Health monitoring of smart composite structures using ultrasonic guided waves

2000 ◽  
Author(s):  
Thomas Monnier ◽  
Philippe Guy ◽  
Yves Jayet ◽  
Jean-Claude Baboux ◽  
Michelle Salvia
Keyword(s):  
Health Monitoring ◽  
Composite Structures ◽  
Guided Waves ◽  
Ultrasonic Guided Waves ◽  
Smart Composite ◽  
Smart Composite Structures

Verification of Robustness in Smart Composite Structures

2008 ◽  
Vol 56 ◽  
pp. 315-323
Author(s):  
Nira Kipnis ◽  
Rachel Tkach ◽  
Eyal Shpitzer ◽  
Dror Kipnis
Keyword(s):  
Composite Material ◽  
Electrical Properties ◽  
Boundary Conditions ◽  
Health Monitoring ◽  
Composite Structures ◽  
Smart Composite ◽  
Monitoring Methods ◽  
Mechanical And Electrical Properties ◽  
Smart Composite Structures ◽  
Capacitance Response

In order to implement health monitoring methods in composite material structures that are being developed and manufactured, a series of preliminary tests was conducted. The aim was to check the influence of an implemented SMART® layer on a graphite-epoxy structure, its durability and its ability to detect changes in the structure. A series of preliminary tests was conducted, in order to check the mechanical and electrical properties of the plate-sensors system (strength, rigidity, PZT capacitance, response to voltage input). The outcome of these experiments showed that the SMART Layer® (by Acellent Technology Inc.) increased the graphite-epoxy plate's flexibility, and the piezo-sensors were found to survive this procedure with no distinguishable damage. Subsequently, experiments were performed, to detect changes in boundary conditions imposed on the plate. A visual verification indicating changes in boundary conditions or the presence of simulated damage was received.

Finite Element Martensite Ratio Derivation on NiTi via Measurable Criteria of Strain Rate

2009 ◽  
Author(s):  
Abbas Amini ◽  
Hamid Mehdigholi ◽  
Mohammad Elahinia
Keyword(s):  
Mathematical Model ◽  
Strain Rate ◽  
Composite Structures ◽  
High Sensitivity ◽  
Smart Composite ◽  
Rate Dependency ◽  
Smart Composites ◽  
Measurable Amount ◽  
Macro Scale ◽  
Smart Composite Structures

The shape memory alloys (SMAs) and smart composites have a large use in high and low level industry, while a lot of research is being done in this field. The existence of smart composite structures is because of the advance mechanical benefits of the above materials. This work refers to dynamic and quasi static nonlinear explanation of these materials. After mathematical model consideration on the rate of strain, a model which is about martensite ratio of NiTi has been presented. This work has been done because of the high sensitivity of these materials to strain rate and use of visual and measurable engineering criteria to access other variables. As the martensite ratio is not engineering measurable amount, it needs to have macro scale property to measure this important nano scale criteria. Relative experiments are done to show the rate dependency of NiTi.

scholarly journals Additive Manufacturing of Smart Composite Structures Based on Flexinol Wires

Materials ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 499
Author(s):  
Olaf Dudek ◽  
Wojciech Klein ◽  
Damian Gąsiorek ◽  
Mariusz Pawlak
Keyword(s):  
Shape Memory ◽  
Composite Structure ◽  
Composite Structures ◽  
Shape Memory Material ◽  
Smart Composite ◽  
Memory Material ◽  
Current Voltage ◽  
Smart Composite Structures ◽  
3D Printed ◽  
Special Approach

3D printing of a composite structure with shape memory materials requires a special approach to the subject, at the stage of the design and printing process. This paper presents the design steps during the development of a 3D-printed composite structure with shape memory material. The connection points between the SMA fibers and the printer filament are developed in the MATLAB environment. Finite element method is used to simulate the shortening of the shape memory material under the influence of temperature and its effect on the printed polymer material is presented. In the MATLAB environment, evolutionary algorithms were used to determine the shape of the SMA fiber alignment. This work demonstrates the use of shape memory effect in 3D printed smart composite structures, where the component takes a predetermined shape. The structure obtained as a result of such printing changes with the heat generated by the current voltage, making it the desired fourth dimension.

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