A Reduced-Order Model for Multiphase Simulation of Transient Inert Multicomponent Sprays in the Context of Compression Ignition Engines
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Novel bio-hybrid fuels produced from renewable electricity and carbon sources could play an important role in reducing GHG emissions, especially carbon dioxide, from the rapidly growing worldwide transportation sector. Therefore, it is essential to assess the spray and mixing performance of these fuels to design and optimize engines for such fuels in advanced combustion concepts. The use of three-dimensional (3D) simulations for rapid screening of a large number of fuel candidates in the fuel design process is unfeasible due to the substantial computational cost associated with it. Hence, the need arises for simpler and faster reduced-order yet reliable simulation models. In this study, we present a novel one-dimensional multicomponent cross-sectionally averaged spray (McCAS) model for simulating inert multicomponent sprays. The 3D multiphase governing equations are reduced to 1D by performing radial integration assuming azimuthal symmetry. The McCAS model consists of several sub-models, such as the entrainment model, the drag model, and state-of-the-art breakup and multicomponent evaporation models. The proposed model is validated against the experimental data obtained from High-Speed Schlieren and Mie scattering images of Octanol and di-n-butyl ether blends for different operating conditions. The McCAS model is found to be capable of predicting trends in the macroscopic spray characteristics reasonably well.