methodology to solve this thermal problem is based on the energy equation, a fluid of constant properties in an axisymmetric and two-dimensional stationary flow. The global equations and the initial and boundary conditions acting on the problem are configured in dimensionless form in order to predict the characteristics of the turbulent fluid flow inside the tube. Using Thomas’ algorithm, a program in FORTRAN was developed to numerically solve the discretized form of the system of equations describing the problem. Finally, using this elaborate program, we were able to simulate the flow characteristics, for changing parameters such as Reynolds, Prandtl, and Peclet numbers along the pipe to obtain the important thermal model. These are discussed in detail in this work. Comparison of the results to published data shows that results are a good match to the published quantities.
Keywords
Finite difference method Nusselt number Fully developed turbulent flow Reynolds number Pipe flowNomenclature
- Aj
coefficient in Eq. (36)
- Bj
coefficient in Eq. (36)
- Cj
coefficient in Eq. (36)
- Cp
specific heat at constant pressure, Jkg−1 K−1
- C1, C2
k–ε model constants
- D
inner diameter, m
- Dj
coefficient in Eq. (36)
- E
inner energy (J/kg), dimensionless variable
- f
fanning friction factor
- F
function
- k
turbulent kinetic energy, Jkg−1
- L
tube length (m)
- M
Tridiagonal matrix of dimensions (N × N)
- NuD
Nusselt number
- NuiD
local Nusselt number
- P
mean pressure, Pa
- Pr
Prandtl number
- Prt
turbulent Prandtl number
- qω
heat transfer rate at the wall
- r
radial coordinate, m
- R
dimensionless radial coordinate
- ReD
Reynolds number
- t
time, s
- T
temperature, K
- Tb
bulk temperature, K
- Tc
centerline temperature, K
- Ti
Initial/Entrance temperature, K
- Tω
wall temperature, K
- \( \overline{T} \)
wall temperature, K
- uc
centerline mean velocity, ms−1
- ui
mean velocity component, ms−1
- \( \overline{u} \)
mean velocity, ms−1
- \( {\overline{\mathrm{u}}}_{\mathrm{m}} \)
average velocity, ms−1
- U
dimensionless velocity
- \( \overline{v} \)
radial velocity component, ms−1
- xi
Cartesian coordinate, m
- y+
dimensionless distance from cell center to the nearest wall
- z
axial coordinate, m
- Z
dimensionless axial coordinate
Greek symbols
- α
thermal diffusivity, m2 s−1
- δij
Kronecker symbol
- ρ
density of fluid, kgm−3
- θ
dimensionless temperature
- ε
turbulent dissipation rate, m3 s−2
- єh
eddy viscosity, kgm−1 s−1
- μ
dynamic viscosity, kgm−1 s−1
- μt
eddy viscosity, kgm−1 s−1
- Φ
scalar quantities
- τω
wall-shear stress
- λ
thermal conductivity, Wm−1 K−1
Subscripts
- i, j, k
Unit direction vector of Cartesian coordinates
- local
local value
- out
Outlet
- t
Turbulence
- wall
tube wall
Notes
Acknowledgments
The authors declare that they have no conflicts of interest in conducting work to any organization or funding bodies. The authors would like to thank the reviewers for their valuable comments.
References
- 1.Wang W, Li D, Hu J, Peng Y, Zhang Y, Li D (2005) Numerical simulation of fluid flow and heat transfer in a plasma spray gun. Int J Adv Manuf Technol 26(5–6):537–543CrossRefGoogle Scholar
- 2.Li C, Zhang X, Zhang Q, Wang S, Zhang D, Jia D, Zhang Y (2014) Modeling and simulation of useful fluid flow rate in grinding. Int J Adv Manuf Technol 75(9–12):1587–1604CrossRefGoogle Scholar
- 3.Faraji A, Goodarzi M, Seyedein SH, Barbieri G, Maletta C (2015) Numerical modeling of heat transfer and fluid flow in hybrid laser–TIG welding of aluminum alloy AA6082. Int J Adv Manuf Technol 77(9–12):2067–2082CrossRefGoogle Scholar
- 4.Perri GP, Bräunig M, Di Gironimo G, Putz M, Tarallo A, Wittstock V (2016) Numerical modelling and analysis of the influence of an air cooling system on a milling machine in virtual environment. Int J Adv Manuf Technol 86(5–8):1853–1864CrossRefGoogle Scholar
- 5.Wang X, Yu T, Sun X, Shi Y, Wang W (2016) Study of 3D grinding temperature field based on finite difference method: considering machining parameters and energy partition. Int J Adv Manuf Technol 84(5–8):915–927Google Scholar
- 6.Lv Z, Hou R, Tian Y, Huang C, Zhu H (2018) Numerical study on flow characteristics and impact erosion in ultrasonic assisted waterjet machining. Int J Adv Manuf Technol 98(1–4):373–383CrossRefGoogle Scholar
- 7.Hui G, Liejin G (2001) Numerical investigation of developing turbulent flow in a helical square duct with large curvature. J Therm Sci 10(1):1–6CrossRefGoogle Scholar
- 8.Roy G, Vo-Ngoc D, Bravine V (2004) A numerical analysis of turbulent compressible radial channel flow with particular reference to pneumatic controllers. J Therm Sci 13:24–29CrossRefGoogle Scholar
- 9.Eiamsa-ard S, Changcharoen W (2011) Analysis of turbulent heat transfer and fluid flow in channels with various ribbed internal surfaces. J Therm Sci 20(3):260–267CrossRefGoogle Scholar
- 10.Taler D (2017) Simple power-type heat transfer correlations for turbulent pipe flow in tubes. J Therm Sci 26(4):339–348CrossRefGoogle Scholar
- 11.Tian R, Dai X, Wang D, Shi L (2018) Study of variable turbulent Prandtl number model for heat transfer to supercritical fluids in vertical tubes. J Therm Sci 27(3):213–222CrossRefGoogle Scholar
- 12.Taler D (2016) A new heat transfer correlation for transition and turbulent fluid flow in tubes. Int J Therm Sci 108(2016):108–122CrossRefGoogle Scholar
- 13.Belhocine A, Wan Omar WZ (2016) Numerical study of heat convective mass transfer in a fully developed laminar flow with constant wall temperature. Case Stud Therm Eng 6:116–127CrossRefGoogle Scholar
- 14.Belhocine A (2016) Numerical study of heat transfer in fully developed laminar flow inside a circular tube. Int J Adv Manuf Technol 85(9):2681–2692CrossRefGoogle Scholar
- 15.Belhocine A, Wan Zomar WZ (2017) Exact Graetz problem solution by using hypergeometric function. Int J Heat Technol 35(2):347–353. https://doi.org/10.18280/ijht.350216 CrossRefGoogle Scholar
- 16.Belhocine A, Wan Omar WZ (2018) Similarity solution and Runge Kutta method to a thermal boundary layer model at the entrance region of a circular tube. Revista Cientifica 31(1):6–18CrossRefGoogle Scholar
- 17.Bryant DB, Sparrow EM, Gorman JM (2018) Turbulent pipe flow in the presence of centerline velocity overshoot and wall-shear undershoot. Int J Therm Sci 125:218–230CrossRefGoogle Scholar
- 18.Wilcox DC (1998) Turbulence modeling for CFD, 2nd edn. DCW Industries, La CanadaGoogle Scholar
- 19.Kays WM, Crawford ME (1993) Convective heat and mass transfer, 3rd edn. McGraw-Hill, New YorkGoogle Scholar