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机构地区:[1]重庆大学机械传动国家重点实验室,重庆400044
出 处:《东北大学学报(自然科学版)》2015年第9期1310-1315,共6页Journal of Northeastern University(Natural Science)
基 金:国家自然科学基金资助项目(51175526);国家高技术研究发展计划项目(2012AA051301)
摘 要:现有翼型表达大都基于控制点和初始成熟翼型,设计空间小因而不利于选出高性能翼型.基于Joukowski保角变换通用翼型形线表征形式,编程集成ICEM和FLUENT完成翼型生成、大变形网格重构、边界条件生成和流场解算,采用改进遗传算法进行高升阻比风力机翼型多学科联合设计.结果表明本平台设计的翼型在设计、非设计工况下以及主要攻角范围内有较高升力系数和升阻比.该型线集成表达和流场计算多学科设计方法,也为类似气动优化设计提供参考.Most of the airfoil representations do not have a large enough domain to select the optimal airfoil in that they mainly depend on control points and initial airfoils.Based on the parametric profile representation,which originated from Joukowski conformal transformation,an improved genetic algorithm was designed to obtain airfoils with a high lift-to-drag ratio.ICEM and FLUENT were coupled to generate airfoils,reconstruct mesh,set boundary conditions and calculate aerodynamic performances.The results showed that the new airfoil has a higher lift coefficient and lift-to-drag ratio in on-design and off-design operation conditions and at the main range of attack angles.This multidisciplinary design integrates well parametric representation and CFD simulation,which can also provide a reference for similar aerodynamic optimization designs.
分 类 号:TK83[动力工程及工程热物理—流体机械及工程] TH12[机械工程—机械设计及理论]
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