methane number calculation software avl 3.1

Afterwards, we begin the exergy analysis of the engine to obtain deeper insights. The optimization problem is then solved for a target IMEP and CA pp and the results are analyzed. The appropriate temperature constraints were included to guarantee that the engine model was representative of the physical problem. The objective functions in this problem are the combustion phasing, here defined as the crank angle in which the peak cylinder pressure occurs CA pp, and the mechanical load, here defined as the indicated mean effective pressure IMEP. First, the combustion and heat transfer models are parametrized and used as design variables of an optimization problem. This workflow was applied to a 4-cylinder gasoline engine template model as a case study. In this chapter, this proposed approach has been complemented with exergy analysis to form a complete workflow for engine research using simulation. Thus, the authors proposed an approach in their earlier work to address this gap.

However, there is a gap in methods that generate accurate simulation results, while calibrating the combustion and heat transfer models without prior experimental results. Model calibration is usually based on experimental pressure curve and combustion data. This workflow is divided into two steps: (i) Auto-calibration of combustion and heat transfer models using AVL Boost ® and AVL Design Explorer and (ii) in-cylinder exergy analysis using Wolfram Mathematica ®. This chapter reports on a workflow aimed at obtaining deeper insights into spark ignition engines using thermodynamic modelling.

Methane number calculation software avl 3.1