摘要
在同一偏转角度下,随着喷管压比的增大,推力系数先减后增再减小,而矢量角先增大再减小;在相同喷管压比下,矢量角与喷管偏转角呈线性关系。利用数值计算结果和人工神经网络,建立该轴对称矢量喷管的性能预测模型,喷管性能预测结果与计算值吻合较好,从而验证了该模型的有效性,为减少计算和试验点数节省经费和时间提供了有效的途径。
At the same deflective angle ,with the pressure ratio i-ncrease,the thrust coefficient was reduced at tint,then increased,and redu-cedlast,otherwise,deflective angle was increased at first,then reduced;at the same nozzle pressure ratio,deflective angle and thrust deflective angle w-ere on linear relation. Based on several numerical simulated data and the artificial neural net work,the performance model for axisymmetric vectoring nozzle was constructed. The forecasted data showed good accordance with numerical calculation results. The validity of the model is also testified. The work can be used to reduce the flight test cost and time.
出处
《机械设计与制造》
北大核心
2008年第9期146-148,共3页
Machinery Design & Manufacture
基金
装备预先研究项目(61901080201)
关键词
轴对称矢量喷管
矢量角
推力系数
数值模拟
人工神经网络
Axisymmetric vectoring nozzle
Thrust deflective angle
Thrust coefficient
Nnumerical simulation
Artificial neural network
