Abstract
The purpose of this work is to provide a flexible thermodynamic model based on the filling and emptying approach for the performance prediction of turbocharged compression ignition engine. To validate the model, comparisons between the developed a computer program in FORTRAN language and the commercial GT-Power software results operating under different conditions. The comparisons show that there is a good concurrence between the developed program and the commercial GT-Power software. The variation of the speed of the diesel engine chosen extends from 800 RPM to 2100 RPM. In this work, we studied the influence of several engine parameters on the power and efficiency. Moreover, it puts in evidence the existence of two optimal points in the engine, one relative to maximum power and another to maximum efficiency; it was found that if the injection time is advanced, so the maximum levels of pressure and temperature in the cylinder are high, it was found that if the injection time is advanced, so the maximum levels of pressure and temperature in the cylinder are high.DOI: http://dx.doi.org/10.5755/j01.mech.21.1.8690
Highlights
More than one century after his invention by Dr Rudolf Diesel, the compression ignition engine remains the most efficient internal combustion engines for ground vehicle applications
Thermodynamic models and multi-dimensional models are the two types of models that have been used in internal combustion engine simulation modeling
Trends in combustion engine simulations are towards the development of comprehensive multi-dimensional models that accurately describe the performance of engines at a very high level of details
Summary
More than one century after his invention by Dr Rudolf Diesel, the compression ignition engine remains the most efficient internal combustion engines for ground vehicle applications. Thermodynamic models (zerodimensional) and multi-dimensional models are the two types of models that have been used in internal combustion engine simulation modeling. Trends in combustion engine simulations are towards the development of comprehensive multi-dimensional models that accurately describe the performance of engines at a very high level of details. These models need a precise experimental input and substantial computational power, which make the process significantly complicated and time-consuming [1]. Angulo-Brown et al [1] optimized the power of the Otto and Diesel engines with friction loss with finite duration cycle.
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