Department of Mechanical and Process EngineeringAcronym | D-MAVT | Homepage | http://www.mavt.ethz.ch/ | Country | Switzerland | ZIP, City | | Address | | Phone | | Type | Academy | Parent organization | ETH Zurich | Current organization | Department of Mechanical and Process Engineering | Child organizations | |
Open OpportunitiesThis project mainly focuses on the automation of the existing 5D bioprinter, optimizing the software for updated system use, and developing the print head for better complex 3D prints. This printer will be used for bioprinting applications. - Acoustics and Acoustical Devices; Waves, Automotive Engineering, Biomedical Engineering, Computer Hardware, Control Engineering, Electrical and Electronic Engineering, Mechanical Engineering, Printing Technology, Robotics and Mechatronics, Systems Theory and Control
- Bachelor Thesis, Master Thesis, Semester Project
| The Multi-Scale Robotics Lab develops novel actuation methods for endoscopic devices utilizing magnetic navigation systems (MNS). In MNS, an external magnetic field applies forces and torques on magnets attached to the endoscopes. To control these endoscopes, precise shape estimation techniques are required. Current methods try to estimate the endoscope’s shape by measuring the external field along the endoscope using hall-sensors. This method requires precise knowledge about the applied external field and often lacks in localization precision in certain directions.
- Electrical Engineering, Mechanical Engineering
- Master Thesis
| Bühler, a leading industry manufacturer in Uzwil, is partnering with ETH Zürich's Feasibility Lab to offer a unique master thesis opportunity. Throughout your thesis, you'll work hand-in-hand with a team of like-minded peers, following the principles of cross-functional teamwork and agile project planning. You can explore your interests in AI/Machine Learning, Robotics, UX, Additive Manufacturing, Food Science and more and actively define your own project scope. - Digital Systems, Environmental Technologies, Industrial Biotechnology and Food Sciences, Interdisciplinary Engineering, Manufacturing Engineering, Mechanical and Industrial Engineering
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| 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 and Industrial Engineering, Statistics
- Master Thesis, Semester Project
| Drying (e.g. Pasta drying) is the most energy intensive process step, sometimes taking up more than 50% of the total energy consumption of a plant. Superheated steam drying could present an energy efficient alternative to classical hot-air drying systems used today. This new technology could have a massive impact on the carbon-footprint and sustainability of food-drying; making it a highly future-oriented and potentially impactful innovation. - Interdisciplinary Engineering, Manufacturing Engineering, Mechanical and Industrial Engineering
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| Global Health Engineering is a group composed of environmental and mechanical engineers, economists and social scientists. Our work is transdisciplinary and all research focuses on engineering aspects of environmental and human health in resource-constrained countries. We look for a student research assistant to continue developing (hardware+software) the low-cost sensors for biogas composition and flow measurements, as well as program other tasks, e.g., web scraping for scientific grant management. - Electrical Engineering, Environmental Technologies, Mechanical Engineering
- ETH for Development (ETH4D) (ETHZ), Student Assistant / HiWi
| We currently want to (i) elaborate the added value of a campus board that records the forces per limb, (ii) determine grasping phases for kinematic analyses of the phalanges more pragmatically than with 6DoF sensors, and (iii) drive forward a competition analysis based purely on video material. - Biomedical Engineering, Human Movement and Sports Science
- Internship, Semester Project
| Reaching and grasping an object of interest is a relatively simple
task that can be achieved robustly in case the object is equipped
with a simple handle and a visual marker. However, often the difficulty in the task originates from the rest of the environment.
The object may be placed in cluttered spaces with diverse obstacles
as well as dynamic entities, e.g. humans, other robots. As a result,
executing the task of reaching and grasping the object necessitates
collision-free motion control capabilities. - Intelligent Robotics, Robotics and Mechatronics
- Master Thesis, Semester Project
| The process of evaluating sleep examinations and diagnosing sleep disorders through polysomnographies (PSGs) is labor-intensive as it requires manual analysis from sleep technicians and doctors. In collaboration with Clinic Barmelweid, a leading sleep and rehabilitation clinic in northwestern Switzerland, we plan to automate this process using machine learning models. Clinic Barmelweid conducts approximately 400-450 PSGs annually and has access to a dataset of more than 5,000 recordings. - Artificial Intelligence and Signal and Image Processing, Biomedical Engineering, Medical and Health Sciences
- Collaboration, ETH Zurich (ETHZ), 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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