Experiments were conducted to measure the thrust generated from a commercial jet engine. This thrust estimation was done using a pneumatic horn as the sound source with two arrays of microphones directly across the exhaust stream. The two arrays were separated by an axial distance downstream. Exhaust centerline measurements were taken at varying engine conditions, specifically; 30%, 50%, 60%, 70%, 80% and 100% engine power. An acoustic thrust estimation showed good agreement with measured thrust during the test campaign. In addition, a full traverse of the acoustic rig through the exhaust stream was completed for the purpose of tomography reconstruction. This reconstruction technique was able to pick up key features of the flow field. / Master of Science / A non-intrusive acoustic approach was used to measure the thrust produced by a commercial jet engine at all engine power levels. This acoustic approach was comprised of a sound source and receiving microphones placed on either side of the jet exhaust stream, just behind the engine. The acoustic measurements were compared to measurements by a load cell on the engine and showed excellent agreement. After the concept was proven, another experiment was conducted in which the sound source and microphones were moved vertically alongside the engine exhaust stream. These line of sight measurements were used to reconstruct the velocity and temperature gradients generated by the jet engine. The reconstructions showed good agreement with the engine geometry and was able to detect key flow features.
| Identifer | oai:union.ndltd.org:VTETD/oai:vtechworks.lib.vt.edu:10919/90299 |
| Date | 18 June 2019 |
| Creators | Boggs, George Lemuel IV |
| Contributors | Mechanical Engineering, Ng, Wing Fai, Lowe, K. Todd, Meadows, Joseph |
| Publisher | Virginia Tech |
| Source Sets | Virginia Tech Theses and Dissertation |
| Detected Language | English |
| Type | Thesis |
| Format | ETD, application/pdf |
| Rights | In Copyright, http://rightsstatements.org/vocab/InC/1.0/ |
Page generated in 0.0021 seconds