Large Eddy Simulations and Tracer-LIF Diagnostics of Wall Film Dynamics in an Optically Accessible GDI Research Engine

2019-24-0131

09/09/2019

Features
Event
14th International Conference on Engines & Vehicles
Authors Abstract
Content
Large Eddy Simulations (LES) and tracer-based Laser-Induced Fluorescence (LIF) measurements were performed to study the dynamics of fuel wall-films on the piston top of an optically accessible, four-valve pent-roof GDI research engine for a total of eight operating conditions. Starting from a reference point, the systematic variations include changes in engine speed (600; 1,200 and 2,000 RPM) and load (1000 and 500 mbar intake pressure); concerning the fuel path the Start Of Injection (SOI=360°, 390° and 420° CA after gas exchange TDC) as well as the injection pressure (10, 20 and 35 MPa) were varied. For each condition, 40 experimental images were acquired phase-locked at 10° CA intervals after SOI, showing the wall-film dynamics in terms of spatial extent, thickness and temperature. The simulation framework was developed as follows: first, the spray model was calibrated using spray morphology evolution data of the same injector, characterized in a constant volume spray chamber by high-speed shadow imaging. In a second step, the wall impingement and film models were calibrated using the reference condition. With the model constants now fixed, simulations were run for the remaining operating points and results were compared with the experimental data. The simulations captured all trends observed experimentally, with good quantitative in the transient films’ spatial extents and thicknesses.
Meta TagsDetails
DOI
https://doi.org/10.4271/2019-24-0131
Pages
15
Citation
Frapolli, N., Boulouchos, K., Wright, Y., Geiler, J. et al., "Large Eddy Simulations and Tracer-LIF Diagnostics of Wall Film Dynamics in an Optically Accessible GDI Research Engine," SAE Technical Paper 2019-24-0131, 2019, https://doi.org/10.4271/2019-24-0131.
Additional Details
Publisher
Published
Sep 9, 2019
Product Code
2019-24-0131
Content Type
Technical Paper
Language
English