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Optimised design of cross-shaft parameters based on response surface optimisation model with MOGA

International Journal of Wireless and Mobile Computing 2024年第2期26卷 198-206页

作者： Xiong, Sijie Xie, Yuanmin Zou, Chunlong Mao, Yanfeng Cao, Yongcheng Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education Wuhan University of Science and Technology Hubei Wuhan China Research Centre for Biomimetic Robot and Intelligent Measurement and Control Wuhan University of Science and Technology Hubei Wuhan China Precision Manufacturing Research Institute Wuhan University of Science and Technology Hubei Wuhan China Hubei University of Automotive Technology Hubei Shiyan China Technology Research and Development Hubei Jingmen Wusan Machinery Equipment Manufacturing Co. Ltd. Jingmen Hubei China

Cross-shaft is the core component of the cross-type universal coupling and has a vital transmission function. This paper proposes Sparse Grid and the Kriging interpolation to construct a response surface model to solve the problem of long design cycles, low reliability and high susceptibility to cross-shaft fatigue deformation. The critical dimensions of the cross-shaft are used as design variables, and the maximum equivalent force and deformation are reduced as the optimisation objective. Then experimental points are obtained by Sparse Grid Initialisation and then the response surface model is obtained with high accuracy by Kriging interpolation, and finally, the optimised design of the cross-shaft is completed using MOGA in this paper. Compared with the original structural solution, the maximum deformation of the cross-shaft is reduced by 0.4717 mm (22.35%), the maximum equivalent force is reduced by 130.35 Mpa (17.21%) and the mass increased by only 4.17%. © 2024 Inderscience Enterprises Ltd.

关键词： Multiobjective optimization

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Surface Quality Analysis of Laser-Induced Assisted Grinding of Single-Crystal Silicon

Surface Quality Analysis of Laser-Induced Assisted Grinding ...

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2024 IEEE International Conference on Manipulation, manufacturing and Measurement on the Nanoscale, 3M-NANO 2024

作者： Sun, Hao Xu, Jinkai Wang, Jiaqi Li, Yiquan Ministry of Education Key Laboratory for Cross-Scale Micro and Nano Manufacturing National and Local Joint Engineering Laboratory for Precision Manufacturing and Detection Technology College of Mechanical and Electrical Engineering Changchun University of Science and Technology Changchun China

ISBN: (纸本)9798350362107

The semiconductor material single-crystal silicon is known for its mechanical and chemical stability, which poses several challenges for micro-machining. These challenges include difficulty in material removal, potential surface damage, and limited machining precision, among others. Therefore, this paper proposes using laser-induced assisted grinding (L-IAG) technology to modify the surface of single-crystal silicon. By combining this technique with an abrasive grinding process, the integrity of the grinding surface can be improved. In L-IAG, laser irradiation is applied to the surface of single-crystal silicon. This irradiation generates the oxide layer with a looser density compared to the original silicon material. The looser oxide film is then removed in the subsequent grinding process. This method reduces the surface damage to the workpiece, improves the surface quality, and decreases the surface roughness. In this study, the surface morphology and surface roughness of conventional grinding (CG) and L-IAG were compared through experimental analysis. The results showed that L-IAG effectively improves the surface finish quality of single-crystal silicon. With CG, the surface roughness of the workpiece was 1.150 μm. In contrast, using L-IAG reduced the surface roughness to 0.587 μm, representing a 49% improvement. © 2024 IEEE.

关键词： Surface roughness

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Effect of Direct Aging on Corrosion Behavior of AlSi10Mg Alloy Fabricated by Laser Powder Bed Fusion

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Acta Metallurgica Sinica(English Letters) 2024年第2期37卷 266-282页

作者： Zhen Zhang Zhanyong Zhao Xiaofeng Li Beibei Wang Peikang Bai Shanxi Key Laboratory of Controlled Metal Solidification and Precision Manufacturing School of Materials Science and EngineeringNorth University of ChinaTaiyuan030051China Technical Center Taiyuan Iron and Steel(Group)Co.LtdTaiyuan030003China School of Materials Science and Engineering Taiyuan University of Science and TechnologyTaiyuan030024China

Effect of direct aging of 170℃on corrosion behavior of laser powder bed fused AlSi10Mg(LPBF-AlSi10Mg)was studied by microstructure analysis,electrochemical analysis and X-ray photoelectron *** results show that direct aging of 170℃has little effect on melt pool and Si cellular structure,but promotes the precipitation of nano-Si particles and releases the residual *** increasing aging time from 0 to 4 h to 24 h,the corrosion property of the LPBF-AlSi10Mg is deteriorated,which is evidenced by increased corrosion current density and decreased pitting potential and polarization *** increasing the aging time,the thickness of the oxide film formed on surface of the LPBF-AlSi10Mg *** Si content of the oxide film of the sample aging for 4 h is the lowest,9.42 at.%,and it is the highest,18.62 at.%,for the sample aging for 24 *** electrochemical noise analysis reveals that the middle-frequency contribution of the Hilbert spectrum is responsible for the deteriorated corrosion performance,which corresponds to metastable pitting initiated by nano-Si particles.

关键词： Laser powder bed fusion AlSi10Mg Direct aging Corrosion

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Vision Sensing-Based Online Correction System for Robotic Weld Grinding

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Chinese Journal of Mechanical Engineering 2023年第5期36卷 97-108页

作者： Jimin Ge Zhaohui Deng Shuixian Wang Zhongyang Li Wei Liu Jiaxu Nie Hunan Provincial Key Laboratory of High Efciency and Precision Machining of Difcult Machine Material Hunan University of Science and TechnologyXiangtan 411201China Institute of Manufacturing Engineering Huaqiao UniversityXiamen 361021China ZOOMLION Heavy Industry Science and Technology Co. Ltd.Changsha 410000China

The service cycle and dynamic performance of structural parts are afected by the weld grinding accuracy and surface consistency. Because of reasons such as assembly errors and thermal deformation, the actual track of the robot does not coincide with the theoretical track when the weld is ground ofine, resulting in poor workpiece surface quality. Considering these problems, in this study, a vision sensing-based online correction system for robotic weld grinding was developed. The system mainly included three subsystems: weld feature extraction, grinding, and robot real-time control. The grinding equipment was frst set as a substation for the robot using the WorkVisual software. The input/output (I/O) ports for communication between the robot and the grinding equipment were confgured via the I/O mapping function to enable the robot to control the grinding equipment (start, stop, and speed control). Subsequently, the Ethernet KRL software package was used to write the data interaction structure to realize realtime communication between the robot and the laser vision system. To correct the measurement error caused by the bending deformation of the workpiece, we established a surface profle model of the base material in the weld area using a polynomial ftting algorithm to compensate for the measurement data. The corrected extracted weld width and height errors were reduced by 2.01% and 9.3%, respectively. Online weld seam extraction and correction experiments verifed the efectiveness of the system’s correction function, and the system could control the grinding trajectory error within 0.2 mm. The reliability of the system was verifed through actual weld grinding experiments. The roughness, Ra, could reach 0.504 µm and the average residual height was within 0.21 mm. In this study, we developed a vision sensing-based online correction system for robotic weld grinding with a good correction efect and high robustness.

关键词： Online correction system Robot Grinding Weld seam Laser vision sensor

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Dielectric–magnetic manipulation of reduced graphene oxide permittivity for enhanced electromagnetic wave absorption

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Journal of Advanced Ceramics 2024年第12期13卷 1974-1984页

作者： Kaili Zhang Zhen Wang Yuefeng Yan Guansheng Ma Renchao Che Dechang Jia Xiaoxiao Huang Yu Zhou State Key Laboratory of Precision Welding&Joining of Materials and Structures Harbin Institute of TechnologyHarbin 150001China School of Materials Science and Engineering Harbin Institute of TechnologyHarbin 150001China MIIT Key Laboratory of Advanced Structural-Functional Integration Materials&Green Manufacturing Technology Harbin Institute of TechnologyHarbin 150001China Laboratory of Advanced Materials Shanghai Key Lab of Molecular Catalysis and Innovative MaterialsFudan UniversityShanghai 200438China

Graphene is a promising electromagnetic wave absorption(EMWA)material because of its structural designability,controllable electromagnetic properties,and excellent ***,the impedance mismatch caused by high conductivity and dielectric properties has seriously hindered the application of graphene in the EMWA *** this work,based on the dielectric dispersion behavior of ideal broadband absorption as a guide,a Fe microsheet/reduced graphene oxide(Fe/RGO)composite was prepared by simple hydrothermal and thermal reduction *** permittivity of RGO is optimized by adjusting the content of anisotropic Fe microsheets,and a balance between attenuation ability and impedance matching is *** calculations and off-axis electron holography results reveal that the abundant polar sites and heterogeneous interfaces of Fe and RGO enhance the dipole and interface *** threedimensional(3D)conductive network structure contributes to multiple reflections of incident electromagnetic waves and conduction *** natural and exchange resonances and eddy current loss caused by anisotropic Fe microsheets further increase magnetic *** on the dielectric-magnetic loss mechanism and good impedance matching,Fe/RGO achieves a minimum reflection loss(RL_(min))of−67.95 dB at 8.48 GHz and a maximum effective absorption bandwidth(EAB_(max))of 6.91 GHz(11.09–18 GHz)with a low filling content of 10 wt%.In addition,Fe/RGO has excellent radar stealth performance,with a radar cross section(RCS)of−31.21 dBm^(2) at 0°.Therefore,the proposed strategy and theoretical analysis provide a reference for the microstructure design,composition,and mechanism analysis of EMWA materials.

关键词： electromagnetic wave absorption(EMWA) Fe microsheets reduced graphene oxide(RGO) dielectric-magnetic loss impedance matching

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Conveyor belt deviation detection method based on improved Deeplabv3+ 10

Conveyor belt deviation detection method based on improved D...

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10th International Conference on Mechanical Engineering, Materials, and Automation technology, MMEAT 2024

作者： Zeng, Fei Feng, Sheng Tao, Yuheng Zhang, Xiaochuan Key Laboratory of Metallurgical Equipment and Control of Ministry of Education Wuhan University of Science and Technology Hubei Wuhan China Precision Manufacturing Institute Wuhan University of Science and Technology Hubei Wuhan China

ISBN: (纸本)9781510682634

This paper proposes an improved Deeplabv3+ based conveyor belt deviation detection method. Firstly, the backbone network of Deeplabv3+ is replaced with a more lightweight convolutional neural network, MobileNet_V3, which gives better performance on small sample datasets;secondly, GAM (Gradient-weighted Class Activation Mapping) attention mechanism is introduced into the ASPP (Atrous Spatial Pyramid Pooling) module of the original network, enabling it to have better detection accuracy on datasets with high similarity among data samples;finally, the Lovasz Loss loss function is used to replace the cross-entropy loss function of the original network, effectively improving the smoothness of the segmentation of the exposed part of the idler roller. Experimental results show that the improved GAMDeeplabv3+ algorithm has increased the accuracy by 3.1% compared to the original algorithm, and the detection speed can reach 94.9 fps, meeting the accuracy requirements of the conveyor belt deviation detection task. © 2024 SPIE.

关键词： Convolutional neural networks

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PINN-based neural network for photoelastic stress recovery

PINN-based neural network for photoelastic stress recovery

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2023 Advanced Fiber Laser Conference, AFL 2023

作者： Lin, Peng Tao, Bo Wang, Yan Key Laboratory of Metallurgical Equipment and Control Technology Ministry of Education Wuhan University of Science and Technology Wuhan China Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering Wuhan University of Science and Technology Wuhan China Precision Manufacturing Institute Wuhan University of Science and Technology Wuhan China Research Center for Biomimetic Robot and Intelligent Measurement and Control Wuhan University of Science and Technology Wuhan China

ISBN: (纸本)9781510677661

Optical measurement techniques have emerged as a promising alternative to traditional invasive methods for stress recovery. Recent developments in artificial intelligence have enabled researchers to harness Physics-Informed Neural Networks (PINNs) for solving complex physics-based problems, including stress field recovery from photoelastic fringes. This paper explores the potential of PINNs for non-invasive stress analysis, presenting a novel methodology that integrates photoelastic fringes and physical stress distribution constraints within a deep learning framework. Our results demonstrate the model's robustness in handling diverse stress patterns and its ability to accurately recover stress distributions even when trained on significantly reduced datasets. A comparative analysis shows our PINN-based model's performance surpassing or closely matching existing methods like PhotoelastNet, underscoring its competitive advantage in stress recovery. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Stress concentration

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Object Detection with Depth Information in Road Scenes 8th

Object Detection with Depth Information in Road Scenes

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8th International Conference on Cognitive Systems and Information Processing, ICCSIP 2023

作者： Liu, Ruowang Chen, Xinbo Tao, Bo Key Laboratory of Metallurgical Equipment and Control Technology Ministry of Education Wuhan University of Science and Technology Wuhan China Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering Wuhan University of Science and Technology Wuhan China Precision Manufacturing Institute Wuhan University of Science and Technology Wuhan China Research Center for Biomimetic Robot and Intelligent Measurement and Control Wuhan University of Science and Technology Wuhan China

ISBN: (纸本)9789819980208

In recent years, depth estimation has witnessed significant advancements because of the development of deep learning. It's important to note that depth estimation tasks focus solely on predicting the depth of each pixel in an image and do not include object detection or object recognition. Depth estimation is the use of pixel transformations in the image to obtain distance information from each point in the scene to the camera to generate a depth map. Object detection is the process of classifying and localizing an image, given a picture, so as to identify the objects in the picture and determine their location. To overcome this limitation and integrate object detection into the depth estimation process, this paper proposes a novel self-supervised monocular depth estimation algorithm that leverages an attention mechanism. By combining object detection and depth estimation, a real-time multi-task model is designed to enable simultaneous detection and depth estimation of objects. The framework comprises four essential components: an object detection sub-network, a depth estimation sub-network, a lateral sharing unit, and an attention loss. These components work collaboratively to enhance distance estimation accuracy for objects and improve the object detection performance. Throughout experiments, it is evident that the proposed approach can effectively estimate distances to objects and enhances the accuracy of object detection. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Object detection

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Digital Transformation of Labor-Intensive Measurement Centers

Digital Transformation of Labor-Intensive Measurement Center...

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China Instrument and Control Society (ACCIS), Academic Conference of

作者： Canwei Li Lei Luan Xiao Cui Aviation Key Laboratory of Science and Technology on Precision Manufacturing Technology Beijing Precision Engineering Institute for Aircraft Industry Beijing China

ISBN: (数字)9798350350326

ISBN: (纸本)9798350350333

With the deep integration of new-generation information technology and the equipment manufacturing industry, labor-intensive inspection centers face numerous development opportunities and challenges. It is imperative to upgrade digitally to enhance inspection efficiency and the integrity of inspection data. This study explores the design and implementation of a digital inspection system aimed at streamlining inspection processes through automated data capture, facilitating real-time monitoring of production process data, and promoting a paperless environment through equipment networking and comprehensive data aggregation. The proposed system acts as a catalyst for improving production efficiency and enhancing quality management practices. The core of this research is to investigate methodologies for data acquisition, automated data entry, and real-time equipment monitoring, leveraging network technology, automation frameworks, and paperless workflows. The study further delves into modular system design principles, effective database management strategies, and intuitive user interfaces to ensure system scalability and operational simplicity. Through practical field deployment and in-depth data analysis, the system's performance was rigorously evaluated, verifying its proficiency and effectiveness. Additionally, this paper discusses the challenges encountered during implementation and outlines practical solutions to overcome these obstacles.

关键词： Digital transformation System performance Scalability Quality control Inspection User interfaces Solids Real-time systems manufacturing Standards

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The Effects of the Geometry of a Current Collector with an Equal Open Ratio on Output Power of a Direct Methanol Fuel Cell

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Energy Engineering 2024年第5期121卷 1161-1172页

作者： Yingli Zhu Jiachi Xie Mingwei Zhu Jun Zhang Miaomiao Li Tianjin Key Laboratory of Integrated Design and On-line Monitoring for Light Industry&Food Machinery and Equipment School of Mechanical EngineeringTianjin University of Science&TechnologyTianjin300222China Tianjin College University of Science and Technology BeijingTianjin301830China Jiangsu Key Laboratory of Precision and Micro-Manufacturing Technology College of Mechanical and Electrical EngineeringNanjing University of Aeronautics and AstronauticsNanjing210016China

The open ratio of a current collector has a great impact on direct methanol fuel cell(DMFC)*** a number of studies have investigated the influence of the open ratio of DMFC current collectors,far too little attention has been given to how geometry(including the shape and feature size of the flow field)affects a current collector with an equal open *** this paper,perforated and parallel current collectors with an equal open ratio of 50%and different feature sizes are designed,and the corresponding experimental results are shown to explain the geometry effects on the output power of the *** results indicate that the optimal feature sizes are between 2 and 2.5 mm for both perforated and parallel flow field in the current collectors with an equal open ratio of 50%.This means that for passive methanol fuel cells,to achieve the highest output power,the optimal feature size of the flow field in both anode and cathode current collectors is between 2 and 2.5 mm under the operating mode of this *** effects of rib and channel position are also investigated,and the results indicate that the optimum pattern depends on the feature sizes of the flow field.

关键词： Direct methanol fuel cell geometry open ratio current collector position

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