A promising technology of local continuous heating calibration process (LCHCP) was investigated by applying different parameters of electropulsing on the circumferential arc shell of a 304 stainless steel pipe during roll bending process. In comparison to the cold calibration process, the roundness of the pre-deformed 304 stainless steel pipe was significantly improved as increasing the current density and the electropulsing width. The ring gaps in characterization of the springback possessed the similar response to both the current density and the electropulsing width. Meanwhile, a stress relaxation constitutive model considering the electropulsing was employed to fit the ring gaps greatly.
{"title":"Investigation into the Local Continuous Heating Calibration Process of a 304 Stainless Steel Pipe by Electrically-assisted roll bending","authors":"Zejun Tang, Yucong Ai, Aijun Xu","doi":"10.1139/tcsme-2023-0102","DOIUrl":"https://doi.org/10.1139/tcsme-2023-0102","url":null,"abstract":"A promising technology of local continuous heating calibration process (LCHCP) was investigated by applying different parameters of electropulsing on the circumferential arc shell of a 304 stainless steel pipe during roll bending process. In comparison to the cold calibration process, the roundness of the pre-deformed 304 stainless steel pipe was significantly improved as increasing the current density and the electropulsing width. The ring gaps in characterization of the springback possessed the similar response to both the current density and the electropulsing width. Meanwhile, a stress relaxation constitutive model considering the electropulsing was employed to fit the ring gaps greatly.","PeriodicalId":23285,"journal":{"name":"Transactions of The Canadian Society for Mechanical Engineering","volume":"251 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136234104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A vision-based impedance control method is applied to a 7-degree-of-freedom (7-DOF) Franka Emika (FE) Panda robotic manipulator to complete pick-and-handover tasks with human-like grasping of fruits. The interfaces between different hardware, controller, and path planner are developed using Robot Operating System (ROS). An RGB camera is applied using YOLOv5 (You Only Look Once v5) object detection algorithm, which is trained for various fruits and human hands, and then employed for identifying the location of the targeted objects. A qb-SoftHand robotic hand is used as the end-effector for the grasping tasks. By integrating these components together with ROS, the FE Panda robot successfully achieves autonomous human-like handover tasks as shown in the experimental results.
将一种基于视觉的阻抗控制方法应用于7自由度(7-DOF) Franka Emika (FE) Panda机器人机械臂，以类似人类抓取水果的方式完成拾取和移交任务。利用机器人操作系统(ROS)开发了不同硬件、控制器和路径规划器之间的接口。RGB相机使用YOLOv5 (You Only Look Once v5)目标检测算法，该算法对各种水果和人手进行了训练，然后用于识别目标物体的位置。qb-SoftHand机器人手作为末端执行器执行抓取任务。通过将这些组件与ROS集成，FE Panda机器人成功地完成了类似人类的自主切换任务，如实验结果所示。
{"title":"Robotic Pick-and-Handover Maneuvers with Camera-based Intelligent Object Detection and Impedance Control","authors":"Qiguang Chen, Lucas Wan, Yajun Pan","doi":"10.1139/tcsme-2022-0176","DOIUrl":"https://doi.org/10.1139/tcsme-2022-0176","url":null,"abstract":"A vision-based impedance control method is applied to a 7-degree-of-freedom (7-DOF) Franka Emika (FE) Panda robotic manipulator to complete pick-and-handover tasks with human-like grasping of fruits. The interfaces between different hardware, controller, and path planner are developed using Robot Operating System (ROS). An RGB camera is applied using YOLOv5 (You Only Look Once v5) object detection algorithm, which is trained for various fruits and human hands, and then employed for identifying the location of the targeted objects. A qb-SoftHand robotic hand is used as the end-effector for the grasping tasks. By integrating these components together with ROS, the FE Panda robot successfully achieves autonomous human-like handover tasks as shown in the experimental results.","PeriodicalId":23285,"journal":{"name":"Transactions of The Canadian Society for Mechanical Engineering","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134907156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Heavy equipment such as continuous mining machines and shearers are widely used in coal mining projects, and conical picks are essential cutting tools. During the cutting process, different conical pick structures can have significant impacts on the cutting performance of the equipment, and the wear resistance of the conical picks will directly affect the efficiency and reliability of the equipment. In this paper, a bionic dimple-structured conical pick is designed, and a mathematical model of the dimple structure is established. The cutting performance, self-rotation performance, and wear resistance of dimple-type picks (DTPs) and ordinary-type picks (OTPs) are studied using the discrete element software EDEM and the dynamic analysis software ADAMS. The results show that during the cutting process, the trend of rotational torque over time for both types of conical picks first increases and then decreases, with the maximum rotational torque of DTP being greater than that of OTP, indicating that the self-rotation performance of DTP is superior to OTP. Compared with OTP, DTP exhibits a smaller total wear amount and better wear resistance performance. When comparing end plates equipped with DTP to those with OTP, the end plates with DTP have a smaller load fluctuation coefficient, lower cutting resistance, lower specific energy consumption for cutting, and greater total coal mass.
{"title":"Structure design and service performance of bionic conical pick","authors":"Honghong Yan, Longbao Zhang","doi":"10.1139/tcsme-2023-0084","DOIUrl":"https://doi.org/10.1139/tcsme-2023-0084","url":null,"abstract":"Heavy equipment such as continuous mining machines and shearers are widely used in coal mining projects, and conical picks are essential cutting tools. During the cutting process, different conical pick structures can have significant impacts on the cutting performance of the equipment, and the wear resistance of the conical picks will directly affect the efficiency and reliability of the equipment. In this paper, a bionic dimple-structured conical pick is designed, and a mathematical model of the dimple structure is established. The cutting performance, self-rotation performance, and wear resistance of dimple-type picks (DTPs) and ordinary-type picks (OTPs) are studied using the discrete element software EDEM and the dynamic analysis software ADAMS. The results show that during the cutting process, the trend of rotational torque over time for both types of conical picks first increases and then decreases, with the maximum rotational torque of DTP being greater than that of OTP, indicating that the self-rotation performance of DTP is superior to OTP. Compared with OTP, DTP exhibits a smaller total wear amount and better wear resistance performance. When comparing end plates equipped with DTP to those with OTP, the end plates with DTP have a smaller load fluctuation coefficient, lower cutting resistance, lower specific energy consumption for cutting, and greater total coal mass.","PeriodicalId":23285,"journal":{"name":"Transactions of The Canadian Society for Mechanical Engineering","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135968164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chirala Hari Krishna, Ch Nagaraju, N Malleswararao Battina, Obula Reddy Kummitha
The current study focuses on the prediction of metal hardness distribution in the upsetting tests for different compositions of ZrO2 embedded with aluminum matrix using machine learning (ML) algorithms and finite element analysis. The mass fraction of the ZrO2 particles was varied from 4 % to 8% and 3 sets of solid cylindrical rods with Al4%ZrO2, Al6%ZrO2, and Al8%ZrO2 were prepared using the stir casting method. The upsetting process was simulated and an equation for predicting hardness was developed from the equivalent strain distributions. Artificial neural networks(ANN), Multilinear regression (MLR) along with equations developed from FE analysis were used to train the model for regression analysis considering the principal stresses, friction factor, anisotropy ratio, effective strain, and hoop strain as input and the magnitude of hardness as output parameters. Regression analysis reveals that ANN (Tri-layer network), XG Boost, and multilinear-regression algorithms are the best suitable for the given data sets with a root mean square (R2) greater than 0.95. XG Boost, ANN (narrow), and SVM are linear and are the most recommendable classifier algorithms for the current investigation. Hardness data from ring compression tests were used to validate the results obtained from the trained models with the test results
{"title":"Hardness prediction in Upsetting process of Al%ZrO2 -An approach of Machine Learning using Regression and Classification Models","authors":"Chirala Hari Krishna, Ch Nagaraju, N Malleswararao Battina, Obula Reddy Kummitha","doi":"10.1139/tcsme-2023-0063","DOIUrl":"https://doi.org/10.1139/tcsme-2023-0063","url":null,"abstract":"The current study focuses on the prediction of metal hardness distribution in the upsetting tests for different compositions of ZrO2 embedded with aluminum matrix using machine learning (ML) algorithms and finite element analysis. The mass fraction of the ZrO2 particles was varied from 4 % to 8% and 3 sets of solid cylindrical rods with Al4%ZrO2, Al6%ZrO2, and Al8%ZrO2 were prepared using the stir casting method. The upsetting process was simulated and an equation for predicting hardness was developed from the equivalent strain distributions. Artificial neural networks(ANN), Multilinear regression (MLR) along with equations developed from FE analysis were used to train the model for regression analysis considering the principal stresses, friction factor, anisotropy ratio, effective strain, and hoop strain as input and the magnitude of hardness as output parameters. Regression analysis reveals that ANN (Tri-layer network), XG Boost, and multilinear-regression algorithms are the best suitable for the given data sets with a root mean square (R2) greater than 0.95. XG Boost, ANN (narrow), and SVM are linear and are the most recommendable classifier algorithms for the current investigation. Hardness data from ring compression tests were used to validate the results obtained from the trained models with the test results","PeriodicalId":23285,"journal":{"name":"Transactions of The Canadian Society for Mechanical Engineering","volume":"56 97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135549148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to improve the stability and acceleration of electric vehicles with four in-wheel motors under various road conditions, an anti-slip regulation method considering the identification of slip ratio is proposed. In this paper, the model of the whole vehicle is built and the road identifier based on the tire model which established by Burckhardt is designed. Then, an anti-slip controller that utilizes the variable universe fuzzy PID algorithm is established to adjust the driving torques of the four in-wheel motors according to the road conditions. The simulation results show that the designed control strategy can quickly and accurately identify the optimal slip ratio under each typical road condition, and make the tire slip ratio approach the optimal slip ratio in a short time, so as to effectively improve the driving stability and dynamic performance of the vehicle.
{"title":"Anti-slip regulation method for electric vehicles with four in-wheel motors based on the identification of slip ratio","authors":"Qiping Chen, Wuhao Xu, Zongyu Lv, Dequan Zeng, Chengping Zhong, Xiaochun Zeng","doi":"10.1139/tcsme-2023-0031","DOIUrl":"https://doi.org/10.1139/tcsme-2023-0031","url":null,"abstract":"In order to improve the stability and acceleration of electric vehicles with four in-wheel motors under various road conditions, an anti-slip regulation method considering the identification of slip ratio is proposed. In this paper, the model of the whole vehicle is built and the road identifier based on the tire model which established by Burckhardt is designed. Then, an anti-slip controller that utilizes the variable universe fuzzy PID algorithm is established to adjust the driving torques of the four in-wheel motors according to the road conditions. The simulation results show that the designed control strategy can quickly and accurately identify the optimal slip ratio under each typical road condition, and make the tire slip ratio approach the optimal slip ratio in a short time, so as to effectively improve the driving stability and dynamic performance of the vehicle.","PeriodicalId":23285,"journal":{"name":"Transactions of The Canadian Society for Mechanical Engineering","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135385677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To improve the loaded performance of spiral bevel gears, a novel tooth surface redesign method considering misalignment is proposed based on ease-off. First, the digital features of the contact pattern were extracted, and the equivalent misalignment was obtained by an optimal method according to the minimum deviation of the contact path. Second, a pinion target surface whose performance under misalignment was consistent with the original gear in standard position was built, and a pinion surface with good meshing performance under misalignment was redesigned with equivalent misalignment. Third, the flank modification was carried out to cut down on the loaded transmission error of gear under misalignment. Through simulations, it is found the transmission error and the contact path of redesign gear considering misalignment were the same as original gear in standard position. The loaded transmission error amplitude of original gear under misalignment was 43.91% higher than original gear in standard position, and the loaded transmission error amplitude of redesign gear after optimization under misalignment was 44.73% lower than original gear in standard position and 61.60% lower than original gear under misalignment. The tooth surface stress of redesigned gear after optimization under misalignment was also significantly improved. This proposed redesign method, which considers misalignment on the basis of ease-off, can greatly improve the loaded meshing quality of gear under actual working conditions.
{"title":"An ease-off tooth surface redesign for spiral bevel gears considering misalignment under actual working conditions","authors":"Yanming Mu, Fangxia Xie, Xueming He","doi":"10.1139/tcsme-2022-0145","DOIUrl":"https://doi.org/10.1139/tcsme-2022-0145","url":null,"abstract":"To improve the loaded performance of spiral bevel gears, a novel tooth surface redesign method considering misalignment is proposed based on ease-off. First, the digital features of the contact pattern were extracted, and the equivalent misalignment was obtained by an optimal method according to the minimum deviation of the contact path. Second, a pinion target surface whose performance under misalignment was consistent with the original gear in standard position was built, and a pinion surface with good meshing performance under misalignment was redesigned with equivalent misalignment. Third, the flank modification was carried out to cut down on the loaded transmission error of gear under misalignment. Through simulations, it is found the transmission error and the contact path of redesign gear considering misalignment were the same as original gear in standard position. The loaded transmission error amplitude of original gear under misalignment was 43.91% higher than original gear in standard position, and the loaded transmission error amplitude of redesign gear after optimization under misalignment was 44.73% lower than original gear in standard position and 61.60% lower than original gear under misalignment. The tooth surface stress of redesigned gear after optimization under misalignment was also significantly improved. This proposed redesign method, which considers misalignment on the basis of ease-off, can greatly improve the loaded meshing quality of gear under actual working conditions.","PeriodicalId":23285,"journal":{"name":"Transactions of The Canadian Society for Mechanical Engineering","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136061132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As one of the alternatives to conventional energy sources, wind power is a fast-growing renewable technology. The intermittent characteristic of wind speed leads to unstable wind power production; therefore, a storage system is typically needed at wind power farms to stabilize the power output. This project aims to develop a power storage system planning model to optimize the power transfer between wind turbines and storage devices on an hourly basis to stabilize power output and maximize annual net earnings. The developed model utilizes the dynamic programming technique, and it is applied to a case study of the Wolfe Island Wind Farm in Ontario, Canada, for the year of 2020. Two scenarios with different power output tolerance considerations (i.e., tolerance ranges based on 6- and 8-hour subperiods) are analyzed to compare the fluctuations of power output and the total net earnings. The optimized number of storage devices is also discussed. The developed model can provide technical support for the design and operation of power storage systems at wind power farms.
{"title":"A power storage system planning model for the Wolfe Island wind farm","authors":"Fuwei Rao, Zhong Li","doi":"10.1139/tcsme-2023-0016","DOIUrl":"https://doi.org/10.1139/tcsme-2023-0016","url":null,"abstract":"As one of the alternatives to conventional energy sources, wind power is a fast-growing renewable technology. The intermittent characteristic of wind speed leads to unstable wind power production; therefore, a storage system is typically needed at wind power farms to stabilize the power output. This project aims to develop a power storage system planning model to optimize the power transfer between wind turbines and storage devices on an hourly basis to stabilize power output and maximize annual net earnings. The developed model utilizes the dynamic programming technique, and it is applied to a case study of the Wolfe Island Wind Farm in Ontario, Canada, for the year of 2020. Two scenarios with different power output tolerance considerations (i.e., tolerance ranges based on 6- and 8-hour subperiods) are analyzed to compare the fluctuations of power output and the total net earnings. The optimized number of storage devices is also discussed. The developed model can provide technical support for the design and operation of power storage systems at wind power farms.","PeriodicalId":23285,"journal":{"name":"Transactions of The Canadian Society for Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45914294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zeliang Zhang, Jing Chen, Yue Gu, Wanlin He, Jianfei Yao
A fault diagnosis method based on Boolean matrix filtering and optimizing back propagation (BP) neural network is proposed for angle head of computer numerical control (CNC) machine tools in the paper. The matrix filtering is firstly carried out with the fault case database and the fault cause symptom Boolean matrix according to the fault types and characteristics of machine tool angle head. On the basis of the combination of multiple fault causes obtained from the initial filtering, the Euclidean distance method is used to narrow the results of fault causes filtering. The BP neural network model with weight vector is established and optimized to perform the accurate diagnosis. Finally, the fault diagnosis and management system of angle head of CNC machine tool integrating with Boolean matrix filtering method, Euclidean distance method and BP neural network model is developed and implemented with Python language and Qt development framework.
{"title":"Design and Application of Fault Diagnosis System of Machine Tool Angle Head Based on Boolean Matrix Filtering and Optimized BP Neural Network","authors":"Zeliang Zhang, Jing Chen, Yue Gu, Wanlin He, Jianfei Yao","doi":"10.1139/tcsme-2023-0044","DOIUrl":"https://doi.org/10.1139/tcsme-2023-0044","url":null,"abstract":"A fault diagnosis method based on Boolean matrix filtering and optimizing back propagation (BP) neural network is proposed for angle head of computer numerical control (CNC) machine tools in the paper. The matrix filtering is firstly carried out with the fault case database and the fault cause symptom Boolean matrix according to the fault types and characteristics of machine tool angle head. On the basis of the combination of multiple fault causes obtained from the initial filtering, the Euclidean distance method is used to narrow the results of fault causes filtering. The BP neural network model with weight vector is established and optimized to perform the accurate diagnosis. Finally, the fault diagnosis and management system of angle head of CNC machine tool integrating with Boolean matrix filtering method, Euclidean distance method and BP neural network model is developed and implemented with Python language and Qt development framework.","PeriodicalId":23285,"journal":{"name":"Transactions of The Canadian Society for Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45992270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The rapidly rising demand for refrigeration technologies, mainly in refrigeration and air conditioning, medical applications and electronic component cooling, produced much more energy than the requirement. Thermoelectric refrigeration is an innovative way to use additional energy to cool and reserve cooling. In this research, a Photovoltaic-thermoelectric refrigeration system capable of sustaining vaccine storage within the limit of 2 to 8 ℃ has been established by experimentally optimizing its volume and performance. The design specification is to cool the volume using forced convection to the desired temperature range in less than thirty minutes and sustain retained heat for at least the next hour. The experimental research is divided into two stages: the first determines the optimal volume of vaccine storage under different testing conditions using only grid power, and the second analyses storage performance using solar energy through PV integration. The solar direct drive and the solar drive with battery support have been timed, revealing a holding period of 4 hours 46 minutes and 5 hours 29 minutes, respectively. The refrigerator's design criteria, prospective characteristics, and final design are all thoroughly highlighted. Finally, we conclude that this research will likely benefit the modelling and analysis of thermoelectric cooling systems.
{"title":"Photovoltaic Thermoelectric Cooling System for Off-grid Vaccine Refrigerator: An Experimental Study","authors":"Nazia Rodoshi Khan, Tasnuva Sharmin, MD Azazul Haque, Md. Hamidur Rahman","doi":"10.1139/tcsme-2023-0003","DOIUrl":"https://doi.org/10.1139/tcsme-2023-0003","url":null,"abstract":"The rapidly rising demand for refrigeration technologies, mainly in refrigeration and air conditioning, medical applications and electronic component cooling, produced much more energy than the requirement. Thermoelectric refrigeration is an innovative way to use additional energy to cool and reserve cooling. In this research, a Photovoltaic-thermoelectric refrigeration system capable of sustaining vaccine storage within the limit of 2 to 8 ℃ has been established by experimentally optimizing its volume and performance. The design specification is to cool the volume using forced convection to the desired temperature range in less than thirty minutes and sustain retained heat for at least the next hour. The experimental research is divided into two stages: the first determines the optimal volume of vaccine storage under different testing conditions using only grid power, and the second analyses storage performance using solar energy through PV integration. The solar direct drive and the solar drive with battery support have been timed, revealing a holding period of 4 hours 46 minutes and 5 hours 29 minutes, respectively. The refrigerator's design criteria, prospective characteristics, and final design are all thoroughly highlighted. Finally, we conclude that this research will likely benefit the modelling and analysis of thermoelectric cooling systems.","PeriodicalId":23285,"journal":{"name":"Transactions of The Canadian Society for Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49190816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to study the evolution characteristics of corrugation in the vehicle braking section of metro, a three-dimensional wheel-rail transient contact finite element model is established, and the contact stick-slip characteristics and rail wear distribution features are analyzed. The results show that, under the braking condition, the interface has the stick-slip motion, indicating that the system is in the state of instability; the longitudinal relative slip is unevenly distributed, the peak position of the initial corrugation has a large longitudinal relative slip, and the transverse relative slip in the initial corrugation area is significantly larger than that in other areas, indicating that the initial corrugation will continue to develop and have a remarkable transverse wear trend. Under the non-braking condition, there is no stick-slip motion at the interface, and the longitudinal and transverse relative slip values are less than the corresponding results under the braking condition. The cause of corrugation in the vehicle braking section is the wheel-rail unstable stick-slip motion triggered by the vehicle braking, and the fixed operating mode of the train provides the wavelength-fixing condition for the development of the initial corrugation, which leads to its continuous deterioration.
{"title":"Analysis of Rail Corrugation Characteristics in the Vehicle Braking Section of Metro","authors":"Z. Wang, Y. Xu","doi":"10.1139/tcsme-2023-0078","DOIUrl":"https://doi.org/10.1139/tcsme-2023-0078","url":null,"abstract":"In order to study the evolution characteristics of corrugation in the vehicle braking section of metro, a three-dimensional wheel-rail transient contact finite element model is established, and the contact stick-slip characteristics and rail wear distribution features are analyzed. The results show that, under the braking condition, the interface has the stick-slip motion, indicating that the system is in the state of instability; the longitudinal relative slip is unevenly distributed, the peak position of the initial corrugation has a large longitudinal relative slip, and the transverse relative slip in the initial corrugation area is significantly larger than that in other areas, indicating that the initial corrugation will continue to develop and have a remarkable transverse wear trend. Under the non-braking condition, there is no stick-slip motion at the interface, and the longitudinal and transverse relative slip values are less than the corresponding results under the braking condition. The cause of corrugation in the vehicle braking section is the wheel-rail unstable stick-slip motion triggered by the vehicle braking, and the fixed operating mode of the train provides the wavelength-fixing condition for the development of the initial corrugation, which leads to its continuous deterioration.","PeriodicalId":23285,"journal":{"name":"Transactions of The Canadian Society for Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41660559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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