contributor author | Robiro Molina | |
contributor author | Shoubo Wang | |
contributor author | Gene Kouba | |
contributor author | Luis E. Gomez | |
contributor author | Ram S. Mohan | |
contributor author | Ovadia Shoham | |
date accessioned | 2017-05-09T00:27:39Z | |
date available | 2017-05-09T00:27:39Z | |
date copyright | December, 2008 | |
date issued | 2008 | |
identifier issn | 0195-0738 | |
identifier other | JERTD2-26558#042701_1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/137797 | |
description abstract | A novel gas-liquid cylindrical cyclone (GLCC© , ©The University of Tulsa, 1994), equipped with an annular film extractor (AFE), for wet gas applications has been developed and studied experimentally and theoretically. Detailed experimental investigation of the modified GLCC has been carried out for low and high pressure conditions. The results show expansion of the operational envelope for liquid carry-over and improved performance of the modified GLCC. For low pressures, the modified GLCC can remove all the liquid from the gas stream, resulting in zero liquid carry-over (separation efficiency=100%). For high pressure conditions, the GLCC with a single AFE has separation efficiency >80% for gas velocity ratio, vsg/vann≤3. A mechanistic model and an aspect ratio design model for the modified GLCC have been developed, including the analysis of the AFE. The model predictions agree with the experimental data within ±15% for low pressure and ±25% for high pressure conditions. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Wet Gas Separation in Gas-Liquid Cylindrical Cyclone Separator | |
type | Journal Paper | |
journal volume | 130 | |
journal issue | 4 | |
journal title | Journal of Energy Resources Technology | |
identifier doi | 10.1115/1.3000101 | |
journal fristpage | 42701 | |
identifier eissn | 1528-8994 | |
keywords | Pressure | |
keywords | Flow (Dynamics) | |
keywords | Separation (Technology) | |
keywords | High pressure (Physics) | |
keywords | Artificial neural networks | |
keywords | Swirling flow AND Nozzles | |
tree | Journal of Energy Resources Technology:;2008:;volume( 130 ):;issue: 004 | |
contenttype | Fulltext | |