Resonance prediction and mitigation in rectangular twin-jets.
Abstract
Driven by increasing demands for efficiency and reduced radar signature, many next-generation tactical aircraft employ airframe-integrated twin-engine propulsion systems. The exhausts of these engines can interact in a way that makes them significantly louder than simply the sum of two engines. The noise that this interaction produces can be so extreme that it is dangerous to both the aircraft and the health of nearby personnel. While there are some existing techniques that may somewhat mitigate this noise, they come with thrust or weight penalties that make them unacceptable for tactical aircraft. The twin-jet interaction problem is particularly relevant with the increased use of composite materials and radar-absorbing coatings on next-generation tactical aircraft. This project will build theoretical models, validated against extensive experimental measurements, that can predict when this interaction noise will be most severe, and how it can be best mitigated. The project builds on an existing research program in Australia; this alignment makes provides an opportunity for cost-effective research that benefits both countries. Novel theoretical tools, recently developed by the research team at Monash University, have the potential to provide predictions of jet interaction noise with relatively low computational cost, making them an ideal design tool. These tools will be extended to address engine exhaust geometries of particular interest to the Office of Naval Research. The proposed project is collaborative in nature, designed to integrate with existing ONR efforts in this space. The expected outcomes of the project include a deeper understanding of the fundamental mechanisms of resonance in twin-jet systems, as well as tools to guide both design and control strategies. These tools can aid in both the design of next-generation systems, as well as guide mitigation efforts for current-generation aircraft.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jul 08, 2022
- Source ID
- N000142212503
Entities
People
- Daniel Edgington-Mitchell
Organizations
- Monash University
- Office of Naval Research
- United States Navy