Distinguishing Among Transverse Jet Instabilities with Data-Based Reduced Order Models
Abstract
a collaborative research effort between the University of California, Los Angeles (UCLA) and the Universidade Federal Fluminense (UFF) in Brazil, aimed at developing reduced order models (ROMs) to predict transitions in stability characteristics of the gaseous jet in crossflow (JICF). The JICF is a complex flow field with important applications in unsteady aerodynamics, including exhaust nozzle flow control, thrust vectoring, and fuel injection in air-breathing engines. By combining experimental and analytical-computational studies, the researchers seek to identify the coefficients of amplitude equations for the JICF using the Sparse Identification of Nonlinear Dynamics (SINDy) approach and develop a data-based ROM for the JICF. This research has the potential to significantly impact the development of control strategies for the JICF, enabling improved flow control and mixing in various aerospace applications.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Feb 06, 2025
- Source ID
- FA86552518437
Entities
People
- Leonardo Alves
Organizations
- Air Force Office of Scientific Research
- Fluminense Federal University
- United States Air Force