Quasi-active, minimal-sensing load and damage identification and quantification techniques for filament-wound rocket motor casings

2007 ◽  
Author(s):  
Nick Stites ◽  
Carlos Escobar ◽  
Jonathan White ◽  
Douglas E. Adams ◽  
Matt Triplett
Keyword(s):  
Damage Identification ◽  
Rocket Motor ◽  
Filament Wound ◽  
Identification And Quantification

Filament Wound Kevlar 49/Epoxy Rocket Motor Cases

1979 ◽  
Vol 1 (3) ◽  
pp. 7
Author(s):  
TT Chiao ◽  
PL Lien ◽  
RJ Morgan ◽  
KL Reifsnider ◽  
RR Heitkamp ◽  
...  
Keyword(s):  
Rocket Motor ◽  
Filament Wound

Infrared Nondestructive Testing of Glass Filament-Wound Rocket Motor Cases

2009 ◽  
pp. 105-105-10
Author(s):  
Frederick E. Alzofon ◽  
Lester E. Florant ◽  
Richard K. Ronald ◽  
Marvin J. Vann ◽  
Julian E. FItzgerald
Keyword(s):  
Nondestructive Testing ◽  
Rocket Motor ◽  
Filament Wound ◽  
Glass Filament

Damage Identification of a Gear Transmission Using Vibration Signatures

2003 ◽  
Vol 125 (2) ◽  
pp. 394-403 ◽  
Author(s):  
F. K. Choy ◽  
D. H. Mugler ◽  
J. Zhou
Keyword(s):  
Wavelet Transform ◽  
Damage Identification ◽  
Gear Tooth ◽  
Diagnostic System ◽  
Vibration Signal ◽  
Transmission System ◽  
Gear Transmission ◽  
Signature Analysis ◽  
Gear Transmission System ◽  
Identification And Quantification

Important advancements in preventive maintenance of rotor-craft gear transmission systems are currently being sought for the development of an accurate machine health diagnostic system. Such a diagnostic system would use vibration or acoustic signals from the gear transmission system for (1) rapid on-line evaluation of gear wear or damage status, and (2) prediction of remaining gear life. Such health diagnostic capabilities would be essential for effective machine event/life management and advance warning before critical component failures. This paper demonstrates the use of vibration signature analysis procedures for health monitoring and diagnostics of a gear transmission system. The procedures used in this paper include (i) the numerical simulation of the dynamics of a gear transmission system with single and multiple tooth damage, (ii) the application of the Wigner-Ville Distribution (WVD) and the Wavelet transform in damage identification and quantification of damaged tooth based on the numerically generated vibration signal, and (iii) the application of both WVD and the Wavelet transform on experimental data at various stage of gear failure obtained from an accelerated gear damage test rig. This paper demonstrates that the developed signature analysis procedure can successfully detect faulty gears in both numerically simulated and experimental tested transmission system. General conclusions on identification and quantification of gear tooth damage are drawn based on the results of this study.

Using potential of filament-wound carbon/glass polymeric composites as rocket motor thermal insulation

2021 ◽  
Vol 29 (9_suppl) ◽  
pp. S1541-S1554
Author(s):  
Jelena Rusmirović ◽  
Jela Galović ◽  
Marija Kluz ◽  
Srdja Perković ◽  
Saša Brzić ◽  
...  
Keyword(s):  
Thermal Insulation ◽  
Glass Fibers ◽  
Polymeric Composites ◽  
Peak Height ◽  
Mechanical Analysis ◽  
Rocket Motor ◽  
Filament Winding ◽  
Woven Fabric ◽  
Filament Wound ◽  
Interlaminar Shear

The study aim is to develop hybrid filament-wound polymeric composites based on flame retardant polyester resin (UPe) and multi-layer structured glass or combined carbon and glass fibers for use as ablative thermal insulation of rocket motor by wet filament winding technique. The composites have a multi-layered structure consisting of two layers of carbon (CF) or glass woven fabric (GF) and one layer of carbon or glass direct roving (CR or GR, respectively), repeated in three cycles. Structural analysis, performed using FTIR spectroscopy and dynamical-mechanical analysis, confirm highly polymerized network. Lower values of the tanδ peak height indicate improved interfacial adhesion between carbon/glass fibers and UPe. The improvements of thermal insulation index of 37% and erosion rate of 38.6% at 180°C are achieved for combined carbon/glass fiber–based composite compared to the neat UPe. Tensile and interlaminar shear properties are investigated according to the fiber orientation and the highest values of tensile and interlaminar shear strengths are obtained for composites with longitudinal orientation, 417.48 MPa and 22.30 MPa, respectively. Compared to the neat UPe, which degrades after 50 s at 3000°C, the composites are stable up to 192 s.

scholarly journals Damage Identification and Quantification in Beams Using Wigner-Ville Distribution

Sensors ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 6638
Author(s):  
Andrzej Katunin
Keyword(s):  
Damage Identification ◽  
Boundary Effect ◽  
Parametric Method ◽  
High Sensitivity ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
Novel Method ◽  
Local Stiffness ◽  
Non Destructive ◽  
Identification And Quantification

The paper presents the novel method of damage identification and quantification in beams using the Wigner-Ville distribution (WVD). The presented non-parametric method is characterized by high sensitivity to a local stiffness decrease due to the presence of damage, comparable with the sensitivity of the wavelet-based approaches, however the lack of selection of the parameters of the algorithm, like wavelet type and its order, and the possibility of reduction of the boundary effect make this method advantageous with respect to the mentioned wavelet-based approaches. Moreover, the direct relation between the energy density resulting from the application of WVD to modal rotations make it possible to quantify damage in terms of its width and depth. The results obtained for the numerical modal rotations of a beam presented in this paper, simulating the results of non-destructive testing achievable with the shearography non-destructive testing method, confirm high accuracy in localization of a damage as well as quantification of its dimensions. It was shown that the WVD-based method is suitable for detection of damage represented by the stiffness decrease of 1% and can be identified and quantified with a high precision. The presented results of quantification allowed extracting information on damage width and depth.

scholarly journals Gearbox damage identification and quantification using stochastic resonance

2017 ◽  
Vol 18 (7) ◽  
pp. 705
Author(s):  
Clement U. Mba ◽  
Stefano Marchesiello ◽  
Alessandro Fasana ◽  
Luigi Garibaldi
Keyword(s):  
Stochastic Resonance ◽  
Damage Identification ◽  
Identification And Quantification
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