Pub Date : 2022-11-18DOI: 10.1109/WCMEIM56910.2022.10021383
Qing Zhu, Yitian Li, Qingyun Liu, Mengqian Tian
Considering the drawbacks of existing soft actuators used in narrow unstructured space, such as lower expansion ratio and smaller driving force, a soft actuator with high stretch-draw ratio is designed in this paper. Based on TPU(Thermoplastic polyurethanes) airbags, the actuator is designed by the use of nested structure combined with rope mechanism, which achieves a large expansion ratio (115%) on the premise of ensuring the rest size of the actuator. Then, according to the structural characteristics of the actuator, the static driving characteristics of TPU airbag and rope mechanism of the actuator are deduced by analytical and geometric methods. So the static model of output force of the actuator is obtained. Finally, a modeling method of using displacement-driven variable load instead of rope mechanism to construct simulation model is proposed. This research lays the foundation for the follow-up study of the actuator's dynamic characteristics and control strategy.
{"title":"Design and Analysis of a Novel Soft Actuator with High Contraction Ratio Based on Nested Structure","authors":"Qing Zhu, Yitian Li, Qingyun Liu, Mengqian Tian","doi":"10.1109/WCMEIM56910.2022.10021383","DOIUrl":"https://doi.org/10.1109/WCMEIM56910.2022.10021383","url":null,"abstract":"Considering the drawbacks of existing soft actuators used in narrow unstructured space, such as lower expansion ratio and smaller driving force, a soft actuator with high stretch-draw ratio is designed in this paper. Based on TPU(Thermoplastic polyurethanes) airbags, the actuator is designed by the use of nested structure combined with rope mechanism, which achieves a large expansion ratio (115%) on the premise of ensuring the rest size of the actuator. Then, according to the structural characteristics of the actuator, the static driving characteristics of TPU airbag and rope mechanism of the actuator are deduced by analytical and geometric methods. So the static model of output force of the actuator is obtained. Finally, a modeling method of using displacement-driven variable load instead of rope mechanism to construct simulation model is proposed. This research lays the foundation for the follow-up study of the actuator's dynamic characteristics and control strategy.","PeriodicalId":202270,"journal":{"name":"2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)","volume":"108 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113969411","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}
Pub Date : 2022-11-18DOI: 10.1109/WCMEIM56910.2022.10021446
Feng Zhenwei, Hu Yongqiang, Chang Jing, Cui Yufu
The ultra-low orbit spacecraft has the advantages of high resolution, easy de-orbit and low launch cost. Although that atmospheric density at this height is only 10–11 to 10-9kg/m3, the aerodynamic drag acting on the satellite can be millinewton or even Newton, which is the main reason for the fall of the ultra-low orbit spacecraft. In this paper, the method of aerodynamic drag estimation for the ultra-low orbit spacecraft is given, and the influence factors of aerodynamic drag are analysed, the calculation formula of drag coefficient is emphatically derived, and the influence factors of drag coefficient are studied. The drag coefficients under the conditions of typical orbit and space environment are given. In order to reduce the drag, the SLO spacecraft should be designed as a slender body configuration, and at this time, the drag effect brought by the side cannot be ignored, which should be paid more attention to in the overall configuration and layout design of the spacecraft.
{"title":"Aerodynamic drag estimation of ultra-low orbit spacecraft","authors":"Feng Zhenwei, Hu Yongqiang, Chang Jing, Cui Yufu","doi":"10.1109/WCMEIM56910.2022.10021446","DOIUrl":"https://doi.org/10.1109/WCMEIM56910.2022.10021446","url":null,"abstract":"The ultra-low orbit spacecraft has the advantages of high resolution, easy de-orbit and low launch cost. Although that atmospheric density at this height is only 10–11 to 10-9kg/m3, the aerodynamic drag acting on the satellite can be millinewton or even Newton, which is the main reason for the fall of the ultra-low orbit spacecraft. In this paper, the method of aerodynamic drag estimation for the ultra-low orbit spacecraft is given, and the influence factors of aerodynamic drag are analysed, the calculation formula of drag coefficient is emphatically derived, and the influence factors of drag coefficient are studied. The drag coefficients under the conditions of typical orbit and space environment are given. In order to reduce the drag, the SLO spacecraft should be designed as a slender body configuration, and at this time, the drag effect brought by the side cannot be ignored, which should be paid more attention to in the overall configuration and layout design of the spacecraft.","PeriodicalId":202270,"journal":{"name":"2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)","volume":"338 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122439863","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}
In view of the limited production caused by the long debugging period of the pipe bending machine, it is necessary to develop a 3D pipe model display system to assist the technical personnel to debug the pipe bending machine. Because OpenGL technology has the advanced ability of modeling, illumination, transformation and color processing, it can reduce the development cost of pipe bending machine. Therefore, this paper takes 3D pipe fittings as the research object, uses OpenGL technology and Visual C++ programming language to develop a 3D pipe fitting model display system, and realizes the visualization of 3D pipe fitting model. In order to reduce the workload, the model is established by professional 3D modeling software 3DS MAX software, and then rendered and controlled by OpenGL technology. The results show that the real-time rendering of the 3D model observation imaging rendering and good human-computer interaction control function can be realized.
{"title":"Control and Visualization of 3D Pipe Model Based on OpenGL","authors":"Hongtao Han, Bing Li, Yunhao Fu, Ting Wang, Liangrui Zhang, Yulan Wei","doi":"10.1109/WCMEIM56910.2022.10021528","DOIUrl":"https://doi.org/10.1109/WCMEIM56910.2022.10021528","url":null,"abstract":"In view of the limited production caused by the long debugging period of the pipe bending machine, it is necessary to develop a 3D pipe model display system to assist the technical personnel to debug the pipe bending machine. Because OpenGL technology has the advanced ability of modeling, illumination, transformation and color processing, it can reduce the development cost of pipe bending machine. Therefore, this paper takes 3D pipe fittings as the research object, uses OpenGL technology and Visual C++ programming language to develop a 3D pipe fitting model display system, and realizes the visualization of 3D pipe fitting model. In order to reduce the workload, the model is established by professional 3D modeling software 3DS MAX software, and then rendered and controlled by OpenGL technology. The results show that the real-time rendering of the 3D model observation imaging rendering and good human-computer interaction control function can be realized.","PeriodicalId":202270,"journal":{"name":"2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121045064","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}
Pub Date : 2022-11-18DOI: 10.1109/WCMEIM56910.2022.10021569
Shuo Wang, Ruihua Chen, Zhiming Huang, Han Jing, Xisen Wang
The normal operation of substation equipment requires higher ground settlement and differential settlement. This paper combines BeiDou high-precision positioning technology with InSAR technology, and proposes BeiDou+PS-InSAR technology to realize the monitoring of substation geological subsidence. This paper first uses BeiDou high-precision positioning technology to obtain the characteristic information of substation geological deformation displacement, and then analyzes the trend and law of substation geological deformation. Secondly, the phase of PS target is modeled and solved by using PS-INSAR technology, the nonlinear deformation, atmospheric delay and the phase of orbit error is separated by space-time filtering method. Finally, the deformation time series at each PS point can be obtained by superposing linear and nonlinear deformation. The BeiDou+PS-InSAR technology proposed in this paper can continuously monitor the high risk points of geological subsidence in substations in real time and give early warning when geological anomalies occur in substations.
{"title":"Beidou+PS-InSAR Technology for Substation Geological Subsidence Monitoring and Early Warning Research","authors":"Shuo Wang, Ruihua Chen, Zhiming Huang, Han Jing, Xisen Wang","doi":"10.1109/WCMEIM56910.2022.10021569","DOIUrl":"https://doi.org/10.1109/WCMEIM56910.2022.10021569","url":null,"abstract":"The normal operation of substation equipment requires higher ground settlement and differential settlement. This paper combines BeiDou high-precision positioning technology with InSAR technology, and proposes BeiDou+PS-InSAR technology to realize the monitoring of substation geological subsidence. This paper first uses BeiDou high-precision positioning technology to obtain the characteristic information of substation geological deformation displacement, and then analyzes the trend and law of substation geological deformation. Secondly, the phase of PS target is modeled and solved by using PS-INSAR technology, the nonlinear deformation, atmospheric delay and the phase of orbit error is separated by space-time filtering method. Finally, the deformation time series at each PS point can be obtained by superposing linear and nonlinear deformation. The BeiDou+PS-InSAR technology proposed in this paper can continuously monitor the high risk points of geological subsidence in substations in real time and give early warning when geological anomalies occur in substations.","PeriodicalId":202270,"journal":{"name":"2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123054434","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}
Pub Date : 2022-11-18DOI: 10.1109/WCMEIM56910.2022.10021356
Shuqi Niu, Zhao Zhang, Xintong Tian, Xueyan Zhao
The improved kernel fuzzy clustering method is used to classify the load data of the smart grid accurately. It lays a good foundation for the subsequent work of power load forecasting and provides a more efficient, safe, and reliable direction for the operation of the power system. Firstly, the collected power load data is preprocessed to reduce data redundancy and improve data quality. Secondly, the kernel fuzzy C-means clustering algorithm based on particle swarm optimization is used to cluster the load data with the same power consumption characteristics. Finally, the improved kernel fuzzy clustering method is compared with the fuzzy C-means clustering method through a simulation example to verify the effectiveness of this method.
{"title":"Improved Kernel Fuzzy C-Means Clustering Method Based on Smart Grid","authors":"Shuqi Niu, Zhao Zhang, Xintong Tian, Xueyan Zhao","doi":"10.1109/WCMEIM56910.2022.10021356","DOIUrl":"https://doi.org/10.1109/WCMEIM56910.2022.10021356","url":null,"abstract":"The improved kernel fuzzy clustering method is used to classify the load data of the smart grid accurately. It lays a good foundation for the subsequent work of power load forecasting and provides a more efficient, safe, and reliable direction for the operation of the power system. Firstly, the collected power load data is preprocessed to reduce data redundancy and improve data quality. Secondly, the kernel fuzzy C-means clustering algorithm based on particle swarm optimization is used to cluster the load data with the same power consumption characteristics. Finally, the improved kernel fuzzy clustering method is compared with the fuzzy C-means clustering method through a simulation example to verify the effectiveness of this method.","PeriodicalId":202270,"journal":{"name":"2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123337501","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}
Pub Date : 2022-11-18DOI: 10.1109/WCMEIM56910.2022.10021481
Zechao Shangguan, Shukun Cao, Chong Cao, Hongbin Wang
When the grain combine harvester is running in the field, it is easy for the corn harvester to fail due to the different density of crops, uneven roads, complex external environment, etc., so it is particularly important to monitor the components of the corn harvester. This paper designs an intelligent operation and maintenance system of grain combine based on STM32 and Onenet platform, which takes STM32 as the monitoring core and realizes real-time monitoring of grain combine operating parameters.fault diagnosis and data during operation are uploaded to Onenet platform and controlled by STM32 to ensure the stable operation of grain combine. It also facilitates the driver to know the operation state of the grain combine through the screen, facilitates remote monitoring and improves the level of intelligence.
{"title":"Intelligent Operation and Maintenance System of Grain Combine Harvester Based on STM32 and Onenet Platform","authors":"Zechao Shangguan, Shukun Cao, Chong Cao, Hongbin Wang","doi":"10.1109/WCMEIM56910.2022.10021481","DOIUrl":"https://doi.org/10.1109/WCMEIM56910.2022.10021481","url":null,"abstract":"When the grain combine harvester is running in the field, it is easy for the corn harvester to fail due to the different density of crops, uneven roads, complex external environment, etc., so it is particularly important to monitor the components of the corn harvester. This paper designs an intelligent operation and maintenance system of grain combine based on STM32 and Onenet platform, which takes STM32 as the monitoring core and realizes real-time monitoring of grain combine operating parameters.fault diagnosis and data during operation are uploaded to Onenet platform and controlled by STM32 to ensure the stable operation of grain combine. It also facilitates the driver to know the operation state of the grain combine through the screen, facilitates remote monitoring and improves the level of intelligence.","PeriodicalId":202270,"journal":{"name":"2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127351582","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}
Pub Date : 2022-11-18DOI: 10.1109/WCMEIM56910.2022.10021431
X. Xiao, Zou Zuxu, Deng Qian
This paper mainly introduces the design and manufacture of an intelligent car with gyroscope orientation and automatic obstacle avoidance function; The vehicle is driven by DC motor and its control circuit, STC89C52RC single-chip microcomputer is the control core of the system, and MPU6050 six-axis gyroscope module is used to control the motor speed so that the car can drive according to the established line, and the infrared module is used to avoid obstacles automatically.
{"title":"Intelligent Car Production Based on Single-chip Microcomputer","authors":"X. Xiao, Zou Zuxu, Deng Qian","doi":"10.1109/WCMEIM56910.2022.10021431","DOIUrl":"https://doi.org/10.1109/WCMEIM56910.2022.10021431","url":null,"abstract":"This paper mainly introduces the design and manufacture of an intelligent car with gyroscope orientation and automatic obstacle avoidance function; The vehicle is driven by DC motor and its control circuit, STC89C52RC single-chip microcomputer is the control core of the system, and MPU6050 six-axis gyroscope module is used to control the motor speed so that the car can drive according to the established line, and the infrared module is used to avoid obstacles automatically.","PeriodicalId":202270,"journal":{"name":"2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129179761","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}
Pub Date : 2022-11-18DOI: 10.1109/WCMEIM56910.2022.10021498
Zhuangchao Zhan, Xingguo Han
Robots have the characteristics of perception, decision-making and execution, and are widely used in manufacturing. In practical production, mobile robots are increasingly widely used as the main part of material handling robots. Based on these reasons, this paper designs the 5 DOF material handling robot. The robot is loaded with Cortex-M3 kernel, which is composed of patrol module, mobile module, multifunctional module, task setting and image recognition. The tracking differentiator and PID algorithm are used for the velocity planning and control adjustment to improve movement stability and control accuracy of the robot. The experimental results show that the robot can complete the functions of autonomous patrol, material clamping and handling, task acquisition, color recognition and information display. It has the characteristics of small size, material grabbing, high degree of automation and simple maintenance. Its diversified functions can meet the dangerous and heavy handling tasks in production, and its high automation level can improve production efficiency.
{"title":"Design and Research of 5 DOF Material Handling Robot","authors":"Zhuangchao Zhan, Xingguo Han","doi":"10.1109/WCMEIM56910.2022.10021498","DOIUrl":"https://doi.org/10.1109/WCMEIM56910.2022.10021498","url":null,"abstract":"Robots have the characteristics of perception, decision-making and execution, and are widely used in manufacturing. In practical production, mobile robots are increasingly widely used as the main part of material handling robots. Based on these reasons, this paper designs the 5 DOF material handling robot. The robot is loaded with Cortex-M3 kernel, which is composed of patrol module, mobile module, multifunctional module, task setting and image recognition. The tracking differentiator and PID algorithm are used for the velocity planning and control adjustment to improve movement stability and control accuracy of the robot. The experimental results show that the robot can complete the functions of autonomous patrol, material clamping and handling, task acquisition, color recognition and information display. It has the characteristics of small size, material grabbing, high degree of automation and simple maintenance. Its diversified functions can meet the dangerous and heavy handling tasks in production, and its high automation level can improve production efficiency.","PeriodicalId":202270,"journal":{"name":"2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128944081","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}
Pub Date : 2022-11-18DOI: 10.1109/WCMEIM56910.2022.10021389
Hu Zheng, Libin Tan, Xiaoliu Yu
Aiming at the problem that the traditional fault diagnosis method is difficult to effectively extract the fault features of the high-speed train wheelset bearing signal, this paper proposes a fault diagnosis method based on the two-dimensional image method. First, the one-dimensional vibration signal is converted into a Two-dimensional grayscale image, eliminating the influence of expert experience on the feature extraction process. Then an improved network model is proposed, which can automate the process of feature extraction and fault diagnosis. Finally, this paper simulates the complex driving environment of high-speed trains by adding noise with different SNRs to the vibration signal and analyzes the influence of noise on the diagnostic ability of the method. The results show that the method is effective.
{"title":"A Fault Diagnosis Method for High-Speed Train Wheelset Bearings Based on Deep Learning","authors":"Hu Zheng, Libin Tan, Xiaoliu Yu","doi":"10.1109/WCMEIM56910.2022.10021389","DOIUrl":"https://doi.org/10.1109/WCMEIM56910.2022.10021389","url":null,"abstract":"Aiming at the problem that the traditional fault diagnosis method is difficult to effectively extract the fault features of the high-speed train wheelset bearing signal, this paper proposes a fault diagnosis method based on the two-dimensional image method. First, the one-dimensional vibration signal is converted into a Two-dimensional grayscale image, eliminating the influence of expert experience on the feature extraction process. Then an improved network model is proposed, which can automate the process of feature extraction and fault diagnosis. Finally, this paper simulates the complex driving environment of high-speed trains by adding noise with different SNRs to the vibration signal and analyzes the influence of noise on the diagnostic ability of the method. The results show that the method is effective.","PeriodicalId":202270,"journal":{"name":"2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129085964","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}
Pub Date : 2022-11-18DOI: 10.1109/WCMEIM56910.2022.10021388
Hao Yin, Jinhua Xiao, Guoxian Wang
The production and sales of new energy vehicles has brought the recycling needs of retired Electric Vehicle (EV) battery for sustainable and green resource utilization. The purpose of this paper is to provide solutions for uncertain disassembly of EV battery in flexible production workshops. In this paper, a novel human-robot collaborative flexible re-manufacturing system is proposed to deal with the difficulties for the uncertain disassembly and re-manufacturing process of EV-battery recycling. The uncertainty in the disassembly process are analyzed to build the architecture of human-robot collaboration disassembly system. The D-H parameter method was used to analyze the kinematics of collaboration robot and its control system. The trajectory planning of collaboration robot is performed using the Rapidly-exploring Random Tree (RRT) algorithm. The neural network YOLOv7 algorithm is used to support the depth vision-based system to improve the recognition accuracy and motion accuracy for disassembly process.
{"title":"Human-Robot Collaboration Re-Manufacturing for Uncertain Disassembly in Retired Battery Recycling","authors":"Hao Yin, Jinhua Xiao, Guoxian Wang","doi":"10.1109/WCMEIM56910.2022.10021388","DOIUrl":"https://doi.org/10.1109/WCMEIM56910.2022.10021388","url":null,"abstract":"The production and sales of new energy vehicles has brought the recycling needs of retired Electric Vehicle (EV) battery for sustainable and green resource utilization. The purpose of this paper is to provide solutions for uncertain disassembly of EV battery in flexible production workshops. In this paper, a novel human-robot collaborative flexible re-manufacturing system is proposed to deal with the difficulties for the uncertain disassembly and re-manufacturing process of EV-battery recycling. The uncertainty in the disassembly process are analyzed to build the architecture of human-robot collaboration disassembly system. The D-H parameter method was used to analyze the kinematics of collaboration robot and its control system. The trajectory planning of collaboration robot is performed using the Rapidly-exploring Random Tree (RRT) algorithm. The neural network YOLOv7 algorithm is used to support the depth vision-based system to improve the recognition accuracy and motion accuracy for disassembly process.","PeriodicalId":202270,"journal":{"name":"2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115344929","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}
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