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Engine Particle Ingestion Classifier for Gas Turbine Engines

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-20-C-0093
Agency Tracking Number: N18A-023-0182
Amount: $1,799,872.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: N18A-T023
Solicitation Number: 18.A
Timeline
Solicitation Year: 2018
Award Year: 2020
Award Start Date (Proposal Award Date): 2019-11-12
Award End Date (Contract End Date): 2024-07-31
Small Business Information
16 Great Hollow Road
Hanover, NH 03755
United States
DUNS: 072021041
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Darin A Knaus
 Principal Investigator
 (603) 643-3800
 dak@creare.com
Business Contact
 Betsy Williams
Phone: (603) 640-2331
Email: contractsmgr@creare.com
Research Institution
 Arizona State University
 Thomas M. Cahill Thomas M. Cahill
 
P.O. Box 876011
Tempe, AR 85287
United States

 (602) 543-6021
 Nonprofit College or University
Abstract

Particle ingestion can be a significant issue for military aircraft with gas turbine engines. Ingested particles can erode or foul engine components such as cooling holes, accelerating engine wear, and decreasing service intervals. To better understand particle ingestion, and to plan maintenance, the Navy is interested in developing sensors that can measure particle loading in real time onboard operational gas turbine engines. Ingested particles may include sand, dust, salt spray, sulfates, or even volcanic ash. Particles with high melting temperature, such as quartz, may fully transit the engine when ingested. Particles with low melting points can melt in the engine and stick to cool engine surfaces. For this reason, the particle load, size, and composition are of interest. We propose to develop a novel sensor technology capable of measuring particle size, loading, and composition onboard operational aircraft in real time. The sensor is inherently compact and lightweight, and does not require probes or sampling tubes that interact with the flow. In Phase I, we demonstrated the feasibility of a novel approach to classify representative particles in the laboratory. In Phase II, we will develop and demonstrate a prototype flight sensor for measuring particle size, loading, and composition.

* Information listed above is at the time of submission. *

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