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- PostErgonomiskt monteringsverktyg för arbete i renrum(2024) Berghel, Magnus; Lindh, Agust; Pedersen, Elias; Steén, Jakob; Östman, Rasmus; Chalmers tekniska högskola / Institutionen för industri- och materialvetenskap; Chalmers University of Technology / Department of Industrial and Materials Science; Bligård, Lars-Ola; Heinerud, JohanThe following report describes the results of a product development project commissioned by Metenova AB. The project’s goal was to create an assembly solution that improves the installation and removal of drive units on mixing tanks in cleanrooms, with a focus on ergonomics and efficiency. To identify user needs and requirements for the product, a preliminary study was conducted, including interviews, observations and information gathering. Using ergonomic analyses and methods for idea generation, concept development, and concept selection, a final concept was developed that meets the identified needs and requirements. The result is a mounting tool which is used in conjunction with a lift table. The product facilitates the mounting of the drive unit onto the mixing tank by maintaining the drive unit at the correct angle and height while allowing rotation to align the drive unit mounting holes with the tank plate. The product consists of an adapter mounted on the drive unit and a lift tablemounted structure with an axle to which the adapter is attached. The mounting tool is expected to reduce work-related injuries and required man-hours during installation, making it a valuable product for Metenova and their customers.
- PostVolvo 2040: Framtidens kylsystem har aldrig varit Coolare(2024) Asal, Josef; Ekblad, Matilda; Feldt, Axel; Svärd, Maja; Wallenfeldt, Victoria; Walter, Jacob; Chalmers tekniska högskola / Institutionen för industri- och materialvetenskap; Chalmers University of Technology / Department of Industrial and Materials Science; Bligård, Lars-Ola; Eriksson, SiwA major challenge for the company of Volvo Group is the evolving technology, as well as remaining relevant inrelation to their competitors’ progress and their customers’ increasing expectations. As of now more and more new competitors are posing a challenge that Volvo Group previously didn’t have to consider. As a result of this, Volvo Group is expressing a desire to widen their market to stay at the forefront and meet both current and future customers’ demands. The purpose of the project is to explore new areas where Volvo Group can enhance its competitiveness by creating innovative and sustainable solutions relevant to the year 2040. Volvo Group mainly sought after a solution that has a direct link to their current business, but at the same time isn’t a further developed version of something they already offer. The purpose is to explore new areas where Volvo Group can strengthen its competitiveness by developing innovative and sustainable concepts relevant to the year 2040. Based on the performed research, it was apparent that within cold chain transportation there’s a lot of waste, and there are possibilities within this field for Volvo Group to expand. The final concept that was created is an integrated cooling system in the truck which is able to control the temperature in both the cab and the trailer. Instead of having a system which controls the cab’s temperature, and another, external, system that controls the temperature of the trailer they’re merged as one. The energy source for the system would be the trucks’ own battery instead of a diesel engine (which is currently in use). Additionally, the system is more lightweight than the current systems which makes it cheaper for the customer in the long run. This concept isn’t fully developed, and would need more development before Volvo Group would be able to offer it as a part of their product.
- PostFramtidens digitala instrumentkluster(2024) Drangel, Ludvig; Fredriksson, Linus; Hammarström, Otto; Steinhausen, Anton; Årenberg, Carl; Chalmers tekniska högskola / Institutionen för industri- och materialvetenskap; Chalmers University of Technology / Department of Industrial and Materials Science; Lars-Ola , Bligård; Tuveson, JonasDriving a truck is a profession that demands a lot from the driver. The vehicle must be driven safely, schedules must be adhered to, and routes must be planned to make all deliveries on time while minimizing fuel consumption. The instrument cluster in the truck should function as an additional tool to assist the driver in performing their tasks while not diverting any focus from the road. The development of the instrument cluster has progressed rapidly from analog to digital, and Volvo Trucks wants to examine how truck drivers feel about this. Through interviews, user studies, and literature reviews, truck drivers' opinions, needs, requirements, and desires regarding the instrument cluster were mapped out. It was found that usability could be improved as interaction is sometimes perceived as complicated. This resulted in a final concept with a redesigned layout, better cues, and an instruction guide when starting the truck. All this to facilitate navigation in the instrument cluster to find the information that the truck driver needs to perform various tasks. To further develop the concept, more data collection and concept development are important. Since being a truck driver is a profession that will continue to be very important in the future, ongoing research in this area is of the utmost importance.
- PostEnhancing quality assurance by automating manual work with AI and Machine Learning(2024) Man, Gavin; Sundberg , Arvid; Chalmers tekniska högskola / Institutionen för industri- och materialvetenskap; Chalmers University of Technology / Department of Industrial and Materials Science; Hammersberg, PeterThe rapid advancement in technology, drives towards modernization and automation which gives opportunities for all engineers. This thesis researches the potential of using Machine Learning (ML) and Artificial Intelligence (AI) to automate the manual work in a production line. This is a collaboration between Chalmers University of Technology and Volvo Cars. The focus has been on the borging process at Volvo Cars, a critical quality assurance that involves manually inspecting and verifying the precision of screws in car assembly. The primary objective is to identify innovative cost-saving strategies and increase efficiency by integrating AI and ML into the production line while ensuring safety and maintaining high-quality standards. The automotive industry is continuously introducing new models, necessitating adjustments to the assembly processes to fit different parts and materials. Every new model and improved material goes through multiple testing and validation phases, which currently include a manual borging process. This manual process involves checking the screws using torque wrenches and visual inspections to ensure that they meet specified standards. Data from these checks is collected, stored, and compared against predefined values (PKI values). This thesis dives into the possibilities of automating or semi-automating the borging process to reduce manual work, lower costs, and improve production efficiency. The research methodology includes literature studies, data analysis, interviews with industry experts, and site visits to Volvo Cars production facilities. These activities provided a detailed understanding of the current process. Replacing manual work with AI in the production line will save the company labor costs, increase efficiency, and enhance safety for both cars and operators. This will result in more consistent outcomes by minimizing the human factor. Currently, multiple external workers are required to check all the screws on the cars in the production line. By replacing that with AI, the labor cost will be reduced massively. Python is the chosen tool to develop the program and research due to its adaptability for machine learning tasks and relevance for training ML models. Various ML techniques, including supervised and unsupervised learning, were explored to predict the status of screw tightening. The result of this research highlighted the benefits of using AI and ML in the assembly process. This thesis includes a final code that works on a smaller scale but is adjustable to all the different screws and stations in the production line. To maintain high safety when making predictions about the tightening process, a two-step verification method is implemented.
- PostDesign of a 3D-printed seafood analogue(2024) Johansson, Lisa; Olsson, Hedvig; Chalmers tekniska högskola / Institutionen för industri- och materialvetenskap; Chalmers University of Technology / Department of Industrial and Materials Science; Wallgren, Pontus; Wallgren, PontusThis collaborative project at RISE explores 3D-printed seafood analogues to meet the growing demand for sustainable meat alternatives, involving divisions from Agriculture and Food, Material and Surface Design, and Chalmers Technical University. The study focuses on gathering consumer perspectives through focus groups involving 35 individuals with varying levels of seafood consumption, as well as different levels of aversion to new food technologies (also known as food technology neophobia). Key findings highlight fish as the primary focus, with information needs, environmental knowledge, and sustainability influencing choices. Preferences for familiar preparations, nutrient parity, and clear labeling emerge as crucial. The subsequent ideation phase yielded a final design for a 3D printed seafood analogue, named Havsudden, which is a smaller sized triangular shaped vegan fish analogue. We hope that the final design proposal aligns with consumer demands. This report contributes insights into understanding consumer attitudes, needs, and barriers for innovative, consumer-centric food products. In conclusion, “Havsudden” is a product that aims to reshape perceptions and acceptance within the seafood analogue market. Through its evolution, it gives diverse options for consumers, and is poised to pave the way for a future where seafood alternatives are embraced and celebrated.