Exploration of the performance of iron-based superhydrophilic meshes for oil-water separation.

IF 1.9 4区 环境科学与生态学 Q4 ENGINEERING, ENVIRONMENTAL
V Preethi, Shradha Nair, S T Ramesh, R Gandhimathi
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引用次数: 0

Abstract

This study investigates the oil-water separation capability of iron-based superhydrophilic meshes. It also intends to provide an optimistic view of their potential for industrial application. Oil-water separation performance of the 150 mesh, 300 mesh, and 400 mesh is primarily examined by analyzing the efficiency and speediness of separation as well as the limit of oil intrusion using petroleum based oils. The superhydrophilic meshes are further applied for oil-water separation of locomotive wash effluent. The superhydrophilic meshes showed good oil-water separation behavior. The 300 mesh is observed to have superior separation performance. It is also tested to have good reusability and resistance in harsh conditions. The separation effectiveness of 94.7%, reduced turbidity of 21.8 NTU, and chemical oxygen demand of around 70 ppm, along with reasonable flux and intrusion pressure values of 73.28 Lm-2min-1 and 0.848 kPa, respectively, are noticed for the separation study conducted for locomotive wash effluent using the designated superhydrophilic mesh. This study hence as well demonstrates a prospective future of superhydrophilic mesh for practical utility.

铁基超亲水性油水分离网的性能探索。
本研究考察了铁基超亲水网的油水分离性能。它还打算对它们的工业应用潜力提供乐观的看法。通过分析150目、300目和400目的油水分离效率、分离速度以及石油基油的侵油极限,初步考察了它们的油水分离性能。将超亲水性筛网进一步应用于机车清洗废水的油水分离。超亲水性网孔表现出良好的油水分离性能。观察到300目具有优异的分离性能。还测试了它在恶劣条件下具有良好的可重复使用性和耐受性。分离效率94.7%,降低浊度21.8 NTU,化学需氧量约70 ppm,以及73.28的合理流量和入侵压力值 Lm-2min-1和0.848 对于使用指定的超亲水网对机车洗涤废水进行的分离研究,分别注意到kPa。因此,这项研究也证明了超亲水性网状物的实用前景。
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来源期刊
CiteScore
4.10
自引率
4.80%
发文量
93
审稿时长
3.0 months
期刊介绍: 14 issues per year Abstracted/indexed in: BioSciences Information Service of Biological Abstracts (BIOSIS), CAB ABSTRACTS, CEABA, Chemical Abstracts & Chemical Safety NewsBase, Current Contents/Agriculture, Biology, and Environmental Sciences, Elsevier BIOBASE/Current Awareness in Biological Sciences, EMBASE/Excerpta Medica, Engineering Index/COMPENDEX PLUS, Environment Abstracts, Environmental Periodicals Bibliography & INIST-Pascal/CNRS, National Agriculture Library-AGRICOLA, NIOSHTIC & Pollution Abstracts, PubSCIENCE, Reference Update, Research Alert & Science Citation Index Expanded (SCIE), Water Resources Abstracts and Index Medicus/MEDLINE.
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