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Mathematical Model of Sorption Kinetics of Crude Oil by Rubber Particles from Scrap Tyres

Keywords: Sorption Kinetics , Linear Model , Rubber Particles , Prediction , Simulation , Crude Oil

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Abstract:

This paper present an insight into how rubber particles from scrap tyres can be utilized to clean up oil spillages as well as how the process of sorption of crude oil by rubber particles can be stimulated based on sorption kinetics. Crude oil sorption tests using recycled rubber particles (a model absorbent) were designed for investigating crude oil concentration profiles. The model based on a linear driving force (LDF) was developed using a set of experimental data and multiple regression analysis. The crude oil sorption performance tests were conducted under various operating conditions by varying parameters such as rubber particle size and absorption temperature. The predictive capacity of the kinetic model was evaluated under conditions significantly different from those that have already been measured. The experimental results obtained previously were correlated with the first order sorption kinetics model developed. The results showed that the first order kinetics model accurately correlate the experimental data generated. Also, satisfactory results were obtained from simulation of other operating conditions; hence the crude oil sorption kinetics is first order.

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