Data-driven selection and sequence optimization of aero-engine rotor blades based on LLM-guided simulated annealing algorithm

Key Points

• Optimization of rotor blades enhances performance in aero-engine designs, promoting efficiency and reliability.
• Key metrics indicate significant performance improvements through data-driven approaches in blade design.
• Analysis utilizes a simulated annealing algorithm to optimize rotor blade sequences effectively.
• Findings suggest the algorithm may enable advanced design strategies in aero-engine technology.