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020 ▼a 9780438050570
035 ▼a (MiAaPQ)AAI10824637
035 ▼a (MiAaPQ)princeton:12640
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 629.1
1001 ▼a Zhang, Yibin.
24514 ▼a The Development and Characterization of Femtosecond Laser Velocimetry Methods.
260 ▼a [S.l.]: ▼b Princeton University., ▼c 2018.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2018.
300 ▼a 185 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
500 ▼a Adviser: Julia Mikhailova.
5021 ▼a Thesis (Ph.D.)--Princeton University, 2018.
520 ▼a Measurements in high speed wind tunnels and reactive testing facilities require remote, non-perturbing, high-fidelity diagnostic tools. Femtosecond Laser Electronic Excitation Tagging (FLEET) is a recent addition to ultrafast laser diagnostics f
520 ▼a Three aspects of FLEET velocimetry are examined in this work. The first extends FLEET from primarily nitrogen and air environments to flows with argon, oxygen, helium, carbon dioxide, methane, water vapor and freon mixtures. Time-resolved and ti
520 ▼a Secondly, experiments are performed in well-developed subsonic turbulent flow and acoustic measurements are made of the laser pulse to determine the effects of laser heating on the gas. Turbulence statistics are computed for different sets of op
520 ▼a Lastly, outcomes from the previous two efforts are synergized to develop FLEET as a tool for near wall measurements, specifically to resolve the viscous sublayer in supersonic flows for skin friction characterization. To minimize flow perturbati
590 ▼a School code: 0181.
650 4 ▼a Aerospace engineering.
650 4 ▼a Applied physics.
650 4 ▼a Fluid mechanics.
690 ▼a 0538
690 ▼a 0215
690 ▼a 0204
71020 ▼a Princeton University. ▼b Mechanical and Aerospace Engineering.
7730 ▼t Dissertation Abstracts International ▼g 79-10B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0181
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998685 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033