{"title":"Research on Modeling and Lightweight of Automobile Hub","authors":"Fujian Yan, Wei Xiong","doi":"10.5220/0008849200150020","DOIUrl":"https://doi.org/10.5220/0008849200150020","url":null,"abstract":": This paper studies the application of industrial design concept in automobile hub design, and uses the localized design method to integrate Chinese cultural elements into the hub design and complete the creative hub design. The radial load and bending moment load of the hub are analysed by finite element method to verify the safety of the hub structure, and the lightweight design of the hub is carried out by analysing different materials.","PeriodicalId":186406,"journal":{"name":"Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering","volume":"178 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116648105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Efficient and Accurate Contact Model for Rough Surfaces Considering of Microscopic Interaction","authors":"Cheng Zhang, Jianrun Zhang","doi":"10.5220/0008855801970202","DOIUrl":"https://doi.org/10.5220/0008855801970202","url":null,"abstract":"Traditional rough surface contact models either neglect the interaction between asperities, resulting in inaccurate analysis results, or adopt exhaustive method because of considering interaction, resulting in a huge amount of calculation. In order to establish an efficient and accurate contact model for rough surfaces, the deformation distribution of asperities considering interaction is analyzed by exhaustive method, based on Green function. The results show that the deformation of the asperity still obeys the normal distribution approximately. Therefore, a fitting function is established to describe the distribution of asperities under micro-interaction through data analysis. Then, a new contact model for rough surfaces considering of microscopic interaction is established. Compared with the exhaustive method, the correctness of the model is verified, and the efficient and accurate analysis of rough surface is realized.","PeriodicalId":186406,"journal":{"name":"Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121677723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hang He, Haiyan Wang, Hao Zhang, Qing Liu, Jindong Zhang
{"title":"Research on Location Method of Vehicle Trajectory based on Intelligent Terminal","authors":"Hang He, Haiyan Wang, Hao Zhang, Qing Liu, Jindong Zhang","doi":"10.5220/0008869900970101","DOIUrl":"https://doi.org/10.5220/0008869900970101","url":null,"abstract":": With of people's living standards improving, small cars have gradually become the first choice. However, the consequent traffic problems restrict the development of our society. Based on Android OS and combined with GPS positioning and smart phone sensor components, this paper develops a software for real-time monitoring of vehicle speed and trajectory. The position, speed, acceleration and trajectory of cars are collected and monitored, and the processed data are uploaded to the mobile client through the network of the mobile phone, and the driving status of the vehicle is monitored in real time through the Android client. In order to ensure the accuracy of data recording, the minimum distance of GPS and refresh time interval (refresh once in a second, if the distance exceeds 0.3m compared with the historical location, the monitoring data will be written into the file). To ensure the real-time performance of acceleration data and GPS data, the refresh time interval of the body sensor is set to 0.5 s.","PeriodicalId":186406,"journal":{"name":"Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126257882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on Ultra-precision Technology for Fault Law and Operation Trend Prediction of Machinery and Equipment","authors":"Jinghua Yu","doi":"10.5220/0008386301390143","DOIUrl":"https://doi.org/10.5220/0008386301390143","url":null,"abstract":": Mechanical equipment is the key to ensure industrial production, which determines whether industrial production links can operate efficiently and continuously, but the occurrence of mechanical failure is an important factor hindering its stable operation. Therefore, accurate diagnosis and prediction of mechanical faults has become a hot research topic in the field of industrial production. In this paper, a fault diagnosis and operation trend prediction model of mechanical equipment will be established by combining vector regression and full vector technology. Compared with the traditional time domain model, the model built in this paper mainly uses spectrum structure to predict the model. Finally, this paper establishes the prediction model of fault operation trend based on gear trend development. The results show that the prediction model proposed in this paper can realize the prediction of gear fault trend development.","PeriodicalId":186406,"journal":{"name":"Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116532229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design of a Small-sized Simple Printed Circuit Board Engraving Machine","authors":"Kai Zheng, J. Nan","doi":"10.5220/0008385402880292","DOIUrl":"https://doi.org/10.5220/0008385402880292","url":null,"abstract":"What this design has developed is kind of simple PCB CNC engraving machine for personal and school laboratories (hereinafter referred to as: engraving machine). According to the requirement of system design, the design scheme of main motion and feed motion of engraving machine is fully demonstrated. The system consists of mechanical part and control part. The mechanical part adopts vertical structure and calculates the design parameters according to the working requirements of the system. The control part takes PC as the control core to design the control hardware module. The open-loop servo system with simple structure, stable operation, easy control and convenient maintenance is adopted.","PeriodicalId":186406,"journal":{"name":"Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134431175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Application Research of Single-chip Microcomputer in Intelligent Car Key System","authors":"Zhu Liu","doi":"10.5220/0008873401210127","DOIUrl":"https://doi.org/10.5220/0008873401210127","url":null,"abstract":"","PeriodicalId":186406,"journal":{"name":"Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133061142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Application of Grey Linear Regression Combined Model in Predicting the Motor Oil Wear Particles for Passenger Cars","authors":"Chunjiang Bao, Zhikuan Wang, Lipeng Xu","doi":"10.5220/0008850800380049","DOIUrl":"https://doi.org/10.5220/0008850800380049","url":null,"abstract":": A new model is established by combining the grey model and the linear regression model to synthesize the advantages of the two models, and then the number of oil wear particles in passenger cars is predicted. The three models are used to predict and compare the particle content of different levels of passenger car oil. The prediction results of wear particles in the SJ oil for No.1 passenger car show that the prediction accuracy of the grey linear regression combined model are higher than the linear regression model (1.85%) and the grey model (0.29%), and for the SL oil are 1.34% and 0.45%, respectively. For No.2 passenger car, the prediction accuracy is increased by 2.86% in SJ oil and 1.28% in SL oil for the linear regression model, and 0.12% in SJ oil and 2.62% in SL oil for the grey model. The results indicated that the combined model has better prediction effect, and it can be applied to the prediction of oil wear particles in passenger cars. Through the prediction of combined model and the judgment of cleanliness grade, it can provide the basis for automobile to replacement oil by quality.","PeriodicalId":186406,"journal":{"name":"Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128974647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Lightweight Design of the Vehicle Suspension Control Arm","authors":"Hongwang Zhao, Y. Chen, Xiaogang Liu","doi":"10.5220/0008849300210025","DOIUrl":"https://doi.org/10.5220/0008849300210025","url":null,"abstract":": The restraint relationship of the lower control arm of McPherson suspension under extreme conditions is studied. The strength, stiffness and free mode of the control arm are analysed by using the finite element software ANSYS. The structure optimization of the control arm is carried out. The results show that the lightweight reduces by 0.5KG. Finally, the comprehensive effect of the lower control arm using advanced high strength steel is better than that of aluminium alloy.","PeriodicalId":186406,"journal":{"name":"Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering","volume":"194 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121312793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design and Implementation of Big Data Cloud Platform Supporting Fault Diagnosis and PHM System for Switch Equipment","authors":"Long Shi, Rong Zhou, Shulin Tan","doi":"10.5220/0008377302700273","DOIUrl":"https://doi.org/10.5220/0008377302700273","url":null,"abstract":": Switch equipment plays an important role in railway signal system with the high failure rate. Ensuring the good work condition of railway switch equipment is of great significance for the safety and efficiency of railway transportation. Based on technologies such as information sensing, Internet of Things, cloud computing, expert system, artificial intelligence and fault prediction and health management (PHM), a structure design of the fault diagnosis and PHM system for switch equipment is put forward. A big data cloud platform, gathering and managing massive data reflecting the working state of switch equipment, is designed and implemented. It will be a powerful support for the system to reduce failure rate and improve operation and maintenance capability of switch equipment.","PeriodicalId":186406,"journal":{"name":"Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115579328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on Charging Strategy Optimization of Electric Vehicle based on AGA","authors":"Bowen Xu","doi":"10.5220/0008870302270234","DOIUrl":"https://doi.org/10.5220/0008870302270234","url":null,"abstract":"Because the charging load of electric vehicles is random in time and space, a large number of disorderly charging of electric vehicles will lead to the peak load of distribution network exceeding the limit of equipment, which will bring adverse effects on the operation of power grid. In order to smooth the daily load curve of distribution network, this paper establishes a solution model of intelligent charging control strategy for large-scale electric vehicle considering the charging demand constraints of electric vehicle users, and uses adaptive genetic algorithm (AGA) to solve the model. Taking IEEE33 bus distribution network as an example, based on Monte Carlo stochastic simulation of large-scale electric vehicle gridconnected scene, the impact of electric vehicle load on distribution network under two control modes of disorderly charging and intelligent charging is studied comparatively, and the effectiveness of this method is","PeriodicalId":186406,"journal":{"name":"Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131380032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}