摘要
为了提高汽车的除霜性能,在出风口处增加横格栅,然后选择出风口的长度尺寸和出风角度作为设计变量,使用径向基函数神经网络找到设计变量的最优组合方案。经过优化后,前挡风玻璃上的风速分配更合理,并消灭了除霜死角,在20 min时,前挡风玻璃玻璃的霜层基本完全除净,汽车空调的除霜性能得到明显的提高。
In order to improve the defrosting performance of the automobile,the horizontal grilles are added at the outlets.Then the airflow jet angle and the length of the air conditioning outlets are selected as design variables,and the RBFNN(radial basis function neural network) is used to find the optimal combination scheme of design variables.After optimization,the wind speed distribution on the front windshield is more reasonable,and the defrost dead comers are eliminated.The frost layer is completely removed at 20 min,the defrosting performance of the automobile air conditioner is obviously improved.
作者
刘天宏
范平清
Liu Tianhong;Fan Pingqing(School of Mechanical and Automotive Engineering,Shanghai University of Engineering Science,Shanghai 201620,China)
出处
《农业装备与车辆工程》
2020年第5期106-110,共5页
Agricultural Equipment & Vehicle Engineering
