International Journal of Vehicle Structures and Systems最新文献_第2页

Effects of Reynolds Number on the Volume Concentration of Al2O3 in Ethylene Glycol 雷诺数对乙二醇中Al2O3体积浓度的影响

International Journal of Vehicle Structures and Systems Pub Date : 2023-10-08 DOI: 10.4273/ijvss.15.3.13

Kusammanavar Basavaraj, K. Elangovan, S. Shankar, Anand Kulkarni, S. Satyanarayan

{"title":"Effects of Reynolds Number on the Volume Concentration of Al2O3 in Ethylene Glycol","authors":"Kusammanavar Basavaraj, K. Elangovan, S. Shankar, Anand Kulkarni, S. Satyanarayan","doi":"10.4273/ijvss.15.3.13","DOIUrl":"https://doi.org/10.4273/ijvss.15.3.13","url":null,"abstract":"The nanofluid is suspension of nanoparticles in the base fluid used to enhance the heat transfer rate in many applications of heat transfer. The Reynolds number is the dimensionless number used to characterize the flow of the nanofluid to enhance the heat transfer rate. The current study, the effects of Reynolds number on 0.01% volume concentrations of the aluminium oxide (Al2O3) nanoparticles in the ethylene glycol through the flow in the pipe are investigated. In the study, ethylene glycol is considered as the base fluid. The thermophysical characteristics of the Al2O3/EG nanofluid were determined in the current work using a cylindrical copper pipe with an 8 mm diameter and 400 mm length. The heat transfer coefficient (HTC) and Nusselt number were calculated for the Reynolds number varied from 200 to 1200, considering nanofluid inlet temperature of 298 K and constant heat flux at the wall surface of pipe 1100 W/m2 K. The findings showed that the HTC and Nusselt number of the nanofluid flow in the pipe increased as the Reynolds number increased. Further, an exponential correlation was proposed for variation of the Reynolds number with HTC and Nusselt number for the obtained results. ANSYS Fluent software was used for the analysis of the nanofluid flow though pipe.","PeriodicalId":14391,"journal":{"name":"International Journal of Vehicle Structures and Systems","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135251817","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}

引用次数: 0

Methodology and Research of Intelligent New Energy Vehicle Motion Control System based on Fuzzy Adaptive 基于模糊自适应的智能新能源汽车运动控制系统方法与研究

International Journal of Vehicle Structures and Systems Pub Date : 2023-10-08 DOI: 10.4273/ijvss.15.3.16

Duan Ji, Haiqing Li, Wei Liu

{"title":"Methodology and Research of Intelligent New Energy Vehicle Motion Control System based on Fuzzy Adaptive","authors":"Duan Ji, Haiqing Li, Wei Liu","doi":"10.4273/ijvss.15.3.16","DOIUrl":"https://doi.org/10.4273/ijvss.15.3.16","url":null,"abstract":"To resolve the difficult control issue of intelligent new energy automobile in the process of vehicle control, the study starts from the vehicle motion mode and splits the vehicle control into two parts, transverse control and longitudinal control. Among them, the longitudinal speed control is controlled by an improved adaptive PID model, while the lateral angle control is dominated by an indistinct adaptive PID model, afterwards longitudinal speed control is combined with the lateral angle control for joint control. Finally, the study uses the actual lane simulation to verify the three perspectives of transverse control, longitudinal control and joint control respectively. It shows that the longitudinal control and lateral control are well realized with the improved adaptive PID model control effect at 8km, 15km and 20km per hour. Meanwhile, maximum trajectory error of the combined direction and transverse dominate is always lower than 0.5m at vehicle speeds of 8km/h, 16km/h and 20km/h in the integrated road environment and the combined longitudinal speed and transverse angle control performance is good in the curves. This shows that the model designed by the research can realize adaptive real-time precision control.","PeriodicalId":14391,"journal":{"name":"International Journal of Vehicle Structures and Systems","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135251822","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}

引用次数: 0

Assembly Sequence and Assembly Path Planning of Robot Automation Products Based on Discrete Particle Swarm Optimization 基于离散粒子群优化的机器人自动化产品装配顺序与装配路径规划

International Journal of Vehicle Structures and Systems Pub Date : 2023-10-08 DOI: 10.4273/ijvss.15.3.20

H. Cen

{"title":"Assembly Sequence and Assembly Path Planning of Robot Automation Products Based on Discrete Particle Swarm Optimization","authors":"H. Cen","doi":"10.4273/ijvss.15.3.20","DOIUrl":"https://doi.org/10.4273/ijvss.15.3.20","url":null,"abstract":"The product assembly process in industrial production is a time-consuming and labour-intensive link, so the use of robots for intelligent assembly can achieve high-efficiency operations to a large extent. During the intelligent assembly process, robots need to carry out three key processes: product information modelling, assembly route planning and assembly sequence planning. The experiment examines assembly sequence planning and assembly route planning. In light of the deficiencies of the current assembly sequence planning technique, we propose a new approach, which is difficult to calculate, the experiment proposes to introduce the DPSO algorithm into the assembly sequence planning model. Meanwhile, to prevent the model from entering local optimal, the experiment adds disturbance operation on the basis of DPSO. That is, a part is randomly selected to be inserted into another position in the disassembly sequence and at the same time, the rest of the parts are moved to form a new disassembly sequence to update the particle's location. In addition to the assembly sequence planning, the experiment aims to improve the planning path obtained by the existing RRT algorithm, which is not smooth enough, that is, to simplify the installation path by reducing the change of direction. The simulation experiment findings demonstrate that the addition of the disturbance to DPSO algorithm successfully prevents the model from entering a local optimum state. The moving distance of the parts before path optimization is 52.0012mm and the number of moving direction changes is 8 times, while the moving distance of the parts after path optimization is reduced to 42.8094mm and the moving direction is changed only 2 times.","PeriodicalId":14391,"journal":{"name":"International Journal of Vehicle Structures and Systems","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135251811","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}

引用次数: 0

Prediction of Battery Life and Fault Inspection of New Energy Vehicles using Big Data 基于大数据的新能源汽车电池寿命预测与故障检测

International Journal of Vehicle Structures and Systems Pub Date : 2023-10-08 DOI: 10.4273/ijvss.15.3.21

Qingde Zeng, Shengfu Li

{"title":"Prediction of Battery Life and Fault Inspection of New Energy Vehicles using Big Data","authors":"Qingde Zeng, Shengfu Li","doi":"10.4273/ijvss.15.3.21","DOIUrl":"https://doi.org/10.4273/ijvss.15.3.21","url":null,"abstract":"New energy vehicles have gradually become the preferred means of transportation for people to travel greenly. Lithium batteries, as batteries for new energy vehicles, its quality directly affects the safety of vehicles and mileage is also the core data that people consider when choosing vehicles one. Therefore, the research uses big data to predict and test the battery life and failure of new energy vehicles. When predicting the battery life, the improved P-GN model has a good prediction effect and the model reaches the convergence state only three iterations and converged to 0.83. The optimal fitness converges at the beginning of iteration, reaching the optimal value of 1.946 after only four iterations. The error between the predicted value and the actual value of the remaining cruising range is within an acceptable range. When the weather condition is good, the prediction effect of the remaining cruising range is excellent and the fluctuation of the prediction difference is small. When the weather conditions are severe, the model can still predict the cruising range of the battery pack normally. When performing fault detection on the battery pack, the fault detection system can accurately and quickly detect the type of fault and effectively analyse the inconsistency of the battery and be accurate to the single faulty battery. When analysing the single faulty battery, it is proposed that the fault detection system can accurately diagnose the fault in the test battery, which not only takes a short time but also has good feasibility.","PeriodicalId":14391,"journal":{"name":"International Journal of Vehicle Structures and Systems","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135251994","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}

引用次数: 0

Identification Method of Vehicle Key Performance Parameters based on PSO Algorithm 基于粒子群算法的车辆关键性能参数识别方法

International Journal of Vehicle Structures and Systems Pub Date : 2023-10-08 DOI: 10.4273/ijvss.15.3.17

Qingfeng Liu, Lewen Feng, Jianhong Guo

引用次数: 0

Regenerative Braking of BLDC Motor applied to Electric Vehicles 应用于电动汽车的无刷直流电机再生制动

International Journal of Vehicle Structures and Systems Pub Date : 2023-10-08 DOI: 10.4273/ijvss.15.3.23

M. Arun Noyal Doss, T.A. Anuja, K.N.D.V. Sai Eswar, M. Vinoth Raja, V.S. Ramasubramanian, E. Shalini, S. Priya

引用次数: 0

Impact of Hydrogen on Emission Reduction in a CI Engine when Fuelled with Blends of Diesel-Waste Cooking Biodiesel 使用柴油-废烹饪生物柴油混合燃料时，氢对CI发动机减排的影响

International Journal of Vehicle Structures and Systems Pub Date : 2023-10-08 DOI: 10.4273/ijvss.15.3.09

N. Harish Kumar, D. Balaji, R. Sathish Babu, V. Hariram

{"title":"Impact of Hydrogen on Emission Reduction in a CI Engine when Fuelled with Blends of Diesel-Waste Cooking Biodiesel","authors":"N. Harish Kumar, D. Balaji, R. Sathish Babu, V. Hariram","doi":"10.4273/ijvss.15.3.09","DOIUrl":"https://doi.org/10.4273/ijvss.15.3.09","url":null,"abstract":"Waste utilisation and emission of greenhouse gases are two of the world's most pressing challenges today. This study seeks to solve the problem generated by the disposal of Waste Cooking Oil (WCO) as a tiny step forward in contributing to the reduction of waste disposal. WCO has a high potential as a bio fuel for internal combustion engines, hence it was chosen for this investigation. WCO of 20% and diesel 80% is used. This study looks at the performance, combustion and emission parameters of a dual fuel compression ignition engine running on WCO biodiesel with a hydrogen additive at atmospheric condition. The parametric study include variation in engine load (0-18 kg) and hydrogen flow rate (3, 6, 9 LPM). The experiment was conducted on a four-stroke diesel (computerized), single cylinder, water cooled power at 5.2 kW at 1500rpm Kirloskar engine. From the experiment overall parametric variation of 35.38%, 34.06% and 32.37% of brake thermal efficiency was obtained and emission was observed. However, with increase of hydrogen flow rate resulted in increased engine performance, increase in CO, NOx and reduction in emission of UBHC and CO2.","PeriodicalId":14391,"journal":{"name":"International Journal of Vehicle Structures and Systems","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135251997","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}

引用次数: 0

Design of Super-Lift Luo Converter for Electric Vehicle Applications 电动汽车用超升力变换器的设计

International Journal of Vehicle Structures and Systems Pub Date : 2023-10-08 DOI: 10.4273/ijvss.15.3.07

M. Sabarimuthu, N. Priyadharshini, M. Arunkumar, Dola Sainath Reddy, Bellam Naveenkumar, D. Boopathi

引用次数: 0

Experimental Investigation on the Mechanical Properties of Carbon/Epoxy Laminates Modified with Halloysite Nanotubes at Elevated Temperatures 高温高岭土纳米管改性碳/环氧复合材料力学性能的实验研究

International Journal of Vehicle Structures and Systems Pub Date : 2023-10-08 DOI: 10.4273/ijvss.15.3.24

J.P. Shebaz Ahmed, V. Harikaran, L. Gokul

引用次数: 0

Application of Automatic Recognition and Positioning Technology of Industrial Robot based on Monocular Vision Technology in Vehicle Manufacturing 基于单目视觉技术的工业机器人自动识别定位技术在汽车制造中的应用

International Journal of Vehicle Structures and Systems Pub Date : 2023-10-08 DOI: 10.4273/ijvss.15.3.27

Hongyu Chen

{"title":"Application of Automatic Recognition and Positioning Technology of Industrial Robot based on Monocular Vision Technology in Vehicle Manufacturing","authors":"Hongyu Chen","doi":"10.4273/ijvss.15.3.27","DOIUrl":"https://doi.org/10.4273/ijvss.15.3.27","url":null,"abstract":"Combining machine vision technology with intelligent algorithms to improve the automatic identification and positioning technology of industrial robots to meet the production needs in different industrial environments is the current research direction of intelligent robots. In this study, an automatic identification and positioning technology for industrial robots based on monocular vision technology is proposed. First, the template matching algorithm and the Scale-invariant feature transform (SIFT) algorithm are introduced. Aiming at the shortcomings of the Hessian matrix in the SIFT algorithm in the process of eliminating boundary effects, an improved SIFT algorithm using Harris corner point detection is further proposed, and the improved SIFT algorithm is used in the automatic recognition and target positioning operations of industrial robots. In order to verify the performance of the proposed improved SIFT algorithm, the recognition accuracy and positioning angle deflection of the algorithm in different plastic sheets were detected. The experimental results show that under the improved SIFT algorithm, the recognition accuracy of five different styles of plastic sheets is above 98%. The improved SIFT algorithm also has less error between the predicted value and the actual value of the positioning angle deflection on the four plastic sheets. The robot under the improved algorithm is applied to the vehicle manufacturing industry and the production efficiency of the vehicle is improved through the automatic recognition and positioning technology of intelligent robot.","PeriodicalId":14391,"journal":{"name":"International Journal of Vehicle Structures and Systems","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135251999","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}

引用次数: 0