期刊论文详细信息
FUEL 卷:294
Auto-selection of quasi-components/components in the multi-dimensional quasi-discrete model
Article
Al Qubeissi, Mansour1,2  Al-Esawi, Nawar1,3  Sazhin, Sergei S.4 
[1] Coventry Univ, Inst Future Transport & Cities, Coventry CV1 5FB, W Midlands, England
[2] Coventry Univ, Fac Engn Environm & Comp, Gulson Rd, Coventry CV1 2JH, W Midlands, England
[3] Univ Northampton, Fac Arts Sci & Technol, Northampton NN1 5PH, England
[4] Univ Brighton, Adv Engn Ctr, Brighton BN2 4GJ, E Sussex, England
关键词: Auto-selection algorithm;    Evaporation;    Fuel blends;    Heating;    Multi-component fuels;    Quasi-components;   
DOI  :  10.1016/j.fuel.2021.120245
来源: Elsevier
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【 摘 要 】

A new algorithm for the auto-selection of quasi-components and components (QC/Cs) in the ?multi-dimensional quasi-discrete? model is suggested. This algorithm is applied to the analysis of heating and evaporation of multicomponent fuel droplets. It allows one to automatically select QC/Cs and update the initial selection during droplet evaporation. The new algorithm is expected to be applicable to the analysis of a wide range of fuels and fuel blends. It can be directly implemented into CFD codes with minimal intervention by end-user. Using this algorithm, the effects of transient diffusion of species on droplet lifetimes are investigated for mixtures of Diesel and E85 (85% vol. ethanol and 15% vol. gasoline) fuels. It is shown that the new algorithm can reduce the analysis of the E85-Diesel fuel droplets, taking into account the contributions of up to 119 components at the initial stage of heating and evaporation, to that based on 5 QC/Cs, near the end of droplet evaporation, with up to 1.9% errors in predicted droplet temperatures and radii. The CPU time needed to perform calculations using the new algorithm is shown to be 80% less than that when considering the full composition of fuel.

【 授权许可】

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