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Hållbarare filterbyten i industriella luftreningssystem - Utveckling av en återanvändbar filterkonstruktion för Absolent AB
(2026) Jägeblad Wennroth, Hannes; Öjerskog, Leo
This thesis project was conducted in collaboration with Absolent AB and aimed to develop a new solution for the company’s inclined filter cartridges used in oil mist filtration units. In the current design, the filter cartridges are permanently riveted to a filter frame, requiring the entire assembly to be replaced when the filter reaches the end of its service life. This results in unnecessary material consumption, increased transportation costs, and greater environmental impact. The objective of the project was to develop a design that allows only the filter cartridge to be replaced while enabling the supporting filter frame to be reused. Based on identified customer needs and technical requirements, several concepts were developed and evaluated before a final concept was selected for further development. The proposed solution consists of a divisible filter frame equipped with hinges and a locking mechanism, allowing the structure to be opened and the filter cartridge to be replaced without replacing the entire filter assembly. The design maintains the required filter inclination while ensuring sufficient sealing against the existing gasket. CAD models and a physical prototype were used to verify the functionality of the concept. The results indicate that it is technically feasible to reuse the filter frame while replacing only the filter cartridge. The solution is expected to reduce material consumption, transportation volume, and associated costs, while being compatible with existing products with only minor modifications. However, further development and validation are required before the concept can be implemented in full-scale production.
Functional Characterisation of Adaptive Variants in Saccharomyces cerevisiae Evolved under Lignocellulosic Stress. A Proteomics Analysis
(2026) Widing, Marcus
Waste streams from lignocellulosic biomass are underutilised substrates that can be converted into value added compounds using yeast fermentation. In a previous study a strain of Saccharomyces cerevisiae with increased tolerance to lignocellulosic spruce hydrolysate was developed and mutated genes of interest were identified. This thesis aimed to investigate what functional changes lead to this increase in tolerance. Individual knockouts of the mutated genes were introduced in Wild Type S. cerevisiae (CEN.PK113-7D) to identify gene-specific effects. The strains proteomes were quantified at two stages of growth and compared to a Wild Type using label free quantitative proteomics. Gene Ontology of common biological processes between strains revealed largest differences in expression of proteins related to transmembrane transport, carbohydrate metabolic processes and fatty acid β-oxidation. Uncharacterised upregulated proteins in the strain with increased tolerance suggested a novel pathway potentially connected to stress resistance. The findings demonstrate that increased tolerance to lignocellulosic spruce hydrolysate is achieved through multiple complex proteome adjustments. The identified cellular adjustments indicate a cell level prioritisation towards detoxification of stress-inducing compounds, as well as uptake and utilisation of metabolic substrates. This thesis demonstrated that proteomics can be used as a functional screening tool to characterise promising adaptive variants.
BRICK BY BRICK
(2026) Khan, Marilyn; Wigren, Elsa; Wendel Mueller, Emma; Ellwein, Anna
The project site is a small primary healthcare clinic located in Melusi, an informal settlement in Pretoria West, South Africa. Funded by the University of Pretoria, the clinic operates two days per week and provides general healthcare services including family planning and maternal health. Supported by fieldworkers, caretakers, and one doctor, the clinic serves approximately 25–35 patients per day and plays an important role in the local community. For many residents, alternative healthcare facilities are located too far away and require transportation costs, making the clinic an essential and accessible healthcare resource. During the rainy season, large parts of the clinic grounds become muddy and difficult to navigate, limiting access for both patients and staff. In response, a small-scale paving prototype was developed through a process of co-design and co-building with local stakeholders. Workshops, site observations, and continuous discussions with clinic users informed the design and helped identify priority areas for improvement. Following a frugal design approach, the intervention was constructed using low-cost, locally available, and reused paving materials to improve accessibility, safety, and functionality. Rather than being a finished solution, the paving intervention is intended as a prototype and a starting point for future development. Designed to be easily extended and adapted, it aims to support long-term community ownership and inspire further improvements to the clinic environment. The project demonstrates how small, collaborative interventions can create meaningful local impact while contributing to broader discussions on health, sustainability, and community-led development.
Cadence and Stride Length Measurement Using a Foot-Mounted IMU
(2026) Bromander, Gustav; Carlsson, Anton; Ellerstedt, Melker; Månsson Lundberg, William; Stenson, Olle; Svensson, Aron
The purpose of this project was to develop a prototype for measuring cadence (step frequency) and stride length directly from the foot, enabling the collected data to be visualized and presented to the user in a mobile application. These metrics are relevant because they can provide runners with insight into their running technique and help users identify patterns that may contribute to more efficient training. Two different prototypes were developed and evaluated. The first prototype was a lace-mounted design using an Inertial Measurement Unit (IMU)-based step detection algorithm. The second prototype was a sole-based prototype, where the IMU was placed in a cutout on the insole and pressure sensors were used for step detection. For stride length estimation, both systems employed an Extended Kalman Filter (EKF) on the IMU data. The systems communicated with a mobile application via Bluetooth Low Energy (BLE), enabling the collected data to be presented to the user in a graphical interface. The results showed that both designs performed similarly in terms of step detection, achieving more accurate measurements during running and jogging compared to walking. However, regarding stride length estimation, the sole-based prototype outperformed the lace-mounted prototype across all tests, achieving Mean Absolute Relative Error (MARE) values between 5.57% and 15.15%, compared to 27.57% to 35.32%. Overall, the results indicated that the sole-based prototype provides more reliable performance than the lace-mounted prototype. However, this came with a trade-off between usability and performance, which was a recurring challenge throughout the project. The developed prototypes demonstrated the potential of foot-mounted sensing as an alternative to smartwatch-based measurements and highlighted promising opportunities for future development in running analysis applications.
Beyond the Data Center: Distributed Computing on a Raspberry Pi 5 Cluster
(2026) Borg, Livia; Burman, Emil; Forsberg, Axel; Fredriksson, Mathias; Tiberg, Emily; Westman, Filip
Distributed computing clusters are commonly used to provide scalable computation and large memory capacity for demanding workloads. In recent years, single-board computers have become increasingly capable and power-efficient, making them an attractive low-cost alternative for building small-scale distributed systems. How ever, creating such clusters in a way that is scalable, practical, and user-friendly remains challenging due to limited hardware resources and the need for lightweight management and monitoring solutions. This thesis investigates how a distributed computing cluster built from single-board computers can be made practical through lightweight orchestration and purpose-built observability tooling. A central contribution is a custom telemetry system designed for resource-constrained nodes, where existing monitoring solutions impose unnecessary I/O on storage-limited hardware and offer limited control over which metrics are collected and how frequently they are reported. The system collects, transmits and visualizes hardware and performance metrics in real time through a custom web based interface while imposing no measurable impact on workload performance. To evaluate the system, a Raspberry Pi 5 cluster was constructed using Kubernetes for orchestration. Three workloads were deployed to stress different dimensions of the cluster: matrix multiplication for parallel compute throughput, distributed pass word recovery for CPU-intensive data parallelism, and split large language model inference for distributed memory capacity. The results show that the cluster achieved significant performance improvements compared to single-node execution, particularly for highly parallelizable workloads. The system also demonstrated good power efficiency and highlighted the advantages of distributed memory for running larger LLMs. However, the limited computational performance of individual Raspberry Pi nodes means that many devices are required to approach the performance of a conventional high-performance machine. Overall, the work demonstrates that single-board computer clusters can provide a flexible and energy-efficient platform for distributed computing, especially when combined with lightweight orchestration and observability tools.