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Combined Analytical and Experimental Approaches to Rotor and Dynamic Component…

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
87468
Program Year/Program:
2009 / SBIR
Agency Tracking Number:
N081-021-1052
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Techno-Sciences, Inc.
11750 Beltsville Drive 3rd Floor Beltsville, MD -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2009
Title: Combined Analytical and Experimental Approaches to Rotor and Dynamic Component Stress Predictions
Agency / Branch: DOD / NAVY
Contract: N68335-09-C-0186
Award Amount: $248,939.00
 

Abstract:

The accurate prediction of rotor and dynamic component load/stress remains an elusive goal. Despite major advancements in computational fluid dynamics (CFD) techniques, prediction of the unsteady aerodynamic loads acting on the blades continues to be a formidable computational task. The accuracy of these predictions remains problematic. Accordingly, Techno-Sciences, Inc. (TSi), in collaboration with the Alfred Gessow Rotorcraft Center at the University of Maryland (UMD), proposes to develop an Advanced Rotorcraft Load Prediction (ARLP) tool for rotor and dynamic components that features combined analytical and experimental approaches. During the Phase I effort, we have focused on prediction correlations with Blackhawk flight test data in level flight and maneuvering flight modes, for which we have obtained very good correlation results to date. Further performance gains will be achieved in Phase II as the ARLP system is refined and extended. Sensor measurements (strain, acceleration, loads, etc.) will be used to derive airloads and constantly improve analytical load predictions to yield a combined analytical/experimental predictive tool. At the conclusion of the Phase II program, we will be able to use the ARLP to expertly predict the load/stress of the rotor and dynamic components that will benefit the Navy structural health and usage monitoring (SHUM) program for fault and fatigue analyses.

Principal Investigator:

Gang Wang
Principal Investigator
2407900600
wangg@technosci.com

Business Contact:

Amy Hizoune
Principal Investigator
2407900600
aph@technosci.com
Small Business Information at Submission:

TECHNO-SCIENCES, INC.
11750 Beltsville Drive 3rd Floor Beltsville, MD 20705

EIN/Tax ID: 952954785
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No