ETH ZurichAcronym | ETHZ | Homepage | http://www.ethz.ch/ | Country | Switzerland | ZIP, City | | Address | | Phone | | Type | Academy | Current organization | ETH Zurich | Child organizations | | Members | | Memberships | | Partners | |
Open OpportunitiesGears 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
| Factors driving uptake of renewable energy systems in Swiss households - Mathematics, Statistics
- Course Project, Internship, Lab Practice, Master Thesis, Semester Project
| Diaxxo (diaxxo.com) is a start-up originated at ETH Zürich, where in the past 4 years we have
developed and prototyped an innovative Point-of-Care Polymerase Chain Reaction (PCR) device. Our
vision is to bring the power of molecular diagnostics to every doctor’s office, thanks to our new
pre-loaded PCR test kits that allow for simpler and faster sample preparation steps. In 2020 our
devices have been used by more than 250 laypeople for the rapid detection of COVID-19 in a field
study that we run at ETH Zürich, and our systems are currently being tested at the Swiss Tropical and
Public Health Institute (Swiss TPH). - Biology
- Bachelor Thesis, Master Thesis, Semester Project
| Diaxxo (diaxxo.com) is a start-up originated at ETH Zürich, where in the past 4 years we have
developed and prototyped an innovative Point-of-Care Polymerase Chain Reaction (PCR) device. Our
vision is to bring the power of molecular diagnostics to every doctor’s office, thanks to our new
pre-loaded PCR test kits that allow for simpler and faster sample preparation steps. In 2020 our
devices have been used by more than 250 laypeople for the rapid detection of COVID-19 in a field
study that we run at ETH Zürich, and our systems are currently being tested at the Swiss Tropical and
Public Health Institute (Swiss TPH). - Engineering and Technology
- Master Thesis, Semester Project, Student Assistant / HiWi
| Following trauma or due to degeneration it can be necessary to replace one or more intervertebral discs with an implant, a so-called Total Disc Replacement (TDR). Such devices enable motion though surfaces articulating against each other. While this treatment is clinically successful, it is connected to considerable complication and reoperation rates. Therefore, we are optimizing the design of such an implant to address these issues.
While many different designs and design types have been proposed and are used in clinical practice, there is no consensus on what design or design type is the most beneficial. However, it is hypothesized, that replicating the situation that is present in healthy (asymptomatic) subjects as closely as possible, is optimal. Since the motions of the cervical spine are coupled (coupling of rotation and translation as well as multiple rotations) the optimal design of the articulating surfaces is not obvious. Therefore, this master’s thesis project aims at designing the implants articulating surfaces using parametric design optimization in LS-OPT based on finite element simulations. - Engineering and Technology
- Master Thesis
| The focus of this project is on the fabrication of microelectrodes for advanced neural interfaces in a cutting-edge cleanroom environment. Our research aims to develop high-resolution neural probes utilizing state-of-the-art microfabrication techniques. - Biomedical Engineering, Biosensor Technologies, Mechanical Engineering, Nanotechnology
- Master Thesis, Semester Project
| This project focuses on the design of low-noise, low-power, compact amplifiers for next-generation neural interfaces. - Electrical and Electronic Engineering
- Master Thesis, Semester Project
| Time-series data is increasingly prevalent across various domains, including finance, healthcare, and environmental monitoring. The ability to extract meaningful information from time-series data is crucial for prediction, classification, and anomaly detection. This project focuses on exploring different time-series representations and their impact on machine learning tasks. - Artificial Intelligence and Signal and Image Processing
- 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
| Roundwood is sorted by quality and species in the forestry (and in sawmills). Based on the dataset with images of roundwood (from partner sawmill³) containing quality and species labels, a classification model has been developed for predicting the species and the quality of a stem based on the image of its cross-section. The detailed description of the model architecture and the results can be found in the paper: https://www.sciencedirect.com/science/article/pii/S0957417423036217. The task of the project is to
develop an iOS or Android App that based on the model results.
- Information, Computing and Communication Sciences
- Bachelor Thesis, Lab Practice, Master Thesis, Semester Project
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