Investigation of the Engine Combustion Network Spray C Characteristics at High Temperature and High-Pressure Conditions Using Eulerian Model

Moaz Al-lehaibi, Xinlei Liu, Hammam H. Aljabri, Moez Ben Houidi, Balaji Mohan, Hong G. Im

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The morphology of the internal flow of Spray C was numerically investigated using an Eulerian volume-of-fluid (VOF) method in the finite-volume framework. The injector geometry available in the Engine Combustion Network (ECN) was employed, and the simulations were performed under the ambient condition at 900 K and 60 bar. The simulation data were analyzed for three important events: the initial nozzle opening, steady injection, and nozzle closing. First, projected densities on XY and XZ planes are computed radially at four axial locations. Projected density at 2 mm is compared with available experimental results, which show similar results. Then, the mass flow rate is found to match the reported experimental results and the virtually generated values from CMT using an appropriate discharge coefficient. An investigation on the appropriate discharge coefficient is performed and found that Cd = 0.63 ± 0.02 is acceptable for Spray C. A grid-convergent study revealed that the predicted cavitation formation process was significantly affected by various grid sizes. Based on this study, a minimum mesh size of 7.8 µm was needed to reproduce the experimental observation properly. The predicted flow characteristics at the sharper edge at 0° and the smooth edge at 180° degrees showed comparable trends to the experimental data at the same injection pressure but different ambient pressure.
Original languageEnglish (US)
Title of host publicationSAE Technical Paper Series
PublisherSAE International
StatePublished - Sep 5 2021

Bibliographical note

KAUST Repository Item: Exported on 2021-10-14
Acknowledgements: The authors acknowledge the support provided by King Abdullah University of Science and Technology specially KAUST Supercomputing Laboratory (KSL) and Computational Reactive Flow Laboratory (CRFL).

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Pollution
  • Automotive Engineering
  • Industrial and Manufacturing Engineering


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