Structural Health Monitoring Technology for Aerospace Composite Propellant Tank

2011 ◽  
Author(s):  
Sourav Banerjee ◽  
Piero Messidoro ◽  
Adriano Ferrarese ◽  
Shawn Beard ◽  
Ritubarna Banerjee
Keyword(s):  
Health Management ◽  
Hot Spot ◽  
Data Interpretation ◽  
Space Applications ◽  
Liner Material ◽  
Pressure Cycling ◽  
Diagnosis And Prognosis ◽  
Propellant Tank ◽  
Metal Liner ◽  
Metallic Liner

In this paper the experimental activities that were performed at Thales Alenia Space (TAS-I) System, Turin, Italy by Acellent Technologies Inc is presented. The final objective was defining a Vehicle / Vehicle Subsystem, built-in Health Management System which embeds self diagnosis and prognosis functions. Under this program a Composite Overwrapped Pressure Vessel (COPV) for space applications was monitored under pressure cycling (mechanical loading). The subscale demonstrator consisted of an aluminium metallic liner over wrapped by a CFRP layer. The metallic liner is seamless and manufactured by spin-forming. The liner material is aluminum AA6061 T6, with Yield Strength of 286 MPa, as declared by the bottle supplier (US Hydrospin); expected elongation to rupture is around 10%. The test was conducted for 3 days on a water filled COPV and at the end of three days the metal liner inside the propellant tank was cracked and caused water leakage. Acellent used a statistical data interpretation technique via feature extraction and data modeling approach to demonstrate that the system was able to generate the early alarm and also capable of localizing the damage which appeared at two hot spot locations.

Development and analysis of composite overwrapped pressure vessels for hydrogen storage

2021 ◽  
pp. 002199832110335
Author(s):  
Osman Kartav ◽  
Serkan Kangal ◽  
Kutay Yücetürk ◽  
Metin Tanoğlu ◽  
Engin Aktaş ◽  
...  
Keyword(s):  
Hydrogen Storage ◽  
Damage Model ◽  
Pressure Vessels ◽  
Filament Winding ◽  
Burst Pressure ◽  
Fe Model ◽  
Fe Method ◽  
Liner Material ◽  
Mechanical Performances ◽  
Metallic Liner

In this study, composite overwrapped pressure vessels (COPVs) for high-pressure hydrogen storage were designed, modeled by finite element (FE) method, manufactured by filament winding technique and tested for burst pressure. Aluminum 6061-T6 was selected as a metallic liner material. Epoxy impregnated carbon filaments were overwrapped over the liner with a winding angle of ±14° to obtain fully overwrapped composite reinforced vessels with non-identical front and back dome layers. The COPVs were loaded with increasing internal pressure up to the burst pressure level. During loading, deformation of the vessels was measured locally with strain gauges. The mechanical performances of COPVs designed with various number of helical, hoop and doily layers were investigated by both experimental and numerical methods. In numerical method, FE analysis containing a simple progressive damage model available in ANSYS software package for the composite section was performed. The results revealed that the FE model provides a good correlation as compared to experimental strain results for the developed COPVs. The burst pressure test results showed that integration of doily layers to the filament winding process resulted with an improvement of the COPVs performance.

The Uncertainty Analysis of Health Management Strategies for Aero-Engines

2012 ◽  
Vol 201-202 ◽  
pp. 34-38
Author(s):  
Zhen Hua Wen ◽  
Xin Yin ◽  
Yuan Peng Liu
Keyword(s):  
Health Management ◽  
Management Strategies ◽  
Flight Safety ◽  
Diagnosis And Prognosis ◽  
Uncertainty Sources ◽  
Information Monitoring ◽  
Aero Engine ◽  
Aero Engines ◽  
Fault Diagnosis And Prognosis ◽  
Total Life

The Aero-Engine Is the Heart of an Aircraft and Critical to the Flight Safety and Economy, Health Management in Total Life Cycle for Aero-Engines Is an Effective Way and Is Popularly Employed to Balance the Economy and Safety. however, it Is Difficult to Make Appropriate Health Management Strategies for a Complex System, such as Aero-Engines. Firstly the Uncertainty Source of Fault Diagnosis and Prognosis System Is Explored. then the Primary Uncertainty Sources Including Condition Information, Monitoring and Detection Approaches, Signal Detection, Remaining Lifetime Prediction and Maintenance Strategy-Making, Are Analyzed in this Context. the Corresponding Tactics for Reducing Uncertainty Are Proposed in the Paper, which Provides Essential References for Assisting the Design for Health Management System.

Effects of a Void Beneath a Kapton Heater Patch in a Vacuum

2004 ◽  
Author(s):  
Ryan A. Schmidt
Keyword(s):  
Heat Flux ◽  
Hot Spot ◽  
Thermal Control ◽  
Heat Fluxes ◽  
Void Size ◽  
Conduction Path ◽  
Space Applications ◽  
Affected Area ◽  
Conduction Pathway ◽  
Substrate Temperatures

The vacuum of space can lead to some interesting heater problems. In many space applications, heater patches consisting of Inconel elements joined together with Teflon sandwiched together between two Kapton layers are bonded to a structure (substrate) to provide thermal control. A void between the heater patch and the substrate can lead to a hot spot due to the loss of conduction path from the heater to the substrate. When the heater is in a vacuum with a void beneath it, heat is transferred to the substrate by radiation and fin effects through the heater and then to the substrate. The localized hot spot can cause heater layers to separate and further reduce the conduction pathway from the affected area and eventually burnout the heater. A large enough void combined with high heater heat fluxes and substrate temperatures can induce heater failures. For this paper the sensitivity of peak temperature with respect to heat flux (power density), substrate temperature, void size, and void location is considered.

Spatial clustering and associations of two savannah tsetse species, Glossina morsitans submorsitans and Glossina pallidipes (Diptera: Glossinidae), for guiding interventions in an adaptive cattle health management framework

2010 ◽  
Vol 100 (6) ◽  
pp. 661-670 ◽  
Author(s):  
A. Sciarretta ◽  
Getachew Tikubet ◽  
J. Baumgärtner ◽  
Melaku Girma ◽  
P. Trematerra
Keyword(s):  
Health Management ◽  
Spatial Clustering ◽  
Hot Spot ◽  
Temporal Distribution ◽  
Glossina Pallidipes ◽  
Monitoring And Control ◽  
Glossina Morsitans ◽  
Glossina Morsitans Submorsitans ◽  
The North ◽  
Short Rainy Season

AbstractThe paper deals with tsetse (family Glossinidae) control and aims at improving the methodology for precision targeting interventions in an adaptive pest management system. The spatio-temporal distribution of Glossina morsitans submorsitans Newstead, and Glossina pallidipes Austen, at Ethiopia's Keto pilot site, is analyzed with the spatial analysis by distance indices (SADIE) methodology that focus on clustering and spatial associations between species and between sexes. Both species displayed an aggregated distribution characterised by two main patches in the south and an extended gap in the north. Spatial patterns were positively correlated and stable in most cases, with the exception of the early dry season and the short rainy season when there were differences between the species and sexes. For precision targeting interventions, the presented methods here are more effective than the previously used geostatistical analyses for identifying and delimiting hot spots on maps, measuring shapes and sizes of patches, and discarding areas with low tsetse density. Because of the improved knowledge on hot spot occurrences, the methods allow a better delimitation of the territory for control operations and a more precise computation of the number of the relatively expensive traps used for monitoring and control purposes.

scholarly journals Prognostic and Health Management of Active Assets in Nuclear Power Plants

2020 ◽  
Vol 6 (3) ◽  
Author(s):  
Vivek Agarwal ◽  
Nancy Lybeck ◽  
Binh T. Pham ◽  
Richard Rusaw ◽  
Randall Bickford
Keyword(s):  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Health Management ◽  
National Laboratory ◽  
Remaining Useful Life ◽  
Prognostic Models ◽  
Idaho National Laboratory ◽  
Diagnosis And Prognosis ◽  
Prognostic And Health Management

This paper presents the development of diagnostic and prognostic capabilities for active assets in nuclear power plants (NPPs). The research was performed under the Advanced Instrumentation, Information, and Control Technologies Pathway of the Light Water Reactor Sustainability Program. Idaho National Laboratory researched, developed, implemented, and demonstrated diagnostic and prognostic models for generator step-up transformers (GSUs). The Fleet-Wide Prognostic and Health Management (FW-PHM) Suite software developed by the Electric Power Research Institute was used to perform diagnosis and prognosis. As part of the research activity, Idaho National Laboratory implemented 22 GSU diagnostic models in the Asset Fault Signature Database and two wellestablished GSU prognostic models for the paper winding insulation in the Remaining Useful Life Database of the FW-PHM Suite. The implemented models along with a simulated fault data stream were used to evaluate the diagnostic and prognostic capabilities of the FW-PHM Suite. Knowledge of the operating condition of plant asset gained from diagnosis and prognosis is critical for the safe, productive, and economical long-term operation of the current fleet of NPPs. This research addresses some of the gaps in the current state of technology development and enables effective application of diagnostics and prognostics to nuclear plant assets.

scholarly journals Assessment of Noise Pollution at Different Bus Stations in Lucknow City of Uttar Pradesh, India

2021 ◽  
Vol 9 (VII) ◽  
pp. 2387-2393
Author(s):  
Bhavesh Kumar Singh
Keyword(s):  
Noise Level ◽  
Hot Spot ◽  
Sensory System ◽  
Uttar Pradesh ◽  
Noise Pollution ◽  
Data Interpretation ◽  
Bus Station ◽  
High Level ◽  
Excessive Noise

Noise is word related to undesire sound which disrupts quality of life .when the noise present in ambience exceeds the prescribed limits is called as noise .Excessive noise disrupts day to day activity such as sleep, conversation. It is a type of pollutant which was earlier neglected but as the growth and development took place, excessive noise started to disturb human activity .this lead to identification, quantification and regulation of noise by WHO .the paper present the noise pollution data interpretation of two bus stations of Lucknow city in the month of February 2021. Exposure to elevated level of noise may cause serious weight on the sound-related and sensory system This study deals with assessment of noise pollution at bus station of Lucknow. The noise level was monitored at Charbagh, Awadh and Nahariya for two day each with help of sound pressure level (SPL 1352). Since these three bus stations are inter as well as intra state bus station as they connect the Lucknow with various neighbouring districts so noise level generated here is quite high. Maximum numbers of buses are being operated from these three bus stations to cater the demand of people. With help of noise level various noise parameters were calculated such as L10, L90, L50, Leq, NC, LNP and TNI. for the purpose of proper study and representation of noise present at bus station. Leq value at Charbagh ranges from 73.5-82.3dB and for Awadh it ranges from74.6-82.7dB and for Nahariya it ranges from 77.8-84.4dB .It is observed that all the selected locations, the level of noise was found to be above prescribed noise standard level of CPCB. Such as high level of noise at bus station cause mental discomfort to passengers that needs to be taken care of while designing the bus terminal and proper attention must be paid to reduce to reduce mental agony to passengers as the number of buses are increasing so the noise level. Since Lucknow is still under the process of development thus it becomes to identify locations of noise hot spot and place suitable solutions and strategies to control the menace of noise pollution.

scholarly journals A Survey of Health Management User Objectives in Aerospace Systems Related to Diagnostic and Prognostic Metrics

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Kevin R. Wheeler ◽  
Tolga Kurtoglu ◽  
Scott D. Poll
Keyword(s):  
Health Management ◽  
Lessons Learned ◽  
Management Systems ◽  
Detailed Survey ◽  
Engineering Development ◽  
Diagnosis And Prognosis ◽  
Aerospace Applications ◽  
Aerospace Systems ◽  
Technical Challenges ◽  
Management Functions

One of the most prominent technical challenges to effective deployment of health management systems is the vast difference in user objectives with respect to engineering development. In this paper, a detailed survey on the objectives of different users of health management systems is presented. These user objectives are then mapped to the metrics typically encountered in the development and testing of two main systems health management functions: diagnosis and prognosis. Using this mapping, the gaps between user goals and the metrics associated with diagnostics and prognostics are identified and presented with a collection of lessons learned from previous studies that include both industrial and military aerospace applications.

scholarly journals Rotordynamic Faults: Recent Advances in Diagnosis and Prognosis

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Ryan Walker ◽  
Sureshkumar Perinpanayagam ◽  
Ian K. Jennions
Keyword(s):  
Condition Monitoring ◽  
Health Management ◽  
Rotating Machinery ◽  
Fault Identification ◽  
Bearing Failure ◽  
Rotating Machines ◽  
Diagnosis And Prognosis ◽  
Recent Developments ◽  
Identification Techniques ◽  
Intense Research

Diagnosis and condition monitoring in rotating machinery has been a subject of intense research for the last century. Recent developments indicate the drive towards integration of diagnosis and prognosis algorithms in future integrated vehicle health management (IVHM) systems. With this in mind, this paper concentrates on highlighting some of the latest research on common faults in rotating machines. Eight key faults have been described; the selected faults include unbalance, misalignment, rub/looseness, fluid-induced instability, bearing failure, shaft cracks, blade cracks, and shaft bow. Each of these faults has been detailed with regard to sensors, fault identification techniques, localization, prognosis, and modeling. The intent of the paper is to highlight the latest technologies pioneering the drive towards next-generation IVHM systems for rotating machinery.

Diagnosis and prognosis of slow speed bearing behavior under grease starvation condition

2017 ◽  
Vol 17 (3) ◽  
pp. 532-548 ◽  
Author(s):  
Mohamed Elforjani
Keyword(s):  
Acoustic Emission ◽  
Health Management ◽  
Processing Technique ◽  
Remaining Useful Life ◽  
Slow Speed ◽  
Signal Processing Technique ◽  
Monitoring And Diagnosis ◽  
Diagnosis And Prognosis ◽  
Recent Developments ◽  
Machine Health

The monitoring and diagnosis of rolling element bearings with acoustic emission and vibration measurements has evolved as one of the much used techniques for condition monitoring and diagnosis of rotating machinery. Furthermore, recent developments indicate the drive toward integration of diagnosis and prognosis algorithms in future integrated machine health management systems. With this in mind, this article is an experimental study of slow speed bearings in a starved lubricated contact. It investigates the influence of grease starvation conditions on detection and monitoring natural defect initiation and propagation using acoustic emission approach. The experiments are also aimed at a comparison of results acquired by acoustic emission and vibration diagnosis on full-scale axial bearing. In addition to this, the article concentrates on the estimation of the remaining useful life for bearings while in operation. To implement this, a multilayer artificial neural network model has been proposed to correlate the selected acoustic emission features with corresponding bearing wear throughout laboratory experiments. Experiments confirm that the obtained results were promising and selecting this appropriate signal processing technique can significantly affect the defect identification.

Effect of Polymer Liners in Different Via Shapes: Impact on Crosstalk Induced Delay

2021 ◽  
Author(s):  
Maya Chandrakar ◽  
Manoj Kumar Majumder
Keyword(s):  
Integrated Circuit ◽  
Coefficient Of Thermal Expansion ◽  
Electrical Network ◽  
Worst Case ◽  
Liner Material ◽  
Low Dielectric ◽  
Aspect Ratios ◽  
Cte Mismatch ◽  
Metal Liner ◽  
The Impact

Abstract The performance of a through silicon via (TSV) based 3D integrated circuit technology is primarily dependent on the choice of an appropriate liner material. The most commonly used liner material SiO2 is undergoing considerable reliability challenges such as coefficient of thermal expansion (CTE) mismatch, scallop formation, and interfacial delamination related problems. Therefore, TSVs employed with a polymer liner have achieved significant attention in recent years due to their low dielectric constant and excellent step coverage along the via surface that can effectively reduce thermal stress and crosstalk induced delay. This paper presents a comprehensive and accurate RLGC model for different via shapes considering the impact of various liner materials on the crosstalk induced delay. Considering an accurate via geometry and material properties at 32 nm and 45 nm technology, the proposed equivalent RLGC parameters include the cumulative effects of TSV metal, liner, bump, and the silicon substrate. The aforementioned parameters are used to model a novel T-type equivalent electrical network of cylindrical, tapered, and coaxial TSVs considering a coupled driver-via-load (DVL) setup. The proposed equivalent models of different via shapes are used to demonstrate the worst-case crosstalk induced delay in TSVs under the influence of various liner materials. Considering a tapered TSV, a significant improvement in crosstalk induced delay at 32 nm w.r.t. 45 nm technology is observed as 53.5%, 33.76%, and 19.12% at aspect ratios of 2.4, 3, and 4, respectively for the BCB liner.

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