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Enhanced Shack–Hartmann wavefront sensor with propagation correction for freeform mirror measurement

Optics Letters 2025年第11期50卷 3708-3711页

作者： Yin, Xuao Chen, Peng Ma, Xiaorui Wu, Yunjie Cheng, Qiang Wang, Shixiang Kong, Lingbao Shanghai Engineering Research Center of Ultra-Precision Optical Manufacturing School of Information Science and Technology Fudan University Shanghai200438 China Changchun Institute of Optics Fine Mechanics and Physics Chinese Academy of Sciences Changchun130033 China University of Chinese Academy of Sciences Beijing100049 China State Key Laboratory of Advanced Manufacturing for Optical Systems Changchun130033 China

The Shack–Hartmann wavefront sensor (SHWS) is widely used due to its efficiency and reliability. Its accuracy in freeform mirror measurement is limited by wavefront propagation distortions and inaccuracies in conventional reflection mapping models. This Letter presents a propagation-correction SHWS (PC-SHWS) to address these challenges. The proposed method establishes a wavefront propagation-correction model (PC model) that combines wavefront backward tracing and phase-conjugate reflection wavefront mapping. Both simulations and experiments confirm the enhanced accuracy and stability of the proposed approach. © 2025 Optica Publishing Group. All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved.

关键词： 3D printing Beam splitters Microlens arrays Optical components Optical systems Wavefront distortions

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Bimanual gesture recognition based on convolution neural network

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International Journal of Wireless and Mobile Computing 2020年第4期18卷 311-319页

作者： Wu, Hao Li, Gongfa Sun, Ying Jiang, Guozhang Jiang, Du Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education Wuhan University of Science and Technology Wuhan Hubei China Research Centre for Biomimetic Robot and Intelligent Measurement and Control Wuhan University of Science and Technology Wuhan Hubei China Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education Institute of Precision Manufacturing Wuhan University of Science and Technology Wuhan Hubei China Research Centre for Biomimetic Robot and Intelligent Measurement and Control Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering Wuhan University of Science and Technology Wuhan Hubei China Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering Wuhan University of Science and Technology Wuhan Hubei China

Gesture recognition is a key research field in the human-computer interaction. At present, most of researchers focus on one-handed gesture recognition, but do not pay much attention to bimanual (two hands) gesture recognition. This paper presents a deep learning-based solution to tackle the self-occlusion and self-similarity. To solve this problem, this paper uses Kinect to collect many colour and depth images of different gestures, and each gesture contains multiple sample individuals. Colour images and depth images are used to train the recognition model of bimanual gesture respectively, and then the colour image and depth image are fused, and the bimanual gesture recognition model is trained based on colour image and depth image fusion. Then, the bimanual recognition effects of the three models are compared. The experimental results show that, regardless of the single gesture precision or the mean average precision, the bimanual gesture recognition effect of the fused model is better than the gesture recognition models based on either colour image or depth image. Copyright © 2020 Inderscience Enterprises Ltd.

关键词： Deep learning

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Research on Dust Removal Efficiency for Photovoltaic Panel Cleaning Robot Based on DDPM

Research on Dust Removal Efficiency for Photovoltaic Panel C...

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Robotics & Intelligent manufacturing technology (ISRIMT), International Symposium on

作者： Yuqian Zong Gang Zhao Kai He Feifei Zhang Junwen Chen Key Laboratory of Metallurgical Equipment and Control Technology (Wuhan University of Science and Technology) Ministry of Education Wuhan China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen P. R. China Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering (Wuhan University of Science and Technology) Wuhan China Shenzhen Key Laboratory of Precision Engineering Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen P. R. China Key Laboratory of Automotive Power Train and Electronics Hubei University of Automotive Technology Shiyan Hubei People's Republic of China

To address the challenge of cleaning rooftop photovoltaic panels with water, an innovative waterless dust removal cleaning robot has been designed. This study simulates the movement trajectory of gas-solid two-phase flow containing dust particles within a sealed enclosure based on Dense Discrete Phase Model (DDPM) of Fluent. The L16 Taguchi experimental method is adopted to analyze the dust removal characteristics under different conditions, including exit directions of the sealed enclosure, brush rotational speed and brush rotational direction. The particle velocity and the particle quantity are obtained to analyze the dust removal efficiency. The research shows that the impact of each processing parameter is ranked as follows: brush rotational speed, exit direction and brush rotational direction. The optimal dust removal efficiency is above 85% when the outlet is at the rear of the sealed enclosure, and the brush rotates clockwise at a speed of 5r/s.

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Customized heat treatment process enabled excellent mechanical properties in wire arc additively manufactured Mg-RE-Zn-Zr alloys

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International Journal of Extreme manufacturing 2024年第4期6卷 276-289页

作者： Dong Ma Chunjie Xu Shang Sui Yuanshen Qi Can Guo Zhongming Zhang Jun Tian Fanhong Zeng Sergei Remennik Dan Shechtman School of Materials Science and Engineering Xi'an University of TechnologyXi'anShaanxi 710048People's Republic of China Xi'an Shechtman Nobel Prize New Materials Institute Xi'an 710048People's Republic of China Xi'an Key Laboratory of Advanced Magnesium Alloy Additive Manufacturing and Precision Forming Xi'anShaanxi 710048People's Republic of China Department of Materials Science and Engineering and Guangdong Provincial Key Laboratory of Materials and Technologies for Energy Conversion Guangdong Technion—Israel Institute of TechnologyShantou 515063People's Republic of China MGM Nobel Prize New Materials Co. LtdTongchuan 727100People's Republic of China Department of Materials Science and Engineering Technion-Israel Institute of TechnologyHaifa 32000Israel Center for Nanoscience&Nanotechnology Hebrew University of JerusalemEdmond J.Safra CampusJerusalem 91904Israel

Customized heat treatment is essential for enhancing the mechanical properties of additively manufactured metallic materials,especially for alloys with complex phase constituents and heterogenous ***,the interrelated evolutions of different microstructure features make it difficult to establish optimal heat treatment ***,we proposed a method for customized heat treatment process exploration and establishment to overcome this challenge for such kind of alloys,and a wire arc additively manufactured(WAAM)Mg-Gd-Y-Zn-Zr alloy with layered heterostructure was used for feasibility *** this method,the optimal microstructures(fine grain,controllable amount of long period stacking ordered(LPSO)structure and nano-scaleβ'precipitates)and the corresponding customized heat treatment processes(520°C/30 min+200°C/48 h)were obtained to achieve a good combination of a high strength of 364 MPa and a considerable elongation of 6.2%,which surpassed those of other state-of-the-art WAAM-processed Mg ***,we evidenced that the favorable effect of the undeformed LPSO structures on the mechanical properties was emphasized only when the nano-scaleβ'precipitates were *** is believed that the findings promote the application of magnesium alloy workpieces and help to establish customized heat treatment processes for additively manufactured materials.

关键词： wire arc additive manufacturing heat treatment Mg-RE-Zn-Zr alloys LPSO structure mechanical properties

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A Novel Adaptive Chaotic Chimp Algorithm for Multi-Objective Milling Parameter Optimization

SSRN

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SSRN 2023年

作者： Wang, Liping Wei, Pengxuan Li, Weitao Du, Li School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu611731 China State Key Laboratory of Tribology Department of Mechanical Engineering Tsinghua University Beijing100084 China Beijing Key Lab of Precision/Ultra-precision Manufacturing Equipment and Control Beijing100084 China

Machine tools play a vital role in the manufacturing industry, and the milling parameters of machine tools directly affect their performance. Suitable milling parameters can not only improve processing efficiency, but also reduce the energy consumption of the machine tool. Traditionally, the selection of milling parameters usually relies on the experience of workers. However, the parameters selected in this way are conservative and cannot maximize the performance of the machine tool. To address these deficiencies, a novel adaptive chaotic multi-objective chimp algorithm based on the 2D Halton sequences is proposed in this study. First, the processing power and efficiency models are established and corrected. Subsequently, the concept of Pareto optimal solution is introduced according to the above models to establish a multi-objective optimization model integrating the processing power and time. To solve the optimization problem, the adaptive chaotic multi-objective chimp algorithm with a fast convergence speed and satisfactory optimization is proposed considering three aspects: search space, convergence factor, and chaotic mapping. Finally, a comparative experimental analysis is conducted. Compared with the optimization results of the three existing algorithms, the optimal solution set of the milling parameters obtained by the proposed algorithm results in higher processing efficiency of machine tools and lower processing energy consumption. © 2023, The Authors. All rights reserved.

关键词： Multiobjective optimization

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Remaining Useful Life Prediction with Spatio-Temporal Graph Transform and Weakly Supervised Adversarial Network: An Application in Power Components

SSRN

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SSRN 2024年

作者： Deng, Shuhan Lan, Hao Yue, Ke Chen, Zhuyun Zhang, Xuning Huang, Ruyi Huang, Zhicong Li, Weihua Shien-Ming Wu School of Intelligent Engineering South China University of Technology Guangzhou China School of Mechanical & Automotive Engineering South China University of Technology Guangzhou China State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment Guangdong University of Technology Guangzhou China Department of Industrial Engineering and Decision Analytics The Hong Kong University of Science and Technology Hong Kong College of Computing and Data Science Nanyang Technological University Singapore Singapore

Predictive maintenance is crucial for improving the reliability of power components and having attracted widespread attention, for which remaining useful life (RUL) prediction is a precondition. Owing to the heterogeneity of the power components, accuracy RUL prediction through different components remains challenging. To make things worse, the structural property of the data itself is also neglected. Herein, take the insulated gate bipolar transistors (IGBTs) as the sample, a novel RUL prediction framework is proposed in this paper. In brief, a time window and Radius distance metric function is adopted to generate graph information matrix. Specifically, spatio-temporal fusion graph network (STFGN) is proposed to obtain unique IGBTs data structure information and incorporate past and future moments aging features to construct health index (HI). Then, weakly supervised adversarial learning strategy is considered to realize the cross-domain RUL prediction, which conditional domain adaptation (CDA)-based adversarial method is adopted to reduce distribution discrepancies between distinct domains and weakly supervised training strategy with some target domain labels is also used to enhance positive transfer. Moreover, the proposed method is proved by four transfer tasks and the results show that overcomes the challenge of unavailability of labeled failure samples and outperforms state-of-the-art methods. © 2024, The Authors. All rights reserved.

关键词： Forecasting

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Efficient generation of vectorial terahertz beams using surface-wave excited metasurfaces

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Opto-Electronic science 2025年第1期4卷 1-11页

作者： Zhuo Wang Weikang Pan Yu He Zhiyan Zhu Xiangyu Jin Muhan Liu Shaojie Ma Qiong He Shulin Sun Lei Zhou State Key Laboratory of Surface Physics and Key Laboratory of Micro and Nano Photonic Structures(Ministry of Education) Fudan UniversityShanghai 200433China Shanghai Engineering Research Centre of Ultra Precision Optical Manufacturing Department of Optical Science and EngineeringSchool of Information Science and TechnologyFudan UniversityShanghai 200433China Shanghai Key Laboratory of Metasurfaces for Light Manipulation Shanghai 200433China Yiwu Research Institute of Fudan University Chengbei RoadYiwu City 322000China.

On-chip devices for generating pre-designed vectorial optical fields(VOFs)under surface wave(SW)excitations are highly desired in integrated ***,conventional devices are usually of large footprints,low efficiencies,and limited wave-control ***,we present a generic approach to design ultra-compact on-chip devices that can efficiently generate pre-designed VOFs under SW excitations,and experimentally verify the concept in terahertz(THz)*** first describe how to design SW-excitation metasurfaces for generating circularly polarized complex beams,and experimentally demonstrate two meta-devices to realize directional emission and focusing of THz waves with oppo-site circular polarizations,*** then establish a systematic approach to construct an integrated device via merging two carefully designed metasurfaces,which,under SW excitations,can separately produce pre-designed far-field patterns with different circular polarizations and generate target VOF based on their *** a proof of con-cept,we demonstrate experimentally a meta-device that can generate a radially polarized Bessel beam under SW excita-tion at~0.4 *** results agree well with full-wave simulations,collectively verifying the performance of our *** study paves the road to realizing highly integrated on-chip functional THz devices,which may find many ap-plications in biological sensing,communications,displays,image multiplexing,and beyond.

关键词： surface waves vector beam multi-pixel metasurface terahertz ultrathin and high-efficiency

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A Double Node Thin-Film Thermocouples for In-Situ Measurement

A Double Node Thin-Film Thermocouples for In-Situ Measuremen...

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Automation, Robotics and Computer Engineering (ICARCE), International Conference on

作者： Rong Ma Meiju Zhang Zhongkai Zhang Manguo Huang Xiaobo Liang Jiangjiang Liu Zhaojun Liu Bian Tian State Key Laboratory for Mechanical Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an China Beijing Changcheng Aeronautic Measurement and Control Technology Research Institute Aviation Key Laboratory of Science and Technology on Special Condition Monitoring Sensor Technology Beijing China

ISBN: (纸本)9781665475495

The design, fabrication, testing and implementation of a new high-performance tungsten-rhenium thin film thermocouple are introduced. In this paper, tungsten-rhenium TFTCs are taken as the research object, after simulation analysis in COMSOL software and design, it is made by screen-printing technology and magnetron sputtering. This kind of thin film thermocouple primarily utilizes two kinds of electrode materials with varying composition combination, mainly tungsten with 5% rhenium and tungsten with 26% rhenium. Furthermore, high-temperature annealing is performed to maintain the mechanical properties and thus improve thermoelectric performance. The results demonstrate that the performance is reliable in the temperature range of 150-600 C° with a repeatability of 2.02%, providing application value for high-temperature in-situ sensing.

关键词： Temperature measurement Temperature distribution Thermocouples Tungsten Robot sensing systems Software Sensors

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Research Progress on the Intervention of Food-borne Polyphenols in Alcoholic Liver Disease

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Journal of Chinese Institute of Food science and technology 2024年第5期24卷 479-491页

作者： Zilin, Wang Liang, Tao Min, Yang Yuanli, Wang Yue, Wang Yang, Tian College of Food Science and Technology Yunnan Agricultural University Kunming650000 China Eng. Research Center for the Development and Utilization of Food and Medicine Homologous Resources Kunming650000 China Yunnan Province Medicine and Food Homologous Functional Food Engineering Research Center Kunming650000 China Yunnan Key Laboratory of Precision Nutrition and Personalized Food Manufacturing Kunming650000 China

Alcoholic liver disease is a liver disease caused by heavy or high frequency of alcohol consumption, which initially manifests as alcoholic fatty liver, and progresses to alcoholic hepatitis, cirrhosis, and even liver cancer. Alcoholism can lead to liver cell death and liver failure. At present, the search for effective active ingredients to prevent or improve alcoholic liver disease has become a research hotspot. Polyphenols are widely found in vegetables, fruits, cereals et al., and affect the intervention of alcoholic liver disease. However, the intervention effect on alcoholic liver disease has rarely been systematically discussed. In this review, the pathogenesis of alcoholic liver disease and the regulation mechanism of food-borne polyphenols that could interfere with alcoholic liver injury were summary to provide a theoretical basis for the research and develop polyphenol health food with the effect of alleviating alcoholic liver injury. © 2024 Chinese Institute of Food science and technology. All rights reserved.

关键词： Cell death

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Macroscopic effects on the Terahertz generation from the two-color filamentation

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Optics Express 2025年第12期33卷 26628-26640页

作者： Zhi-Hong Jiao Xin-Xin Zhang Sheng Zhang Jin-Xu Du Guo-Li Wang Song-Feng Zhao Yizhu Zhang Yuhai Jiang Key Laboratory of Atomic and Molecular Physics and Functional Materials of Gansu Province College of Physics and Electronic Engineering Northwest Normal University Lanzhou 730070 China School of Intelligent Manufacturing Nanjing University of Science and Technology Jiangyin 214443 China School of Precision Instrument and Optoelectronics Engineering Tianjin University Tianjin 300072 China Shanghai Advanced Research Institute Chinese Academy of Sciences Shanghai 201210 China Center for Transformative Science and School of Physical Science and Technology ShanghaiTech University Shanghai 201210 China

We recently investigated the influence of laser propagation in gas medium on Terahertz (THz) yield. The dependence of THz yield on the distance between two spatially discrete foci was reproduced when the two collimated driver beams were focused separately. In this study, we further account of the THz field propagation and the interference of local THz sources in the far field; thus, the THz spectra are even reproduced successfully. We provide full explanations for the spectral characteristics of THz radiation generated by using two different driver configurations of overlapping and separating foci. The spectral broadening using the separating foci driver mainly benefits from the improvement of phase matching in the far field due to adjusting the amplitude and phase distribution of the driver beam. Our theoretical modeling effectively validates the availability of the photocurrent model for THz radiation across a wide spectral range.

关键词： Effective refractive index Four wave mixing Gas lasers Laser beams Phase matching Phase shift

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