G
Gary S. Settles
Researcher at Pennsylvania State University
Publications - 160
Citations - 8618
Gary S. Settles is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Boundary layer & Shock wave. The author has an hindex of 44, co-authored 159 publications receiving 7632 citations. Previous affiliations of Gary S. Settles include Princeton University & Foundation University, Islamabad.
Papers
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Book
Schlieren and Shadowgraph Techniques : Visualizing Phenomena in Transparent Media
Gary S. Settles,EE Covert +1 more
TL;DR: In this article, the Schlieren approach is used to estimate the sensitivity and range of the Schlieser image. But, the sensitivity of the image is not a function of the light source, but of the background.
Book
Schlieren and shadowgraph techniques
TL;DR: A review of recent developments in shadowgraph and schlieren visualization can be found in this paper, where the authors present a detailed overview of the shadowgraph technique for flow visualization.
Journal ArticleDOI
Detailed Study of Attached and Separated Compression Corner Flowfields in High Reynolds Number Supersonic Flow
TL;DR: In this article, an experimental study has been carried out to detail the interaction of a compressible turbulent boundary layer with shock waves of varying strengths, produced by two-dimensional al compression corners of 8, 16, 20, and 24 deg angles.
Journal ArticleDOI
Mechanisms of scent-tracking in humans
Jess Porter,Brent A. Craven,Rehan M. Khan,Rehan M. Khan,Shao-Ju Chang,Irene Kang,Benjamin Judkewitz,Jason Volpe,Gary S. Settles,Noam Sobel +9 more
TL;DR: Findings reveal fundamental mechanisms of scent-tracking and suggest that the poor reputation of human olfaction may reflect, in part, behavioral demands rather than ultimate abilities.
Journal ArticleDOI
A schlieren optical study of the human cough with and without wearing masks for aerosol infection control.
TL;DR: The schlieren optical method, previously applied mostly in engineering and physics, can be effectively used here to visualize airflows around human subjects in such indoor situations, non-intrusively and without the need for either tracer gas or airborne particles.