作者: Ebrahim Abtahizadeh , Philip de Goey , Jeroen van Oijen
DOI: 10.1016/J.COMBUSTFLAME.2015.06.015
关键词:
摘要: This study reports on the development of a flamelet-based reduction method for autoignition hydrogen enriched methane-based fuels. The main focus is inclusion preferential diffusion effects in Flamelet Generated Manifolds (FGM) technique autoigniting flames. Such FGM methodology inevitable since investigations with detailed chemistry indicate that strongly affects these mixtures. First, novel flamelet configuration based Igniting Mixing Layer (IML) flamelets proposed to accommodate database. At next stage, transport equations controlling variables are derived additional terms account effects. extended model has been evaluated by comparing its predictions those both laminar and turbulent situations. In situations, it revealed able predict accurately time scales one-dimensional situations studied performing Direct Numerical Simulations (DNS) two-dimensional unsteady mixing layer. this configuration, yields precise prediction as well. also assessed using widely used Counter-Flow (ICF) instead IML which leads less accurate especially at high contents. predictive power combined simplicity implementation introduces an attractive reduced computation