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Migration Laws Of Particle Impurities In Aviation Kerosene Delivery From Storage Tank

Posted on:2017-01-28Degree:MasterType:Thesis
Country:ChinaCandidate:F LiuFull Text:PDF
GTID:2311330503988099Subject:Oil and Gas Storage and Transportation Engineering
Abstract/Summary:PDF Full Text Request
Solid impurity in the aviation fuel is one of the main factors causing the aircraft engines accidents. In order to avoid the solid particles in the tank flowing with oil into the airfield pipeline and even into the aircraft fuel tank, it is necessary to conduct qualitative and quantitative research of particles migration in a tank when the oil is being extracted from the tank.This paper first did particle size measurement of base sediment in tank. Physical model of 5000 m 3 vertical jet fuel tank was established by Fluent simulation software, and VOF-DPM coupled numerical model was applied to solve the flow. After that three main factors impact the particles suspending was screened out, and it was simulated that the velocity field and particle migration distribution in tank when the oil is being extracted in different conditions. The percentage of remaining particle number in tank was chosen as an indicator to analyze variance and regression of the numerical simulation results, and the quantitative regularity of each factor was gotten.The study showed that most impurities extracted are tiny particles and the particle diameter range from 0 to 47 micron. The particle percent extracted from a tank is positively correlated with pipe diameter and velocity of oil extraction, negatively correlated with the initial liquid level. The initial liquid level can make the greatest impact on particle migration,while the effect of pipe diameter and velocity of oil extraction is approximately the same. In the case of the flux requirement and velocity limitation are simultaneously satisfied, trying to choose the small diameter pipeline during design stage can effectively reduce the number of outflow particles. Finally, according to the non-linear regression in this article particles migration can be predicted in different oil extract conditions, which will provide theoretical support for controlling the particles flow and optimizing oil extraction condition.
Keywords/Search Tags:particulate pollutant, DPM model, migration law, regression analysis
PDF Full Text Request
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