Supersonic Combustion Diagnostics with Dual Comb Spectroscopy

TL;DR

This paper demonstrates the use of dual comb spectroscopy for precise, simultaneous measurements of multiple flow parameters in supersonic combustion, enabling detailed diagnostics and validation of CFD models.

Contribution

It introduces a broadband, ultrastable dual comb spectroscopy method for comprehensive, high-precision diagnostics of supersonic combustion flows.

Findings

Achieved simultaneous measurements of velocity, temperature, pressure, and water vapor in a dual-mode ramjet.

Demonstrated spatial resolution sufficient to resolve shock train properties.

CFD simulations largely agree with experimental measurements within uncertainties.

Abstract

Supersonic engine development requires accurate and detailed measurements of fluidic and thermodynamic parameters to optimize engine designs and benchmark computational fluid dynamic (CFD) simulations. Here, we demonstrate that dual frequency comb spectroscopy (DCS) with mode-locked frequency combs can provide simultaneous absolute measurements of several flow parameters with low uncertainty across a range of conditions owing to the broadband and ultrastable optical frequency output of the lasers. We perform DCS measurements across a 6800-7200 cm-1 bandwidth covering hundreds of H2O absorption features resolved with a spectral point spacing of 0.0067 cm-1 and point spacing precision of 1.68 x 10-10 cm-1. We demonstrate 2D profiles of velocity, temperature, pressure, water mole fraction, and air mass flux in a ground-test dual-mode ramjet at Wright-Patterson Air Force Base. The narrow angles of the measurement beams offer sufficient spatial resolution to resolve properties across an oblique shock train in the isolator and the thermal throat of the combustor. We determine that the total measurement uncertainties for the various parameters range from 1% for temperature to 9% for water vapor mole fraction, with the absorption database/model that is used to interpret the data typically contributing the most uncertainty (leaving the door open for even lower uncertainty in the future). CFD at the various measurement locations show good agreement, largely falling within the DCS measurement uncertainty for most profiles and parameters.