Author(s): Balkrishna Shankar Chavan

Linked Author(s): Balkrishna Shankar Chavan

Keywords: Empirical; Friction function; Friction factor Roughness Reynolds number;

Abstract: Estimating Friction function Bs is complex because it is sensitive to changes in size, shape, spacing and spacing pattern that is It is sensitive to conveyance and shape factors. Many researchers such as Colebrook- White, Afzal, Yalin and Garcia improved its estimation. Various parameters of fluid flow and geometrical section are combined to describe the friction function. Estimation of friction loss in a flow is important step in finalizing discharge passing through a water conductor system. surface roughness is present, there is no universality of scaling of the friction factor with respect to the traditional Reynolds number Re, and different expressions are evolved. Friction factor important role in the computation of discharge, deciding geometry of the flow section. In the past attempts were made to express Friction function Bs as a function of Reynolds number. Re can be estimated with empirical equation. Because of its complexity so far published literature is not enough to arrive at generalized equation for the computation of friction function accurately. There is need to analyze and develop empirical equations for friction function. In this paper attempt has been made to analyze 878 published data collected from various sources such as various project sites globally(123 observations). and from laboratory (755 observations). Data collected include geometrical parameters of flow i.e. width, depth and longitudinal slope. Other parameters are grain size, roughness, shear velocity, discharge and fluid characteristics such as density, viscosity and specific weight. Present works include; the analysis of data for the computation of Reynolds number for the estimation of friction function with respect to depth of flow and grain roughness. Mathematical simple equations are proposed obtained from plots were based on the analysis of data for depth of flow and roughness.

DOI: https://doi.org/10.3850/38WC092019-0188

Year: 2019