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Characterisation of an Additively Manufactured Self-Sensing Material Using Carbon Fibre Sensors
- Publication Year :
- 2023
- Publisher :
- Luleå tekniska universitet, Rymdteknik, 2023.
-
Abstract
- Increasing demand for structural health monitoring in space highlights the need to make the creation of these systems more accessible. This study investigates the potential of additive manufacturing to achieve this goal by characterizing a self-sensing material made of a commercially available 3D-printed continuous carbon fibre filament. The results demonstrate the feasibility of converting the filament into a strain sensor with improved sensitivity compared to conventional foil strain gauges. Mechanical and electromechanical properties of the self-sensing material were characterized, including an ultimate tensile strength of 45.09 ± 3.45 MPa, a failure strain of 38.93 ± 3.41%, and a base resistance of 759.11Ω. The tensile gauge factor was calculated to be 467.06 ± 375.90 within the strain range of 0% to 3.8% with a linearity (R2) of 0.93. For the first time, a systematic literature review compares mechanical and electromechanical properties to enable material selection for mechanical design incorporating self-sensing material. The study highlights that the spread of material properties in a group of materials indicates how well-developed a material is for self-sensing purposes. This study advances our understanding of the feasibility of using additive manufacturing to create self-sensing materials for structural health monitoring systems and opens up new avenues for further research.
- Subjects :
- Failure Strain
Base Resistance
Additive Manufacturing
Space Applications
Electromechanical Properties
Kompositmaterial och -teknik
Feasibility Study
Gauge Factor
Annan materialteknik
Linearity
Structural Health Monitoring
3D-Printed Continuous Carbon Fibre Filament
Tensile Strength
Self-Sensing Material
Mechanical Properties
Material Development
Other Materials Engineering
Manufacturing, Surface and Joining Technology
Material Selection
Carbon Fibre Sensors
Bearbetnings-, yt- och fogningsteknik
Composite Science and Engineering
Strain Sensor
Systematic Literature Review
Mechanical Design
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.od.......142..97d5349036f0f85b950b8f4ff46a3719