Numerical Simulation of Flow through Scramjet Inlet - Isolator Model
with Pressure Feedback
Yuvraj Sarout, R Thundil Karuppa Raj and Senthilkumar P*
School of Mechanical Engineering,
Vellore Institute of Technology, Vellore,Tamil Nadu, India
* Corresponding author psk@vit.ac.in
ABSTRACT
This paper states significant points about the performance enhancement of supersonic air intake
model through the implementation of pressure feedback system with different connecting
locations. A Mach 5, supersonic air intake model with a larger shoulder separation and other two
separations at cowl lip and inside the isolator is studied. This model has been simulated using
CFD package Ansys Fluent-18. A Comparison of numerical simulation and experimental
measurements is presented to validate the correctness and accuracy of numerical frame work
followed in the current study. Suitably refined mesh with higher order spatial accuracy of the
solver aided in accurate capturing of the flow field. Three different pressure feedback
configurations were investigated to study the performance improvement of the intake system.
Improvement in total pressure at the outlet of isolator is accomplished through the use of pressure
feedback system by reducing the separation bubble to a great extent. From the study, it is found
that the flow through the pressure feedback system happens due to the pressure difference between
the separation bubble and the upstream side regular flow. This pressure feedback system can
reduce the intensity of shock wave boundary layer interaction and the size of the bubble occurring
at the isolator entry section, cowl lip and inside upper part of isolator. Increment in total pressure
recovery depicts the better performance due to the implementation of pressure feedback system.
This study demonstrates the scope of overall improvement in scramjet engine performance
through the use of pressure feedback system
NOMENCLATURE
p static pressure x Distance along flow direction
Ht Throat height L Total length of Ramp
p∞ Free Stream Pressure
Downloaded by UNIVERSITY OF TORONTO on January 8, 2020 | http://arc.aiaa.org | DOI: 10.2514/6.2020-0650
AIAA Scitech 2020 Forum
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10.2514/6.2020-0650
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