Optimisation methods applied to the distribution of rotor blades in a turbofan engine

Abstract

The primary aim of this research is to enhance the distribution of rotor blades in a turbofan engine to achieve superior static balancing. To this end, an advanced optimisation method is proposed to ensure that the mass imbalance correction stays within the allowed tolerance limits, even after the rotor blades' positions are altered during maintenance activities. This proposed method leverages a genetic algorithm that is refined through the integration of various optimisation techniques. The use of MATLAB® code plays a crucial role in this process, providing the computational power and flexibility needed to implement and test the optimisation algorithm effectively. In practical terms, the method involves adjusting the positions of the rotor blades to minimise the static imbalance, which can significantly impact the performance and longevity of the engine. By maintaining the mass correction within specified tolerances, the engine can operate more smoothly and efficiently, reducing wear and tear and potentially extending its operational lifespan. The integration of MATLAB® allows for precise calculations and simulations, ensuring that the proposed adjustments are both feasible and effective in real-world scenarios. This approach not only improves the immediate balance of the rotor but also ensures that the balance is maintained over time, even with the positional changes that occur during routine maintenance