Institute of Machine Tools and ManufacturingOpen OpportunitiesDer Stirlingmotor ist eine vielversprechende Technologie für umweltfreundliche Kühlsysteme, die sich durch ihre Effizienz und geringe Umweltbelastung auszeichnet. Ein kritisches Bauteil dieses Motors ist der Ventilmechanismus, der die Leistung massgeblich beeinflusst. Diese Arbeit zielt darauf ab, optimale Ventile für eine rechtwinklige Kolbengeometrie mit einem langen Schlitz, der sowohl als Einlass- als auch Auslassöffnung dient, zu bewerten und zu konstruieren. Das Projekt konzentriert sich auf die Verbesserung der Effizienz und Funktionalität des Stirlingmotors, der in nachhaltiger Kühltechnologie eingesetzt wird. - Manufacturing Engineering, Mechanical Engineering
- Bachelor Thesis, Semester Project
| In the manufacturing industry, determining the optimal process parameters is crucial for enhancing efficiency and quality. A vast amount of unstructured data exists in books, academic and industrial publications, and various measurement datasets. Artificial intelligence systems, particularly those us-ing large language models (LLMs), offer promising solutions to integrate and utilize these diverse data sources effectively without human input. - Manufacturing Engineering
- Master Thesis, Semester Project
| Recent development allows for navigating a virtual environment by real walking, thanks to the SLAM technology, which localizes a user’s position and builds a map on the fly. For doing so, this technology relies on visible static features in the tracking space, while other users are filtered out and not considered for positional tracking. Hence, the system presumes that each user can track his position individually. However, far very large tracking spaces these visible features might be too far away. To overcome this problem, a daisy-chaining of
tracking information of users was developed, were only one observed user needs an absolute reference. - Computer-Human Interaction
- Bachelor Thesis, ETH Zurich (ETHZ)
| Machining technology plays a crucial role in manufacturing, particularly in the processing of lead-free brass. Indexable inserts made from carbide and ceramic are essential components in machining, and their geometry significantly influences the efficiency and quality of the ma-chining process. Innovative methods for modifying cutting edge radii offer potential for opti-mizing machining processes. Understanding the impact of these geometric parameters on the coefficient of friction can lead to significant improvements in process stability and tool life. - Manufacturing Engineering, Mechanical and Industrial Engineering
- Bachelor Thesis, ETH Zurich (ETHZ), Master Thesis
| Cutting-edge tools play a pivotal role in manufacturing processes, enduring wear and damage while consistently producing series of components. Maintaining an optimal cutting-edge geometry is crucial to uphold the quality of finished products over time. Additionally, sustaining the micro-geometry of the cutting edge is key to enhancing the lifespan of the tool and ensuring top-notch cutting performance. Profin addresses this challenge with Flakkotting, a novel surface finishing process designed explicitly to create and preserve the required micro-geometry.
This project aims to investigate the brittle interaction of the flakkotting tool with the cutting-edge workpiece through experiments manipulating various machine parameters. Interactions will be recorded using a high-speed camera, and the footage will be analyzed with advanced computer vision techniques to extract key bristle characteristics and variables such as length, deflection, and speed. These variables will form the basis for calculating forces, determining bristle-tool contact, assessing total contact time, and understanding the mechanisms of bristle interaction. The insights gained will contribute to developing analytical or data-driven models that optimize the flakkotting process. - Computer Vision, Manufacturing Engineering, Mechanical Engineering
- Bachelor Thesis, Internship, Master Thesis, Semester Project
| Cutting-edge tools play a pivotal role in manufacturing processes, enduring wear and damage while consistently producing series of components. Maintaining an optimal cutting-edge geometry is crucial to uphold the quality of finished products over time. Additionally, sustaining the micro-geometry of the cutting edge is key to enhancing the lifespan of the tool and ensuring top-notch cutting performance. Profin addresses this challenge with Flakkotting, a novel surface finishing process designed explicitly to create and preserve the required micro-geometry.
The aim of this thesis is to develop the understanding of Flakkotting process and develop prediction model for process parameters for a given micro-geometry. The dynamics of flakkotting tools on Tungsten Carbide drills and cutting-edge inserts will be studied with varying parameters using high-speed imaging and microscopic analysis. Using the parameter data and evaluated workpieces, machine learning (ML) models will be developed for prediction of micro-geometry features and optimization of process based on the required micro-geometry. - Computer Vision, Image Processing, Manufacturing Engineering, Mechanical Engineering, Pattern Recognition, Statistics
- Bachelor Thesis, Internship, Master Thesis
| This Master's thesis focuses on the experimental determination of material properties for Ti6Al4V, essential for the numerical simulation of machining processes. The work involves preparing various samples, conducting flow curve tests, damage behavior analyses, and anisotropy assessments. Additionally, EBSD analysis, hardness measurements, and potentially chemical analyses will be performed. The results will be used to validate machining simulations using SPH/FEM, comparing process forces and chip formation. - Manufacturing Engineering, Mechanical and Industrial Engineering
- ETH Zurich (ETHZ), Master Thesis
| This Master's thesis focuses on the experimental determination of material properties for stainless steel, essential for the numerical simulation of machining processes. The work involves preparing various samples, conducting flow curve tests, damage behavior analyses, and anisotropy assessments. Additionally, EBSD analysis, hardness measurements, and potentially chemical analyses will be performed. The results will be used to validate machining simulations using SPH/FEM, comparing process forces and chip formation. - Manufacturing Engineering, Mechanical and Industrial Engineering
- ETH Zurich (ETHZ), Master Thesis
| Gears are the backbone of the aircraft transmission systems, facilitating critical power transfer and speed adjustments for various components. Their flawless operation is the key to the seamless flight of lightning-fast fighter jets, commercial airliners, and agile helicopters.
As the demand for precise, robust, and dependable gears continues to rise, addressing production bottlenecks becomes increasingly crucial in meeting aviation's evolving needs. A significant contributor to these bottlenecks is the grinding operation, the final step in production. In the pursuit of achieving higher production efficiency by pushing the limits of process parameters, grinding burns often appear on the workpiece surface. These grinding burns are undesirable. They occur due to excess heat accumulation which impacts residual stresses and metallurgical structures, potentially leading to component cracks and failures. The rejection of such workpieces wastes time and resources, ultimately diminishing production efficiency.
The primary focus of this thesis is the early detection of grinding burns within the manufacturing process, achieved through the utilization of acoustic emission and current sensors in combination with critical process parameters. A mathematical model will be developed based on machine learning modeling techniques combining the sensors data, process parameters and evaluated surface quality. The objectives are prediction of grinding burn, and subsequently, optimization of the grinding process for higher productivity. - Interdisciplinary Engineering, Mechanical Engineering, Signal Processing, Statistics
- Bachelor Thesis, Internship, Master Thesis, Semester Project
| Walking has been proven to create the best sense of presence while exploring virtual environments. However, walking in virtual environments comes with the constraint that the virtual and the physical space must have the same dimensions. This limitation restricts the size of the virtual spaces. Various techniques have been developed to overcome this issue, such as RDW and impossible spaces. Although significant progress has been made with these methods, exploring large virtual environments can still lead the user to reach the boundaries of the physical space. Therefore, a safety mechanism is needed to prevent the user from colliding with the walls. The most popular safety mechanism is having resets, which are messages displayed to the user asking them to stop and perform a certain action that turns them away from the wall before continuing the exploration. However, resets reduce immersion and thus should be avoided as much as possible. - Computer-Human Interaction
- Bachelor Thesis, ETH Zurich (ETHZ), Semester Project
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