Study On Fan Blade Arrangement Optimization Of Civil Aviation Engine

Nowadays,with the development and progress of science and technology,aero-engines are developing towards high speed,high power,slender shaft and other trends,which leads to the phenomenon of wear and vibration caused by the unbalanced rotor become an important problem affecting the normal operation of aero-engines.Therefore,rotor balance has become one of the most important problems in the field of aviation safety.The unbalance caused by different arrangement of engine fan blades is one of the important causes of rotor unbalance.The purpose of this study is to provide an optimized solution for airlines and maintenance manufacturers in the assembly process of fan blades and the determination of subsequent dynamic balancing schemes,so as to reduce the accident rate and operating costs of airlines and maintenance manufacturers.At first,this paper makes clear the research background and purpose of the subject.According to the current development of the aviation industry and the existing problems and actual needs of airlines and their maintenance manufacturers,this paper puts forward the research problem: the optimization study on the arrangement of fan blades of civil aviation engines,and explains the necessity of the subject.Then,according to the actual distribution of the mass moment of the fan blades,the sorting optimization of the fan blades is considered.Considering the unbalance of fan blade in radial direction,axial direction and tangential direction,the multi-objective optimization method is adopted to solve the multi-objective optimization problem,and the multi-objective optimization problem is transformed into a three-time single-objective problem.On the algorithm research,this paper summarized analysis on the advantages and disadvantages of the partial exhaustion iteration method,and according to the characteristics to improve the computing speed slower,puts forward the improved method of partial exhaustion iteration method,by exhaustive method and blade data of normal distribution as the theoretical basis,the algorithm is simple and convenient,and solving speed,high precision,has practical application value.Finally,a fan blade sorting optimization system is developed and implemented.The improved local exhaustive iteration method and genetic algorithm were used to optimize blade sequencing,and the results were verified by numerical calculation and modal analysis.Through comparative analysis,it can be seen that the improved local exhaustive iteration method has a fast calculation speed and high accuracy and stability in fan blade sequencing optimization.To sum up,the optimized arrangement of blades according to the mass moment distribution of fan blades studied in this paper can obtain certain precision results in a short time,which has good reference value and application prospect.