Skip Navigation
Small Business Innovation Research/Small Business Tech Transfer

Plume Diagnostics for Combustion Stability, Phase II

Completed Technology Project

Project Introduction

Plume Diagnostics for Combustion Stability, Phase II
Sierra Engineering Inc. and Purdue University propose to develop a non-intrusive plume instrument capable of detecting and diagnosing combustion instability. This Stability Diagnostic System (SDS) will be designed, assembled, and tested during this effort. The SDS will include a high-speed video camera and multiple photodiode detectors for observing the plume. It will also include a software package, which will aid in analyzing the plume data and in determining the acoustic modes of the instability. To ensure that the system works properly, Sierra and Purdue will leverage an oxygen/kerosene combustor, developed under AFRL funding, to operate with unstable combustion. Technology previously developed at Purdue will be used to modify the engine's injector so that the combustion instability occurs. The dirty (soot laden) plume produced by this combustor better simulates the conditions present in full-scale hydrocarbon fueled engines. Finally, the methodology for predicting combustion response from plume observations, developed under the Phase I effort, will be matured. The SDS system and accompanying software will be delivered to NASA for future application on NASA test facilities. Successful completion of this project will provide a non-intrusive tool for detecting and diagnosing combustion instability that is superior to current, intrusive methods. More »

Primary U.S. Work Locations and Key Partners

Technology Transitions

Project Library

Share this Project

Organizational Responsibility

Project Management

Project Duration

Technology Areas

Light bulb

Suggest an Edit

Recommend changes and additions to this project record.

This is a historic project that was completed before the creation of TechPort on October 1, 2012. Available data has been included. This record may contain less data than currently active projects.