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The Biomechanical Response of Cervical Spine under Different Follower Loads

The Biomechanical Response of Cervical Spine under Different...

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IEEE International Conference on Mechatronics and Automation

作者： Cheng-Fei Du Xin-Yi Cai Meng-Si Sun National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin China

The follower load is a synergy of the mimicking the human muscle tissue. It can improve load-carrying capacity of the human cervical spine and play an important part in maintaining the stability of cervical spine. Currently, the studies of the influence of a follower load on biomechanics of cervical spine is still not perfect. Therefore, this paper used the finite element (FE) modeling method to investigate the biomechanical response of cervical spine under different follower loads. The range of motion (ROM) of and intradiscal pressure (IDP) in the cervical spine were important parameters reflecting the condition of the cervical spine. So a three-dimensional (3D) nonlinear finite element model of the cervical spine (C3-C7) was built and validated. Under different follower loads (0 N, 50 N, 100 N, 150 N), a moment of 1 Nm was applied in the three anatomical planes to study the the influence of the follower load on the range of motion and intradiscal pressure in cervical spine. The results indicated that follower load reduced the ROM of cervical spine in extension, and in other postures increased the ROM. The most significant effect of the follower load on cervical spine was in torsion (55%), lateral bending (50%) and flexion (17%). In all postures, the IDP of cervical spine increased with the follower load increased, at the same the IDP changed nonlinearly with the follower load increased.

关键词： Read only memory Finite element analysis Load modeling In vitro Solid modeling Bending Spine

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Road Damage Detection and Classification Based on Multi-Scale Contextual Features

Road Damage Detection and Classification Based on Multi-Scal...

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IEEE International Conference on Big Data

作者： Lu Yang Hualin He Tao Liu Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin China

ISBN: (纸本)9781665480468

Road damage detection is particularly essential for improving road traffic safety. Existing methods do not perform well due to complex road conditions and sparse features contained in road damage. Therefore, we propose a new road damage detection network - YPLNet, which could obtain more refined multi-scale contextual features. Specifically, the network proposed in this paper is based on YOLOv5, by adding the PSA module to the backbone network, the spatial information of the feature map at multi-scale is obtained to enrich the feature space, and the long-term information dependence between channels is further constructed. In addition, in the feature fusion stage, the LCFI module is utilized to obtain contextual features under the multi-scale receptive fields, and these contextual features include rich low-level and high-level information. Our proposed network achieves a Mean-F1 Score of 0.635 in the competition. The source code and model are publicly available at https://***/hehualin-tut/YPLNet

关键词： Roads Source coding Big Data Feature extraction Data models Safety Context modeling

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Research on Intelligent Fault Diagnosis Method of Planetary Gearbox Based on ITD and CNN

Research on Intelligent Fault Diagnosis Method of Planetary ...

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Prognostics and system Health Management Conference (PHM-Qingdao)

作者： Songsong Zhu Jiwei Chen Ruitong Xie Yuhao Song Mian Zhang Mengxiong Zhao Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education (Tianjin University of Technology) Tianjin China

ISBN: (数字)9798350354010

ISBN: (纸本)9798350354027

Accurate fault diagnosis of planetary gearboxes (PGs) is crucial for preventing equipment failures and extending their lifespan. To enhance the efficiency and accuracy of PG fault diagnosis, this paper proposes a novel method integrating intrinsic time scale decomposition (ITD) with convolutional neural network (CNN). The proposed method leverages the demodulation capability of ITD to decompose and reconstruct the original signal, effectively removing irrelevant noise and isolating core fault features, and the learning ability of CNN to accurately identify the fault features. Compared to methods relying on CNN only, the proposed method not only improves the computational efficiency but also achieves higher fault diagnosis accuracy.

关键词： Fault diagnosis Accuracy Computational modeling Noise Feature extraction Computational efficiency Convolutional neural networks Prognostics and health management Demodulation

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Dimensional synthesis and static/dynamic analysis of a robot in automobile hubs polishing

Dimensional synthesis and static/dynamic analysis of a robot...

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IEEE International Conference on Mechatronics and Automation

作者： Long Chen Manru Xi Yue Ma Bin Li Qi Liu Changrui Li Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin China

Focusing on the polishing operation of automobile hubs, this paper proposed a polishing robot by combining a 1T2R parallel mechanism (PM) and an X-Y worktable. The dimensional synthesis and static/dynamic performance analysis of the 1T2R PM are also presented with the key points as follows. Firstly, the inverse displacement model and velocity model of the PM are built to formulate the motion/force transmissibility indices on the basis of the generalized Jacobian matrix. Secondly, the dimensional synthesis problem is formulated to determine the optimized normalized dimensional parameters by maximizing the global force/motion transmissibility of the PM subject to geometric constraints without mechanical interference. Finally, the finite element (FE) model of the 1T2R PM is built with the aid of the SAMCEF, and the static stiffness and lower-order natural frequencies of the PM are evaluated. The research results of this paper provide dimensions and mechanical structures for developing the physical prototype of the automobile hub polishing robot.

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Kinematic analysis and trajectory planning of two-limb 4-DOF high-speed parallel robot

Kinematic analysis and trajectory planning of two-limb 4-DOF...

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IEEE International Conference on Mechatronics and Automation

作者： Weihua Sun Yue Ma Changrui Li Bin Li Yansen Zhao Qi Liu Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin China

ISBN: (数字)9798350388077

ISBN: (纸本)9798350388084

Focusing on the pick-and-place operation in the electronic, packaging, and other light industries, this paper proposed a new type 3T1R (T-Translation, R-Rotation) high-speed parallel robot with two limbs. Compared with other 4-DOF high-speed parallel robots with four limbs, its structure is simpler while the working space is larger, such that the potential for cheaper usage in the industry is achieved. The robot's kinematic analysis and trajectory planning, including key aspects, are also outlined here. Firstly, the robot's closed-loop constraint equation is established using the vector chain method. The displacement, velocity, and acceleration models are derived, and the Jacobian matrix is obtained. On this basis, the gate shape trajectory is planned using the 3-4-5 polynomial motion rule, such that the displacement, velocity, and acceleration of the driving joint are obtained using the kinematic models above. Ultimately, the accuracy of the kinematic models is confirmed by comparing the theoretical outcomes with the simulations carried out in SolidWorks. The study presented in this paper establishes a firm basis for the dimensional integration and the creation of a physical model of the robot.

关键词： Industries Solid modeling Parallel robots Trajectory planning Kinematics Logic gates Vectors

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A Model-Data Compound Driven Method For Compensating Robot Tracking Error

A Model-Data Compound Driven Method For Compensating Robot T...

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IEEE International Conference on Mechatronics and Automation

作者： Pai Peng Qi Liu Bin Li Wei Peng Xinjie Wang Jinyuan Wang Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin China

Industrial robots are widely used in industrial production because of their high work efficiency and high flexibility, but their low tracking accuracy makes them unable to be applied on a large scale in high-precision manufacturing. Considering the modeling error of robot, the problem of low tracking accuracy should be solved by combining model-based methods and data-based methods. Thus, a model-data compound approach is proposed for compensating robot tracking error. This method comprehensively considers two error compensation methods of model-driven and data-driven, which constructed the input matrix by using the model-based information and the data-based information. The former includes the desired position, velocity, acceleration, torque and friction torque; and the latter includes the actual torque. For the purpose of predicting the correlation between the joint error and the historical joint motion state, the historical information of the joint motion is also added in the input matrix for improving the error prediction accuracy. Then, a convolutional neural network prediction model is constructed for predicting and compensating the tracking error of each actuated joint. The experimental results show that the proposed method has good prediction accuracy and compensation effect. Compared to joint control without using the proposed method, the root mean square of joint tracking errors was reduced by up to more than 69%.

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mechanical Design of Out-pipe Detection Mechanisms for Pipeline Defects

Mechanical Design of Out-pipe Detection Mechanisms for Pipel...

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IEEE International Conference on Mechatronics and Automation

作者： Guangyin Nie Xinhua Zhao Yihan Ren Liang Liu Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin China

ISBN: (数字)9798350388077

ISBN: (纸本)9798350388084

Pipes in various are dominated in in the process of industrial production. To avoid the pipeline leak due to inner corrosion, it is essential to develop pipe inspection mechanisms to detect the wall thickness of the pipes used in production. The paper presents three kinds of out-pipe detection mechanisms (ODM) for different petrochemical pipeline detection demands based on eddy current testing (ECT) method. A linear inspection mechanism with fixed length is firstly proposed to detect defects of straight pipe. Secondly, a rotary inspection mechanism is designed for pipeline weld detection. Besides, an out-pipe scanning wheeled robotic mechanism is developed to detect wall thickness of pipes and avoid small obstacles such as valves on the pipelines. Lastly, detection experiments and simulations are carried out to verify the effectiveness of the designed out-pipe detection mechanisms.

关键词： Mechatronics Welding Pipelines Production Inspection Valves Petrochemicals

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Biomechanical Comparison of Lateral Interbody Fusion with and without Fixation

Biomechanical Comparison of Lateral Interbody Fusion with an...

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IEEE International Conference on Mechatronics and Automation

作者： Cheng-Fei Du Meng-Si Sun Xin-Yi Cai Chen-Xi Yuchi National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin China

Objective: To compare biomechanical behaviors of lumbar lateral interbody fusion with and without posterior fixation. Methods: Three kinds of three-dimensional nonlinear finite element models of lumbar vertebrae (L3-S1) were developed: traditional lateral interbody fusion with bilateral pedicle 4 screws and 2 rods internal fixation; only lateral interbody fusion; intact model. The models were supported to a 500N follower load with a 7.5-N.m moment of flexion, extension,lateral bending,and rotation. The change of the range of motion (ROM) and intervertebral disc pressure (IDP) of the surgical segment and adjacent segments are compared. Results: Compared with the intact model, both surgical methods reduce the range of motion at the surgical segment in all motion modes, but have almost no effect on adjacent segments. The addition of fixation induce the further reduction of ROM in the surgical segment, and the ROM is almost 0° in all motion modes except for rotation. While for the model of only lateral interbody fusion, the ROM range from 0.4° to 2.2°. Moreover, the variation of the intervertebral disc pressure in surgery groups are extremely subtle in all the segments and all the postures. Conclusion: Compared to the only lateral interbody fusion,the traditional internal fixation with bilateral pedicle 4 screws and 2 rods for lateral interbody fusion showed more bimechanical stability of the surgical segment. The extra fixation for lumbar lateral interbody fusion is indispensable for surgeon.

关键词： Surgery Finite element analysis Read only memory Spine Motion segmentation Biological system modeling Fasteners

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Gait Planning and Simulation of 3-RRP Legged Mobile Robot

Gait Planning and Simulation of 3-RRP Legged Mobile Robot

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IEEE International Conference on Mechatronics and Automation

作者： Jinyuan Wang Bin Li Yue Ma Xinjie Wang Pai Peng Wei Peng Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin China

In order to meet the requirements of keeping the body posture level with the ground during the movement of the quadruped robots, this paper designs a quadruped robot with three joints and three degrees of freedom in each leg, which is a 3-RRP kinematic chain. The legs and body of the quadruped robot are virtually modeled by SolidWorks. Combining the forward and inverse kinematics analysis, the reasonable and ideal foot trajectory and body motion trajectory are planned in Matlab. The gait stability is based on the ZMP stability criterion and is quantified by the stability margin. According to the structural characteristics of the quadruped robot in this paper, the body posture adjustment strategy is proposed. Finally, the simulation is carried out under the two gait plannings of straight driving and turning using ADAMS. The simulation results show that the quadruped robot has a reasonable walking gait on the flat road surface with little impact on the body. The minimum stability margin of the strategy with body adjustment is improved compared with the strategy without body adjustment.

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Analysis of Anchor-Based and Anchor-Free Object Detection Methods Based on Deep Learning

Analysis of Anchor-Based and Anchor-Free Object Detection Me...

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IEEE International Conference on Mechatronics and Automation

作者： Shujian Liu Haibo Zhou Chenming Li Shuo Wang Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin China

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164175

As one of the core mission of computer vision, object detection has been widely applied with the rapid development of computer technology, especially in the fields of face detection, behavior detection, auto driving, and intelligent monitoring. Aiming at the shortcomings of the traditional object detection, such as low detection accuracy, low efficiency and poor robustness, this article summarizes deep learning-based detectors of two kinds of modules: Anchor-Based and Anchor-Free. The performance of each detector is compared and analyzed in this paper as well. In addition, we summarize the development of object detection's key technologies from the aspect of improvement of Backbone, the optimization of NMS, imbalance of positive and negative samples' solution etc. Finally, the development trend of object detection is discussed from the prospect of lightweight detection model, weakly supervision detection and small object detection etc.

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