Relationship between Hazen-William coefficient and Colebrook-White friction factor: Application in water network analysis
نویسندگان
چکیده
Although Darcy-Weisbach (D-W) equation has been accepted as a standard resistance equation in pressurized flow, some researchers and engineers still prefer to utilize Hazen-Williams (H-W) equation for analyzing water distribution networks (WDNs) in practice. The main difference between roughness coefficients of these two resistance equations is that D-W friction factor varies with Reynolds number of flow field while H-W coefficient is usually considered as a fixed value for a specific material. In this paper, discrepancies between solving three pipe networks using these two resistance equations are investigated. These networks were solved using two hydraulic solver named gradient algorithm and finite element method assuming different values for roughness values. In order to compare the results, equivalent friction factors based on these two resistance equations were required to be used. In this regard, several methods for computing equivalent roughness values were selected from the literature. The first category uses Reynolds number and pipe diameter data for converting D-W friction factor to H-W coefficients and vice versa. On the other hand, the second one is exclusively a function of pipe diameter. The obtained results demonstrate that errors of solving networks with H-W coefficients are not significant in comparison with the results obtained by the D-W equation. More importantly, the method, which only exploits pipe diameter for roughness conversion, is appeared to be not reliable for some cases considered in this paper.
منابع مشابه
The Relationship between Constant Friction Factor and Coefficient of Friction in Metal Forming using Finite Element Analysis
Frictional shear stress is usually determined by utilizing the coefficient of friction or the constant friction factor models. The present study deals with finite element analysis of double cup extrusion process to determine the relationship between constant friction factor (m) and coefficient of friction (µ), since the metal flow in this process is very sensitive to frictional conditions. Ther...
متن کاملThe Colebrook-White formula for pipe networks
SUMMARY Flow resistance laws, as used for example in water-supply pipe networks, are formulae relating the volume ow rate q along a pipe to the pressure-head diierence t between its ends, q = (t). is monotonic. The simple Hazen-Williams power \law" is often used: it has been claimed that the more complicated Colebrook-White law (CW) better represents aspects of the experimental data. Equilibriu...
متن کاملIntelligent Flow Friction Estimation
Nowadays, the Colebrook equation is used as a mostly accepted relation for the calculation of fluid flow friction factor. However, the Colebrook equation is implicit with respect to the friction factor (λ). In the present study, a noniterative approach using Artificial Neural Network (ANN) was developed to calculate the friction factor. To configure the ANN model, the input parameters of the Re...
متن کاملSolution of the Implicit Colebrook Equation for Flow Friction Using Excel
Empirical Colebrook equation implicit in unknown flow friction factor (λ) is an accepted standard for calculation of hydraulic resistance in hydraulically smooth and rough pipes. The Colebrook equation gives friction factor (λ) implicitly as a function of the Reynolds number (Re) and relative roughness (ε/D) of inner pipe surface; i.e. λ0=f(λ0, Re, ε/D). The paper presents a problem that requir...
متن کاملEffects of Valve Closing Law and Unsteady Friction Model on Damping Pressure Waves in a Network
Water-hammer is a transient condition which may occur in a network as a result of rapid or slow valve closures, pump failures, changes in turbine loading, etc. It creates high and low pressure waves which travel along the system and decay as a result of wall shear stress. Comparison o experimental and theoretical results revealed the failure of steady or quasi-steady models in correctly predict...
متن کامل