Loading...

Numerical study of soot nano-aerosol formation in a JP combustor embedded with a mini-scale air-distributor

Darbandi, M ; Sharif University of Technology | 2017

702 Viewed
  1. Type of Document: Article
  2. DOI: 10.2514/6.2017-4500
  3. Publisher: American Institute of Aeronautics and Astronautics Inc, AIAA , 2017
  4. Abstract:
  5. The main objective of this work is to investigate the effects of using a miniature or mini-scale air-distributor on the formation of soot nano-particles in a gas turbine combustor burning the jet propellant JP. To evaluate the achieved numerical predictions, it is necessary to choose a test case with available experimental data. It helps to compare the predicted flame structure with that of measurement. After the validation step, the chosen combustor configuration is modified to an inverse non-premixed flame configuration. This helps to split the incoming air between the primary and secondary air streams and to inject the primary air into the inverse flame via a primary air injector. However, the rest of incoming air enters into the combustor as the secondary air stream. Performing this modification, a mini-scale air-distributor can be embedded as the primary air injector to the inverse non-premixed flame. Such modification is known as COSTAIR technology. To model the embedded miniature air-distributor inside the combustor, it needs careful implementation of the boundary conditions. To study the effects of COSTAIR technology in improving a primary JP-fueled combustor, we present the distributions of temperature, soot volume fraction, and soot particle diameter within the combustor with and without implementing the COSTAIR technology. The comparisons indicate that the miniature air-distributor effectively reduces the emissions of pollutants at the combustor exhaust. Furthermore, its effectiveness is quantified in this work. © 2017, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved
  6. Keywords:
  7. Computational fluid dynamics ; Fluid dynamics ; Soot ; Aerosol formation ; Flame structure ; Gas turbine combustor ; Inverse flame ; Non-premixed flame ; Numerical predictions ; Soot particles ; Soot volume fraction ; Combustors
  8. Source: 23rd AIAA Computational Fluid Dynamics Conference, 2017, 5 June 2017 through 9 June 2017 ; 2017 ; 9781624105067 (ISBN)
  9. URL: https://arc.aiaa.org/doi/10.2514/6.2017-4500