Computational Fluid Dynamics (CFD) is an important tool in predicting fluid behavior in complex systems, such as combustion chambers, jet engines, and turbomachinery. Despite its widespread use, CFD simulations can be computationally expensive, time-consuming, and require significant computational resources. Artificial Intelligence (AI) has the potential to address some of the limitations of CFD simulations by improving the accuracy and efficiency of simulations. The purpose of this thesis is to investigate the integration of AI techniques into CFD simulations for improved prediction of fluid dynamics in complex systems.
The objectives of this research are:
- To review the current state-of-the-art in AI techniques for improving CFD simulations and identify the most promising AI techniques that can be integrated into CFD simulations.
- To develop an AI-assisted CFD simulation framework and evaluate its accuracy and computational efficiency compared to traditional CFD simulations. The outcomes of this research will provide valuable insights into the integration of AI techniques into CFD simulations and their potential to improve fluid dynamics prediction.
Requirements:
- Knowledge in fluid dynamics
- Knowledge of CFD software and programming
- Interest in the Artificial Intelligence (AI)
- Good English skills
Further Information:
- Immediate start
Interested?