Pub Date : 2022-11-18DOI: 10.1109/WCMEIM56910.2022.10021343
Hengshuai Guo, Changzhong Wu, Xiaoyong Li, Guitao Wang
This research is based on the existing programmable logic controller (PLC), induction device, driving device and transmission device, to develop a convenient, multi-purpose, integrated automatic door control system for ceramic pipe fittings production line. With the growing development of industrial enterprises, for large industrial warehouses and production lines, in order to ensure the efficiency, reliability and security of goods storage and production, the intelligence of automatic doors in production lines is more important. The main working principle of the automatic door control system of the ceramic pipe fitting production line is that the sensing device sends the detected situation to the PLC, and the PLC makes a judgment based on the collected information, and then sends out the corresponding control signal to make the driving device run accordingly. Finally, the driving device drives the door to complete the task of automatic door control material transportation.
{"title":"Automatic Door Control System of Ceramic Pipe Fitting Production Line Based on PLC","authors":"Hengshuai Guo, Changzhong Wu, Xiaoyong Li, Guitao Wang","doi":"10.1109/WCMEIM56910.2022.10021343","DOIUrl":"https://doi.org/10.1109/WCMEIM56910.2022.10021343","url":null,"abstract":"This research is based on the existing programmable logic controller (PLC), induction device, driving device and transmission device, to develop a convenient, multi-purpose, integrated automatic door control system for ceramic pipe fittings production line. With the growing development of industrial enterprises, for large industrial warehouses and production lines, in order to ensure the efficiency, reliability and security of goods storage and production, the intelligence of automatic doors in production lines is more important. The main working principle of the automatic door control system of the ceramic pipe fitting production line is that the sensing device sends the detected situation to the PLC, and the PLC makes a judgment based on the collected information, and then sends out the corresponding control signal to make the driving device run accordingly. Finally, the driving device drives the door to complete the task of automatic door control material transportation.","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":"128384321","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/WCMEIM56910.2022.10021467
Md Bilash Mehedi, L. Tan
Shot peening process is done by a number of high-speed shots striking the surface of the workpiece which generates a compressive stress field on the surface, that prevents fatigue cracks from initiating and propagating and makes the workpiece last longer. Tensile stress usually forms in metal parts during the machining, casting, and other metal working process, it is known that tensile stress decreases the service life of machined parts, so shot peening enhances machined parts life by inducing negative compressive stress. This research presents a three-dimensional finite element dynamic and static analysis of a shot hitting a metal target plate and how the shot-peening process affects several key parameters such as shot speed, shot size, and shot angle. The finite element program ABAQUS 2017 is applied to simulate the technique that is used in the experiments. The shape of the target plate is considered deformable plate that is 1 mm by 1 mm by 0.3 mm and the size of the shot was between 0.2 mm to 0.4 mm. It is assumed that shot is completely spherical, discrete, and rigid, and mass is in the center of it. The material utilized for the model was a GH4169 superalloy which is mostly used in aeronautical industry, and the shots here utilized has ceramics property. The findings of the ABAQUS simulation demonstrated that, when shot velocity, shot size, and incident angle increased, the amplitude and depth of the residual stress field that is formed in the target plate also increased. This work also indicates the proposed finite element analysis has capability of investigating the influence of various parameters on the shot peening process.
{"title":"Simulation of Shot Peening Process For GH4169 Superalloy","authors":"Md Bilash Mehedi, L. Tan","doi":"10.1109/WCMEIM56910.2022.10021467","DOIUrl":"https://doi.org/10.1109/WCMEIM56910.2022.10021467","url":null,"abstract":"Shot peening process is done by a number of high-speed shots striking the surface of the workpiece which generates a compressive stress field on the surface, that prevents fatigue cracks from initiating and propagating and makes the workpiece last longer. Tensile stress usually forms in metal parts during the machining, casting, and other metal working process, it is known that tensile stress decreases the service life of machined parts, so shot peening enhances machined parts life by inducing negative compressive stress. This research presents a three-dimensional finite element dynamic and static analysis of a shot hitting a metal target plate and how the shot-peening process affects several key parameters such as shot speed, shot size, and shot angle. The finite element program ABAQUS 2017 is applied to simulate the technique that is used in the experiments. The shape of the target plate is considered deformable plate that is 1 mm by 1 mm by 0.3 mm and the size of the shot was between 0.2 mm to 0.4 mm. It is assumed that shot is completely spherical, discrete, and rigid, and mass is in the center of it. The material utilized for the model was a GH4169 superalloy which is mostly used in aeronautical industry, and the shots here utilized has ceramics property. The findings of the ABAQUS simulation demonstrated that, when shot velocity, shot size, and incident angle increased, the amplitude and depth of the residual stress field that is formed in the target plate also increased. This work also indicates the proposed finite element analysis has capability of investigating the influence of various parameters on the shot peening process.","PeriodicalId":202270,"journal":{"name":"2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)","volume":"37 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":"127373628","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}
The spread of disinformation can easily bring serious consequences for society. This means the detection of disinformation cannot be ignored. Current research on multimodal disinformation detection tends to ignore the influence of propagation structure. Therefore, this paper proposes a multimodal disinformation detection method based on text, images and the propagation structure, which learns new text structure features from a heterogeneous graphical model based on global-local relationships and then splices the new text structure features with traditional text auxiliary features. Finally, the picture features are combined with the text features obtained after the splicing to obtain the multimodal joint representation. The experimental results show that our model has higher accuracy and stronger generalization ability compared with the related multimodal models on the microblogging dataset.
{"title":"Multimodal Disinformation Detection with Joint Propagation Structure","authors":"Shenwu Zhangl, Xinyang Ding, Weiguang Liu, Hailong Zhao","doi":"10.1109/WCMEIM56910.2022.10021386","DOIUrl":"https://doi.org/10.1109/WCMEIM56910.2022.10021386","url":null,"abstract":"The spread of disinformation can easily bring serious consequences for society. This means the detection of disinformation cannot be ignored. Current research on multimodal disinformation detection tends to ignore the influence of propagation structure. Therefore, this paper proposes a multimodal disinformation detection method based on text, images and the propagation structure, which learns new text structure features from a heterogeneous graphical model based on global-local relationships and then splices the new text structure features with traditional text auxiliary features. Finally, the picture features are combined with the text features obtained after the splicing to obtain the multimodal joint representation. The experimental results show that our model has higher accuracy and stronger generalization ability compared with the related multimodal models on the microblogging dataset.","PeriodicalId":202270,"journal":{"name":"2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)","volume":"46 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":"130148107","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/WCMEIM56910.2022.10021409
Shuxia Zhang, Shouxia Zhao, Zhen Zhang, Xianling Liu, Tao Yu, Simeng Zuo, Wei-Ming Yuan, Hongtai Zhang, Jun Zhou, Lei Zhang
Condensate regulating valve is a key equipment to maintain the water level of deaerator and regulate the pressure of mother tube, which plays an important role in nuclear power operation. A nuclear power condensate double valve group as the research object, through the three-dimensional flow field of non-constant simulation, the double valve synchronous adjustment under the opening on the internal flow field changes, energy dissipation process and noise characteristics of the condensate valve group, and the flow field simulation results as the applied load, the use of finite element simulation method for structural strength analysis and modal vibration study of the valve body. The results show that: the multi-stage sleeve orifice structure is the main throttling and pressure reducing element in the valve, and there is a large velocity and pressure gradient inside; as the valve opening increases, the maximum velocity, turbulence and noise position inside the valve are gradually clustered upward from the bottom of the sleeve, and the value gradually decreases; the excitation load along the main flow direction inside the valve causes the largest local deformation of the sleeve, and the long-term operation may be the main cause of sleeve fatigue fracture cause.
{"title":"Study of Flow Field Characteristics Under Simultaneous Regulation of Dual Valve Sets for Conventional Island Condensate","authors":"Shuxia Zhang, Shouxia Zhao, Zhen Zhang, Xianling Liu, Tao Yu, Simeng Zuo, Wei-Ming Yuan, Hongtai Zhang, Jun Zhou, Lei Zhang","doi":"10.1109/WCMEIM56910.2022.10021409","DOIUrl":"https://doi.org/10.1109/WCMEIM56910.2022.10021409","url":null,"abstract":"Condensate regulating valve is a key equipment to maintain the water level of deaerator and regulate the pressure of mother tube, which plays an important role in nuclear power operation. A nuclear power condensate double valve group as the research object, through the three-dimensional flow field of non-constant simulation, the double valve synchronous adjustment under the opening on the internal flow field changes, energy dissipation process and noise characteristics of the condensate valve group, and the flow field simulation results as the applied load, the use of finite element simulation method for structural strength analysis and modal vibration study of the valve body. The results show that: the multi-stage sleeve orifice structure is the main throttling and pressure reducing element in the valve, and there is a large velocity and pressure gradient inside; as the valve opening increases, the maximum velocity, turbulence and noise position inside the valve are gradually clustered upward from the bottom of the sleeve, and the value gradually decreases; the excitation load along the main flow direction inside the valve causes the largest local deformation of the sleeve, and the long-term operation may be the main cause of sleeve fatigue fracture cause.","PeriodicalId":202270,"journal":{"name":"2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)","volume":"4 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":"130173656","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/WCMEIM56910.2022.10021396
Changwei Zhao, Zhongyong Liu, Yucheng Qian, L. Mao
It is of great significance to perform high voltage shunt reactor (HVSR) fault diagnosis and take appropriate action to strengthen HVSR reliability and durability. In general, vibration signal is commonly used for HVSR fault diagnosis. However, with development of HVSR faults like internal screw bolt loose, its vibration signal will show subtle difference, and only limited studies have been devoted to identify various fault degree. In this paper, a novel densely connected neural network defined as Incep-DenseNet is proposed for diagnosing various HVSR internal screw bolt loose faults, which integrates advantages of InceptionNet and DenseNet to extract more specific and robust features from HVSR vibration signal. In the analysis, the collected HVSR vibration signal is transformed into 2D image data, which is then used to train the Incep-DenseNet. Results demonstrate that with the trained Incep-DenseNet, the diagnostic accuracy for four different HVSR internal screw bolt loose faults can reach 94.7%.
{"title":"Vibration-Based High Voltage Shunt Reactor Fault Diagnosis with Incep-DenseNet","authors":"Changwei Zhao, Zhongyong Liu, Yucheng Qian, L. Mao","doi":"10.1109/WCMEIM56910.2022.10021396","DOIUrl":"https://doi.org/10.1109/WCMEIM56910.2022.10021396","url":null,"abstract":"It is of great significance to perform high voltage shunt reactor (HVSR) fault diagnosis and take appropriate action to strengthen HVSR reliability and durability. In general, vibration signal is commonly used for HVSR fault diagnosis. However, with development of HVSR faults like internal screw bolt loose, its vibration signal will show subtle difference, and only limited studies have been devoted to identify various fault degree. In this paper, a novel densely connected neural network defined as Incep-DenseNet is proposed for diagnosing various HVSR internal screw bolt loose faults, which integrates advantages of InceptionNet and DenseNet to extract more specific and robust features from HVSR vibration signal. In the analysis, the collected HVSR vibration signal is transformed into 2D image data, which is then used to train the Incep-DenseNet. Results demonstrate that with the trained Incep-DenseNet, the diagnostic accuracy for four different HVSR internal screw bolt loose faults can reach 94.7%.","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":"130698073","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/WCMEIM56910.2022.10021538
Zhang Yunqiang, Wu Dinghai, Wang Huaiguang, Lin Xiaolei
Aiming at the problem of early weak fault diagnosis for rolling bearings, an early fault diagnosis method based on time-domain marginal spectrum of S transform and successive variational mode decomposition(SVMD) is proposed. Firstly, the S transform is used to process the bearing fault signal and the time-domain marginal spectrum is extracted. Then time-domain marginal spectrum S transform is decomposed adaptively by using SVMD and the IMF components which are close to the bearing fault feature frequency are automatically selected for reconstruction. Finally, spectrum analysis of the reconstructed time-domain marginal spectrum of S transform is employed to realize bearing fault diagnosis. Experimental results show that the proposed method can extract weak fault feature components effectively, thereby significantly improving early fault diagnosis accuracy for rolling bearings.
{"title":"Early fault diagnosis method based on time-domain marginal spectrum of S transform and SVMD for rolling bearings","authors":"Zhang Yunqiang, Wu Dinghai, Wang Huaiguang, Lin Xiaolei","doi":"10.1109/WCMEIM56910.2022.10021538","DOIUrl":"https://doi.org/10.1109/WCMEIM56910.2022.10021538","url":null,"abstract":"Aiming at the problem of early weak fault diagnosis for rolling bearings, an early fault diagnosis method based on time-domain marginal spectrum of S transform and successive variational mode decomposition(SVMD) is proposed. Firstly, the S transform is used to process the bearing fault signal and the time-domain marginal spectrum is extracted. Then time-domain marginal spectrum S transform is decomposed adaptively by using SVMD and the IMF components which are close to the bearing fault feature frequency are automatically selected for reconstruction. Finally, spectrum analysis of the reconstructed time-domain marginal spectrum of S transform is employed to realize bearing fault diagnosis. Experimental results show that the proposed method can extract weak fault feature components effectively, thereby significantly improving early fault diagnosis accuracy for rolling bearings.","PeriodicalId":202270,"journal":{"name":"2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)","volume":"59 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":"128996926","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/WCMEIM56910.2022.10021486
Zelin Sun
This study is mainly about the designation of a new type of Haptic Device and a new control algorithm on asymmetric teleoperation robots system. Aiming at the problems of tracking and transparency of the asymmetric teleoperation system, An new Adaptive Fuzzy & CMAC NN control algorithm was proposed. The Haptic Device was chosen as master-Robot of the system. Baxter dual-arm robot was chosen as slave-Robot of the system. The simulation experiment of Heterogeneous Teleoperation System Based on Adaptive Fuzzy & CMAC NN was carried out. The experiment results showed that the maximum values of displacement tracking errors in three directions x,y,z are 0.02m, 0.01m, 0.01m respectively. Compared with Adaptive Fuzzy control, the performance of the new control algorithm is improved. The force feedback experiment on real asymmetric teleoperation robot system was carried out. The results showed that the force feedback wave is consistent with the actual situation and showed that the Adaptive Fuzzy & CMAC NN control algorithm proposed is superior to Adaptive Fuzzy control algorithm. Therefore, the new algorithm perfectly satisfied the system. The experiment parameters also demonstrates the Haptic Device satisfies the design requirements of the asymmetric teleoperation robots system and the industry standards.
{"title":"Force/PositionControl of Heterogeneous Teleoperation System Based on Adaptive Fuzzy& CMAC NN","authors":"Zelin Sun","doi":"10.1109/WCMEIM56910.2022.10021486","DOIUrl":"https://doi.org/10.1109/WCMEIM56910.2022.10021486","url":null,"abstract":"This study is mainly about the designation of a new type of Haptic Device and a new control algorithm on asymmetric teleoperation robots system. Aiming at the problems of tracking and transparency of the asymmetric teleoperation system, An new Adaptive Fuzzy & CMAC NN control algorithm was proposed. The Haptic Device was chosen as master-Robot of the system. Baxter dual-arm robot was chosen as slave-Robot of the system. The simulation experiment of Heterogeneous Teleoperation System Based on Adaptive Fuzzy & CMAC NN was carried out. The experiment results showed that the maximum values of displacement tracking errors in three directions x,y,z are 0.02m, 0.01m, 0.01m respectively. Compared with Adaptive Fuzzy control, the performance of the new control algorithm is improved. The force feedback experiment on real asymmetric teleoperation robot system was carried out. The results showed that the force feedback wave is consistent with the actual situation and showed that the Adaptive Fuzzy & CMAC NN control algorithm proposed is superior to Adaptive Fuzzy control algorithm. Therefore, the new algorithm perfectly satisfied the system. The experiment parameters also demonstrates the Haptic Device satisfies the design requirements of the asymmetric teleoperation robots system and the industry standards.","PeriodicalId":202270,"journal":{"name":"2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)","volume":"15 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":"115951450","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/WCMEIM56910.2022.10021372
Liang Du, Guojin Zhang, Yong Cheng, Xiushan Shi
HAZOP analysis as a qualitative method can better identify the potential risks in the early design stage and in-service stage of the device. However, it is greatly influenced by the subjective factors of the appraisers during the assessment, which has a great impact on the accuracy and effectiveness of the risk assessment results. A semi quantitative compound risk assessment method (HALOPA method) is used to study the possible problems in the process flow and safety protection system of typical domestic diesel hydrogenation units. Taking the failure scenario of deoxygenated water pump as an example, the protective layer analysis method (HALOPA analysis) is adopted. On the basis of calculating the frequency of failure scenario and considering the acceptable risk standards of enterprises, the suggestions for improving the current independent safety protection layer and its safety integrity level (SIL) are put forward. The analysis results show that there are some shortcomings in existing process control, interlock protection, alarm setting and other protection measures of diesel hydro fining unit. The composite risk assessment method (HALOPA method) is of positive significance for effectively discovering and eliminating potential safety hazards in the operation process of the unit and ensuring safety in production.
{"title":"Safety analysis of diesel hydrogenation unit based on a semi-quantitative risk assessment method","authors":"Liang Du, Guojin Zhang, Yong Cheng, Xiushan Shi","doi":"10.1109/WCMEIM56910.2022.10021372","DOIUrl":"https://doi.org/10.1109/WCMEIM56910.2022.10021372","url":null,"abstract":"HAZOP analysis as a qualitative method can better identify the potential risks in the early design stage and in-service stage of the device. However, it is greatly influenced by the subjective factors of the appraisers during the assessment, which has a great impact on the accuracy and effectiveness of the risk assessment results. A semi quantitative compound risk assessment method (HALOPA method) is used to study the possible problems in the process flow and safety protection system of typical domestic diesel hydrogenation units. Taking the failure scenario of deoxygenated water pump as an example, the protective layer analysis method (HALOPA analysis) is adopted. On the basis of calculating the frequency of failure scenario and considering the acceptable risk standards of enterprises, the suggestions for improving the current independent safety protection layer and its safety integrity level (SIL) are put forward. The analysis results show that there are some shortcomings in existing process control, interlock protection, alarm setting and other protection measures of diesel hydro fining unit. The composite risk assessment method (HALOPA method) is of positive significance for effectively discovering and eliminating potential safety hazards in the operation process of the unit and ensuring safety in production.","PeriodicalId":202270,"journal":{"name":"2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)","volume":"352 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":"115980251","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/WCMEIM56910.2022.10021430
Niu Niu, Yongming Wang, Libin Tan
Traditional ore size detection algorithms are mainly machine vision-based ore image segmentation algorithms, which cannot meet the requirements of the industry in terms of accuracy and real-time. Therefore, this paper proposed a deep learning network model based on YOLOv5 for real-time detection of ore particle size. The location of the ore bounding box and its width and height information were output from the YOLOv5 network model, and then the FERET particle size of the ore was extracted. The cumulative error rate between the final particle size distribution detection results and the actual distribution was less than 3%, and the performance was good.
{"title":"Detection Method of Ore Particle Size Distribution Based on YOLOv5","authors":"Niu Niu, Yongming Wang, Libin Tan","doi":"10.1109/WCMEIM56910.2022.10021430","DOIUrl":"https://doi.org/10.1109/WCMEIM56910.2022.10021430","url":null,"abstract":"Traditional ore size detection algorithms are mainly machine vision-based ore image segmentation algorithms, which cannot meet the requirements of the industry in terms of accuracy and real-time. Therefore, this paper proposed a deep learning network model based on YOLOv5 for real-time detection of ore particle size. The location of the ore bounding box and its width and height information were output from the YOLOv5 network model, and then the FERET particle size of the ore was extracted. The cumulative error rate between the final particle size distribution detection results and the actual distribution was less than 3%, and the performance was good.","PeriodicalId":202270,"journal":{"name":"2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)","volume":"154 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":"121520367","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/WCMEIM56910.2022.10021341
Hongpeng Lv, Yang Sun, Shuowei Bai, Jirong Wang, Junwei Ju
In order to assess the carbon footprint of a saw blade throughout its life cycle, a new carbon footprint LCA assessment method applied to the conceptual design phase is proposed. In this paper, the concepts of product system features and individual features are proposed to describe the layer-by-layer constraint relationships between saw blade parts. A design feature-based representation model of a saw blade design solution is developed. The correlation between the whole-life carbon emissions of sawblades and design features is analyzed, a carbon footprint calculation method based on design features is proposed, and a sawblade whole-life carbon footprint assessment model is established. Taking a TC350 model saw blade as an example, the feasibility of the proposed method is verified by calculating and analyzing its whole-life carbon footprint.
{"title":"Full life cycle carbon footprint assessment of circular saw blades based on design feature modelling","authors":"Hongpeng Lv, Yang Sun, Shuowei Bai, Jirong Wang, Junwei Ju","doi":"10.1109/WCMEIM56910.2022.10021341","DOIUrl":"https://doi.org/10.1109/WCMEIM56910.2022.10021341","url":null,"abstract":"In order to assess the carbon footprint of a saw blade throughout its life cycle, a new carbon footprint LCA assessment method applied to the conceptual design phase is proposed. In this paper, the concepts of product system features and individual features are proposed to describe the layer-by-layer constraint relationships between saw blade parts. A design feature-based representation model of a saw blade design solution is developed. The correlation between the whole-life carbon emissions of sawblades and design features is analyzed, a carbon footprint calculation method based on design features is proposed, and a sawblade whole-life carbon footprint assessment model is established. Taking a TC350 model saw blade as an example, the feasibility of the proposed method is verified by calculating and analyzing its whole-life carbon footprint.","PeriodicalId":202270,"journal":{"name":"2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)","volume":"22 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":"125331133","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：