摘要
以矿用对旋式轴流通风机为研究对象,应用粒子群优化算法对其扩散器结构设计参数进行了优化。首先,应用实验设计方法研究了通风机扩散器结构设计参数与通风机全压及效率之间的关系。研究结果表明:随着扩散器芯筒尾部半径R1的增大,通风机全压会先降低而后增高;通风机全压随着扩散器出口截面半径R2的增大而减小,随扩散器长度L1的增大而增大。通风机效率随R1、L1的增大而增大,随R2的增大而减小,且L1对通风机效率的影响最为显著。然后,以通风机全压及效率为优化目标,以扩散器结构设计参数为设计变量,应用粒子群优化算法对其进行多目标优化。
Diffuser structure of mine contra--rotating axial fan was optimized by using parucle swarm optimization algorithm and three--dimensional flow analysis. Firstly, experimental design method was used to study the relationship among structure parameters of diffuser and the total--pres sure and efficiency of fan. The results show that the total--pressure of fan tendes to decrease firstly and then increase with increasing of diffuser core canister tail radius （R1）. The total--pressure increa- ses along with increasing of the diffuser outlet sectional radius （R2）, increases along with increasing of the diffuser length （L1）. The efficiency of fan is enhanced with increasing of Rl and L1 , and de- creased with increasing of R2. Diffuser length has most significant influence on the efficiency of fan. Then, with the structure parameters of diffuser as the variables, the total-pressure and the efficiency of fan as the objects, particle swarm optimization algorithm was used to solve this complex multi- obiective optimization problem.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2013年第3期386-391,共6页
China Mechanical Engineering
基金
国家自然科学基金资助项目(51075143)
湖南省产学研结合技术创新工程计划资助项目(2010XK6066)
湖南省自然科学省市联合基金资助重点项目(11JJ8005)
关键词
矿用对旋式通风机
扩散器结构
粒子群优化算法
流场分析
优化设计
mine contra--rotating axial fan
diffuser structure
particle swarm optimization algo-rithm
three-- dimensional flow analysis
optimization design
