Research On Dynamic Characteristic Analysis Method Of Automobile Engine Gear Train Based On Image Processing

With rapid development of the automobile industry,performance of Automobile engine continues to be improved and enhanced.The quality of gear train,which is regarded as an essential part of the engine,is significant for the efficiency of the engine.And the research of the engine gear train facilities in China is still in the initial stage,the deficiency namely long cycle design,higher experimental cost,and repeated amendments lead to an increasing cost of the domestic automobile industry.Additionally,the complexity of the automotive engine gear train cause a variety of harmful vibration.In order to reduce system vibration and increase the comfort,more in-depth research of the theory and algorithm of gear train need to be carried out.In this paper,the following research work has been carried out:1.The dynamic characteristics acquisition platform of serpentine belt is established to conduct the research about the serpentine belt of engine.Firstly,the timing image information of gear train is acquired by a camera.Then for the purpose of obtaining the exact coordinates of the individual pixels of the Serpentine belt mark,image processing techniques are used to extract the image,transform gray scale extract color feature and detect the edge.Finally the same mark point of the multi-frame image is tracked during the movement of the gear train so that the continuous trajectory of it is collected.2.In order to solve the data loss and error issues caused by camera,equidistant sampling theorem is applied to extract the data of the Serpentine belt string nodes.Moreover,five different interpolation approaches are adopted to reconstruct the data.By comparing the results of interpolation approaches with the data measured by the camera,error analysis is designed to calculate the interpolation algorithm with the least error and enhance the data quality.3.A mathematical model of gear train dynamic characteristics is developed in the study.Firstly,the belt sections of gear train are simplified into axial motion strings.Then Galerkin method is applied to discrete the time-space continuum equations of belt into the product of time and space functions and calculate the dynamic characteristics of theengine gear train.Additionally,parameters such as fluctuating shape,lateral vibration displacement,amplitude,frequency and follower wheel-slip ratio of the Serpentine belt are studied.Finally,for the purpose of improving the study on the dynamic characteristics analysis method of the gear train,experimental results are compared with calculation to verify the accuracy of model and test method.In this paper,the dynamic characteristic analysis method based on the time series image processing is proposed and proved to be an effective method in the analysis of the dynamic characteristics in practical.And it can meet the requirement of the wheel vibration detection and provide references for the development of gear train.