The principle aim of this project was to optimise the primary Impeller and Diffuser of the NeoVAD to improve Haemodynamic performance at the operating conditions.
For this project, optimisation for a 10 kg patient was targeted.
A secondary aim of the project was to create an automated workflow to make the optimisation process more efficient. This allowed the computational resources to be used at full capacity and with minimal manual interaction. It is also directly beneficial for future work conducted on blade optimisation.
Five parameters were selected to be optimised:
- Impeller inlet angle (β1)
- Impeller outlet angle (β2)
- Diffuser inlet angle (α2)
- Impeller length (L1)
- Diffuser length (L2)
Note that the Diffuser outlet angle was fixed to be zero.
Project Objectives:
- Generate a model of the pump impeller and diffuser
- Simulate the model under the relevant flow conditions
- Use a Design of Experiments (DoE) to determine parameter variations
- Create methods to automate geometry creation, meshing, and simulation
- Use Machine Learning to train a prediction model to facilitate optimisation
- Use a Genetic Algorithm as the optimisation method to determine the final geometry
- Implement a Haemolysis Index Model.
Master’s Dissertation | Summary | Aims and Objectives | Background | Literature Review | Methods | Results and Discussion | Conclusions | References