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OPTIMISATION OF SELF-PUNCHING RIVETING PROCESS PARAMETERS FOR HIGH-SPEED RAIL TOP PLATES

UPB Scientific Bulletin, Series D: Mechanical Engineering 2022年第4期84卷 197-210页

作者： Zheng, Qingchun Guo, Chengmin Zhu, Peihao Liu, Jiaqi Ma, Wenpeng Zhao, Shuoshuo Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China China

To improve the quality of self-pierce riveted joints, this paper uses a multi-objective optimisation method that incorporates a quadratic polynomial response surface model and the NSGA-II algorithm to optimise the parameters of the self-pierce riveting process. First, we carry out finite element simulations of the self-pierce riveted joint to determine the main factors affecting the quality of the joint forming through sensitivity analysis, and specify the optimum range of each parameter. Second, we use central composite design experiments to establish a quadratic polynomial response surface model. Third, we optimise the multi-objective model by using the NSGA-II algorithm and obtain the Pareto optimal solution. Finally, we use cross-sectional measurement and mechanical properties experiments to verify the feasibility of optimising the self-pierce riveted joint. The experimental results show that the bottom thickness increases by 24.7%, the undercut amount by 14.5%, and the tensile shear force by 27% compared to the pre-optimisation period. The quality of the riveted joints was significantly improved after optimisation, laying a good foundation for improving the safety of high-speed railway bodies. © 2022, Politechnica University of Bucharest. All rights reserved.

关键词： Multiobjective optimization

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STUDY ON THE CENTERLINE EXTRACTION METHOD OF WELD IMAGE LINE STRUCTURED LIGHT STRIPE

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical Engineering and Computer Science 2022年第1期84卷 21-32页

作者： Zheng, Qingchun Liu, Qipei Zhu, Peihao Ma, Wenpeng Liu, Jingna Li, Xiaoyang Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China China

In practice, using vision measurement technology based on structured light to reconstruct the complex weld is a feasible way for providing the essential parameters for the welding polishing robot and guiding it to grind the weld by force control. In this paper, we represent a method to extract the centerline of structured light stripe in weld image. First, obtains the high-quality light stripe image using an industrial camera outfitted with a filter and preprocessed to isolate the entire structured light stripe from the background image. Second, using the weighted gray centroid method, roughly extract the original stripe center to obtain the initial point of the stripe center. Then, using principal component analysis, find the normal direction of the light stripe and calculate the gray distribution function of the stripe using second-order Taylor expansion along the normal direction to obtain the correct position of the stripe center. Finally, use cubic spline interpolation to create a smooth centerline. The testing results suggest that this method outperforms the Steger algorithm in terms of speed and extraction accuracy when compared to the classic gray centroid method. These works set the foundation for real-time 3D reconstruction of welds. © 2022, Politechnica University of Bucharest. All rights reserved.

关键词： Principal component analysis

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ADAPTIVE BOUNDARY CONTROL VIBRATION SUPPRESSION OF FLEXIBLE MANIPULATOR BASED ON IMPROVED RBF NEURAL NETWORK

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UPB Scientific Bulletin, Series D: Mechanical Engineering 2024年第2期86卷 3-18页

作者： Zheng, Qingchun Wei, Zhiyong Zhu, Peihao Ma, Wenpeng Deng, Jieyong Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin University of Technology Tianjin300384 China China School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China Jiangxi Technical College of Manufacturing Jiangxi Nanchang330095 China

With lighter weight, lower power consumption, and higher flexibility, flexible manipulators have been widely used in industrial fields. However, it is easy to produce elastic deformation, resulting in vibration. In this paper, an improved radial basis function (RBF) neural network (NN) for adaptive boundary control is proposed. The partial differential equation (PDE) model of the flexible manipulator is established, and the asymptotic stability of the system is proved by the first Lyapunov method. Finally, simulation results show that the proposed control method can eliminate the low-amplitude angular fluctuation and the high-amplitude angular velocity fluctuation. © 2024, Politechnica University of Bucharest. All rights reserved.

关键词： Flexible manipulators

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IABC: An iteratively automatic machine learning boosted hand-eye calibration method for laser displacement sensor

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Chinese Journal of Aeronautics 2023年第8期36卷 422-453页

作者： Helin LI Bin LIN Tianyi SUI Liang XU Chen ZHANG Shuai YAN Yang WANG Xinquan HAO Deyu LOU School of Mechanical Engineering Ministry of EducationTianjin UniversityTianjin 300350China International Institute for Innovative Design and Intelligent Manufacturing of Tianjin University Shaoxing 312000China Science and Technology of Advanced Functional Composite Laboratory Aerospace Research Institute of Materials and Processing TechnologyBeijing 100076China Key Laboratory of Advanced Ceramics and Machining Technology of Ministry of Education Tianjin UniversityTianjin 300072China

An on-machine measuring(OMM)system with a laser displacement sensor(LDS)is designed for measuring free-form surfaces of hypersonic aircraft’s *** improve the measurement accuracy of the OMM system,a novel Iteratively Automatic machine learning Boosted hand-eye Calibration(IABC)method is *** the hand-eye relationship and LDS measurement errors can be calibrated in one calibration process without any hardware changes via ***,a new objective function is derived,containing analytical parameters of the handeye relationship and LDS ***,a hybrid calibration model composed of two kernels is proposed to solve the objective *** kernel is the analytical kernel designed for solving analytical *** kernel is the automatic machine learning(AutoML)kernel designed to model LDS *** two kernels are connected with stepwise iterations to find the best calibration *** with traditional methods,hand-eye experiments show that IABC reduces the calibration RMSE by about 50%.Verification experiments show that IABC reduces the measurement deviations by about 25%-50%and RMSEs within 40%.Even when the training data are obviously less than the test data,IABC performs *** demonstrate that IABC is more accurate than traditional hand-eye methods.

关键词： Hand-Eye Calibration Laser Displacement Sensor Machine learning Measurement errors On-Machine Measurement

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An asymmetrically substituted dithieno[3,2-b:2',3'-d]pyrrole organic small-molecule hole-transporting material for high-performance perovskite solar cells

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Chinese Journal of Chemical Engineering 2022年第5期35卷 51-57页

作者： Jingwen Jia Yue Zhang Liangsheng Duan Quanping Wu Yu Chen Song Xue Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical EngineeringTianjin University of TechnologyTianjin 300384China Tianjin Key Laboratory of Organic Solar Cells and Photochemical Conversion Department of Applied ChemistryTianjin University of TechnologyTianjin 300384China

Hole-transporting materials play a vital role in terms of the performance of perovskite solar cells(PSCs).The dithieno[3,2-b:2’,3’-d]pyrrole(DTP),an S,N-heterocyclic building block,has been proved to be desirable for molecular design of hole-transporting materials in *** developed an asymmetrically substituted DTP small-molecule(JW12)and a reference compound(JW11).The asymmetrical structure of JW12 leads to different absorption properties and electron *** device in a planar n-i-p architecture using JW12 shows a much higher PCE(18.07%)than that based on JW11(15.46%),which is also better than the device based on spiro-OMe TAD(17.47%).We hope our research can provide a new perspective in molecular design of organic HTMs for perovskite solar cells.

关键词： Hole-transporting materials DTP Perovskite Photovoltaic performance

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A theoretical and deep learning hybrid model for predicting surface roughness of diamond-turned polycrystalline materials

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International Journal of Extreme Manufacturing 2023年第3期5卷 620-644页

作者： Chunlei He Jiwang Yan Shuqi Wang Shuo Zhang Guang Chen Chengzu Ren Tianjin Key Laboratory of Equipment Design and Manufacturing Technology Department of Mechanical EngineeringTianjin UniversityTianjin 30054People’s Republic of China Department of Mechanical Engineering Keio UniversityYokohama 223-8522Japan Tianjin Key Laboratory of the Design and Intelligent Control of the Advanced Mechatronical System School of Mechanical EngineeringTianjin University of TechnologyTianjin 300384People’s Republic of China School of Mechanical Engineering Yanshan UniversityQinhuangdao 066004People’s Republic of China

Polycrystalline materials are extensively employed in *** surface roughness significantly affects the working *** defects,particularly grain boundaries,have a great impact on the achieved surface roughness of polycrystalline ***,it is difficult to establish a purely theoretical model for surface roughness with consideration of the grain boundary effect using conventional analytical *** this work,a theoretical and deep learning hybrid model for predicting the surface roughness of diamond-turned polycrystalline materials is *** kinematic–dynamic roughness component in relation to the tool profile duplication effect,work material plastic side flow,relative vibration between the diamond tool and workpiece,etc,is theoretically *** material-defect roughness component is modeled with a cascade forward neural *** the neural network,the ratio of maximum undeformed chip thickness to cutting edge radius RT S,work material properties(misorientation angle θ_(g) and grain size d_(g)),and spindle rotation speed n s are configured as input *** material-defect roughness component is set as the output *** validate the developed model,polycrystalline copper with a gradient distribution of grains prepared by friction stir processing is machined with various processing parameters and different diamond *** with the previously developed model,obvious improvement in the prediction accuracy is observed with this hybrid prediction *** on this model,the influences of different factors on the surface roughness of polycrystalline materials are *** influencing mechanism of the misorientation angle and grain size is quantitatively *** fracture modes,including transcrystalline and intercrystalline fractures at different RTS values,are ***,optimal processing parameters are obtained with a simulated annealing *** experiments are performed with

关键词： diamond turning material-defect roughness component polycrystalline copper neural network simulated annealing algorithm

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Welding Seam Image Dust Removal Algorithm Based on Fusion of Dual-scale Dark Channel and Bright Channel

IAENG International Journal of Computer Science

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IAENG International Journal of Computer Science 2021年第2期48卷 1-8页

作者： Zheng, Qingchun Zhang, Zhidong Liu, Jingna Zhu, Peihao Ma, Wenpeng Professor in the Key Laboratory of Advanced Mechatronic System Design and Intelligent Control Tianjin University of Technology Tianjin300384 China Postgraduate student in the Key Laboratory of Advanced Mechatronic System Design and Intelligent Control Tianjin University of Technology Tianjin300384 China A Lecturer in the Key Laboratory of Advanced Mechatronic System Design and Intelligent Control Tianjin University of Technology Tianjin300384 China An Assistant Professor in the Key Laboratory of Advanced Mechatronic System Design and Intelligent Control Tianjin University of Technology Tianjin300384 China

The dust removal technology of welding seam image has important practical significance for promoting the development of weld instance segmentation and target tracking. In this paper, we propose a welding seam image dust removal algorithm based on fusion of dual-scale dark channel and bright channel, which is to solve the problem that the color distortion and halo effect of dark channel prior image restoration algorithm in weld depth of field sudden change area and bright region. Firstly, the results of the minimum filtering of two scale windows are adaptively weighted and fused to obtain the fused dark channel. Secondly, the dark channel prior and the bright channel prior fusion strategy is adopted to obtain the fused atmospheric light to make the rough transmittance estimation more accurate. Finally, the weighted guided filtering is combined with up-sampling and down-sampling to optimize the rough transmittance, and the weld image is restored by combining the atmospheric scattering model. The experimental results indicate that our algorithm can restore the color and edge details of welding seam images and effectively suppress the halo effect. The objective comparison with several typical algorithms proves the feasibility and superiority of the proposed algorithm. © 2021. All Rights Reserved.

关键词： Image reconstruction

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Hierarchically Micro/Nanostructured Current Collectors Induced by Ultrafast Femtosecond Laser Strategy for High-Performance Lithium-ion Batteries

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Energy & Environmental Materials 2022年第3期5卷 969-976页

作者： Yaya Wang Zexu Zhao Jiang Zhong Tao Wang Lei Wang Hanjiao Xu Jinhui Cao Jinhao Li Guanhua Zhang Huilong Fei Jian Zhu State Key Laboratory for Chemo/Biosensing and Chemometrics College of Chemistry and Chemical EngineeringHunan Key Laboratory of TwoDimensional MaterialsEngineering Research Center of Advanced CatalysisMinistry of EducationHunan UniversityChangsha 410082China State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan Provincial Key Laboratory of Intelligent Laser ManufacturingHunan UniversityChangsha 410082China College of Mechanical and Vehicle Engineering Hunan UniversityChangsha 410082China

Commercial Cu and Al current collectors for lithium-ion batteries(LIBs)possess high electrical conductivity,suitable chemical and electrochemical ***,the relatively flat surface of traditional current collectors causes weak bonding strength and poor electrochemical contact between current collectors and electrode materials,resulting in potential detachment of active materials and rapid capacity degradation during extended ***,we report an ultrafast femtosecond laser strategy to manufacture hierarchical micro/nanostructures on commercial Al and Cu foils as current collectors for high-performance *** hierarchically micro/nanostructured current collectors(HMNCCs)with high surface area and roughness offer strong adhesion to active materials,fast electronic delivery of entire electrodes,significantly improving reversible capacities and cyclic stability of HMNCCs based ***,LiNi_(0.5)Co_(0.2)Mn_(0.3)O_(2)(NCM523)cathode with Al HMNCC generated a high reversible capacity after 200 cycles(25%higher than that of cathode with Al CC).Besides,graphite anode with Cu HMNCC also maintained prominent reversible capacity even after 600 ***,the full cell assembled by graphite anode with Cu HMNCC and NCM523 cathode with Al HMNCC achieved high reversible capacity and remarkable cycling stability under industrial-grade mass *** study provides promising candidate for achieving high-performance LIBs current collectors.

关键词： currentcollectors femtosecondlaserstrategy hierarchical micro/nanostructures high rate performance lithium-ion battery

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Development and Implementation of a Wisdom Course Utilizing the "teaching-Innovation-Competition" Model within the Virtual Teaching and Research Section of Mechatronic Engineering Major in China 24

Development and Implementation of a Wisdom Course Utilizing ...

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3rd International Conference on Artificial Intelligence and Education, ICAIE 2024

作者： Chen, Wei Ma, Wenpeng Hu, Wenhua Liu, Fulong Zhang, Xiaotao Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin China Tianjin University of Technology Tianjin China

ISBN: (纸本)9798400712692

A new teaching model of teaching-innovation-competition is presented and a wisdom course based on this model is developed for mechatronics engineering majors, mainly to deal with several existing problems such as limited experimentation and lack of innovative inspiration in Chinese universities. This study elaborates the course objectives and structure of curriculum system, including digitalized teaching content, project-driven teaching means, innovation platform, web-based resource support, team competition and diversified evaluation method. Through a teaching case study within mechatronic engineering major, the teaching mechanism and achievements are demonstrated. The study results indicate that the proposed teaching mode based on the virtual teaching and research section, significantly improves students' innovation ability and the teaching effects, compared to traditional teaching methods. This teaching mode can also be extended to other majors for reference. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Teaching

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MFN: Explainable DNA triple helixes Stabilized design based on mCGR and flow network

MFN: Explainable DNA triple helixes Stabilized Design based ...

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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Wen, Xiaoru Sun, Lijun Xie, Lei Zheng, Yanfen Cao, Ben Wang, Bin Dalian University Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education School of Software Engineering Dalian China Dalian University of Technology School of Computer Science and Technology Dalian China

ISBN: (纸本)9798350386226

DNA triple helix structure, as a highly specific gene targeting tool, enable gene regulation by precisely identifying and binding to target DNA sequences. However, the limits of design quality and efficiency affect their wide application in gene therapy. Therefore, in this paper, we propose an antiparallel DNA triple helixes design method-MFN based on matrix chaotic game representation (mCGR) and flow network. Leveraging the structural characteristics of DNA sequences, this method employs the mCGR algorithm to construct an initial matrix, generating a set of DNA sequences that conform to foundational constraints. Then, these sequences are mapped as stream network nodes to screen crosstalk structures by path search, and the whole process is observable and interpretable. Experimental results show that MFN significantly improves the design efficiency of triple helix structure and reduces crosstalk phenomenon. Wet experiments further verify the effectiveness of the method. In summary, MFN achieves an efficient and high-quality design of DNA triple helixes and provides a new idea for targeted gene therapy. © 2024 IEEE.

关键词： Crosstalk

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