An effective human resource development system is desirable for mass-production sites, such as sewing factories, which rely on skilled human resources. The manipulation of objects such as clothes, cushions, and stuffed toys during production can deform them, making it difficult to either transfer them directly among people or introduce automation technology to do it. In this study, considering this, we developed a demonstration-based teaching system. The proposed system presents a learner with an instructional video that overlays not only the posture of the skilled operator’s hand, but also the contact force. This allows the learner to know the manipulated part of the object, the employed hand posture, and the applied force, even if the occlusion problem occurs. The proposed system does not require learners to wear any auxiliary devices for receiving instructions while learning, making it highly convenient. We implemented the system and confirmed that it could successfully provide instructions for handling the issue of deformable object manipulation.
{"title":"A Demonstration-Based Instruction System for Handling Manipulation of Deformable Objects With Overlaying Hand Postures and Contact Forces","authors":"Yutaka Takase, Tomohiro Shintani, Kimitoshi Yamazaki","doi":"10.1109/ICMA57826.2023.10216154","DOIUrl":"https://doi.org/10.1109/ICMA57826.2023.10216154","url":null,"abstract":"An effective human resource development system is desirable for mass-production sites, such as sewing factories, which rely on skilled human resources. The manipulation of objects such as clothes, cushions, and stuffed toys during production can deform them, making it difficult to either transfer them directly among people or introduce automation technology to do it. In this study, considering this, we developed a demonstration-based teaching system. The proposed system presents a learner with an instructional video that overlays not only the posture of the skilled operator’s hand, but also the contact force. This allows the learner to know the manipulated part of the object, the employed hand posture, and the applied force, even if the occlusion problem occurs. The proposed system does not require learners to wear any auxiliary devices for receiving instructions while learning, making it highly convenient. We implemented the system and confirmed that it could successfully provide instructions for handling the issue of deformable object manipulation.","PeriodicalId":151364,"journal":{"name":"2023 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125552969","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}
Many clinical applications require medical image harmonization to combine and normalize images from different scanners or protocols. This paper introduces a Transformer-based MR image harmonization method. Our proposed method leverages the self-attention mechanism of the Transformer to learn the complex relationships between image patches and effectively transfer the imaging characteristics from a source image domain to a target image domain. We evaluate our approach to state-of-the-art methods using a publicly available dataset of brain MRI scans and show that it provides superior quantitative metrics and visual quality. Furthermore, we demonstrate that the proposed approach is highly resistant to fluctuations in image modality, resolution, and noise. Overall, the experiment results indicate that our approach is a promising method for medical image harmonization that can improve the accuracy and reliability of automated analysis and diagnosis in clinical settings.
{"title":"MR Image Harmonization with Transformer","authors":"Dong Han, Rui Yu, Shipeng Li, Junchang Wang, Yuzun Yang, Zhixun Zhao, Yiming Wei, Shan Cong","doi":"10.1109/ICMA57826.2023.10215948","DOIUrl":"https://doi.org/10.1109/ICMA57826.2023.10215948","url":null,"abstract":"Many clinical applications require medical image harmonization to combine and normalize images from different scanners or protocols. This paper introduces a Transformer-based MR image harmonization method. Our proposed method leverages the self-attention mechanism of the Transformer to learn the complex relationships between image patches and effectively transfer the imaging characteristics from a source image domain to a target image domain. We evaluate our approach to state-of-the-art methods using a publicly available dataset of brain MRI scans and show that it provides superior quantitative metrics and visual quality. Furthermore, we demonstrate that the proposed approach is highly resistant to fluctuations in image modality, resolution, and noise. Overall, the experiment results indicate that our approach is a promising method for medical image harmonization that can improve the accuracy and reliability of automated analysis and diagnosis in clinical settings.","PeriodicalId":151364,"journal":{"name":"2023 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125589521","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}
Pavement diseases have a negative impact on traffic safety and ride comfort. With the rapid development of autonomous vehicle, the demand for rapid and accurate detection of pavement diseases is becoming more and more urgent. Previous pavement detectors have the contradiction between accuracy and speed. To address the above issue, a pavement disease detection model based on YOLOv5 is proposed. To improve the detection accuracy, we combine SPPF with attention mechanism, decouple the YOLOv5 detection head and use depthwise separable convolution. By using K-means to adjust the anchors, the convergence process of the model is smoother. The strategy of label smoothing is used to improve the generalization ability. Experiments on RDD2020 data set show that our method improves the accuracy of pavement diseases detection compared with the original YOLOv5 under the premise of maintaining real-time performance. Also the detection performance is better than EfficientDet, Faster RCNN and other series.
{"title":"Pavement Diseases Detection Using Improved YOLOv5","authors":"Zhan-feng Huang, Xin Chen, Honghui Liu, Guoxu Qin, Bo Lu, Mingzhu Wei, Xiaomei Xie","doi":"10.1109/ICMA57826.2023.10216072","DOIUrl":"https://doi.org/10.1109/ICMA57826.2023.10216072","url":null,"abstract":"Pavement diseases have a negative impact on traffic safety and ride comfort. With the rapid development of autonomous vehicle, the demand for rapid and accurate detection of pavement diseases is becoming more and more urgent. Previous pavement detectors have the contradiction between accuracy and speed. To address the above issue, a pavement disease detection model based on YOLOv5 is proposed. To improve the detection accuracy, we combine SPPF with attention mechanism, decouple the YOLOv5 detection head and use depthwise separable convolution. By using K-means to adjust the anchors, the convergence process of the model is smoother. The strategy of label smoothing is used to improve the generalization ability. Experiments on RDD2020 data set show that our method improves the accuracy of pavement diseases detection compared with the original YOLOv5 under the premise of maintaining real-time performance. Also the detection performance is better than EfficientDet, Faster RCNN and other series.","PeriodicalId":151364,"journal":{"name":"2023 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126685371","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 : 2023-08-06DOI: 10.1109/ICMA57826.2023.10215561
Fan Yang, Enzeng Dong, Jigang Tong, Sen Yang, Shengzhi Du
We present a two-stage 3D object detection framework from point clouds, named Point Density-aware Channel-wise Transformer (PD-CT3D), which investigate the property of point density. This architecture uses 3D sparse CNN to effectively generate high-quality proposals at the first stage, then integrates the inherent property of point density and 3D CNN-based voxel features by density-aware proposal grid pooling. Specifically, each generated proposal from the first stage is divided into grids to aggregate corresponding voxel-wise features and raw point-based features for encoding the representative features from the whole scene. Subsequently, a channel-wise encoder-decoder transformer is adopted to extract the encoded density-aware features and decode them into a global representation for final refinement. Experiments on the widely used KITTI dataset show that the PD-CT3D achieves competitive performance among state-of-the-art methods.
{"title":"Point Density-aware Channel-wise Transformer for LiDAR 3D Object Detection","authors":"Fan Yang, Enzeng Dong, Jigang Tong, Sen Yang, Shengzhi Du","doi":"10.1109/ICMA57826.2023.10215561","DOIUrl":"https://doi.org/10.1109/ICMA57826.2023.10215561","url":null,"abstract":"We present a two-stage 3D object detection framework from point clouds, named Point Density-aware Channel-wise Transformer (PD-CT3D), which investigate the property of point density. This architecture uses 3D sparse CNN to effectively generate high-quality proposals at the first stage, then integrates the inherent property of point density and 3D CNN-based voxel features by density-aware proposal grid pooling. Specifically, each generated proposal from the first stage is divided into grids to aggregate corresponding voxel-wise features and raw point-based features for encoding the representative features from the whole scene. Subsequently, a channel-wise encoder-decoder transformer is adopted to extract the encoded density-aware features and decode them into a global representation for final refinement. Experiments on the widely used KITTI dataset show that the PD-CT3D achieves competitive performance among state-of-the-art methods.","PeriodicalId":151364,"journal":{"name":"2023 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126513366","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 : 2023-08-06DOI: 10.1109/ICMA57826.2023.10215695
Guihua Xia, Wenxu Zhu
In recent years, underactuated surface vehicle’s trajectory tracking has become an academic hotspot. Since the independent control input of the underactuated surface craft is less than the freedom of motion, the controller design of the underactuated surface craft is relatively difficult. In addition, the nonlinearity of the surface vehicle model and the unknown disturbance of the ocean environment also make the high-precision trajectory tracking control design more difficult. In this paper, firstly the trajectory tracking error is redefined benefiting from the output redefinition-based dynamic transformation (ORDT) to construct a relative order system and simplify the design process of control law. Secondly, a fixed-time sliding mode control (FTSMC) is designed, in which both surge and yaw control are designed in one vector to achieve a fixed-time bounded trajectory tracking error. Thirdly, a radial basis function-based neural network (RBFNN) is designed to estimate complex fluid damping, unknown marine environmental disturbances, and unmodeled dynamics, and the complexity of controller design is reduced by means of the minimum learned parameter method (MLP). At last, the validity of control method design is validated by numerical simulation.
{"title":"Fixed-time Trajectory Tracking Control for Underactuated Surface Vehicle Based on Sliding Mode and Neural Network","authors":"Guihua Xia, Wenxu Zhu","doi":"10.1109/ICMA57826.2023.10215695","DOIUrl":"https://doi.org/10.1109/ICMA57826.2023.10215695","url":null,"abstract":"In recent years, underactuated surface vehicle’s trajectory tracking has become an academic hotspot. Since the independent control input of the underactuated surface craft is less than the freedom of motion, the controller design of the underactuated surface craft is relatively difficult. In addition, the nonlinearity of the surface vehicle model and the unknown disturbance of the ocean environment also make the high-precision trajectory tracking control design more difficult. In this paper, firstly the trajectory tracking error is redefined benefiting from the output redefinition-based dynamic transformation (ORDT) to construct a relative order system and simplify the design process of control law. Secondly, a fixed-time sliding mode control (FTSMC) is designed, in which both surge and yaw control are designed in one vector to achieve a fixed-time bounded trajectory tracking error. Thirdly, a radial basis function-based neural network (RBFNN) is designed to estimate complex fluid damping, unknown marine environmental disturbances, and unmodeled dynamics, and the complexity of controller design is reduced by means of the minimum learned parameter method (MLP). At last, the validity of control method design is validated by numerical simulation.","PeriodicalId":151364,"journal":{"name":"2023 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114157931","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 : 2023-08-06DOI: 10.1109/ICMA57826.2023.10215611
Tianqi Xia, Enzeng Dong, Sen Yang, Jigang Tong, Shengzhi Du
In this paper, facing the aerial transportation task with a large volume cargo, the system of quadrotor with a cable-suspended rigid payload is investigated. The dynamic model of proposed system is built with Lagrange d’Alembert principle. The dynamic model is linearized to design the feedback control method. Finally, two groups of numerical simulation with proposed feedback controller are designed to demonstrate the effectiveness of system model and the results of simulation illustrate satisfactory performance.
{"title":"Modeling and Control Design for Quadrotor Transporting System With a Cable-Suspended Rigid Payload","authors":"Tianqi Xia, Enzeng Dong, Sen Yang, Jigang Tong, Shengzhi Du","doi":"10.1109/ICMA57826.2023.10215611","DOIUrl":"https://doi.org/10.1109/ICMA57826.2023.10215611","url":null,"abstract":"In this paper, facing the aerial transportation task with a large volume cargo, the system of quadrotor with a cable-suspended rigid payload is investigated. The dynamic model of proposed system is built with Lagrange d’Alembert principle. The dynamic model is linearized to design the feedback control method. Finally, two groups of numerical simulation with proposed feedback controller are designed to demonstrate the effectiveness of system model and the results of simulation illustrate satisfactory performance.","PeriodicalId":151364,"journal":{"name":"2023 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120987548","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 : 2023-08-06DOI: 10.1109/ICMA57826.2023.10215581
Chun-Ta Liu, Wei Gao, Shiwei Fan, Ya Zhang, Qingxin Wang, Guangmin Li, Yanyan Wang
This paper studies the sensor subset selection problem in the All-Source Positioning and Navigation (ASPN). Our research is based on the factor graph structure, which realizes the plug-and-play function of sensors. We summary the influence of the environment on sensors, and obtain an environment description method suitable for this problem. Sensor data evaluation is based on the DBSCAN clustering algorithm. Experimental results demonstrate that our approach can realize sensor selection and switching under dynamic conditions.
{"title":"Sensor Subsets Selection for ASPN Based on Environment Awareness","authors":"Chun-Ta Liu, Wei Gao, Shiwei Fan, Ya Zhang, Qingxin Wang, Guangmin Li, Yanyan Wang","doi":"10.1109/ICMA57826.2023.10215581","DOIUrl":"https://doi.org/10.1109/ICMA57826.2023.10215581","url":null,"abstract":"This paper studies the sensor subset selection problem in the All-Source Positioning and Navigation (ASPN). Our research is based on the factor graph structure, which realizes the plug-and-play function of sensors. We summary the influence of the environment on sensors, and obtain an environment description method suitable for this problem. Sensor data evaluation is based on the DBSCAN clustering algorithm. Experimental results demonstrate that our approach can realize sensor selection and switching under dynamic conditions.","PeriodicalId":151364,"journal":{"name":"2023 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121060618","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}
Vital signs monitoring of the human body is an important factor of diagnosing health conditions. In this paper, a high-precision plastic sensor used to monitor respiration is designed and demonstrated. The sensing system based on a tapered plastic optical fiber (POF) uses the flashlight of the mobile phone as the light source. In the experiment, a paper cup is used as the reaction area for respiration and the POF is tapered to improve the sensitivity. Before measuring respiratory rate, a manual press method is used to obtain the output waveform of the sensor via applying a fixed press-times. Then, the data of the sensor is calibrated and fitting lined using the press times and the fundamental frequency of the obtained waveform. Through the calibration curve, it can be found that the proposed sensor has a high linearity with a R2 of 0.999. During the experiments, it is indicated that the actual respiration frequencies agree well with the fitted curves of the data calibration. It has been proved that the tapered POF sensor has extremely high accuracy. Moreover, the high repeatability of the sensing system has been proved. Compared with traditional breathing sensor, the proposed POF sensor possesses the characteristics of low-cost, simple operation and high accuracy.
{"title":"Plastic Optical Fiber Tapered Sensor for Breathing Sensing","authors":"Youkui Zhang, Mingda Zhao, Haiwei Zhang, Zhihong Chen, Lifang Xue","doi":"10.1109/ICMA57826.2023.10215944","DOIUrl":"https://doi.org/10.1109/ICMA57826.2023.10215944","url":null,"abstract":"Vital signs monitoring of the human body is an important factor of diagnosing health conditions. In this paper, a high-precision plastic sensor used to monitor respiration is designed and demonstrated. The sensing system based on a tapered plastic optical fiber (POF) uses the flashlight of the mobile phone as the light source. In the experiment, a paper cup is used as the reaction area for respiration and the POF is tapered to improve the sensitivity. Before measuring respiratory rate, a manual press method is used to obtain the output waveform of the sensor via applying a fixed press-times. Then, the data of the sensor is calibrated and fitting lined using the press times and the fundamental frequency of the obtained waveform. Through the calibration curve, it can be found that the proposed sensor has a high linearity with a R2 of 0.999. During the experiments, it is indicated that the actual respiration frequencies agree well with the fitted curves of the data calibration. It has been proved that the tapered POF sensor has extremely high accuracy. Moreover, the high repeatability of the sensing system has been proved. Compared with traditional breathing sensor, the proposed POF sensor possesses the characteristics of low-cost, simple operation and high accuracy.","PeriodicalId":151364,"journal":{"name":"2023 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121204873","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 : 2023-08-06DOI: 10.1109/ICMA57826.2023.10215657
Xin Wan, Manyi Wang
Gears are used as transmission elements in a wide range of industries, so detecting faults in them is important. Current deep learning-based fault detection is difficult to apply to industrial embedded devices due to the complexity of the model and the huge computational effort. To address this problem, we propose a lightweight gear fault detection model, LG-YOLOv5. To obtain a lightweight network, the introduction of ShuffleNetV2 and GSConv. Then, to ensure excellent detection performance, we integrate a multi-span hybrid spatial pyramid pooling model, attention mechanism modules and cross-scale feature pyramids to improve the detection performance. Finally, to evaluate the gear fault detection capability of the LG-YOLOv5 on the Rockchip RK3568 embedded platform. Image acquisition to create a gear fault dataset. Experimental results show that the LG-YOLOv5 model has a volume of S.SM, which is only 61.5% of the YOLOv5 model, a computational cost of 13.6% of the YOLOv5, a 45% increase in detection speed and a 1.5% increase in accuracy, and is able to accurately identify gear faults such as wear, bulging and missing tooth.
{"title":"Gear Fault Detection Method Based on the Improved YOLOv5","authors":"Xin Wan, Manyi Wang","doi":"10.1109/ICMA57826.2023.10215657","DOIUrl":"https://doi.org/10.1109/ICMA57826.2023.10215657","url":null,"abstract":"Gears are used as transmission elements in a wide range of industries, so detecting faults in them is important. Current deep learning-based fault detection is difficult to apply to industrial embedded devices due to the complexity of the model and the huge computational effort. To address this problem, we propose a lightweight gear fault detection model, LG-YOLOv5. To obtain a lightweight network, the introduction of ShuffleNetV2 and GSConv. Then, to ensure excellent detection performance, we integrate a multi-span hybrid spatial pyramid pooling model, attention mechanism modules and cross-scale feature pyramids to improve the detection performance. Finally, to evaluate the gear fault detection capability of the LG-YOLOv5 on the Rockchip RK3568 embedded platform. Image acquisition to create a gear fault dataset. Experimental results show that the LG-YOLOv5 model has a volume of S.SM, which is only 61.5% of the YOLOv5 model, a computational cost of 13.6% of the YOLOv5, a 45% increase in detection speed and a 1.5% increase in accuracy, and is able to accurately identify gear faults such as wear, bulging and missing tooth.","PeriodicalId":151364,"journal":{"name":"2023 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116598940","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 : 2023-08-06DOI: 10.1109/ICMA57826.2023.10215709
Y. Zhang, Niansong Zhang, Aiming Wang, Yu Fu
Threaded connections are widely used in many fields such as national defense, aerospace, energy and chemical industry, so the processing quality directly affects the safety performance of mechanical equipment. As a typical hard and brittle material, Carbon fiber-reinforced plastic (CFRP) has good properties such as high hardness, high wear resistance and corrosion resistance. It is precisely because of these good properties that delamination defects, burrs and high surface roughness are prone to occur during thread processing Degree and other shortcomings. Traditional processing methods can no longer guarantee the processing quality of workpieces. This article uses CFRP ultrasonic vibration auxiliary thread milling as research, establish a motion trajectory model of milling knife tip, simulation research on thread milling processing, establish a macro and micro thread processing simulation model, perform comparative simulations with and without ultrasound, inquiry the effects of ultrasound parameters on the quality of processing. Ultrasonic processing reduces the cutting force of the workpiece, reduces the burrs, tears and layered defects brought by ordinary processing, and improves the quality of the processing of the workpiece.
{"title":"Research on Ultrasonic Vibration Assisted Thread Milling Processing Simulation of CFRP","authors":"Y. Zhang, Niansong Zhang, Aiming Wang, Yu Fu","doi":"10.1109/ICMA57826.2023.10215709","DOIUrl":"https://doi.org/10.1109/ICMA57826.2023.10215709","url":null,"abstract":"Threaded connections are widely used in many fields such as national defense, aerospace, energy and chemical industry, so the processing quality directly affects the safety performance of mechanical equipment. As a typical hard and brittle material, Carbon fiber-reinforced plastic (CFRP) has good properties such as high hardness, high wear resistance and corrosion resistance. It is precisely because of these good properties that delamination defects, burrs and high surface roughness are prone to occur during thread processing Degree and other shortcomings. Traditional processing methods can no longer guarantee the processing quality of workpieces. This article uses CFRP ultrasonic vibration auxiliary thread milling as research, establish a motion trajectory model of milling knife tip, simulation research on thread milling processing, establish a macro and micro thread processing simulation model, perform comparative simulations with and without ultrasound, inquiry the effects of ultrasound parameters on the quality of processing. Ultrasonic processing reduces the cutting force of the workpiece, reduces the burrs, tears and layered defects brought by ordinary processing, and improves the quality of the processing of the workpiece.","PeriodicalId":151364,"journal":{"name":"2023 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125315438","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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