Prediction of pressure drop using artificial neural network for non-Newtonian liquid flow through piping components (Record no. 174953)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01527nab a2200205 4500 |
| 008 - CÓDIGOS DE INFORMACIÓN DE LONGITUD FIJA - INFORMACIÓN GENERAL | |
| Campo de control de longitud fija | 260224s2010 xxu |
| 245 00 - TITULO | |
| Título | Prediction of pressure drop using artificial neural network for non-Newtonian liquid flow through piping components |
| 260 ## - PUBLICACION, DISTRIBUCION, ETC | |
| Lugar de publicación, distribución, etc. | |
| Nombre de publicador, distribuidor, etc. | |
| Fecha de publicación, distribución, etc. | abr. 2010 |
| 270 ## - FECHA DE CARGA | |
| Fecha de carga | 13/07/2010 ; 13/07/2010 |
| 300 ## - DESCRIPCION FISICA | |
| Otra extensión | 8 p. ; 187-194 |
| 520 ## - RESUMEN, ETC | |
| Resumen | Transcripción del resumen del autor. Numerous investigations have shown that ANN can be successful for correlating experimental data sets for macroscopic single phase flow characteristics. The approach proved its worth when rigorous fluid mechanics treatment based on the solution of first principle equations is not tractable. Evaluation and prediction of the frictional pressure drop across different piping components such as orifices, gate and globe valves and elbows in 0.0127 m piping components for non-Newtonian liquid flow are manifested in this paper. The experimental data used for the prediction is taken from our earlier work (Bandyopadhyay and Das, 2007). The proposed approach towards the prediction is done using a multilayer perceptron (MLP), which is trained with backpropagation algorithm because the function approximation is achieved with very good accuracy using MLPs. |
| 581 ## - ESTADO DE COLECCIÓN | |
| Estado de colección | 3-4 |
| 773 0# - CORRECCIÓN | |
| Título | Journal of Petroleum Science & Engineering |
| Partes relacionadas | 71 |
| 942 ## - DESC. DE MATERIAL | |
| Tipo de item KOHA | Artículo de Revista |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Bar, N. |
| 9 (RLIN) | 45633 |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Bandyopadhyay, T.K. |
| 9 (RLIN) | 45634 |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Biswas, M.N. |
| 9 (RLIN) | 45635 |
| Biblioteca propietaria | Biblioteca actual | Fecha de adquisición | Inventario | Total de préstamos | Inventario | Fecha de carga | Tipo de item KOHA |
|---|---|---|---|---|---|---|---|
| Biblioteca Alejandro Angel Bulgheroni | Biblioteca Alejandro Angel Bulgheroni | 05/03/2026 | 200046833 | 200046833 | 05/03/2026 | Artículo de Revista |
