DEVELOPED LAMINAR FLOW IN PIPE USING COMPUTATIONAL FLUID DYNAMICS M.

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DEVELOPED LAMINAR FLOW IN PIPE USING COMPUTATIONAL FLUID DYNAMICS M. Sahu 1, Kishanjit Kumar Khatua and Kanhu Charan Patra 3, T. Naik 4 1, &3 Department of Civil Engineering, National Institute of technology, Rourkela-769008, 4 Padmanava college of engineering, Rourkela-769008, india SYNOPSIS In the analysis of water distribution networks, the design parameters are the lengths, diameters, and the coefficients friction of a pipe. Although some of these parameters such as the pipe lengths and the pipe diameters would remain the same at different points but the coefficients friction would change during the life of network and therefore they can be treated as imprecise information. A computational fluid dynamics (CFD) model of fully-developed laminar flow in a pipe is derived and implemented. This well known problem is used to introduce the basic concepts of CFD including, the finite-volume mesh, the discrete nature of the numerical solution, and the dependence of the result on the mesh refinement. The Numerical results are presented for a sequence of finer meshes, and the dependency of the truncation error on mesh size is verified experimentally. The comparison test results validate the analysis. 1. INTRODUCTION The analysis of pipe flow is very important in engineering point of view. A lot of engineering problem dealt with it. Due to rigorous engineering application and implications the analysis is important. The flow of real fluid exhibits viscous effects in pipe flow. Here this effect is identified for laminar flow condition. The relationships defining fluid friction will be developed and will be defined to be applicable to laminar flow situations. The application of momentum equation is used to evaluate the friction loss coefficient. The expression defining the velocity distribution in a pipe flow across laminar flow is derived and demonstrated [1]. Hydro dynamically developed flow is achieved in a pipe after a certain length i.e. entrance length L d, when the erect of viscosity reaches the center of the pipe. This is the point of concern of this experiment and by the help of CFD analysis package FLUENT, the problem is analyzed. After this point, the flow is essentially one-dimensional. Periodic boundary conditions are used when the physical geometry of interest and the expected pattern of the flow solution have a periodically repeating nature. 1Mrityunjay Sahu, B. Tech. Final year project student, Civil Engineering Students, NIT, Rourkela-769008, India, mrityunjay.nitrkl@gmail.com Asst. Professor, Department of Civil Engineering, NIT, Rourkela-769008, India, kkkhatua@yahoo.com 3 Professor, Department of Civil Engineering, NIT, Rourkela-769008, India, prof_kcpatra@yahoo.com 4. Trupti naik, faculty of padmanava college of engineering, Rourkela-769008,india, trupti_trn@yahoo.com

. STEADY AND UNIFORM LAMINAR FLOW IN CIRCULAR CROSS-SECTION PIPES (GOVERINGING EQUATION) The analysis of incompressible laminar flow will be done by the momentum equation of an element of flow in a conduit: the application of the shear stress-velocity relationship and knowledge of flow condition at the pipe wall which allows constant of integration to be evaluated.[3].1 Assumptions The flow acceleration is zero the resultant force on the element is zero for the steady flow condition. Fig. 1 Forces acting on annular element in a laminar pipe flow situation. From Fig. 1.1 Applying change of momentum equation yields, dp d p πrdr ( p + dx)πrdr + τ πrdr πrτδx + (πrτdx) δr + W sin θ = 0 (1) dx dr dz Where W = ρgδxδr πr, sinθ = dx Now reducing the equation to:- dp 1 d dz ( rτ ) ρg = 0 () dx dr dr dx

By dividing r r we get in above equation and rearranging;- d 1 d ( p + ρgz) + ( rτ ) = 0 dx r dr Where (p + gz) is piezometric pressure is independent of r By integrating above equation w.r.t r we get:- r d ( ) + + = 0 p + ρgz rτ ε dx (3) (4) The condition at pipe centerline are substituted in to above expression, then = r = 0 The shear stress-velocity gradient expression of above equation is employed in the direction of measurement of distance r from the center of the pipe, rather than the use of y measured from the pipe wall hence, du τ = µ dr (5) Substituting for above equation (5) we get r d du ( p + ρgz) = rµ ε dx dr (6) And r d ε du = ( p + ρgz) + dr µ dx r µ (7) Integrating w.r.t. yields an expression for the velocity variation across the flow in terms of r and known system parameters: r d ε ' u = ( p + ρgz) + ln r + ε 4µ (8) dx µ Values of, can be evaluated from boundary conditions at r = 0 and r = R. At r = R i.e. at the wall of the pipe, the local flow velocity u is zero hence:- R d u = ( p + ρgz) 4µ dx (9) R r d u = p + ρgz 4µ dx And ( ) ( ) (10) This above equation describes the variation of local fluid u across the pipe and, from the form of the equation; the velocity profile can be seen to be parabolic. This equation also has a negative sign, due to fact that the pressure gradient will be negative in the flow direction. The maximum velocity will occur on the pipe centerline, i.e. r = 0; hence, ( R r ) d umax imum = ( p + ρgz) 4µ dx (11) Where 3. ENTRANCE LENGTH Here the flow is internal flow which is constrained by boundary walls. The viscous effect will grow and meet also permeate the entire length of flow. In the pipe through the entrance region a nearly in viscid upstream flow converges and enters the tube. The viscous boundary layer grow downstream retarding the axial flow velocity u( r, x) at the wall and thereby accelerating the center-core flow to maintain the incompressible continuity requirement

Q = u. da = constant (1) At a finite distance from the entrance the boundary layer merges and in viscid or viscous flow disappears. The tube is entirely viscous and axial velocity adjust slightly further until at x = Ld. After this it no longer changes with varying x and is said to be fully developed.downstream the flow is almost constant and with constant shear.this length is generally the ENTRANCE LENGTH. 4. EXPERIMENTAL ANALYSIS On flow of water in long, straight and uniform diameter pipes indicated that loss due to friction in a pipe in direct proportion with the velocity head, h f and the distance between two sections, L and inversely proportional to pipe diameter D. Introducing a coefficient of proportionality f called the friction factor, Darcy and Weisbach proposed the following equation for head loss due to friction in pipe [4]. flv h f = (13) gd Making the dimensional, analysis of the problem of pipe friction, one finds that k f = F Re, D Where = VD,[4] the Reynolds s number Re ν =mean height of roughness (14) k = relative roughness. D Equation () suggests that the friction factor for pipes, having same Reynolds s number, roughness pattern and relative roughness will be same. Basically the study of our flow having laminar flow condition. So for laminar flow condition i.e Re < 000, f 64 = (15) Re Hence the headless in laminar condition is independent of surface roughness. h f = velocity head, = Reynolds s number, Re f = skin friction factor, ν = kinematic viscosity, D = diameter of the pipe, 5. FLUENT: Fluent is computational fluid dynamics (CFD) software package to stimulate fluid flow problems. It uses the finite volume method to solve the governing equations for a fluid. It provides the capability to use different physical models such as incompressible or compressible, in viscid or viscous, laminar or turbulent etc.geometry and grid generation is doing GAMBIT[7] which is the preprocessor bundled with FLUENT[6] A Solution can be obtained by following these nine steps;

1. Create Geometry in GAMBIT.. Mesh Geometry in GAMBIT. 3. Set Boundary Types in GAMBIT. 4. Set Up Problem in FLUENT. 5. Solve! 6. Analyze Results. 7. Refine Mesh. 5.1Modeling Details The pipe is represented in D by a rectangle.the pipe geometry is displayed in figure The procedure for solving the problem is; Create the geometry Set the material properties and boundary conditions Mesh the domain Convergence limit is met or the number of iterations specified by the users is achieved and flow properties are set through parameterized case files. FLUENT converges the problem until the convergence limit is met or 100 number of iterations as specified is achieved. 5. Geometry The geometry consists of a wall, a centerline, and periodic inlet and outlet boundaries. The radius and the length of the pipe can be specified. Fig 5.1 Schematic of the Flow Domain 5.3 Mesh Coarse fine mesh types are available. Mesh density varies based upon the Refinement Factor. The Refinement Factor values for the mesh densities are given in table.1 Table-5.3 Mesh Density Refinement Factor Fine 1 Medium 1.414 Coarse

5.4 Refinement Factor Using the Refinement Factor, First Cell Height is calculated with the following formula Re finemnetfactor YPlus ( CharacteristicsLength Vis cosity) FirstCellHeight = Reynolds 0.875 0.875 0.875 ( 0.199 Velocity Density ) number is used to determine Y plus.y plus values for turbulent flow conditions are summarized in table 5.3(A) Table5.3 (A): Flow Regime vs. Reynolds Number Reynolds Number Flow Regime Y plus/first Cell Height Re = 000 Laminar First Cell Height = Pipe Radius/38 000<Re<15000 Turbulent, Enhanced Wall Treatment Y plus<5.0 Re = 15000 Turbulent,Standard Wall Functions Y plus>30 The edges are meshed using the First Cell Height and the calculated number of intervals.the entire domain is meshed using a map scheme in figure 5.3(A 5.4 Physical models for FLUENT Based on the Reynolds number, the following physical models are recommended; Table 5.4: Turbulence Models Based on Pipe Reynolds Number Re<000 Laminar Flow 000 = Re<10000 k- model 10000 = Re<15000 k-model Re = 15000 k-model If turbulence is selected in the Physics form of the operation menu, the appropriate turbulence model and wall treatment is applied based upon the Reynolds number. 5.5 Material Properties The default material is air.the following material properties can be specified; density viscosity Other materials such as Glycerin, Water and a User defined fluid can also be selected. 5.6 Boundary conditions The mass flow rate or the fluid can be specified.the following boundary conditions are assigned in FLUENT[6]; Boundary assigned as Table 5.6 boundary conditions Inlet Outlet Centerline Pipe Wall Velocity inlet Pressure outlet Symmetry Wall

5.7 SOLUTION The mesh is exported to FLUENT along with the physical properties and the initial conditions specified. The material properties and the initial conditions are read through the case file.instructions for the solvers are provided through a journal file. When the solution is converged or the specified number of iterations is met, FLUENT [6] exports data. 5.8 SCOPE AND LIMITATIONS Transitional flow occurs between Reynolds numbers of <000(laminar flow)[4].to improve accuracy of predictions, the - turbulence model was applied.however, a prediction error of five percent or more exists in the transitional region.difficulty in obtaining convergence or poor accuracy may result if input values are used outside the upper and lower limits suggested in the problem overview. 5.9 Friction factor In this soft-ware package friction factor [6] is calculated by taking density and velocity in to reference. Because the numerical differential equation depends on density as well as velocity. The friction factor equation used in it as τ f = 0.5ρ 5.10 EXERCISE RESULTS Report XY Plots v Where = density of the fluid; V= average velocity of the fluid; The Plots reported by Flow Lab include: Axial velocity distribution along axis of pipe. Friction factor. Available only when the flow is modeled as turbulent.an axial distribution of velocity along Fig. 5.10(A) friction factor V/S position of the axis

Fig. 5.10(B) axial velocity v/s axis of the pipe 6. CONCLUSION In this study the accuracy of numerical modeling of the laminar equation is investigated to determine the friction factor of pipe. The numerical differential equation is iterated and converged through the CFD package FLUENT[6] where the friction factor is found to be.0151 at the entrance length of.7068 m. the experimental result shows the friction factor is.0157.the degree of accuracy of the numerical solution is checked with the experimental work done. This examination results indicates that the proposed model can be used with the highest degree of accuracy to determine the friction factor in comparison to the other methods. Nomenclature : P = the flow static pressure, W = element weight, = shear stress at distance r,, = constant in equation = density of fluid, = dynamic viscosity. D = diameter of pipe, = Reynolds s number, Re = shear stress along the wall, = density of liquid, v = velocity of the flow, f = skin friction factor, κ = relative height of roughness,

References [1] White, Frank M., Viscous Fluid Flow, International Edition, McGraw-Hill, 1991. [] Adrian Bejan, Convective Heat Transfer, John Wiley and Sons, 1994 [3] Stitching, H., Boundary-Layer Theory, 7thEdition.mcGraw-Hill, 1979. [4] Douglas. Gasiorek, A.Swaffield, Fluid Mechanics, PEARSON Education Asia, 00 [5] White, Frank M, Fluid Mechanics International Edition, McGraw-Hill [6] Fluent (Ansys corporation:) 6.3.6 user manual guide. [7] Gambit 6.3.6 user manual guide. Certificate The author(s) certify that the paper titled DEVELOPED LAMINAR FLOW IN PIPE USING COMPUTATIONAL FLUID DYNAMICS and submitted for consideration for 7 th International R&D Conference to be held in Bhubaneswar (India) from 4-6 February 009, has not been published or presented at any other forum, in the proposed form.