Design and Life Prediction Methodologies for Weight Efficient Ceramic Matrix Composite (CMC) Propulsion Components

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$69,999.00
Award Year:
2004
Program:
SBIR
Phase:
Phase I
Contract:
N68335-04-C-0109
Award Id:
69944
Agency Tracking Number:
N041-018-1712
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
5199 E. PACIFIC COAST HWY, SUITE # 410, LONG BEACH, CA, 90804
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
603371238
Principal Investigator:
Frank Abdi
Principal Investigator
(562) 985-1100
fabdi@alphastarcorp.com
Business Contact:
Kay Matin
President
(562) 985-1100
kmatin@alphastarcorp.com
Research Institution:
n/a
Abstract
It is proposed to apply the capabilities of an award wining integrated life prediction software to a Ceramic Matrix Composite (CMC) nozzle. Previously verified on (CMC) combustor/blade-track, the software will perform: 1) material characterization analysis of 2D/3D CMC architectures at the constituent level to predict suitability of newly available CMC materials to their application, 2) material uncertainty analysis and sensitivities of mechanical properties to show the variation in the intensity of potential failure modes, 3) progressive failure analysis predicting critical damage events, failure modes, inspection points/intervals, fracture paths, and life cycles based on micro-crack damage evolution, and 4) life uncertainty analysis and life extension under all operational conditions including the effects of oxidation, extreme thermal environments, and manufacturing process anomalies/variabilities in voids, defects, textile-architectures, and ply-angles. This life prediction code is capable of evaluating CMC structures under static, dynamic, impact, creep, thermal, low/high cycle fatigue, and random power spectral density loads. The life prediction software will be validated using COIC-Oxide/Oxide, and GEAE-melt-infiltrated SiC/SiC coupon test data, and with documented uncertainties under static, creep, and fatigue load-spectra. Life prediction for nozzle design will reveal: Multi-site damage initiation/propagation locations, residual strength, micro-crack-density, and virtual non-destructive evaluation/inspection monitoring via exhausted energy release rates.

* information listed above is at the time of submission.

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