Nitric Oxide Laser-Induced Fluorescence Imaging Methods and Their Application to Study High-Speed Flows Chapter uri icon


  • 2018 Elsevier Inc. All rights reserved. The measurement of velocity and scalar quantities is critical to increase the knowledge base to understand the behavior of fluid flows. The study of rapidly evolving fluid flows, particularly those involving complex phenomena such as chemical reactions, abrupt gradients, turbulence and nonequilibrium conditions, requires diagnostic tools capable of providing as much information as possible, ideally quantifying two or more variables simultaneously with high time resolution. Accurate modeling of fluctuations in a flow requires of experimental information about the coupling between different quantities, and the development of experimental methods that provide an insight into the coupling of the fluid dynamics and processes such as energy transfer and temperature fluctuations, specifically methods that allow simultaneous determination of velocity and scalar fields, is highly desirable. This chapter describes the development and application of nitric oxide LIF-based methods to provide simultaneous 2-D measurements of the mean and instantaneous fluctuations in two-component velocity and temperature in high-speed gaseous flows in a nonintrusive manner. Specifically, instantaneous and simultaneous two-component velocity and temperature measurements in gaseous flow fields are possible by combining two PLIF-based methods: two-component molecular tagging velocimetry (MTV) and two-line thermometry, employing nitric oxide (NO) as a molecular tracer. Although a series of recent experiments in cold gas expansions are described, these measurements are potentially applicable to combustion and other reactive or high-enthalpy flow fields of wide interest.

author list (cited authors)

  • Snchez-Gonzlez, R., & North, S. W.

citation count

  • 2

complete list of authors

  • Sánchez-González, Rodrigo||North, Simon W

Book Title

  • Frontiers and Advances in Molecular Spectroscopy

publication date

  • November 2018