Quasi dimensional numerical investigation of syngas fuelled engine operation: MBT operation and parametric sensitivity analysis. (September 2017)

• Record Type: Journal Article
• Authors: Shivapuji, Anand M.; Dasappa, S.
• Is Part Of: Applied thermal engineering. Volume 124(2017)
• Page Start: 911
• Page End: 928
• Publication Date: 2017-09
• Subjects: Non-regular fuel -- Engine simulation -- Quasi-dimensional model -- Williams-Klimov criterion -- Turbulent combustion -- Syngas; Heat engineering -- Periodicals; Heating -- Equipment and supplies -- Periodicals; Periodicals; 621.40205
• DOI: 10.1016/j.applthermaleng.2017.06.086
• Languages: English
• ISSNs: 1359-4311

Abstract

Highlights: Thermodynamic framework Q uasi - Dimensional model proposed for SI engine simulation. Combustion along Eddy Entrainment Laminar Burnup model (William-Klimove criterion). Simulation and experimental traces match within 5% accuracy for specific input data. Model maintains 95% accuracy for parametric variation within correlation tuning band. QD model fuel specificity limited to heat transfer & laminar flame speed correlation. Abstract: The formulation, validation and application of a thermodynamic quasi dimensional SI engine simulation model for syngas fuelled operation is reported. The QD approach establishes the dependence of turbulent combustion on mixture thermo-physical properties and fluid domain average turbulent parameters, eliminating the need for domain discretization (unlike in multi-dimensional models). Turbulent combustion is formulated along the Eddy Entrainment Laminar Burn-up concept (Williams-Klimov criterion) with non-linear dependence of mixture burn rate on local laminar flame speed and turbulent intensity. Simulations are reported for syngas fuelled operation of a six cylinder engine and compared with experimental pressure and heat release traces. Maximum brake torque stoichiometric operation pressure and heat release simulation traces evolve closely with corresponding experimental traces. The simulation peak pressure and IMEP deviations remain within 5 % and 2 % of experimental traces respectively while the position of peak pressure overlaps within ± 0.5 deg. Parametric sensitivity analysis for load, mixture quality and ignition timing are also addressed. Overall, the simulation results are in accordance within 5 % of experimental results as long as the parametric variations are within the regimes of tuning of empirical correlations. In general, the versatility and robustness of quasi dimensional approach to simulate non-regular bio-derived alternative fuels is established.