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 OpportunitiesDirect Air Capture (DAC) of carbon dioxide (CO2) is a promising technology to combat climate change by removing CO2 directly from the atmosphere. One approach to DAC involves the accelerated weathering of calcium hydroxide (Ca(OH)2), a process where CO2 exothermically reacts with Ca(OH)2 to form calcium carbonate (CaCO3) and water. A two-step regeneration allows for a cyclic process. In the first regeneration step, CaCO3 is sent into a high-temperature reactor. Inside this reactor, the CaCO3 decomposes into calcium oxide (CaO) and CO2 at temperatures near 900 ÂșC at atmospheric conditions. The calcium oxide is then hydrated in the second stage to form Ca(OH)2. The hydration reaction is exothermic and presents a suitable opportunity for heat recovery. The resulting Ca(OH)2 is newly used as the sorbent material in the capture step.
Understanding the behavior and sensitivity of this process to key operating conditions is crucial for optimizing its performance and energy efficiency. Moreover, the influence of water on the porous calcium oxide (CaO) sorbent material for CO2 adsorption represents a crucial aspect of process optimization.
- Process Control and Simulation
- ETH Zurich (ETHZ), Master Thesis
| In this project, you will investigate the use of event-based cameras for vision-based landing on celestial bodies such as Mars or the Moon. - Engineering and Technology
- Master Thesis, Semester Project
| The Swiss watch industry focuses on perfectioning their capabilities since its beginnings. The use of printable, protective elements during surface finishing processes would allow for a new level of resolution and complexity. Nevertheless, currently used materials are not printable due to their high viscosity and are often hard to remove. We therefore are developing a printable polymeric coating that allows for traceless removal with water. - Chemical Engineering, Colloid and Surface Chemistry, Industrial Chemistry, Macromolecular Chemistry, Manufacturing Engineering, Mechanical Engineering, Polymers
- Bachelor Thesis, ETH Zurich (ETHZ), Master Thesis, Semester Project
| Despite the growing amount of work on applying causal discovery method with expert knowledge to areas of interest, few of them inspect the uncertainty of expert knowledge (what if the expert goes wrong?). This is highly important since that in scientific fields, causal discovery with expert knowledge should be cautious and an approach taking expert uncertainty into account will be more robust to potential bias induced by individuals. Therefore, we aim to develop an iterative causal discovery method with experts in the loop to enable continual interaction and calibration between experts and data.
Based on the qualifications of the candidates, we can arrange a subsidy/allowance for covering traveling or living costs. - Expert Systems, Health Information Systems (incl. Surveillance), Statistics
- Internship, Master Thesis, Semester Project
| This project focuses on developing an explainable Artificial Intelligence (xAI) framework based on graphical modeling (GM), to enhance the capacity and capability of medical AI. Collaborating with the Swiss Paraplegic Centre (SPZ) for validation, our goal is to improve the long-term prognosis of spinal cord injury (SCI) individuals. Through medical records and a multimodal sensory monitoring system, we aim to create digital twins capable of integrating diverse data sources, guiding medical treatment, and addressing common secondary health conditions in the SCI population. The envisioned GM-based digital twin (GMDT) will represent hierarchical relations across demographic features, functional abilities, daily activities, and health conditions for SCI individuals, allowing for downstream tasks such as prediction, causal inference, and counterfactual reasoning. The assimilation and evolution between the physical and digital twins will be implemented under the GM framework, promising advancements in personalized healthcare strategies and improved outcomes for SCI people. Please refer to the attached document for more details about the task description. Based on the candidate's qualifications, funding/allowance can be provided. - Biomedical Engineering, Digital Systems, Knowledge Representation and Machine Learning, Pattern Recognition, Simulation and Modelling
- ETH Zurich (ETHZ), Internship, 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
| 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. - 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. - Mechanical Engineering
- ETH Zurich (ETHZ), Master Thesis
| The goal of the project is to develop and test a smart sock prototype for plantar pressure measurements. The smart sock contains textile based pressure sensors and a readout module. This technology can be used for plantar pressure monitoring in diverse wearable applications ranging from healthcare to sports. - Biomedical Engineering, Medical and Health Sciences
- Master Thesis
| The goal of the project is to assess the feasibility of using commercially available plantar pressure monitoring devices (so called smart insoles) on the diabetic population. Pressure ulcers are a common complication of the diabetic foot, and monitoring plantar pressure continuously is a potential measure of prevention. Diabetic patients are often prescribed personalized footwear (e.g., curved insoles that accommodate any deformity in the feet). This project aims at assessing the potential of the smart insoles available on the market to monitor plantar pressure in diabetic patients with such custom footwear. - Biomedical Engineering, Medical and Health Sciences
- Bachelor Thesis, Semester Project
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