Design and testing of an additively manufactured flame-holder for scramjets flows

Lieber, Damien; Goyne, Christopher P.; Rockwell, Robert D.; Geipel, Clayton M.; Chelliah, Harsha K.

doi:10.2514/6.2018-4455

Cited by 7 publications

(3 citation statements)

References 13 publications

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“…The study is aimed at better understanding the dynamics of these cavity-stabilized, high-speed flames. An immersed small-scale cavity flameholder for scramjet flows was designed to render DNS computation times feasible [5]. The UVaSCF is an electricallyheated, long-duration wind tunnel generating a Mach 2 flow with a total temperature of 1200 K and a total pressure of 300 kPa.…”

Section: Motivation and Research Questionmentioning

confidence: 99%

“…The measurement conditions in this work are exceptionally harsh. Table 2 lists key flow characteristics for the test case considered in this paper estimated from previous work and CFD studies [5,27,28]. Results for all test cases can be found in Lieber [29].…”

Section: Objectives and Contributionsmentioning

confidence: 99%

“…The test section and flameholder model are summarized here and described in greater details in Lieber et al [5]. The test section is a ~1.5 × 1.5 in 2 rectangular duct with the flameholder set halfway into the freestream as shown in figure 1.…”

Section: Summary and Hardware Specificationsmentioning

confidence: 99%

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High-resolution PIV for characterization of the inflow to a cavity flameholder

Lieber

Goyne

Gibbons

2020

Meas. Sci. Technol.

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A methodology for the implementation of high-resolution, two-component, two-dimensional particle image velocimetry (PIV) in a high-speed, high-enthalpy flow is presented and demonstrated. The objective is to resolve the finer scales of combusting flows at high subsonic Mach numbers for accurate boundary conditions quantification for direct numerical simulations. A three-pronged approach consists of finding a near-optimum setup specific to the experiment, enhancing the raw signal with a novel filter for high-speed flows based on a logarithmic transform, and quantifying uncertainties. The methodology effectiveness is demonstrated with synthetic PIV, real PIV, and comparison with numerical simulations.

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Section: Motivation and Research Questionmentioning

confidence: 99%