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1	Characterisation of an Additively Manufactured Self-Sensing Material Using Carbon Fibre Sensors Williamson, Alain January 2023 (has links) 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. Additive Manufacturing Self-Sensing Material Carbon Fibre Sensors Structural Health Monitoring Space Applications Strain Sensor Mechanical Properties Electromechanical Properties Tensile Strength Failure Strain Base Resistance Gauge Factor Linearity Systematic Literature Review Material Selection Mechanical Design Material Development Feasibility Study Composite Science and Engineering Kompositmaterial och -teknik Other Materials Engineering Annan materialteknik Bearbetnings-, yt- och fogningsteknik

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Characterisation of an Additively Manufactured Self-Sensing Material Using Carbon Fibre Sensors