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Data-Driven Prediction of Coefficient of Friction in Wet Friction Components: A Model Development and Interpretability Analysis

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Journal of Tribology 2025年第7期147卷 074601页

作者： Wu, Jianpeng Zhao, Peng Cui, Jiahao Wang, Liyong Yang, Chengbing Ouyang, Jianping Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University 12 Xiaoying East Road Haidian District Beijing100192 China School of Mechanical and Engineering University of Science and Technology Beijing 30 Xueyuan Road Haidian District Beijing100083 China Mechanical Electrical Engineering School Beijing Information Science and Technology University 12 Xiaoying East Road Haidian District Beijing100192 China

Predicting the coefficient of friction (COF) is essential for enhancing the efficiency and reliability of mechanical systems. Nevertheless, traditional mechanistic models relying on fixed values or fitted curves fail to accurately capture this complexity. To address this issue, this paper proposes a model for predicting the COF of wet friction components using an extreme gradient boosting (XGBoost) algorithm optimized by the sparrow search algorithm (SSA). This model effectively captures the nonlinear relationships among relative speed, pressure, temperature, and COF. As a result, the proposed SSA-XGBoost model exhibits excellent predictive performance with a root mean square error (RMSE) of only 0.063, and 88.3% of the COF predictions have a relative error of less than 1%, significantly outperforming other deep-learning algorithms. Additionally, to enhance the understanding of the COF prediction results for wet friction components, the SHapley Additive exPlanations (SHAP) model is used to explore the influence of relative speed, pressure, and temperature on the predicted COF values. Copyright © 2024 by ASME.

关键词： Deep learning

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Green anti-solvent modulation of the growth of binary FAXMA1-X tin-based perovskite and their photovoltaic properties

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The European Physical Journal B 2025年第1期98卷 1-11页

作者： Deng, Longtao He, Linfeng Chen, Xinyao Cheng, Jin Zhang, Chunqian Li, Zhenjun Li, Junming Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China Beijing Key Laboratory for Sensor School of Science Beijing Information Science and Technology University Beijing China Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument Beijing Information Science and Technology University Beijing China CAS Key Laboratory of Standardization and Measurement for Nanotechnology CAS Key Laboratory of Nanophotonic Materials and Devices (Preparatory) National Center for Nanoscience and Technology Beijing China

Tin-based perovskite represents a highly promising alternative to lead-based perovskite, offering a number of significant advantages. These include non-toxicity, high absorbance, and excellent photovoltaic properties. The use of the toxic anti-solvent chlorobenzene (CBZ) in the preparation of tin-based perovskite thin films has the dual disadvantage of increasing the environmental hazards and the cost of subsequent treatment. The use of acetic acid (HAc) as a green anti-solvent has been demonstrated to effectively regulate the crystallization process of tin-based perovskite FASnI3, resulting in the preparation of perovskite films of superior quality. To further enhance the performance of tin-based perovskite, Zhao et al., organic cation mixing was used to add MAI to the FASnI3 system and optimize the ratio, resulting in an optimal ratio of FA (0.75) MA (0.25) (FA = NH2CH = NH2+, MA = CH3NH3+) (Zhao et al. Adv Sci 4(11):1700204, 2024). In this study, we choose the crystallization process during the preparation of binary FA0.75MA0.25SnI3 perovskite using a green anti-solvent HAc. The findings demonstrated that HAc was capable of influencing the crystallization of binary tin-based perovskite, facilitating the formation of perovskite films with minimal pinholes and enhanced uniformity and crystallinity. Additionally, the resulting perovskite exhibits a band gap of 1.35 eV, which is in close alignment with the predicted ideal band gap as postulated by Schottky's theory. Furthermore, it displays enhanced hydrophobic properties. In the binary perovskite photovoltaic device prepared using the anti-solvent HAc, the maximum device efficiency reached 3.62%. The findings of this study will contribute to the understanding of the crystallization process of diverse perovskite materials in the presence of a green anti-solvent.

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Curve-Suppression-Based Event-Triggered Mechanisms for Quasi-Synchronization of Fuzzy Delayed Neural Networks on Time Scales

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IEEE Transactions on Systems, Man, and Cybernetics: Systems 2025年第5期55卷 3174-3187页

作者： Wan, Peng Zhou, Yufeng Zeng, Zhigang Lai, Jingang Wuhan University of Science and Technology School of Artificial Intelligence and Automation Engineering Research Center of Metallurgical Automation and Measurement Technology Wuhan430081 China Huazhong University of Science and Technology School of Artificial Intelligence and Automation Key Laboratory of Image Processing and Intelligent control of Education Ministry of China Wuhan430074 China

The vast majority of published event-triggered mechanisms (ETMs) are constructed based on measurement errors, which introduces a problem naturally that they are updated when the measurement errors exceed the thresholds although the current obtained sampling states can make systems converge well. With this problem in mind, we redesign ETMs for quasi-synchronization of T-S fuzzy neural networks (FNNs) with time delays on time scales. First, a novel ETM is designed for continuous-time FNNs with time-varying delays to achieve quasi-synchronization, with which synchronization errors is suppressed to globally exponentially converge to a ball. Second, we introduce the ETM for continuous-time FNNs to discrete-time FNNs, owing to the existence of discrete-time states, the Lypunov function of synchronization errors run over the exponentially decay curve, but it can be suppressed to evolve under another exponentially decay curve. Third, for FNNs on time scales with constant and time-varying delays, we estimate the forward jump operator of the Lyapunov functions and design ETMs to guarantee that the Lypunov functions evolve under the exponentially decay curves, so quasi-synchronization can be achieved. Last but not least, we prove that Zeno behavior will not happen and four numerical examples are introduced to verify the validity and the superiority of the proposed ETMs in reducing information transmission. © 2013 IEEE.

关键词： Continuous time systems

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Calibration of the Solar X-ray Detector on-board the Macao Science Satellite-1B for Soft X-ray Detection

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Science China Earth Sciences 2025年第1期68卷 11-26页

作者： Man-Hei NG Xiaoping ZHANG Jianwu CHEN Yongqiang SHI Fuchang ZUO Wenxi PENG Weichun FU Liansheng LI Pengwei LUO Chi-Long TANG Guozheng ZHANG Zhiwu MEI Li WANG Cunhui LI Jiaming OU Yanyan Xu State Key Laboratory of Lunar and Planetary Sciences Macao University of Science and TechnologyMacao999078China Space Optoelectronic Measurement and Perception Laboratory Beijing Institute of Control EngineeringBeijing100190China Institute of High Energy Physics Chinese Academy of SciencesBeijing100049China Science and Technology on Vacuum Technology and Physics Laboratory Lanzhou Institute of PhysicsLanzhou730000China China National Space Administration(CNSA) Macao Center for Space Exploration and ScienceMacao999078China

The Solar X-ray Detector(SXD)on-board the Macao Science Satellite-1B(MSS-1B)was successfully launched via the Chinese Long March-2C rocket on 21 May 2023,and commenced operations in early June of the same *** MSS-1B/Soft X-ray Detection Units(SXDUs)employ two silicon drift detectors(SDDs),providing a wide range of energy spectra spanning from 0.7 to 24 ***,the SXDUs deliver a high-resolution capability of 0.14 keV@5.9 keV and operate with a time cadence of 1 ***,we perform thorough calibrations of the MSS-1B/SXDUs,employing a combination of ground experiments and *** addition,quantitative analysis comparing the flux measurements obtained by the MSS-1B/SXDUs to the data collected by the Geostationary Operational Environmental Satellite(GOES),provides compelling evidence of their ***,the preliminary spectral analysis results showcase the robustness and expected performance of the MSS-1B/SXDUs,unlocking their potential for facilitating the study of dynamic evolution of solar ***,the innovative MSS-1B/Solar X-ray Detector facilitates concurrent observations of solar soft and hard X-rays,thereby making valuable contributions to the advancements in solar research.

关键词： Macao Science Satellite-1B(MSS-1B) Calibration Solar X-Ray Detector Spectrometer Soft X-rays Solar flares Solar abundances

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Fluorescence sensor based on IFE between AEP@UCNPs and oxTMB for the determination of Cd^(2+)in paddy rice combined with HRP enzyme inhibition mechanism

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Food Science and Human Wellness 2025年第1期14卷 154-160页

作者： Haizhen Ding Shuai Hou Siqi Zhao Liping Guo Ao Sun Qiuhui Hu Leiqing Pan Qiang Liu Chao Ding Collaborative Innovation Center for Modern Grain Circulation and Safety Key Laboratory of Grains and Oils Quality Control and ProcessingCollege of Food Science and EngineeringNanjing University of Finance and EconomicsNanjing 210023China College of Food Science and Technology Nanjing Agricultural UniversityNanjing 210095China

Cadmium ion(Cd^(2+))detection technology plays a prominent role in food safety and human ***,we designed and constructed an 2-aminoethyl dihydrogen phosphate(AEP)@upconversion nanoparticles(UCNPs)fluorescence sensor for quantitative detection of Cd^(2+)in paddy rice based on inner filter effect(IFE)combined with enzyme inhibition *** AEP modification UCNPs can offer a stable fluorescence donor at 658 nm and be quenched by the oxidized tetramethylbenzidine(oxTMB)catalyzed by horseradish peroxidase(HRP)*** addition of Cd^(2+),the fluorescence of AEP@UCNPs fluorescence sensor was weaken due to the IFE between AEP@UCNPs and *** addition of Cd^(2+),HRP enzyme activity was inhibited by Cd^(2+),leading to the decreased oxTMB,resulting in the enhance upconversion fluorescence *** a result,the fluorescence intensity signal at 658 nm of the IFE-based AEP@UCNPs fluorescence sensor increased linearly with the increase in Cd^(2+)in a wide range from 0.5μmol/L to 6μmol/L and the limit of detection(LOD)was 24.6 n mol/*** addition,our proposed IFE-based AEP@UCNPs fluorescence sensor can achieve Cd^(2+)detection in paddy rice in 30 min.

关键词： Paddy rice Cd^(2+) Enzyme inhibition Upconversion nanoparticles(UCNPs) Inner filter effect(IFE)

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Study on the damage effect of the external components of typical armored vehicles under ballistic impact load

Study on the damage effect of the external components of typ...

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2024 International Conference on Mechatronic Engineering and Artificial Intelligence, MEAI 2024

作者： Liu, Jian Zhang, Dongjiang Tan, Yilun Jing, Tong Li, Jianan Xi'an Modern Control Technology Research Institute Shanxi Xi'an710065 China National Key Laboratory of Land and Air Based Information Perception and Control Shanxi Xi'an China

ISBN: (纸本)9781510689176

In order to study the damage effect of typical armored vehicle exterior components under ballistic impact load, it is used to simulate the damage process of LS-DYNA. In order to obtain the influence law of strong impact load on the external components of typical armored vehicles, the kinetic energy bomb and armored vehicle model are established for simulation, and the damage effect of typical armored vehicles under strong impact overload is analyzed. The results show that during the impact process, the fuel tank and view are safer, the failure probability is small, and the gun pipe has a certain safety *** analyzing the number of fragments in the fragment field formed by the first armored center of the T90, it can be determined that the scattered fragments are likely to penetrate the glass structure of the viewing part. The remaining parts are armored steel, and the track and wheel structure have no damage risk. © 2025 SPIE.

关键词： Tanks (military)

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Simulation on Electromagnetic Shielding Effectiveness of Multi-layer Cylindrical Metal Enclosures 16th

Simulation on Electromagnetic Shielding Effectiveness of Mul...

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16th International Conference on Modelling, Identification and control, ICMIC 2024

作者： Yu, Feng Pan, Wang Haiyang, Wang Bing, Zhou Yinxia, Gao Yinjie, Wang Wei, Jia Changxin, Chen State Key Laboratory of Dynamic Measurement Technology North University of China Taiyuan030051 China School of Electrical and Control Engineering North University of China Taiyuan030051 China

ISBN: (纸本)9789819617760

For the problem of optimal shielding design of metal shielding enclosures in complex environments, multi-layer cylindrical metal enclosures is modeled and simulated by using simulation software. In the simulation, the shielding effectiveness of the multi-layer enclosures with different diameter-to-length ratios and alternating combinations of different materials is compared and analyzed. The results show that the multi-layer shielding enclosure with optimal shielding effectiveness is composed of stainless steel on the outer layer, silver on the middle layer and permalloy on the inner layer. And the larger the length-diameter ratio of multi-layer cylindrical metal enclosure, the better the shielding effect. The simulation study of electromagnetic shielding effectiveness of multi-layer cylindrical metal enclosures provides support for the study of multi-layer metal shielding enclosures in complex electromagnetic environments. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Electromagnetic shielding

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Interaction model estimation-based robotic force-position coordinated optimization for rigid-soft heterogeneous contact tasks

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Biomimetic Intelligence & Robotics 2025年第1期5卷 77-86页

作者： Haochen Zheng Xueqian Zhai Hongmin Wu Jia Pan Zhihao Xu Xuefeng Zhou Institute of Intelligent Manufacturing Guangdong Academy of SciencesGuangdong Key Laboratory of Modern Control TechnologyGuangzhou 510070China School of Rail Transportation Wuyi UniversityJiangmen 529020China Department of Computer Science The University of Hong KongHong Kong 999077China

Inspired by Model Predictive Interaction control(MPIC),this paper proposes differential models for estimating contact geometric parameters and normal-friction forces and formulates an optimal control problem with multiple constraints to allow robots to perform rigid-soft heterogeneous contact *** the MPIC,robot dynamics are linearized,and Extended Kalman Filters are used for the online estimation of geometry-aware ***,a geometry-aware Hertz contact model is introduced for the online estimation of contact *** then implement the force-position coordinate optimization by incorporating the contact parameters and interaction force constraints into a gradient-based optimization *** validations were designed for two contact modes:“single-point contact”and“continuous contact”,involving materials with four different Young’s moduli and tested in human arm“relaxation-contraction”*** indicate that our framework ensures consistent geometry-aware parameter estimation and maintains reliable force interaction to guarantee *** method reduces the maximum impact force by 50%and decreases the average force error by 42%.The proposed framework has potential applications in medical and industrial tasks involving the manipulation of rigid,soft,and deformable objects.

关键词： Heterogeneous contact Interaction model estimation Coordination optimization Model Predictive control

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Research on Identification Method of Toroidal Propeller

Research on Identification Method of Toroidal Propeller

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2024 International Conference on measurement, Communication, and Virtual Reality, MCVR 2024

作者： Han, Chuang Hu, Aiai Wu, Haibin Heilongjiang Province Key Laboratory of Laser Spectroscopy Technology and Application Harbin University of Science and Technology Harbin China School of Measurement - Control Technology and Communication Engineering Harbin University of Science and Technology Harbin China

ISBN: (纸本)9781510691773

With the continuous development of marine science and technology, propeller shapes are developing in a more complex direction. Among them, the toroidal propeller represents the latest research progress in propeller technology. This design features a ring-shaped geometry for the blades, which are similar to the catenary curve of a hanging chain. This propeller offers the advantages of higher efficiency and lower noise. In this paper, starting from the geometric shape analysis study of toroidal propeller, we introduce the geometric parameters such as wheelbase, outboard angle, lateral inclination angle among others, derive the mathematical formula of the coordinates of toroidal propeller in detail, simulate the modulation waveform and spectrogram of the toroidal propeller, and compare with those of the ordinary propeller, and according to the experimental data, the geometric shape of toroidal propeller can be recognized by using the proposed method. This lays a firm foundation for further research on the physical properties and scientific problems of toroidal propellers. © 2025 SPIE.

关键词： Geometry

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Cognitive Load State Analysis of Drivers Using Multimodal Physiological Data and Machine Learning in a VR Simulator

Cognitive Load State Analysis of Drivers Using Multimodal Ph...

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2024 International Conference on measurement, Communication, and Virtual Reality, MCVR 2024

作者： Tao, Xinyu Ma, Dezhong Xiong, Xiaotong College of Measurement-control Technology & Communications Engineering Harbin University of Science & Technology Harbin China Heilongjiang Province Key Laboratory of Laser Spectroscopy Technology and Application Harbin University of Science and Technology Harbin China

ISBN: (纸本)9781510691773

Driver inattention is the primary cause of highway accidents. Various distractions can impair driving performance, posing a significant threat to road safety. This study uses a VR driving simulator to examine distracted driving, creating a simulated driving environment. It involves designing main and sub-driving tasks to replicate the cognitive load and distractions experienced by drivers. Data are collected using NASA-TLX scales, eye-tracking technology, and physiological signal acquisition. The impact of different distraction workloads on driver performance was assessed using statistical analysis and support vector machines (SVM). A multi-source data fusion model was developed to discriminate distracted driving behaviors. This research aims to provide theoretical insights and practical guidance for improving safe driving practices. © 2025 SPIE.

关键词： Automobile driver simulators

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