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International Conference on Mechatronics and Machine Vision in Practice (M2VIP)

作者： Hao Sun Lin Zhou Shengqiang Zhao Teng Zhang Fangyu Peng Rong Yan National NC System Engineering Research Center School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan China Wuhan Digital Design and Manufacturing Innovation Center Co. Ltd China Wuhan China State Key Laboratory of Digital Manufacturing Equipment and Technology School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781665431545

Within the finite element simulation model of metal manufacturing processes, the setting of physical properties of the materials will significantly affect the final simulation results. In this paper, a hybrid approach to integrate mechanical models and experimental data is proposed to identify the constitutive parameters and tool-chip friction coefficient of superalloy GH3128. Firstly, mechanical model is established and the relation between the constitutive parameters and the measured shear flow stress is determined. Combined with Bayesian inference, the fast inverse identification of the above parameters is realized. Then, a finite element surrogate model and Bayesian framework are fused for calibrating tool-chip friction coefficient. Finally, the effectiveness of the proposed approach is verified through milling experiments. The prediction accuracy of the prediction model are significantly improved by considering the uncertainties of physical properties. The relative error of the model in direction and direction are 11.4681% and 4.2989%, respectively.

关键词： Uncertainty Friction Simulation Metals Milling Predictive models Finite element analysis

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Research on Optimization of Key Parts of Nuclear reactor Based on Finite Element Simulation

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IOP Conference Series: Earth and Environmental science 2021年第3期632卷

作者： Bo Yang Tianda Yu Qiang Deng Cong Chen Fengshou Zhang Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institution of China Sichuan ChengDu 610041 China

In view of the higher technical requirements of the third generation PWR for the control rod drive mechanism (CRDM), China's third generation nuclear reactor CRDM hook parts are designed to multi-tooth hook with wear-resistant surfacing. The surfacing welding process is simulated and optimized based on finite element simulation, and reasonable welding process and parameters are determined by simulation results in this *** to the optimized welding process, the parts are trial-produced, and the parts of the hook are subjected to metallographic inspection, hardness test and thermal life test. The results show that the optimized hook parts have high hardness and wear resistance, and meet the requirements of the third generation PWR nuclear power plant.

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Information Freshness in A Dual Monitoring system

Information Freshness in A Dual Monitoring System

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GLOBECOM 2022 - 2022 IEEE Global Communications Conference

作者： Dapeng Deng Zhengchuan Chen Howard H. Yang Nikolaos Pappas Limei Hu Min Wang Yunjian Jia Tony Q.S. Quek School of Microelectronics and Communication Engineering Chongqing University Chongqing China National Mobile Communications Research Laboratory Southeast University Nanjing China Zhejiang University/University of Illinois at Urbana-Champaign Institute Zhejiang University Haining China Department of Computer and Information Science Linkoping University Linkoping Sweden School of Optoelectronics Engineering Chongqing University of Posts and Telecommunications Chongqing China Information System Technology and Design Pillar Singapore University of Technology and Design Singapore

ISBN: (纸本)9781665435413

We study the average age of information (AoI) and peak AoI (PAoI) of a dual-queue status update system that monitors a common stochastic process. We capture the state transition characteristics of the considered system by establishing a Markov chain. Using the state flow graph analysis method, we derive closed-form expressions of the average peak age of information (PAoI) and the average age of information (AoI) for the dual-queue update system. The numerical results show that compared with the single-queue update system, the average PAoI of the dual-queue update system is reduced by 33.5% and the average AoI dropped by 37.5%.

关键词： Closed-form solutions Markov processes Reliability theory Information age Sensor systems Real-time systems Sensors

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Analysis and design of a Personalized Recommendation system Based on a Dynamic User Interest Model

arXiv

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arXiv 2024年

作者： Mao, Chunyan Huang, Shuaishuai Sui, Mingxiu Yang, Haowei Wang, Xueshe School of Information and Communication Engineering Shanghai Jiao Tong University Shanghai China University of Science and Technology of China Department of Software Software system design Anhui Hefei China University of Iowa Department of Mathematics Iowa CityIA United States University of Houston Cullen College of Engineering Indusrial Enginnering HoustonTX United States Duke University Pratt School of Engineering Mechanical Engineering DurhamNC United States

With the rapid development of the internet and the explosion of information, providing users with accurate personalized recommendations has become an important research topic. This paper designs and analyzes a personalized recommendation system based on a dynamic user interest model. The system captures user behavior data, constructs a dynamic user interest model, and combines multiple recommendation algorithms to provide personalized content to users. The research results show that this system significantly improves recommendation accuracy and user satisfaction. This paper discusses the system's architecture design, algorithm implementation, and experimental results in detail and explores future research directions. © 2024, CC BY.

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Extension of Gen-Foam to Departure from Nucleate Boiling Prediction and Validation Against the Oecd/Nrc Psbt Benchmark

SSRN

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SSRN 2023年

作者： Niu, Yuhang Alessandro, Scolaro Fiorina, Carlo Qin, Hao Lazare, Gauthier Wu, Yingwei Tian, Wenxi Su, Guanghui H. Department of Nuclear Science and Technology Xi’an Jiaotong University Shaanxi Xi’an710049 China Laboratory for Reactor Physics and System Behaviour École Polytechnique Fédérale de Lausanne – EPFL Lausanne1015 Switzerland Department of Nuclear Engineering Texas A&M University College StationTX77843 United States Department of Fluid Mechanics Energy and Environnement EDF R&D Chatou78400 France

The prediction of departure from nucleate boiling (DNB) has always been a crucial aspect of thermal-hydraulic codes for the analysis of Light Water reactors. In this paper, GeN-Foam, a multi-physics code developed based on OpenFOAM, has been enhanced to incorporate DNB prediction using a CHF look-up table as well as post-CHF flow and heat transfer models. To assess GeN-Foam's accuracy in modeling DNB conditions in typical pressurized water reactors (PWRs), a preliminary validation was conducted utilizing Phase II of the PSBT benchmark, including the steady-state fluid temperature (Test Series 1), steady-state DNB (Test Series 4), and transient DNB (Test Series 11T) benchmarks. This paper presents the closure correlations implemented in GeN-Foam, provides a description of the PSBT benchmarks, and includes a comparison between GeN-Foam's predictions and experimental data, as well as code-to-code verification with other participants. The results demonstrate that GeN-Foam exhibits good performance in simulating two-phase flow boiling conditions. Furthermore, GeN-Foam accurately predicts the DNB power and time of occurrence within a ±10% error range compared to measured values, preliminarily indicating its effectiveness in predicting DNB occurrence and two-phase flow boiling phenomena. © 2023, The Authors. All rights reserved.

关键词： Forecasting

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Aerial-networked ISAC-empowered collaborative energy-efficient covert communications

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Chinese Journal of Aeronautics 2025年

作者： Jun WU Weijie YUAN Qin TAO Hongjia HUANG Derrick Wing Kwan NG School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen 518055 China School of Information Science and Technology Hangzhou Normal University Hangzhou 311121 China School of Electrical Engineering and Telecommunications University of New South Wales Sydney NSW 2052 Australia

Covert unmanned aerial vehicle (UAV) communication has garnered considerable attention in wireless systems for realizing the sustainable low-altitude economy (LAE). This paper investigates the system policy, trajectory design, and resource allocation for energy-efficient aerial networked systems with the aid of an integrated sensing and communications (ISAC) framework, in which multiple UAVs are employed to simultaneously conduct cooperative sensing and covert downlink transmissions to multiple ground users (GUs) in the presence of a mobile warden (Willie). Specifically, to improve the communication covertness, UAVs are strategically switched between jamming (JUAV) and information (IUAV) modes. Additionally, to cope with the mobility of Willie, an unscented Kalman filtering (UKF)-based method is employed to track and predict Willie’s location relying on the delay and Doppler measurements extracted from the ISAC echoes. Capitalizing on the predicted Willie’s location, a real-time energy efficiency (EE) maximization problem is formulated by jointly optimizing the JUAV selection strategy, IUAV-GU scheduling, communication/jamming power allocation, and UAV trajectories design. The formulation takes into account the communication covertness requirement and the maximum transmit power budget, leading to a mixed-integer non-convex fractional programming. To tackle this challenge, the alternating optimization (AO) approach is adopted, which decomposes the original problem into a series of sub-problems, allowing us to obtain an efficient sub-optimal solution. Simulation results demonstrate that the proposed scheme is capable of tracking Willie accurately and offering excellent system EE performance compared to various benchmark schemes adopting existing designs.

关键词： Integrated sensing and communication Unmanned aerial vehicles Low-altitude economy Trajectory design Jammer selection

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Determining impact parameters of heavy-ion collisions at low-intermediate incident energies using deep learning with convolutional neural networks

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Physical Review C 2022年第3期105卷 034611-034611页

作者： X. Zhang (张鑫) X. Liu (刘星泉) Y. Huang (黄宇) W. Lin (林炜平) H. Zheng (郑华) R. Wada A. Bonasera Z. Chen (陈志强) L. Chen (陈蕾) J. Han (韩纪锋) R. Han (韩瑞) M. Huang (黄美容) Q. Hu (胡强) Q. Leng (冷强钟) C. W. Ma (马春旺) G. Qu (曲国峰) P. Ren (任培培) G. Tian (田国玉) Z. Xu (徐子虚) Z. Yang (杨振雷) L. Zhang (张丽娜) Key Laboratory of Radiation Physics and Technology of the Ministry of Education Sichuan University Chengdu 610064 China School of Physics and Information Technology Shaanxi Normal University Xi'an 710119 China Cyclotron Institute Texas A&M University College Station Texas 77843 USA Laboratori Nazionali del Sud INFN via Santa Sofia 62 95123 Catania Italy Institute of Modern Physics Chinese Academy of Sciences Lanzhou 730000 China College of Physics and Electronics information Inner Mongolia University for Nationalities Tongliao 028000 China School of Physics Henan Normal University Xinxiang 453007 China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu 610213 China School of Information Sciences and Engineering Lanzhou University Lanzhou 730000 China

A deep learning based method with the convolutional neural network (CNN) algorithm for determining the impact parameters is developed by using constrained molecular-dynamics model simulations, focusing on the heavy-ion collisions at the low-intermediate incident energies from several tens to one hundred MeV/nucleon in which the emissions of heavy fragments with the charge numbers larger than three become crucial. To make the CNN applicable in the task of the impact-parameter determination at the present energy range, specific improvements are made in the input selection, the CNN construction, and the CNN training. It is demonstrated from the comparisons of the deep CNN method and the conventional methods with the impact-parameter-sensitive observables that the deep CNN method shows better performance for determining the impact parameters, especially leading to the capability of providing better recognition of the central collision events. With a proper consideration of the experimental filter effect in both training and testing processes to keep consistency with the actual experiments, the good performance of the deep CNN method holds and performs significantly better in terms of predicting the impact parameters and recognizing the central collision events compared with conventional methods, demonstrating the superiority of the present deep CNN method. The deep CNN method with the consideration of the filter effect is applied in the deduction of nuclear stopping power. Higher accuracy for the stopping power deduction is achieved benefitting from the better impact-parameter determination using the deep CNN method, compared with using conventional methods. This result reveals the importance of selecting a reliable impact-parameter-determination method in the experimental deduction of the nuclear stopping power as well as other observables.

关键词： Low & intermediate energy heavy-ion reactions Convolutional neural networks Machine learning Nuclear data analysis & compilation

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Conceptual design of a SiPM-based Cherenkov detector for application to DT reaction rate diagnostics in fusion reactors

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Journal of Instrumentation 2025年第06期20卷 P06050-P06050页

作者： Chao Zhou Lu Liu JunYong Peng Peng Luan Haoxuan Huang Ze Zhang Yiguo Li Xiaodong Wang Min Xiao Song Feng School of Nuclear Science and Technology University of South China Hengyang 421001 China Division of Reactor Engineering Technology Research China Institute of Atomic Energy Beijing 102413 China Key Laboratory of Advanced Nuclear Energy Design and Safety Ministry of Education Hengyang 421001 China

To detect the 16.7 MeV γ-rays produced by the T(D,γ)5He reaction in a strong neutron interference environment for DT reaction rate determination in fusion reactors, a Cherenkov detector based on a silicon photomu...

To detect the 16.7 MeV γ-rays produced by the T(D,γ)⁵He reaction in a strong neutron interference environment for DT reaction rate determination in fusion reactors, a Cherenkov detector based on a silicon photomultiplier (SiPM) array has been designed. A systematic evaluation of its response to neutrons and γ-rays has been conducted using Geant4. The simulation results indicate that the detector exhibits a good linear response to incident 16.7 MeV γ-rays. The ring imaging reconstruction of Cherenkov photons has been obtained due to the excellent spatial resolution of the SiPM array. The key factors affecting the quality of determining the Cherenkov ring have been analyzed and the physical design of the detector has been optimized. The detector demonstrated the capability of measuring the energy of the incident 16.7 MeV γ-rays and showed an energy resolution of approximately 40%. This study provides an independent and feasible technique for DT fusion power measurement in fusion reactors.

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Structural design and strength analysis of multi-ring packed flywheel with heavy metal alloy segments 2

Structural design and strength analysis of multi-ring packed...

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2nd International Conference on Numerical Modelling in Engineering, NME 2019

作者： Jiang, L. Zhang, W. Wu, C.W. Zhang, L.P. Zhang, Y.X. Liu, Z.Y. National Key Laboratory of Science and Technology on Reactor System Design Technology Nuclear Power Institute of China Chengdu610041 China State Key Laboratory of Structural Analysis for Industrial Equipment Dalian University of Technology Dalian116024 China

Flywheel, as a kinetic energy storage and conversion device, has promising applications due to its high efficiency, no pollution and long lifetime. In particular, with a three-layer structure packed with heavy metal alloy middle layer, a flywheel can achieve both a large rotational inertia and a high energy density. To guarantee structural strength safety of this type of multi-ring packed flywheel operating at high temperature, structural and thermal stress analysis for a flywheel with a tungsten alloy layer sandwiched between two stainless steel layers is carried out using finite element method (FEM). Based on plane stress assumption, flywheel stress characteristic along radius under assembly force, centrifugal force and thermal loading is demonstrated. The results show that, the rise of temperature causes inconsistent thermal expansion between neighbouring layers and results in a large thermal stress. Particularly, a high circumferential tensile stress occurs in the middle layer. It is also found that, the segments of the middle tungsten alloy layer can efficiently relieve the inconsistent thermal expansion and lower the thermal stress. Moreover, the number of segments significantly influences the efficiency of thermal stress releasing and the reserved gap between adjacent segments significantly improves the contact pressure between inner hub and tungsten alloy layer. This work may provide reference for structural design of the multi-ring packed flywheels under thermal loading. © Published under licence by IOP Publishing Ltd.

关键词： Kinetics

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A first-principles study on the quantum tunneling of methylhydroxycarbene isomerization in various solvents 4

A first-principles study on the quantum tunneling of methylh...

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4th Padjadjaran International Physics Symposium 2019, PIPS 2019

作者： Susanti, E.D. Rusydi, F. Puspitasari, I. Fadilla, R.N. Aisyah, N.D. Ahmad, A. Research Center for Quantum Engineering Design Faculty of Science and Technology Universitas Airlangga Jl. Mulyorejo Surabaya60115 Indonesia Department of Physics Faculty of Science and Technology Universitas Airlangga Jl. Mulyorejo Surabaya60115 Indonesia Precision Sciences and Technology and Applied Physics Graduate School of Engineering Osaka University Suita565-0871 Japan Information System Study Program Faculty of Science and Technology Universitas Airlangga Jl. Mulyorejo Surabaya60115 Indonesia School of Chemical Science and Food Technology Faculty of Science and Technology Universiti Kebangsaan Malaysia Bangi Selangor43600 Malaysia

Quantum tunneling phenomenon allows a high-barrier reaction to occur even though thermal energy is not sufficient to surmount the barrier. The phenomenon has been suggested to exist in the isomerization of methylhydroxycarbene which occured at 11 K. Here we study the quantum tunneling that occured in the isomerization of methylhydroxycarbene to acetaldehyde and to vinyl alcohol based on density functional calculations. The isomerization pathways are determined under the effect of various solvents which are modeled by polarizable continuum model (PCM). We use Wentzel-Kramers-Brillouin (WKB) approximation to calculate the tunneling probability (T) and extend the usefulness of T into isomerization rate. The results show that the solvents give a significant effect on the isomerization rate of methylhydroxycarbene to acetaldehyde but an insignificant one on the isomerization rate to vinyl alcohol. © 2020 IOP Publishing Ltd. All rights reserved.

关键词： Isomerization

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