当前位置: X-MOL 学术J. Environ. Eng. Landsc. Manag. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Modeling of the spontaneous polypropylene sorbents imbibition with emulsions
Journal of Environmental Engineering and Landscape Management ( IF 1.0 ) Pub Date : 2015-06-25 , DOI: 10.3846/16486897.2014.961926
Jerzy SĘK 1 , Olga S. SHTYKA 1 , Kamila SZYMCZAK 1
Affiliation  

Oil penetration into aqueous media results in various chemical and physical processes including formation of “oil-in-water” emulsions, that have devastating effects on the environment. This research was conducted to evaluate the kinetics of permeation of “oil-in-water” emulsions into synthetic porous material. It gives the ability to develop more effective sorbents, decreasing risks of nfegative consequences and environmental contamination. The following publication focuses on assessment of the possibility to describe and predict a process of porous medium imbibition with emulsions by means of the Hill equation. Its adequacy is compared with the classical Lucas–Washburn equation and its modified version. The advanced approach is to substitute the commonly used parameter of the height of an imbibed emulsion (h(t)) by the parameter mh(t), which is the mass of an imbibed emulsion in the case of the classical and modified Washburn equations. According to the obtained results, the Hill equation provides the most appropriate and precise description of the porous material imbibition with “oil-in-water” emulsions and oil in comparison with others, and shows the highest correlation values (Rav = 0.995±0.001) and the lowest normalized root mean square error (NRMSEav 1.95±0.138).



中文翻译:

乳液吸收自发聚丙烯吸附剂的模型

油渗入水性介质会导致各种化学和物理过程,包括形成“水包油”乳液,这会对环境造成破坏性影响。进行这项研究以评估“水包油”乳液渗透到合成多孔材料中的动力学。它提供了开发更有效的吸附剂,降低负面后果和环境污染风险的能力。以下出版物着重于通过Hill方程评估描述和预测多孔介质吸收乳剂过程的可能性。将其适当性与经典的Lucas-Washburn方程及其修改版本进行比较。先进的方法是用通常使用的吸水乳液高度参数(ht))的参数m ht),这是经典和改进的Washburn方程中吸收的乳液的质量。根据获得的结果,希尔方程提供了与“水包油”乳液和油相比其他材料对多孔材料吸收的最合适和最精确的描述,并且显示了最高的相关值(R av = 0.995±0.001 )和最低的标准化均方根误差(NRMSE av 1.95±0.138)。

更新日期:2015-06-25
down
wechat
bug