煤矿安全2025，Vol.56Issue(7)：194-204,11.DOI:10.13347/j.cnki.mkaq.20241623
对旋风机双排叶片耦合多目标优化及特性分析
Multi-objective optimization and characteristic analysis of contra-rotating fan double-row blades coupling
摘要
Abstract
To enhance the aerodynamic performance of contra-rotating fan and ensure the safe working environment of mine,based on feedforward neural network agent model and genetic algorithm,the multi-objective optimization of contra-rotating fan double-row blades coupling is carried out.Initially,double-row blades of the contra-rotating fan are parameterized,with the installation angles of each blade's height span and the control parameters of the mean cambers selected as high-dimensional optimization vari-ables.Secondly,Latin hypercube sampling is conducted in the high-dimensional decision space to obtain the decision sample set,and the aerodynamic sample set corresponding to the decision sample set is solved through numerical simulation.The sample set data is used to construct a neural network surrogate model,and the weights and thresholds of the neural network are optimized in combina-tion with the genetic algorithm to improve the generalization ability of the surrogate model.The optimization objectives focus on maximizing total pressure efficiency of contra-rotating fan at low,design and high flow rates,with genetic algorithm used for global optimization to output the Pareto optimal solution set,the optimal geometric parameter combinations that maximize total pressure ef-ficiency across all operating conditions are then determined,leading to the optimized contra-rotating fan model;the optimization res-ults are verified by numerical simulation,and the aerodynamic performance and flow field distribution of the contra-rotating fan be-fore and after optimization are compared.The results indicate that the overall pressure efficiency of contra-rotating fan has improved by 0.59%,0.88%and 1.21%under low,design and high mass flow rates,respectively,significantly broadening the range of stable operating conditions;after optimization,the increase of the first-stage blade installation angle can improve the flow stability while causing partial energy loss,and the decrease of the second-stage blade installation angle can increase the blade's work ability and im-prove the impeller's aerodynamic efficiency;the range and entropy of the high entropy area near the tip of the two-stage blade are re-duced,the flow separation and wake loss are weakened,the relative velocity distribution of the tip section is improved,and the adapt-ability of contra-rotating fan to the change of mass flow rate is enhanced.关键词
对旋风机/参数化建模/神经网络/遗传算法/多目标优化Key words
contra-rotating fan/parametric modeling/neural network/genetic algorithm/multi-objective optimization分类
矿业与冶金引用本文复制引用
张昕雨,姜华,宫武旗..对旋风机双排叶片耦合多目标优化及特性分析[J].煤矿安全,2025,56(7):194-204,11.基金项目
国家自然科学基金资助项目(52474252) （52474252）
