Daniel R. Richardson
Purdue University
38 Papers
195 Citations
Daniel R. Richardson is an academic researcher from Purdue University. The author has contributed to research in topics: Femtosecond & Raman scattering. The author has an hindex of 13, co-authored 34 publications. Previous affiliations of Daniel R. Richardson include Air Force Research Laboratory & National Research Council.
Chat about Author
Papers
Chemiluminescence imaging of an optically accessible non-premixed rotating detonation engine
Brent A. Rankin,Daniel R. Richardson,Andrew W. Caswell,Andrew Naples,John Hoke,Frederick Schauer +5 more
TL;DR: In this article, the detonations propagating through the annular channel of an optically accessible rotating detonation engine (RDE) operating on hydrogen-air are visualized using OH* chemiluminescence imaging.
347
Gas-phase single-shot thermometry at 1 kHz using fs-CARS spectroscopy
TL;DR: Temperature measurements at a data rate of 1 kHz employing femtosecond coherent anti-Stokes Raman scattering (fs-CARS) spectroscopy of N(2) are demonstrated and accuracy and precision are found to be approximately 1%-6% and approximately 1.5%-3%, respectively.
106
Imaging of OH* Chemiluminescence in an Optically Accessible Nonpremixed Rotating Detonation Engine
Brent A. Rankin,Daniel R. Richardson,Andrew W. Caswell,Andrew Naples,John Hoke,Frederick Schauer +5 more
- 05 Jan 2015
TL;DR: In this paper, the authors visualized the detonation propagating through the annular channel of an optically accessible non-premixed rotating detonation engine (RDE) using OH* chemiluminescence imaging.
98
Theoretical modeling of single-laser-shot, chirped-probe-pulse femtosecond coherent anti-Stokes Raman scattering thermometry
TL;DR: In this article, a CPP femtosecond (fs) coherent anti-Stokes Raman scattering (CARS) spectroscopy for single-laser-shot temperature measurements in flames is discussed.
74
Comparison of chirped-probe-pulse and hybrid femtosecond/picosecond coherent anti-Stokes Raman scattering for combustion thermometry.
TL;DR: It is observed that initial calibration fits to the spectrally broad CPP results require more fitting parameters and a more robust optimization algorithm and therefore significantly increased computational cost and complexity compared to the fitting of hybrid fs/ps CARS data.
40