Measurement and modelling of organic fouling deposition in ultrafiltration by ultrasonic transfer signals and reflections.
| dc.contributor.author | Li, Jianxin | |
| dc.contributor.author | Sanderson, R | |
| dc.contributor.author | Hallbauer, D | |
| dc.contributor.author | Hallbauer-Zadorozhnaya, V Y | |
| dc.date.accessioned | 2016-08-04T09:15:19Z | |
| dc.date.available | 2016-08-04T09:15:19Z | |
| dc.date.issued | 2002 | |
| dc.date.updated | 2016-08-04T07:54:49Z | |
| dc.description.abstract | The development of a non-destructive, real-time observation technique to detect and monitor fouling during liquid separation processes is of great importance to the development of strategies to improve operating conditions. In this study ultrasonic time-domain reflectometry (UTDR) was used to measure organic fouling, in real time, during ultrafiltration (UF) with polysulfone (PS) membranes. The feed solution was a paper-mill effluent, which contains breakdown products of lignin or lignosulphonate, from a wastewater treatment plant. An asymmetric, composite PS membrane can be detected by UTDR. Experimental results showed that the ultrasonic signal response can be used to monitor fouling-layer formation and growth on the membrane in real-time. Traditional flux measurements and analysis of the membrane surface by microscopy corroborated the UTDR results. Further, the differential signal developed indicate the state and progress of the fouling layer and gives warning of advanced fouling during operation. Moreover, a predictive modelling program — ultrasonic reflection (USRF) was developed to model the fouling deposits. This contributed to a better understanding of the fouling layer formation and its recognition during ultrasonic testing. This modelling was applied to model the density and thickness of a fouling layer on a membrane surface so as to predict the fouling behavior. The modelling results were in a good agreement with the actual observations. | en_ZA |
| dc.identifier | http://dx.doi.org/10.1016/S0011-9164(02)00466-6 | |
| dc.identifier.apacitation | Li, J., Sanderson, R., Hallbauer, D., & Hallbauer-Zadorozhnaya, V. Y. (2002). Measurement and modelling of organic fouling deposition in ultrafiltration by ultrasonic transfer signals and reflections. <i>Desalination</i>, http://hdl.handle.net/11427/21109 | en_ZA |
| dc.identifier.chicagocitation | Li, Jianxin, R Sanderson, D Hallbauer, and V Y Hallbauer-Zadorozhnaya "Measurement and modelling of organic fouling deposition in ultrafiltration by ultrasonic transfer signals and reflections." <i>Desalination</i> (2002) http://hdl.handle.net/11427/21109 | en_ZA |
| dc.identifier.citation | Li, J., Sanderson, R. D., Hallbauer, D. K., & Hallbauer-Zadorozhnaya, V. Y. (2002). Measurement and modelling of organic fouling deposition in ultrafiltration by ultrasonic transfer signals and reflections. Desalination, 146(1), 177-185. | en_ZA |
| dc.identifier.issn | 0011-9164 | en_ZA |
| dc.identifier.ris | TY - Journal Article AU - Li, Jianxin AU - Sanderson, R AU - Hallbauer, D AU - Hallbauer-Zadorozhnaya, V Y AB - The development of a non-destructive, real-time observation technique to detect and monitor fouling during liquid separation processes is of great importance to the development of strategies to improve operating conditions. In this study ultrasonic time-domain reflectometry (UTDR) was used to measure organic fouling, in real time, during ultrafiltration (UF) with polysulfone (PS) membranes. The feed solution was a paper-mill effluent, which contains breakdown products of lignin or lignosulphonate, from a wastewater treatment plant. An asymmetric, composite PS membrane can be detected by UTDR. Experimental results showed that the ultrasonic signal response can be used to monitor fouling-layer formation and growth on the membrane in real-time. Traditional flux measurements and analysis of the membrane surface by microscopy corroborated the UTDR results. Further, the differential signal developed indicate the state and progress of the fouling layer and gives warning of advanced fouling during operation. Moreover, a predictive modelling program — ultrasonic reflection (USRF) was developed to model the fouling deposits. This contributed to a better understanding of the fouling layer formation and its recognition during ultrasonic testing. This modelling was applied to model the density and thickness of a fouling layer on a membrane surface so as to predict the fouling behavior. The modelling results were in a good agreement with the actual observations. DA - 2002 DB - OpenUCT DP - University of Cape Town J1 - Desalination LK - https://open.uct.ac.za PB - University of Cape Town PY - 2002 SM - 0011-9164 T1 - Measurement and modelling of organic fouling deposition in ultrafiltration by ultrasonic transfer signals and reflections TI - Measurement and modelling of organic fouling deposition in ultrafiltration by ultrasonic transfer signals and reflections UR - http://hdl.handle.net/11427/21109 ER - | en_ZA |
| dc.identifier.uri | http://hdl.handle.net/11427/21109 | |
| dc.identifier.vancouvercitation | Li J, Sanderson R, Hallbauer D, Hallbauer-Zadorozhnaya VY. Measurement and modelling of organic fouling deposition in ultrafiltration by ultrasonic transfer signals and reflections. Desalination. 2002; http://hdl.handle.net/11427/21109. | en_ZA |
| dc.language | eng | en_ZA |
| dc.publisher | Elsevier | en_ZA |
| dc.publisher.institution | University of Cape Town | |
| dc.rights | Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_ZA |
| dc.source | Desalination | en_ZA |
| dc.source.uri | http://www.journals.elsevier.com/desalination | |
| dc.subject.other | Ultrafiltration | |
| dc.subject.other | Membrane fouling | |
| dc.subject.other | Modelling | |
| dc.subject.other | Real-time measurement | |
| dc.subject.other | Ultrasonic reflections | |
| dc.title | Measurement and modelling of organic fouling deposition in ultrafiltration by ultrasonic transfer signals and reflections. | en_ZA |
| dc.type | Journal Article | en_ZA |
| uct.type.filetype | Text | |
| uct.type.filetype | Image | |
| uct.type.publication | Research | en_ZA |
| uct.type.resource | Article | en_ZA |