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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Additive Manufacturing of Self-Sensing Materials

Angeria, Benyam January 2022 (has links)
A self-sensing material can not only carry a load but can also provide data aboutthe load and stress it’s being subjected to. Traditional additive manufacturing haslimited capabilities in producing self-sensing material. Existing 3D printers eitherused in industry or in scientific applications are either limited by closed-off software and planar motion which limits the design freedom, or the type of material orcost often limiting the attainability. Being capable of placing self-sensing materialwith full design freedom means that the sensor structure as well as the load carryingpart of the material can be tailored to the application specific use of the material,making application specific load carrying and sensing capabilities possible. Themanufacturing method produced in this aims to solve these existing limitations. Aliterature review in the topic of additive manufacturing of self-sensing material andcontinuous Carbon Fiber Reinforced Thermoplastics (CFRTPs) has been producedas a literature base. The review seeks to educate and inspire the design of an noveladditive manufacturing method and device capable of printing a self-sensing material as well as non-planar motion. A design for extruding self-sensing material andnon-planar motion has been realized through modified Commercial-Off-The-Shelf(COTS) parts and Geometric Code (G-Code). Existing hardware capable of producing this can be priced in the range of 70 000 C, but this result has been achievedwith around 200 C [42]. A software structure capable of manufacturing the selfsensing material has been produced. Real-world testing in terms of extrusion of theself-sensing material and non-planar motion has been tested and proven which arethe main practical outcomes demonstrating the technological feasibility.
2

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.

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