Effect of pipe diameter changes on the properties of fluid in closed channels using Osborne Reynold Apparatus

Conference on Innovation in Technology and Engineering Science

工业技术（总论）

Nur, A.^1 ; Afrianita, R.^1 ; Ramli, R.D.T.F.^1

Department of Environmental Engineering, Faculty of Engineering, Universitas Andalas, Padang

25163, Indonesia^1

关键词: Channel diameters;    Coefficient of determination;    Correlation analysis;    Correlation coefficient;    Fluid distribution;    Friction factors;    Pipe diameter;    Test equipments;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/602/1/012058/pdf
DOI  :  10.1088/1757-899X/602/1/012058

学科分类：工业工程学

来源: IOP

【 摘 要 】

The flow profile in the channel will affect the velocity of fluid distribution. One factor that influences the flow profile in a closed channel is its diameter. Therefore, this study aims to analyze the effect of changes in pipe diameter on the nature of fluid flow in closed channels using Osborne Reynold Apparatus. This tool uses a vertical glass pipe with a diameter of 1 cm and 3 cm. The operation of the Osborne Reynolds Apparatus is carried out by flowing the fluid through a channel with a PVC type pipe pumped with a Submersible pump into an acrylic tub, then passing a vertical clear glass pipe. The Reynolds value obtained from each test equipment is 1,323-5,748 with friction factor 0,03-0,04 on Osborne Reynold Apparatus 3 cm diameter and 1,103-4,512 with friction factor value 0,03-0,05 at Osborne Reynold Apparatus 1 cm diameter. It is known that the greater the channel diameter, the greater the Reynolds value will be, while the friction factor will be smaller. Regression and correlation analysis are carried out with the aim to determine the relationship the values obtained and it is obtained that there is a very strong relationship among time, discharge, flow velocity, Reynolds number and friction factor in each test equipment. It is evidenced with the coefficient of determination and the correlation coefficient obtained (R2 = 0.994-1,000 and r = 0.981-1,000).