국내 최대 기계 및 로봇 연구정보

기술보고서

기술보고서 게시판 내용
타이틀	The NASA Subsonic Jet Particle Image Velocimetry (PIV) Dataset
저자	Bridges, James;; Wernet, Mark P.
Keyword	ACOUSTIC VELOCITY;; COMPUTATIONAL FLUID DYNAMICS;; GAS JETS;; LASER DOPPLER VELOCIMETERS;; NOISE (SOUND); PARTICLE IMAGE VELOCIMETRY;; SUBSONIC FLOW;; TURBULENCE;; VARIANCE (STATISTICS); VELOCITY DISTRIBUTION
URL	http://hdl.handle.net/2060/20110023688
보고서번호	NASA/TM-2011-216807
발행년도	2011
출처	NTRS (NASA Technical Report Server)
ABSTRACT	Many tasks in fluids engineering require prediction of turbulence of jet flows. The present document documents the single-point statistics of velocity, mean and variance, of cold and hot jet flows. The jet velocities ranged from 0.5 to 1.4 times the ambient speed of sound, and temperatures ranged from unheated to static temperature ratio 2.7. Further, the report assesses the accuracies of the data, e.g., establish uncertainties for the data. This paper covers the following five tasks: Ƒ) Document acquisition and processing procedures used to create the particle image velocimetry (PIV) datasets. ƒ) Compare PIV data with hotwire and laser Doppler velocimetry (LDV) data published in the open literature. Ɠ) Compare different datasets acquired at the same flow conditions in multiple tests to establish uncertainties. Ɣ) Create a consensus dataset for a range of hot jet flows, including uncertainty bands. ƕ) Analyze this consensus dataset for self-consistency and compare jet characteristics to those of the open literature. The final objective was fulfilled by using the potential core length and the spread rate of the half-velocity radius to collapse of the mean and turbulent velocity fields over the first 20 jet diameters.