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Functional magnetic nanoparticles for enhancing ultrafiltration of waste cutting emulsions by significantly increasing flux and reducing membrane fouling.

Authors :
Huang, Xiangfeng
Zhang, Jialu
Peng, Kaiming
Na, Ya
Xiong, Yongjiao
Liu, Wanqi
Liu, Jia
Lu, Lijun
Li, Shiyang
Source :
Journal of Membrane Science. Mar2019, Vol. 573, p73-84. 12p.
Publication Year :
2019

Abstract

Abstract Waste cutting emulsions have high oil concentration, complex components, and strong stability, making them extremely difficult to dispose of. Efficient separation of oil and water is key to disposing of such emulsions. In this study, magnetic nanoparticles (MNPs) were applied in different ways to the membrane separation process to form four coupling processes for emulsion treatment. Compared to direct ultrafiltration, the four coupling processes showed improved performance in chemical oxygen demand (COD) rejection and flux for sample waste cutting emulsions. In particular, the flux of the optimal process was 83 LMH, which was 41.5 times greater than the control process. The interactions between MNPs and emulsions, such as coalescence, coating, and migration under a magnetic field, were also studied. We believe that the introduction of MNPs actively affected the membranes; the MNPs avoided direct oil-membrane contact via the coating of oil drops and a cake layer that formed on the membrane surface, which then enhanced ultrafiltration and improved flux significantly. Highlights • Various ultrafiltration processes coupled with MNPs for treating emulsions. • The effects of MNPs on oil droplets included coating, coalescence and migration. • Coupling process significantly improved the flux for waste cutting emulsions. • Coat of oil drops and cake layer formed by MNPs helped to reduce membrane fouling. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03767388
Volume :
573
Database :
Academic Search Index
Journal :
Journal of Membrane Science
Publication Type :
Academic Journal
Accession number :
133824862
Full Text :
https://doi.org/10.1016/j.memsci.2018.11.074