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http://dx.doi.org/10.5139/JKSAS.2022.50.1.21

A Study on Detection and Quantification of a Scramjet Engine Unstart  

Kim, Hyunwoo (Dept. of Aerospace and Mechanical Engineering, Korea Aerospace University)
Seo, Hanseok (Dept. of Aerospace and Mechanical Engineering, Korea Aerospace University)
Kim, Jong-Chan (Bk21 FOUR Smart Drone Convergence, Korea Aerospace University, currently Korea Institute of Science and Technology Information)
Sung, Hong-Gye (School of Aerospace and Mechanical Engineering/Smart Air Mobility Engineering, Korea Aerospace University)
Park, Ik-Soo (Agency for Defense Development)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.50, no.1, 2022 , pp. 21-30 More about this Journal
Abstract
The restart of scramjet engine is almost impossible in case its unstart happens during engine operation. Therefore, it is essential to prognosticate the scramjet engine unstart phenomena. A numerical simulation of a scramjet engine is conducted to investigate the unstart process of the scramjet engine by adjusting the backpressure at the isolator outlet to the engine analysis environment. The start and unstart of the engine are identified by applying a support vector machine (SVM) through the data measured by wall pressure so that the locations of the pressure sensors most suitable for the unstart detection are selected. And the operation conditions in which the engine is avoid to be unstarted are quantified to perceive the safety margin.
Keywords
Scramjet; Unstart Detection; SVM; Quantification;
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