摘要
为解决当前汽车气动减阻研究中非光滑表面布置区域选取的盲目性和单一性的问题,作者以阶梯背式MIRA模型为研究对象,通过离散伴随法确定了模型的风阻系数高灵敏度区域,随后在上述区域分别布置了4种不同形状的非光滑表面,通过数值计算确定每个区域的非光滑单元体的最佳形状。为了减少汽车的气动阻力,采用优化拉丁超立方抽样方法进行试验设计(design of experiments, DOE),采用Kriging空间插值法来建立近似模型,使用优化算法对近似模型进行综合优化。结果表明,相较于原模型,优化模型风阻系数减少3.22%。该研究为汽车非光滑表面气动减阻和优化提供了理论依据和参考。
To address the issues of randomness and singularity in the selection of non-smooth surface arrangement areas in current automotive aerodynamic drag reduction research, the author focuses on the stepped-back MIRA model.Using the discrete adjoint method, high-sensitivity regions of the model's drag coefficient are identified.Four different shapes of non-smooth surfaces are then arranged within these areas, and numerical calculations are conducted to determine the optimal shape of each non-smooth unit.To reduce the aerodynamic drag of the vehicle, an optimized Latin hypercube sampling method is employed for the design of experiments(DOE),with the Kriging spatial interpolation method used to establish an approximate model, which is subsequently optimized using an optimization algorithm.The results show that compared to the original model, the drag coefficient of the optimized model is reduced by 3.22%.This study provides a theoretical basis and reference for aerodynamic drag reduction and optimization of automotive non-smooth surfaces.
作者
程胜
刘珣
王军彦
赵健
胡松源
CHENG Sheng;LIU Xun;WANG Jun-yan;ZHAO Jian;HU Song-yuan(Hubei Provincial Key Laboratory of Modern Automotive Components Technology,Wuhan University of Technology,Wuhan 430070,China)
出处
《武汉理工大学学报》
2025年第1期52-60,共9页
Journal of Wuhan University of Technology
基金
湖北省支持企业科技创新发展专项(2021BA015)
湖北省科技重大专项(2021AAA006)
关键词
气动减阻
仿生非光滑表面
组合布置
参数优化
aerodynamic drag reduction
bionic non-smooth surface
combination layout
parameter optimization
