BEHAVIOUR OF NON-LINEAR FLOW AND APPLICATION OF NEURAL NETWORK IN CONVERGING BOUNDARIES
| Autor: | N. Bhanu Prakasham Reddy, H. Md. Azmathullah, S. N. Londhe, P. Rama Mohan Rao |
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| Rok vydání: | 2005 |
| Předmět: |
Fluid Flow and Transfer Processes
Environmental Engineering Characteristic length business.industry Mathematical analysis Diagram Reynolds number symbols.namesake Nonlinear system Flow (mathematics) Square root symbols Artificial intelligence Porous medium business Mathematics Permeameter Water Science and Technology Civil and Structural Engineering |
| Zdroj: | ISH Journal of Hydraulic Engineering. 11:120-122 |
| ISSN: | 2164-3040 0971-5010 |
| DOI: | 10.1080/09715010.2005.10514774 |
| Popis: | The objective of this study is to develop NNCF (Neural Network on Convergent Flow) models on “Convergent Flow Through Homogeneous Porous Media” to predict the friction factor (fk) and Reynolds number (Rk) for different (Cw) values, when the media is packed in convergent boundaries. This paper presents the results of experiments conducted on Convergent flow permeameter using crushed rock of size 4.73 mm as the media and water as fluid. Theoretical curves, similar to the Moody diagram used in pipe, relating fk and R k for different Cw values taken as the third parameter have been developed and the experimental data and the data predicted by using NNCF models are plotted on theoretical curves using square root of intrinsic permeability as characteristic length. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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