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Deep Learning Based Online Defect Detection Method for Automotive Sealing Rings

Computers, Materials & Continua 2025年第5期83卷 3211-3226页

作者： Jian Ge Qin Qin Jinhua Jiang Zhiwei Shen Zimei Tu Yahui Zhang School of Intelligent Manufacturing and Control Engineering Shanghai Polytechnic UniversityShanghai201209China School of Electrical Engineering and Telecommunications UNSWSydneyNSW 2052Australia

Manufacturers must identify and classify various defects in automotive sealing rings to ensure product *** learning algorithms show promise in this field,but challenges remain,especially in detecting small-scale defects under harsh industrial conditions with multimodal *** paper proposes an enhanced version of You Only Look Once(YOLO)v8 for improved defect detection in automotive sealing *** introduce the Multi-scale Adaptive Feature Extraction(MAFE)module,which integrates Deformable ConvolutionalNetwork(DCN)and Spaceto-Depth(SPD)*** module effectively captures long-range dependencies,enhances spatial aggregation,and minimizes information loss of small objects during feature ***,we introduce the Blur-Aware Wasserstein Distance(BAWD)loss function,which improves regression accuracy and detection capabilities for small object anchor boxes,particularly in scenarios involving defocus ***,we have constructed a high-quality dataset of automotive sealing ring defects,providing a valuable resource for evaluating defect detection *** results demonstrate our method’s high performance,achieving 98.30% precision,96.62% recall,and an inference speed of 20.3 ms.

关键词： Deep learning automotive sealing ring defect detection

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Tool Wear Prediction Based on Adaptive Feature-Temporal Weighted Method and Long Short-term Memory Model

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International Journal of Automotive and Mechanical engineering 2025年第1期22卷 12174-12185页

作者： Wang, Wanzhen Ngu, Sze Song Xin, Miaomiao Ni, Xiaomei Liu, Yuan Qiu, Man Wang, Qian Zang, Hongyan Wang, Lin Li, Na Faculty of Engineering Universiti Malaysia Sarawak Sarawak 94300 Kota Samarahan Malaysia School of Intelligent Manufacturing and Control Engineering Qilu Institute of Technology Jinan250200 China

Tool wear prediction constitutes a critical enabler for intelligent manufacturing systems, providing scientific decision support for proactive maintenance scheduling. Tool wear prediction is a critical challenge in manufacturing, as accurate predictions can optimize production processes, reduce downtime, and lower maintenance costs. However, existing methods face significant limitations: traditional machine learning approaches rely heavily on complex feature engineering, requiring extensive domain expertise, which limits their generalizability and scalability. Additionally, conventional Long Short-term Memory (LSTM) models, while effective for structured data on tool machining, struggle to adequately assign importance to features, leading to suboptimal prediction accuracy. These gaps highlight the need for a more robust and efficient approach to tool wear prediction. This study develops an adaptive LSTM framework with dual attention mechanisms to automate tool wear prediction in smart manufacturing. The method processes vibration signals through four stages—signal division, multi-domain feature extraction, adaptive feature-temporal weighting, and wear quantification. The proposed method is experimentally validated, and the results demonstrate superior performance with lower errors than conventional LSTM models, achieving a reduction of 12.27%, 34.31%, and 40.21% in RMSE on C1, C4, and C6, respectively, and 20.48%, 37.71%, and 39.12% in MAE. The developed model helps producers determine the precise timing of tool changes, reducing the risk of downtime due to tool failure and thus increasing productivity. © (2025), (Universiti Malaysia Pahang). All rights reserved.

关键词： Repair

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Study on Dry Electrical Discharge Assisted Grinding of SiCp/Al Composite

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Chinese Journal of Mechanical engineering 2025年第1期38卷 106-118页

作者： Yanjun Lu Yuming Huang Xiaobu Liu Rong Cheng Shunda Zhan Guangdong Provincial Key Laboratory of Micro/Nano Optomechatronics Engineering College of Mechatronics and Control EngineeringShenzhen UniversityShenzhen 518060China School of Intelligent Manufacturing and Equipment Shenzhen Institute of Information TechnologyShenzhen 518172China

SiC-reinforced aluminum matrix(SiCp/Al)composite is widely utilized in the aerospace,automotive,and electronics industries due to the combination of ceramic hardness and metal ***,the significant disparity in properties between SiC particles and the aluminum matrix results in severe tool wear and diminished surface quality during conventional *** study proposes an environmentally friendly and clean dry electrical discharge assisted grinding process as an efficient and low-damage machining method for SiCp/*** experimental platform was set up to study the impact of grinding and discharge process parameters on surface *** study compared the chip formation mechanism and surface quality between dry electrical discharge assisted grinding and conventional grinding,revealing relationships between surface roughness,grinding force,grinding temperature,and related *** results indicate that the proposed grinding method leads to smaller chip sizes,lower grinding forces and temperatures,and an average reduction of 19.2%in surface roughness compared to conventional *** axial,tangential,and normal grinding forces were reduced by roughly 10.5%,37.8%,and 23.0%,*** optimized process parameters were determined to be N=2500 r/min,vf=30 mm/min,a=10μm,E=15 V,f=5000 Hz,dc=80%,resulting in a surface roughness of 0.161μm.

关键词： Dry electrical discharge assisted grinding SiCp/Al composite Surface quality Grinding force Grinding temperature

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Dynamics Study of Mechanism with Clearance Based on Adams 4th

Dynamics Study of Mechanism with Clearance Based on Adams

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4th International Conference on Mechanical Design and Simulation, MDS 2024

作者： Li, Ru Li, Na Chen, Fei Zhao, Xin School of Intelligent Manufacturing and Control Engineering Qilu Institute of Technology Shandong Jinan250200 China

ISBN: (纸本)9789819778867

In view of the influence of the motion pair gap on the dynamic characteristics of the mechanism, considering the gap size and the driving load, an improved nonlinear contact collision model is proposed, the friction with the modified Kulun force friction model. Movement pair gap with mass vector rod equivalent, using discrete analysis method for collision between the motion, the crank slider mechanism as an example, the clearance mechanism model in Adams, using the algorithm of unilateral impact function to calculate the collision force, quantitative analysis of the dynamic characteristics of the mechanism, verify the consistency of the simulation results and theoretical value, provides a theoretical basis for the design and analysis of the clearance mechanism. © The Author(s) 2025.

关键词： Friction

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RIS Enabled SCLAM: An Approach for Simultaneous Radio Communication, Localization, and Mapping

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IEEE Internet of Things Journal 2025年第10期12卷 14663-14676页

作者： Zhao, Jinqiu Bai, Zhiquan Guo, Shuaishuai Ma, Dejie Li, Na Kwak, Kyung Sup Shandong University Shandong Key Laboratory of Intelligent Communication and Sensing-Computing Integration School of Information Science and Engineering Qingdao266237 China Shandong University Shandong Key Laboratory of Intelligent Communication and Sensing-Computing Integration School of Control Science and Engineering Jinan250061 China Qilu Institute of Technology School of Intelligent Manufacturing and Control Engineering Jinan250200 China INHA University Graduate School of Information Technology and Telecommunications Incheon22212 Korea Republic of

Radio-based simultaneous localization and mapping (SLAM) facilitates unmanned systems to fulfill self-localization and navigation in complex environments. However, the existing studies overlooked communication between devices, which may lead to low efficiency and high costs when performing SLAM tasks. Reconfigurable intelligent surface (RIS) can satisfy the growing demands of users and improve SLAM accuracy in dynamic and complex environments. This paper proposes a RIS enabled simultaneous radio communication, localization, and mapping (SCLAM) system, where an unmanned aerial vehicle (UAV) can perform concurrent communication and SLAM with the help of RIS by utilizing communication signals from base station (BS). The proposed method enables the UAV to simultaneously accomplish SLAM and ensure communication with the BS, while also enhancing the spectrum utilization efficiency. We derive the Bayesian Fisher information matrix (BFIM) for joint SLAM and symbol detection of the proposed system, in which the trade-off between the BFIM of SLAM and the upper bound of the ergodic mutual information is illustrated. Then, a weighted factor based BFIM is presented to further achieve a performance trade-off between SLAM and communication. We formulate an optimization problem of joint BS active beamforming and RIS passive beamforming to maximize the log determinant of weighted BFIM. Numerical results verify the superiority of the proposed SCLAM system on position error bound (PEB), mapping error bound (MEB), and spectral efficiency (SE). The performance trade-off between communication and SLAM is also discussed and explored. © 2014 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Data Driven Comprehensive Performance Evaluation of Aeroengines:A Network Dynamic Approach

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engineering 2025年第3期46卷 292-305页

作者： Yuting Wang Feng Liu Feng Xi Bofei Wei Dongli Duan Zhiqiang Cai Shubin Si School of Mechanical Engineering Northwestern Polytechnical UniversityXi’an 710072China Key Laboratory of Industrial Engineering and Intelligent Manufacturing(Ministry of Industry and Information Technology of the People’s Republic of China) Xi’an 710072China AECC Aviation Power Co. Ltd.Xi’an 710005China School of Information and Control Engineering Xi’an University of Architecture and TechnologyXi’an 710311China

Aeroengines,often regarded as the heart of aircraft,are crucial for flight safety and *** performance evaluation of aeroengines supports Prognostics and Health Management(PHM)and aeroengine digital *** to their highly integrated nature,aeroengines present challenges in performance evaluation because their test-run data are high-dimensional,large-scale,and exhibit strong nonlinear correlations among test *** solve this problem,this study proposes a unified framework of the comprehensive performance evaluation of aeroengines to assess performance objectively and ***,the network model and the dynamics model of aeroengine performance are constructed driven by test-run data,which can explain the patterns of system state changes and the internal relationship,and depict the system *** on that,three perturbations in the model are used to simulate three fault modes of ***,the comprehensive performance evaluation indexes of aeroengines are proposed to evaluate the performance dynamically from two dimensions,the coupling performance and the activity *** test-run qualified and four test-run failed aeroengines are used to validate and establish the qualified *** results demonstrate that the comprehensive evaluation indexes can distinguish test-run qualified and test-run failed *** changing the dynamic parameters,the comprehensive performance under any thrust and inlet guide vanes(IGV)angle can be estimated,broadening the test-run scenarios beyond a few typical *** novel approach offers significant advancements for the comprehensive performance evaluation and management of aeroengines,paving the way for future PHM and aeroengine digital engineering developments.

关键词： Comprehensive performance evaluation Aeroengine performance Network Resilience

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Preparation of PVDF Fiber Membrane and Optimization of Process Parameters 5th

Preparation of PVDF Fiber Membrane and Optimization of Proce...

引用

5th International Conference on Vibration and Energy Harvesting Applications, VEH 2024

作者： Mei, Jie Ji, Xufeng Huang, Xianliang Chen, Wanjie Chen, Dingfang Institute of Intelligent Manufacturing and Control Wuhan University of Technology Wuhan China School of Transportation and Logistics Engineering Wuhan University of Technology Wuhan China

ISBN: (纸本)9789819611904

In order to obtain the optimal PVDF piezoelectric fiber film to enhance its piezoelectric properties, PVDF was used as solute, N–N dimethylformamide (DMF) and acetone were used as solvents, and the electrospinning process parameters and electrode corona were optimized. Based on the control variable method, the effects of solvent ratio (volume ratio of DMF to acetone), solution concentration, spinning voltage, solution injection speed and receiving drum speed on the performance of PVDF piezoelectric fiber membrane were studied and analyzed. The characterization results of the viscosity of PVDF solution, the microstructure of PVDF piezoelectric fiber membrane, the content of crystal phase, the piezoelectric constant, the tensile strength and the dielectric constant after silver electrode were measured. The optimal preparation process parameters of PVDF piezoelectric membrane were obtained: solvent ratio 6:4, solution concentration 15%, spinning voltage 21.5 kV, solution injection speed 0.04 mm/min and receiving drum speed 1800 rpm. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Tensile strength

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Relative Localizability and Localization for Multirobot Systems

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IEEE Transactions on Robotics 2025年 41卷 2931-2949页

作者： Chen, Liangming Liang, Chenyang Yuan, Shenghai Cao, Muqing Xie, Lihua Southern University of Science and Technology School of System Design and Intelligent Manufacturing Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology Shenzhen518055 China Harbin Institute of Technology School of Mechanical Engineering and Automation Shenzhen518055 China Southern University of Science and Technology School of System Design and Intelligent Manufacturing Shenzhen518055 China Nanyang Technological University School of Electrical and Electronic Engineering 639798 Singapore Carnegie Mellon University Robotics Institute PittsburghPA15213 United States

Inter-robot relative positions are crucial for executing various multirobot missions, such as formation maneuvering and collaborative inspection. However, the current sensing technology usually provides part of relative position information, such as inter-robot distances, bearings and angles. This prompts the study of determining inter-robot relative positions, i.e., relative localization, from these partial measurements. Based on the existing results of static networks' localizability and mobile robots' relative localization, we propose a novel concept, relative localizability to describe whether a multirobot system is relatively localizable. Given each robot's self-displacement measurements and inter-robot partial measurements in d (d ≤ 4) sampling instants, we show that a multirobot system's relative localization can be achieved in a purely algebraic and distributed manner, in which the multirobot system is said to be d-step relatively localizable. To make the results more general, we consider that the multirobot system consists of landmarks, leaders, and followers, and that the inter-robot measurements can be distances, bearings or angles. When robots' coordinate frames have different orientations, we show that the given local measurements can be used to determine robots' relative positions and their coordinate frames' relative orientations simultaneously. Simulations and experiments of relative localization for ground robots are conducted to validate the obtained results. © 2004-2012 IEEE.

关键词： Multipurpose robots

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Noncollocated Output Feedback control for the Semilinear Parabolic PDEs Under Input and Output Quantization

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IEEE Transactions on Automatic control 2025年第5期70卷 2934-2947页

作者： Zhao, Xuena Liu, Zhijie Zhang, Shuang Liu, Yu He, Wei University of Science and Technology Beijing Institute of Artificial Intelligence Key Laboratory of Perception and Control of Intelligent Bionic Unmanned Systems Ministry of Education School of Intelligence Science and Technology Beijing100083 China School of Automation Science and Engineering Engineering Research Center of Precision Electronic Manufacturing Equipment of Ministry of Education Guangzhou510640 China Institute of Artificial Intelligence Key Laboratory of Perception and Control of Intelligent Bionic Unmanned Systems Ministry of Education School of Intelligence Science and Technology Beijing100083 China School of Automation Beijing102206 China

In the context of increasingly networked control systems, this article concentrates on the noncollocated control issue of input and output quantization for industrial processes governed by semilinear parabolic partial differential equation (PDE) systems. Both the control and measurement signals are quantized and transmitted through the network, which causes signal errors and reduces the stability and robustness of the system. A Luenberger-type PDE observer is developed to overcome the control difficulty of quantized measurement feedback signals and noncollocated pointwise sensors. Based on the observed value, a feedback controller is proposed, which undergoes quantization and operates on the distributed actuators within the domain. By employing the Lyapunov direct method, it is demonstrated that the observer can accurately track the system state with exponential precision, and the closed-loop system is exponentially converged. The well-posedness analysis of the closed-loop system is discussed via the C0-semigroup method. The performance of the developed control strategy is validated through simulation examples. © 1963-2012 IEEE.

关键词： Feedback control

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Broadband low-frequency sound absorption of multifunctional composite metastructure

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Science China(Technological Sciences) 2025年第2期68卷 114-124页

作者： Yilong YANG Shanshan LIU Yan LI Tong GAO Yongdong PAN Yong LI Yabin JIN School of Aerospace Engineering and Applied Mechanics Tongji UniversityShanghai 200092China State International Joint Research Center of Aerospace Design and Additive Manufacturing Northwestern Polytechnical UniversityXi’an 710072China Institute of Acoustics School of Physics Science and EngineeringTongji UniversityShanghai 200092China Shanghai Key Laboratory of Intelligent Sensing and Detection Technology School of Mechanical and Power EngineeringEast China University of Science and TechnologyShanghai 200237China Shanghai Institute of Aircraft Mechanics and Control Shanghai 200092China

In this study,we fabricated multifunctional metastructures from carbon fiber-reinforced plastic composites using additive manufacturing *** metastructures are characterized by their lightweight,load-bearing capacity,and broadband low-frequency sound absorption *** metastructure consists of 36 unit cells,and non-local coupling mechanism was considered for designing the sound absorption *** developed an acoustic impedance theory tailored for the metastructure,facilitating an analysis of thermal and viscous dissipation *** is proven theoretically and experimentally that the proposed composite metastructure can achieve a noise reduction with an average sound absorption coefficient greater than 0.9 across frequencies in the rage of 330-1500 *** also studied the metastructure’s quasi-static and cyclic compression performance,confirming its efficient absorption capabilities after cyclic *** proposed design and additive manufacturing method for composite metastructures provides a novel pathway for creating lightweight,multifunctional structures with diverse applications,such as aerospace engineering.

关键词： composite metastructure broadband sound absorption additive manufacturing

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