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中文摘要：
为了解决优化计算和流场分析耦合求解的难题,并实现优化流程的自动化运行,采用多学科优化设计框架软件,针对风力机专用翼型运行工况,对低雷诺数航空翼型NACA 4412的气动性能进行优化设计。软件集成了翼型生成、网格划分、流场分析、优化计算4个模块。其中,流场计算采用N-S方程求解;优化方法为多岛遗传算法。优化结果表明,优化后翼型有较高的升力系数和相对大的升阻比,其升阻比提高了15.9%。该方法可以实现多学科领域的精确分析和整个优化循环过程的自动化运行,也能为其他气动外形的优化设计提供参考。
英文摘要：
A framework for multidisciplinary optimization design is applied to solve the coupling problem of optimization and flow field analysis in automatically.For the operating conditions of wind turbine airfoil,the NACA4412 is chosen as an initial airfoil and is optimized in flow field with low Reynolds numbers.There are four modules integrated into software including airfoil generation,mesh division,flow field analysis and optimization.In the third module,the Navier-Stokes（N-S） equation is used.The optimization method is a multi-island genetic algorithm.Results show that an optimized airfoil has a higher lift coefficient and a 15.9% higher lift-drag ratio.This method can be applied in multi-disciplinary accurate analysis and realize the optimization cycle automatically,which can be widely used in airfoil optimization design.
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