6 August 2014 Estimation of equivalence ratio distribution in diesel spray using a computational fluid dynamics
Author Affiliations +
Proceedings Volume 9232, International Conference on Optical Particle Characterization (OPC 2014); 923205 (2014) https://doi.org/10.1117/12.2063644
Event: International Conference on Optical Particle Characterization (OPC 2014), 2014, Tokyo, Japan
Abstract
It is important to understand the mechanism of mixing and atomization of the diesel spray. In addition, the computational prediction of mixing behavior and internal structure of a diesel spray is expected to promote the further understanding about a diesel spray and development of the diesel engine including devices for fuel injection. In this study, we predicted the formation of diesel fuel spray with 3D-CFD code and validated the application by comparing experimental results of the fuel spray behavior and the equivalence ratio visualized by Layleigh-scatter imaging under some ambient, injection and fuel conditions. Using the applicable constants of KH-RT model, we can predict the liquid length spray on a quantitative level. under various fuel injection, ambient and fuel conditions. On the other hand, the change of the vapor penetration and the fuel mass fraction and equivalence ratio distribution with change of fuel injection and ambient conditions quantitatively. The 3D-CFD code used in this study predicts the spray cone angle and entrainment of ambient gas are predicted excessively, therefore there is the possibility of the improvement in the prediction accuracy by the refinement of fuel droplets breakup and evaporation model and the quantitative prediction of spray cone angle.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yasumasa Suzuki, Yasumasa Suzuki, Taku Tsujimura, Taku Tsujimura, Jin Kusaka, Jin Kusaka, } "Estimation of equivalence ratio distribution in diesel spray using a computational fluid dynamics", Proc. SPIE 9232, International Conference on Optical Particle Characterization (OPC 2014), 923205 (6 August 2014); doi: 10.1117/12.2063644; https://doi.org/10.1117/12.2063644
PROCEEDINGS
6 PAGES


SHARE
Back to Top