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A review of the scramjet experimental data base
Progress in Aerospace Sciences ( IF 11.5 ) Pub Date : 2019-04-01 , DOI: 10.1016/j.paerosci.2019.02.001
R.K. Seleznev , S.T. Surzhikov , J.S. Shang

Abstract The frontier in hypersonic flights via an air-breathing scramjet faces a formidable challenge, because the operational principle is built on thermal compression, which is inherently interwoven with complex and delicate balancing by aerodynamics and chemical kinetics interaction. In addition, the aerodynamic contraction ratio of the engine flow path varies significantly with flight speed, which must be accomplished by integrated inlet-isolator-combustor with a tailored fuel injection. The intensive activities for developing scramjet propulsive systems have been sustained for more than six decades, but the design and analysis process by modeling and simulation technique still requires improvement. For this reason, the present effort is summarizing and sharing the experimental data base developed in USA, Russia, China, Germany, Australia, France and Japan for studying the scramjet. In the present review, the pioneering supersonic combustion testing is presented first. Then all data are divided into groups according to the key components of scramjet for inlet-isolator, combustor either with step, cavity, or throttle, as well as, the fuel injector through wall or from a pylon. The collected entire data base includes a brief description of the geometric configurations, data measured, and testing conditions as a function of Mach number, temperature, pressure, and fuel mixture. The theoretical and the computational simulations directly related to the experiment are also included. We emphasize that the main attention in this review is given to model experiments; therefore, first of all, this review can be useful for engineers and scientists who are using numerical simulation of the thermo-gasdynamics of combustion processes for the purpose of validating the developing computer codes and kinetic models. The validation problem is also important in obtaining new experimental data for the conditions of experiments already performed, which undoubtedly raises the reliability and value of model experiments, which in the case of a multiple repetition of the results by different experimenters groups can be attributed as the "canonical" experiments or the benchmark tests.
更新日期:2019-04-01
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