发动机螺栓拧紧与缸盖振动相关性研究  

Correlation Research of Engine Bolt Tightening and Cylinder Head Vibration

作　　者：陈勤和 郭钢[2] 唐明清[2] Chen Qinhe;Guo Gang;Tang Mingqing(School of Mechanical Engineering,Chongqing University,Chongqing 400044,China;School of Automotive Engineering,Chongqing University,Chongqing 400044,China)

机构地区：[1]重庆大学机械工程学院,重庆400044 [2]重庆大学汽车工程学院,重庆400044

出　　处：《机械科学与技术》2018年第11期1662-1669,共8页Mechanical Science and Technology for Aerospace Engineering

基　　金：中央高校项目(106112017CDJXF330013)资助

摘　　要：为实现发动机装配质量的稳定性与一致性,探究发动机装配生产中过程数据与冷试质量数据间的关系,以发动机冷试时缸盖的振动峰值作为切入点,通过灰色关联分析法确定各相关工位螺栓拧紧质量对缸盖高速振动峰值的影响程度,探索对缸盖振动影响显著的因子。通过神经网络与支持向量机模型,实现对生产数据的实时分析以达到发动机质量数据的预测,并将其用于实际生产中冷测试的辅助,指导生产工艺及标准改进,通过修正工艺参数最终达到提高发动机整体性能的目的。To ensure the stability and consistency of the engine after assembly,the relationship between process data and cold test quality data in engine assembly production was studied by the vibration peak of cylinder head in engine cold test.The influence of bolt tightening quality on the high vibration peak of cylinder head was firstly determined by grey relational analysis,and then the factors affecting the vibration of cylinder head.By establishing neural networks and support vector machines models,real-time analysis of production data was made to achieve the prediction of engine quality data,which was used in the practical production of the cold test auxiliary,to guide the production process standard improvement.In this fact,improving the overall performance of the engine can be achieved by modifying the process parameters.

关 键 词：螺栓拧紧 振动 灰色关联分析 神经网络 支持向量机 MATLAB 

分 类 号：TH16[机械工程—机械制造及自动化]