Abstract
The fully Lagrangian approach to the calculation of the number density of inertial particles in dilute gas-particle flowsis implemented into the CFD code ANSYS Fluent via User Defined Functions (UDF). The functionality testing of thenew version of this code is performed for a gas-particle flow around an infinite circular cylinder. In a steady-statecase, the results predicted using both Eulerian and the fully Lagrangian methods are almost identical for low inertiaparticles at small Reynolds numbers (based on the cylinder diameter) (Re = 1, Stk = 0:05). For larger values ofthese numbers (Re = 10, 100; Stk = 0:1, 0:2) the fully Lagrangian approach predicts higher values of the gradientsof particle number densities in front of the cylinder compared with the ones predicted by the Eulerian approach. Fortransient flows (Re = 200), both methods predict high values of the number densities between the regions of highvorticity and very low values in the vortex cores. For Stk 0:1 the maximal values predicted by the fully Lagrangianapproach are shown to be several orders of magnitude higher than those predicted by the Eulerian approach. Thefully Lagrangian method, implemented into ANSYS Fluent, has been applied to calculate the number densitiesof droplets in direct injection gasoline fuel spray. Preliminary results show good qualitative agreement betweennumerical simulation and experimental observations.
Original language | English |
---|---|
Title of host publication | ILASS – Europe 2016, 27th annual conference on liquid atomization and spray systems |
Place of Publication | Brighton, UK |
Pages | 0-0 |
Number of pages | 1 |
Publication status | Published - 4 Sept 2016 |
Event | ILASS – Europe 2016, 27th Annual Conference on Liquid Atomization and Spray Systems - Brighton, UK, 4-7 September 2016 Duration: 7 Sept 2016 → … |
Conference
Conference | ILASS – Europe 2016, 27th Annual Conference on Liquid Atomization and Spray Systems |
---|---|
Period | 7/09/16 → … |
Fingerprint
Dive into the research topics of 'Numerical and experimental analysis of a gasoline fuel spray'. Together they form a unique fingerprint.Profiles
-
Steven Begg
- School of Arch, Tech and Eng - Reader
- Advanced Engineering Centre - Director
Person: Academic
-
Oyuna Rybdylova
- School of Arch, Tech and Eng - Principal Lecturer
- Advanced Engineering Centre
Person: Academic
-
Sergei Sazhin
- School of Arch, Tech and Eng - Professor of Thermal Physics
- Advanced Engineering Centre
Person: Academic