Stiff and transparent materials are essential across industries such as aerospace, defense, and consumer electronics. Traditional materials like glass and ceramics, while effective, have limitations due to brittleness, high density, and low impact resistance. Consequently, there is a demand for lightweight, durable materials with favorable optical properties. Fiber-reinforced polymers (FRPs) offer high strength-to-weight ratios and greater impact resistance than glass and ceramics. Given the low light absorption of glass fibers in the visible spectrum, transparent glass fiber-reinforced polymers (TGFRPs) show promise as replacements for traditional transparent materials.

This thesis explores two main aspects: (1) optimizing TGFRP transparency through manufacturing parameters and (2) leveraging TGFRP transparency for damage detection and stress analysis. In the first phase, findings demonstrate that achieving high surface smoothness and maximizing light transmission within the green spectrum (520–600 nm) are crucial for enhancing TGFRP transparency. This is best controlled via post-curing, a more stable approach than adding methyl methacrylate (MMA) as suggested in existing literature. Sizing was also found to play a critical role in transparency, ensuring optimal bonding between glass fibers and the matrix. Additionally, minimizing the number of glass fiber fabric layers improved transparency by reducing transmission losses across visible wavelengths.

The second phase investigated the transparency of TGFRP for visualizing internal damage and stress distributions. Confocal microscopy was used to observe cracks at various depths within TGFRP samples, while image processing techniques, such as thresholding, were employed to calculate crack density. The results indicate that a higher crack density corresponds to reduced light transmittance across the visible range. However, some limitations were encountered, as cracks and scratches on the upper layers cast shadows on the lower layers, complicating the detection of deeper damage.

During tensile testing of open-hole specimens, significant opacity changes were observed in high-strain regions, suggesting that opacity correlates with localized stress. Digital image correlation (DIC) and grayscale histogram analysis provided insights into the strain thresholds at which opacity changes begin. Future work could build on this by examining the extent to which opacity changes are due to refractive index variations alone, independent of crack formation, using these strain levels as a baseline.

Furthermore, verifying the reversibility of opacity changes through post-test spectrophotometry could position TGFRPs as highly effective materials for developing innovative and reliable non-destructive testing, damage detection, and stress visualization methods in glass fiber-reinforced polymer composites.

This master’s thesis focuses on the design and assembly of an innovative tow spreading line for investigating carbon fiber tow spreading through the utilization of spreader bars. The primary objective was to examine the friction behavior during the spreading process by employing multiple tension sensors. Additionally, novel monitoring concepts including 4-point resistivity sensing, optical width and gap detection, and optical analysis for determining fiber orientation within the carbon tow were introduced. Through a series of experiments conducted on the newly built setup, comprehensive data was collected and analyzed. The findings revealed an intriguing observation that deviates from the established Capstan equation. It was observed that an increase in tension in the tow resulted in a reduced apparent friction coefficient during bar tow spreading. This departure from the conventional understanding of friction dynamics in this scenario contributes valuable insights to the field of carbon fiber tow spreading. Furthermore, the feasibility of utilizing resistivity measurements as a means of detecting material anomalies, such as damage or waviness, was investigated. The results demonstrated that this technique, while partially reliant on tow tension, consistently detected such anomalies. However, challenges were encountered in achieving quantitative consistency in the optical orientation analysis, making it difficult to obtain robust results in this aspect. The experimental monitoring setup also revealed an increase of approximately 20% in the width of the tow. To enhance process repeatability, recommendations are proposed to upgrade several components of the built experimental line. Moreover, it is advised to further test and develop the software analysis techniques to achieve a higher degree of repeatability, thus potentially validating the obtained results. In conclusion, this research contributes to the understanding of carbon fiber tow spreading through the design and assembly of an experimental production line, examination of friction behavior, and the introduction of novel monitoring techniques. The outcomes serve as a foundation for future investigations and advancements in this domain, with the potential to enhance the efficiency and quality of carbon fiber tow spreading processes.

Solutions for reducing greenhouse gas emissions are paramount under the current environmental circumstances. With methane and carbon dioxide being the most critical emission gasses, SigmaSat set out to find a way to reduce these emissions and simultaneously fulfill its scientific mission. While executing the scientific mission of designing a small satellite mission to demonstrate the latest advances in artificial intelligence, SigmaSat managed to devise a design that allows players in the energy production industry (such as refineries) to drastically reduce their methane and CO2 emissions.