Computational fluid dynamics is a powerful technique to simulate realistic flows in the aorta. In particular, we are interested in turbulent flows generated by abnormal aortic valve geometries. By combining state of the art turbulence models and simplified fluid-structure interaction models, the student will simulate pathological aortic flows in multiple aortic geometries. Pre-postprocessing is performed using Python while simulations are run using the opensource solver OpenFoam. Proficiency with Matlab or Python is required. Knowledge of fluid dynamics and CFD software is preferred but not required.
Computational fluid dynamics is a powerful technique to simulate realistic flows in the aorta. In particular, we are interested in turbulent flows generated by abnormal aortic valve geometries. By combining state of the art turbulence models and simplified fluid-structure interaction models, the student will simulate pathological aortic flows in multiple aortic geometries. Pre-postprocessing is performed using Python while simulations are run using the opensource solver OpenFoam. Proficiency with Matlab or Python is required. Knowledge of fluid dynamics and CFD software is preferred but not required.
The goal of this project is to generate realistic numerical models of the aorta and compute the corresponding blood flows. These models will be used to quantify various aortic parameters such as stenotic degree and aortic stiffness on relevant clinical structural/hemodynamic indicators such as pulse wave velocity (PWV) and turbulence production.
**Possible tasks:**
- Generation of realistic aortic shapes using principal component analysis (PCA)
- Preprocessing of computational models
- Simulation of blood flow using OpenFOAM
- Analysis of flow patterns and comparison between multiple geometries
**We expect you have**
- Ongoing master in Mechanical Engineering, Computer Sciences, Biomedical Engineering, or related fields
- Programming experience in either Python or Matlab
- An interest in computational models. Knowledge of fluid dynamics and/or CFD software is preferred but not required.
The goal of this project is to generate realistic numerical models of the aorta and compute the corresponding blood flows. These models will be used to quantify various aortic parameters such as stenotic degree and aortic stiffness on relevant clinical structural/hemodynamic indicators such as pulse wave velocity (PWV) and turbulence production.
**Possible tasks:**
- Generation of realistic aortic shapes using principal component analysis (PCA)
- Preprocessing of computational models
- Simulation of blood flow using OpenFOAM
- Analysis of flow patterns and comparison between multiple geometries
**We expect you have**
- Ongoing master in Mechanical Engineering, Computer Sciences, Biomedical Engineering, or related fields
- Programming experience in either Python or Matlab
- An interest in computational models. Knowledge of fluid dynamics and/or CFD software is preferred but not required.
Please contact Pietro Dirix (dirix@biomed.ee.ethz.ch) or Gloria Wolkerstorfer (wolkerstorfer@biomed.ee.ethz.ch) if you are interested in the topic. The project’s focus can be adjusted to the student’s interests and experiences. Interested students are welcome to send a CV and a transcript of records of the Masters. Supervising professor: Sebastian Kozerke (kozerke@biomed.ee.ethz.ch)
Please contact Pietro Dirix (dirix@biomed.ee.ethz.ch) or Gloria Wolkerstorfer (wolkerstorfer@biomed.ee.ethz.ch) if you are interested in the topic. The project’s focus can be adjusted to the student’s interests and experiences. Interested students are welcome to send a CV and a transcript of records of the Masters. Supervising professor: Sebastian Kozerke (kozerke@biomed.ee.ethz.ch)
