Computational Study of a Four-Funnel Converging-Diverging IRS System

Abstract

This study delivers a comprehensive numerical assessment of a full-scale infrared suppression (IRS) system characterized by a unique arrangement of four conical funnels organized in a converging-diverging layout. Tailored for aerospace uses, the IRS device operates by capturing surrounding air to reduce the temperature of high-energy exhaust gases, thus decreasing the thermal signature. The research examines vital performance indicators, particularly mass suction and outlet temperature, by altering operational factors such as Reynolds number, inlet air temperature, and the extent of overlap between the funnels and the exhaust duct. To precisely model the fluid dynamics and heat transfer, the governing equations of mass, momentum, and energy conservation are utilized throughout the simulation area. The primary objective is to evaluate how these factors influence the non-dimensional mass entrainment ratio and outlet temperature. Particular attention is given to investigating how changes in inlet temperature affect the entrainment ratio at varying Reynolds numbers. The findings of this research enhance the understanding of passive cooling methods in conical funnel-type IRS systems and provide significant insights for improving thermal management in practical aerospace applications.