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作 者:王艳冰 项松[1,2] 刘远强 赵为平[1] WANG Yan-bing;XIANG Song;LIU Yuan-qiang;ZHAO Wei-ping(l.Key Laboratory of General Aviation,Shenyang Aerospace University,Liaoning Shenyang 110136,China;Liaoning General Aviation Academy,Liaoning Shenyang 110136,China)
机构地区:[1]沈阳航空航天大学通用航空重点实验室,辽宁沈阳110136 [2]辽宁通用航空研究院,辽宁沈阳110136
出 处:《机械设计与制造》2023年第4期176-181,共6页Machinery Design & Manufacture
基 金:辽宁省自然科学基金指导计划(20180550824)。
摘 要:为了扩展某型电动飞机螺旋桨优化设计的工程应用范围,在多种工况下RAF-6翼型优化设计的基础上,考虑到翼型本身结构的优化及径向分布,对螺旋桨进行重构优化设计研究。根据某型电动飞机的低空飞行条件,提出了集CST参数化、气动力计算和NLPQL优化算法为一体的快速翼型优化设计方法,优化了RAF-6翼型特殊工况的升阻特性,将优化后的翼型按照原螺旋桨的弦长和桨叶角等数据对螺旋桨进行8个剖面的重构建模,采用K-εRNG湍流模型求解雷诺平均方程的多重参考坐标系模型,与原始螺旋桨气动试验数据加以对比验证。结果表明:优化翼型的升力系数和升阻比提升明显,具备更优异的气动特性;重构优化的改进型螺旋桨最大效率为81.40%,最大拉力提升12.66%,更好满足电动飞机的飞行需求,有效引导工程优化设计思想。In order to expand the engineering application range of the optimized design of an electric aircraft propeller,based on the optimized design of the RAF-6 airfoil under specific working conditions,and considering the structural optimization and radial distribution of the aiifoil itself,carried out research on the optimization design of the propeller reconstruction.According to the low-altitude flight conditions of an electric aircraft,a rapid airfoil optimization design method integrating CST parameterization,aerodynamic calculation and NLPQL optimization algorithm is proposed,and the lift-drag characteristics of the RAF-6 airfoil under special conditions are optimized.The optimized airfoil modeled the reconstruction of the eight sections of the propeller according to the original propeller chord length and blade angle data.The K-e RNG turbulence model was used to solve the multiple reference coordinate system model of the Reynolds average equation,and was compared with the original propeller aerodynamic test data.The results show that the lift coefficient and lift-to-drag ratio of the optimized airfoil are significantly improved,and it has more excellent aerodynamic characteristics;the refactored and optimized improved propeller has a maximum efficiency of 81.40%and a maximum thrust of 12.66%,which better meets the flight requirements of electric aircraft it effectively guide the engineering design optimization.
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