The SRM Engine Suite is an engineering software tool used for simulating fuels, combustion and exhaust gas emissions in internal combustion engine (IC engine) applications. It is used worldwide by leading IC engine development organisations and fuel companies. The software is developed, maintained and supported by CMCL Innovations,[1] Cambridge, U.K.
Applications
The software has been applied to simulate almost all engine applications and all transportation fuel combinations with many examples[2] published in numerous leading peer-reviewed journals, a brief summary of these articles is presented here.[3]
CIDI (diesel) combustion mode: Sub-models for direct injection, turbulence and chemical kinetic enable the simulation of diesel combustion and emission analysis. Typical user projects have included combustion, PM and NOx simulation over a load-speed map,[8] virtual engine optimization,[9] comparison with 3D-CFD[8] and injection strategy optimization.[10]
Low temperature combustion mode: Known as HCCI or premixed CIDI combustion (PCCI, PPCI), ignition and flame propagation in low temperature combustion mode is more sensitive to fuel chemistry effects. By accounting for user defined or by applying the default chemical kinetic fuel models, users do benefit from enhanced predictive performance. Typical projects include identifying the operating [11] and misfire limits [12] for multiple fuel types.
Advanced fuels: To date the model has been applied to conventional diesel,[8][9] gasoline,[4][5] blends of gasoline and diesel,[12] bio-fuels,[13] hydrogen, [14] natural gas, [15] and ethanol-blended gasoline fuel [16] applications.
The software is based on the stochastic reactor model (SRM),[17] which is stated in terms of a weighted stochastic particle ensemble. SRM is particular useful in the context of engine modelling [18]
as the dynamics of the particle ensemble includes detailed chemical kinetics whilst accounting for inhomogeneity in composition and temperature space arising from on-going fuel injection, heat transfer and turbulence mixing events. Through this coupling, heat release profiles and in particular the associated exhaust gas emissions (Particulates, NOx, Carbon monoxide, Unburned hydrocarbonetc.) can be predicted more accurately than if using the more conventional approaches of standard homogenous and multi-zone reactor methods.[3]
Coupling with third party software tools
The software can be coupled as a plug-in into 1D engine cycle software tools,[3] are capable of simulating the combustion and emissions during closed volume period of the cycle (combustion, TDC and negative valve overlap).
^ abcEtheridge; et al. (2011). "Modelling cycle to cycle variations in an SI engine with detailed chemical kinetics". Combustion and Flame. 158: 179–188. doi:10.1016/j.combustflame.2010.08.006.
^ abcEtheridge; et al. (2011). "Modelling soot formation in a DISI engine". Proceedings of the Combustion Institute. 33 (2): 3159–3167. doi:10.1016/j.proci.2010.07.039.
^Bhave; et al. (2004). "Analysis of a natural gas fuelled homogeneous charge compression ignition engine with exhaust gas recirculation using a stochastic reactor model". International Journal of Engine Research. 5: 93–104. doi:10.1243/146808704772914273. S2CID93782071.
^Kraft, Markus (1998). Stochastic Modeling of Turbulent Reacting Flow in Chemical Engineering (Fortschritt-Berichte, 391 ed.). VDI-Verlag. ISBN978-3-18-339106-6.
^Kraft, M; Maigaard, P; Mauss, F; Christensen, M; Johansson, B (2000). "Investigation of combustion emissions in a homogeneous charge compression injection engine: Measurements and a new computational model". Proceedings of the Combustion Institute. 28 (1): 1195–1201. doi:10.1016/S0082-0784(00)80330-6.