Abstract
In this chapter, we show how the capabilities of numerical simulations and theoretical finite-time thermodynamics tools complement each other to optimize the performance of a spark ignition engine. Numerical simulations enable us to check the influence of specific parameters in engine operation, whereas theoretical techniques allow us to suggest possible optimization criteria and help to understand their consequences from a physical viewpoint in terms of the main sources of irreversibility. The analysis of power-efficiency curves plays a central role, because they provide a direct way to obtain maximum efficiency for any particular power requirement. In this optimization process, we consider both design and operation parameters such as the location of the ignition kernel, stroke-to-bore ratio, spark advance, fuel–air (equivalence) ratio, and cylinder wall temperature.
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- 1.
We recall here that the considered piston bore is \(96\) mm (see Table G.5 in Appendix G).
- 2.
Note that in the limit \(\omega \rightarrow 0\), the thermodynamic cycle developed by the engine corresponds to the Otto reversible cycle (performed in an infinite time), and in this case \({\overline{\varphi }}_0^P\) should be \(360^\circ \), i.e., combustion begins when piston is at TC. In our case, this limit yields to a slightly different value due to the bi-parametric linear fitting procedure.
- 3.
In this chapter, for optimization purposes, the fuel conversion efficiency is defined as the ratio between the power output per cycle and the chemical energy released. In addition, for fixed values of the chemical energy and the engine speed, maximum efficiency optimization corresponds to maximum brake torque optimization (MBT timing).
- 4.
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Medina, A., Curto-Risso, P.L., Hernández, A.C., Guzmán-Vargas, L., Angulo-Brown, F., Sen, A.K. (2014). Thermodynamic Engine Optimization. In: Quasi-Dimensional Simulation of Spark Ignition Engines. Springer, London. https://doi.org/10.1007/978-1-4471-5289-7_4
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DOI: https://doi.org/10.1007/978-1-4471-5289-7_4
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