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Remanufacturing Scheme Design for Used Parts Based on Incomplete Information Reconstruction

Chinese Journal of Mechanical engineering 2020年第3期33卷 72-85页

作者： Wenhao Huang Zhigang Jiang Teng Wang Yan Wang Xiaoli Hu Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering Wuhan University of Science&TechnologyWuhan 430081China Key Laboratory of Metallurgical Equipment and Control Technology Wuhan University of Science&TechnologyWuhan 430081China Department of Computing Engineering and MathematicsUniversity of BrightonBrighton BN24GJUK School of Mechanical Engineering Shanghai Dianji UniversityShanghai 201306China.

The different conditions of use of a component result in a variety of damage ***,excluding differences in shape and size,used parts show a high degree of uncertainty regarding failure characteristics,quality conditions,and remaining life,which seriously affects the efficiency of a remanufacturing scheme *** to address this problem,a remanufacturing scheme design method based on the reconstruction of incomplete information of used parts is ***,the remaining life of the reconstructed model is predicted by finite element analysis,and the demand for the next life cycle is ***,the scanned 3D damage point cloud data are registered with the original point cloud data using the integral iterative method to construct a missing point cloud model to achieve the restoration of geometric ***,according to reverse engineering and laser cladding remanufacturing,the tool remanufacturing process path can be generated by the tool contact point path section line ***,the proposed method is adopted for turbine blades to evaluate the effectiveness and feasibility of the proposed *** study proposes a remanufacturing scheme design method based on the incomplete reconstruction of used part information to solve the uncertain and highly personalized problems in remanufacturing.

关键词： Remanufacturing Incomplete information Unit-step integration iteration method

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Nonempirical hybrid multi-attribute decision-making method for design for remanufacturing

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Advances in Manufacturing 2019年第4期7卷 423-437页

作者： Qing-Shan Gong Hua Zhang Zhi-Gang Jiang Han Wang Yan Wang Xiao-Li Hu Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering Wuhan University of Science&TechnologyWuhan 430081People's Republic of China Key Laboratory of Automotive Power Train and Electronics Hubei University of Automotive TechnologyShiyan 442002HubeiPeople's Republic of China Key Laboratory of Metallurgical Equipment and Control Technology Wuhan University of Science&TechnologyWuhan 430081People's Republic of China School of Computing Engineering and MathematicsUniversity of BrightonBrighton BN24GJUK School of Mechanical Engineering Shanghai Dianji UniversityShanghai 201306People's Republic of China

Design for remanufacturing(DfRem)is the process of considering remanufacturing characteristics during product design in order to reduce the number of issues during the remanufacturing *** decisionmaking in DfRem is influenced by the designers'subjective preferences owing to a lack of explicitly defined remanufacturing knowledge for designers,which can lead to indecisive design *** order to objectively select the optimal design scheme for remanufacturing,a nonempirical hybrid multi-attribute decision-making method is presented to alleviate the impacts of subjective *** this method,design characteristics and demand information are characterized through the matter-element *** with design principles,some initial design schemes are *** criteria are established considering the technical,economic,and environmental *** entropy weight and vague set are used to determine the optimal design scheme via a multi-attribute decision・making *** design of a bearing assembly machine for remanufacturing is taken as an example to illustrate the practicality and validity of the proposed *** results revealed that the proposed method was effective in the decision-making of DfRem.

关键词： Design for remanufacturing(DfRem) Remanufacturing Multi-attribute decision-making Vague set Entropy weight

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Leveraging emergent constraints to reduce uncertainty in future compound drought and heatwave events across mainland China

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Journal of Hydrology 2025年 661卷

作者： Mengyu Wu Dunxian She Qin Zhang Yao Yue Jun Xia Wenting Hu Yuliang Zhou State Key Laboratory of Water Resources Engineering and Management Wuhan University Wuhan Hubei 430072 China Hubei Key Laboratory of Water System Science for Sponge City Construction Wuhan University Wuhan 430072 China Changjiang River Scientific Research Institute Changjiang Water Resources Commission 430010 Wuhan China State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG) Institute of Atmospheric Physics Chinese Academy of Sciences Beijing 100029 China College of Civil Engineering Hefei University of Technology Hefei 230009 China

Recent increase in compound drought and heatwave (CDHW) events has resulted in serious socio-economic impacts globally as well as in China and attracted growing concern. However, the underlying uncertainty in Earth system models may reduce the confidence levels in extreme events projections. Previous studies demonstrated the effectiveness of the emergent constraint (EC) method in addressing this issue, while they primarily focused on the treatment of climate variables or single extremes. The potential of EC in reducing the uncertainty of compound extremes has not been sufficiently evaluated yet. Here, we construct the EC relationships between historical daily maximum temperature and future (2021–2100) changes of CDHW events characteristics (duration, severity, and magnitude) using 24 CMIP6 models under four Shared Socioeconomic Pathways (SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5). The application in mainland China presented that EC decrease the variance of CDHW events characteristics by 35 % (duration), 25 % (severity) and 21 % (magnitude) on average compared to raw projections. Specially, EC performs best under SSP3-7.0 scenario, with variance reduced by 42 %, 32 % and 29 % for duration, severity, and magnitude, respectively. By the end of 21st century, constrained growth (relative to 1981–2010) in CDHW events duration, severity, and magnitude are projected to reach 8.55 (±3.86)-31.58 (±7.46) days, 0.72 (±0.25)-2.37 (±0.57) ℃ and 1.46 (±0.56)-6.20 (±1.65) ℃, respectively. The constrained results imply that CDHW events duration, severity and magnitude are decreased by 3.58 %-6.00 %, 2.50 %-4.88 % and 2.48 %-4.95 % than currently expected, respectively, providing valuable insights for mitigation strategies and risk assessments of compound extremes.

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Unconditionally optimal convergence of an energy-conserving and linearly implicit scheme for nonlinear wave equations

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science China Mathematics 2022年第8期65卷 1731-1748页

作者： Waixiang Cao Dongfang Li Zhimin Zhang School of Mathematical Sciences Beijing Normal UniversityBeijing 100875China School of Mathematics and Statistics Huazhong University of Science and TechnologyWuhan 430074China Hubei Key Laboratory of Engineering Modeling and Scientific Computing Huazhong University of Science and TechnologyWuhan 430074China Beijing Computational Science Research Center Beijing 100193China Department of Mathematics Wayne State UniversityDetroitMI 48202USA

In this paper,we present and analyze an energy-conserving and linearly implicit scheme for solving the nonlinear wave *** error estimates in time and superconvergent error estimates in space are established without certain time-step *** key is to estimate directly the solution bounds in the H-norm for both the nonlinear wave equation and the corresponding fully discrete scheme,while the previous investigations rely on the temporal-spatial error splitting *** examples are presented to confirm energy-conserving properties,unconditional convergence and optimal error estimates,respectively,of the proposed fully discrete schemes.

关键词： scalar auxiliary variable wave equations stability error estimate superconvergence

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Data quality control system and long-term performance monitor of LHAASO-KM2A

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Astroparticle Physics 2025年 164卷

作者： Cao, Zhen Aharonian, F. Axikegu Bai, Y.X. Bao, Y.W. Bastieri, D. Bi, X.J. Bi, Y.J. Bian, W. Bukevich, A.V. Cao, Q. Cao, W.Y. Cao, Zhe Chang, J. Chang, J.F. Chen, A.M. Chen, E.S. Chen, H.X. Chen, Liang Chen, Lin Chen, Long Chen, M.J. Chen, M.L. Chen, Q.H. Chen, S. Chen, S.H. Chen, S.Z. Chen, T.L. Chen, Y. Cheng, N. Cheng, Y.D. Cui, M.Y. Cui, S.W. Cui, X.H. Cui, Y.D. Dai, B.Z. Dai, H.L. Dai, Z.G. Danzengluobu Dong, X.Q. Duan, K.K. Fan, J.H. Fan, Y.Z. Fang, J. Fang, J.H. Fang, K. Feng, C.F. Feng, H. Feng, L. Feng, S.H. Feng, X.T. Feng, Y. Feng, Y.L. Gabici, S. Gao, B. Gao, C.D. Gao, Q. Gao, W. Gao, W.K. Ge, M.M. Geng, L.S. Giacinti, G. Gong, G.H. Gou, Q.B. Gu, M.H. Guo, F.L. Guo, X.L. Guo, Y.Q. Guo, Y.Y. Han, Y.A. Hasan, M. He, H.H. He, H.N. He, J.Y. He, Y. Hor, Y.K. Hou, B.W. Hou, C. Hou, X. Hu, H.B. Hu, Q. Hu, S.C. Huang, D.H. Huang, T.Q. Huang, W.J. Huang, X.T. Huang, X.Y. Huang, Y. Ji, X.L. Jia, H.Y. Jia, K. Jiang, K. Jiang, X.W. Jiang, Z.J. Jin, M. Kang, M.M. Karpikov, I. Kuleshov, D. Kurinov, K. Li, B.B. Li, C.M. Li, Cheng Li, Cong Li, D. Li, F. Li, H.B. Li, H.C. Li, Jian Li, Jie Li, K. Li, S.D. Li, W.L. Li, X.R. Li, Xin Li, Y.Z. Li, Zhe Li, Zhuo Liang, E.W. Liang, Y.F. Lin, S.J. Liu, B. Liu, C. Liu, D. Liu, D.B. Liu, H. Liu, H.D. Liu, J. Liu, J.L. Liu, M.Y. Liu, R.Y. Liu, S.M. Liu, W. Liu, Y. Liu, Y.N. Luo, Q. Luo, Y. Lv, H.K. Ma, B.Q. Ma, L.L. Ma, X.H. Mao, J.R. Min, Z. Mitthumsiri, W. Mu, H.J. Nan, Y.C. Neronov, A. Ou, L.J. Pattarakijwanich, P. Pei, Z.Y. Qi, J.C. Qi, M.Y. Qiao, B.Q. Qin, J.J. Raza, A. Ruffolo, D. Sáiz, A. Saeed, M. Semikoz, D. Shao, L. Shchegolev, O. Sheng, X.D. Shu, F.W. Song, H.C. Stenkin, Yu.V. Stepanov, V. Su, Y. Sun, D.X. Sun, Q.N. Sun, X.N. Sun, Z.B. Key Laboratory of Particle Astrophysics & Experimental Physics Division & Computing Center Institute of High Energy Physics Chinese Academy of Sciences Beijing100049 China University of Chinese Academy of Sciences Beijing100049 China TIANFU Cosmic Ray Research Center Sichuan Chengdu China Dublin Institute for Advanced Studies 31 Fitzwilliam Place 2 Dublin Ireland Max–Planck-Institut for Nuclear Physics P.O. Box 103980 Heidelberg69029 Germany School of Physical Science and Technology & School of Information Science and Technology Southwest Jiaotong University Sichuan Chengdu610031 China School of Astronomy and Space Science Nanjing University Jiangsu Nanjing210023 China Center for Astrophysics Guangzhou University Guangdong Guangzhou510006 China Tsung-Dao Lee Institute & School of Physics and Astronomy Shanghai Jiao Tong University Shanghai200240 China Institute for Nuclear Research of Russian Academy of Sciences Moscow117312 Russia Hebei Normal University Hebei Shijiazhuang050024 China University of Science and Technology of China Anhui Hefei230026 China State Key Laboratory of Particle Detection and Electronics China Key Laboratory of Dark Matter and Space Astronomy & Key Laboratory of Radio Astronomy Purple Mountain Observatory Chinese Academy of Sciences Jiangsu Nanjing210023 China Research Center for Astronomical Computing Zhejiang Laboratory Zhejiang Hangzhou311121 China Key Laboratory for Research in Galaxies and Cosmology Shanghai Astronomical Observatory Chinese Academy of Sciences Shanghai200030 China School of Physics and Astronomy Yunnan University Yunnan Kunming650091 China Ministry of Education Tibet Lhasa850000 China Key Laboratory of Radio Astronomy and Technology National Astronomical Observatories Chinese Academy of Sciences Beijing100101 China Sun Yat-sen University Guangdong Zhuhai519000 China Sun Yat-sen University Guangdong Guangzhou510275 China Sun Yat-sen University Guangdong Zhuhai519000 Chi

The KM2A is the largest sub-array of the Large High Altitude Air Shower Observatory (LHAASO). It consists of 5216 electromagnetic particle detectors (EDs) and 1188 muon detectors (MDs). The data recorded by the EDs and MDs are used to reconstruct primary information of cosmic-ray and gamma-ray showers. To ensure the reliability of the LHAASO-KM2A data, a three-level quality control system has been established. It is used to monitor the status of detector units, stability of reconstructed parameters and the performance of the array based on observations of the Crab Nebula and Moon shadow. This paper will introduce the control system and its application on the LHAASO-KM2A data collected from August 2021 to July 2023. During this period, the pointing and angular resolution of the array were stable. From the observations of the Moon shadow and Crab Nebula, the results achieved using the two methods are consistent with each other. For example, according to the observation of the Crab Nebula with KM2A at energies from 25 TeV to 100 TeV, the time averaged pointing errors are estimated to be −0.003°±0.005° and 0.001°±0.006° in the R.A. and Dec directions, respectively. © 2024 Elsevier B.V.

关键词： Cosmology

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A High-Order Scheme for Fractional Ordinary Differential Equations with the Caputo-Fabrizio Derivative

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Communications on Applied Mathematics and Computation 2020年第2期2卷 179-199页

作者： Junying Cao Ziqiang Wang Chuanju Xu School of Data Science and Information Engineering Guizhou Minzu UniversityGuiyang 550025China School of Mathematical Sciences and Fujian Provincial Key Laboratory of Mathematical Modeling and High Performance Scientific Computing Xiamen UniversityXiamen 361005China

In this paper, we consider numerical solutions of fractional ordinary diferential equations with the Caputo-Fabrizio derivative, and construct and analyze a high-order time-stepping scheme for this equation. The proposed method makes use of quadratic interpolation function in sub-intervals, which allows to produce fourth-order convergence. A rigorous stability and convergence analysis of the proposed scheme is given. A series of numerical examples are presented to validate the theoretical claims. Traditionally a scheme having fourth-order convergence could only be obtained by using block-by-block technique. The advantage of our scheme is that the solution can be obtained step by step, which is cheaper than a block-by-block-based approach.

关键词： Caputo-Fabrizio derivative Fractional diferential equations High-order numerical scheme

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Phase-field-based lattice Boltzmann method for containerless freezing

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Physical Review E 2024年第3期110卷 035301页

作者： Jiangxu Huang Lei Wang Zhenhua Chai Baochang Shi School of Mathematics and Statistics School of Mathematics and Physics Institute of Interdisciplinary Research for Mathematics and Applied Science Hubei Key Laboratory of Engineering Modeling and Scientific Computing

In this paper we first propose a phase-field model for the containerless freezing problems, in which the volume expansion or shrinkage of the liquid caused by the density change during the phase change process is considered by adding a mass source term to the continuum equation. Then a phase-field-based lattice Boltzmann (LB) method is further developed to simulate solid-liquid phase change phenomena in multiphase systems. We test the developed LB method by the problem of conduction-induced freezing in a semi-infinite space, the three-phase Stefan problem, and the droplet solidification on a cold surface, and the numerical results are in agreement with the analytical and experimental solutions. In addition, the LB method is also used to study the rising bubbles with solidification. The results of the present method not only accurately capture the effect of bubbles on the solidification process, but also are in agreement with the previous work. Finally, a parametric study is carried out to examine the influences of some physical parameters on the sessile droplet solidification, and it is found that the time of droplet solidification increases with the increase of droplet volume and contact angle.

关键词： Drops & bubbles Liquid-solid phase transition

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Improving Adversarial Transferability with Ghost Samples 26

Improving Adversarial Transferability with Ghost Samples

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26th European Conference on Artificial Intelligence, ECAI 2023

作者： Zhao, Yi Mou, Ningping Ge, Yunjie Wang, Qian The Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of Education School of Cyber Science and Engineering Wuhan University Hubei Wuhan430072 China

ISBN: (纸本)9781643684369

Adversarial transferability presents an intriguing phenomenon, where adversarial examples designed for one model can effectively deceive other models. By exploiting this property, various transfer-based methods are proposed to conduct adversarial attacks without knowledge of target models, posing significant threats to practical black-box applications. However, these methods either have limited transferability or require high resource consumption. To bridge the gap, we investigate adversarial transferability from the optimization perspective and propose the ghost sample attack (GSA). GSA improves adversarial transferability by alleviating the overfitting issue of adversarial examples on the surrogate model. Based on the insight that a slight shift of the adversarial example is similar to a minor change in the decision boundary, we aggregate gradients of perturbed adversarial copies (named ghost samples) to efficiently achieve a similar effect to calculating gradients of multiple ensemble surrogate models. Extensive experiments demonstrate that GSA achieves state-of-the-art adversarial transferability with restricted resources. On average, GSA improves the attack success rate by 4.8% on normally trained models compared to state-of-the-art attacks. Additionally, GSA reduces the computational cost by 62% compared with TAIG-R. When combined with other methods, GSA further improves transferability to 96.9% on normally trained models and 82.7% on robust models. © 2023 The Authors.

关键词： Machine learning

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RSMC:A Safety Model Checker for Concurrency and Memory Safety of Rust

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Wuhan University Journal of Natural sciences 2020年第2期25卷 129-138页

作者： YAN Fei WANG Qizhong ZHANG Liqiang CHEN Yasha Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of EducationSchool of Cyber Science and EngineeringWuhan UniversityWuhan 430072HubeiChina Institute of Systems Engineering Academy of Military Science of theChinese People’sLiberation ArmyBeijing 100082China

Rust is a system-level programming language that provides thread and memory safety guarantee through a suite of static compiler checking rules and prevents segmentation ***,since compiler checking is too strict to confine Rust's programmability,the developers prefer to use the keyword"unsafe"to bypass compiler checking,through which the caller could interact with OS ***,the code block with"unsafe"would easily lead to some serious bugs such as memory safety violation,race condition and so *** this paper,to verify memory and concurrency safety of Rust programs,we present RSMC(Safety Model Checker for Rust),a tool based on Smack to detect concurrency bugs and memory safety errors in Rust programs,in which we combine concurrency primitives model checking and memory boundary model ***,with an assertion generator,can automatically insert assertions and requires no programmer annotations to verify Rust *** evaluate RSMC on two categories of Rust programs,and the result shows that RSMC can effectively find concurrency bugs and memory safety errors in vulnerable Rust programs,which include unsafe code.

关键词： Rust memory safety concurrency safety model checking

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Multiple constraints QoS multicast routing optimization algorithm in MANET based on GA

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Progress in Natural science:Materials International 2008年第3期18卷 331-336页

作者： Baolin Sun a,c, Shangchao Pi b, Chao Gui a, Yue Zeng d, Bing Yan a, Wenxiang Wang c, Qianqing Qin c a School of computing, hubei University of Economics, Wuhan 430205, China b College of science, Zhongyuan University of Technology, Zhengzhou 450007, China c State key laboratory of Information engineering in Surveying, Mapping & Remote Sensing, Wuhan University, Wuhan 430079, China d Department of computing, Jiangxi Vocational College of Finance and Economics, Jiangxi 332000, China School of Computing Hubei University of Economics Wuhan 430205 China State Key Laboratory of Information Engineering in Surveying Mapping & Remote Sensing Wuhan University Wuhan 430079 China College of Science Zhongyuan University of Technology Zhengzhou 450007 China Department of Computing Jiangxi Vocational College of Finance and Economics Jiangxi 332000 China

Usually multiple quality of service (QoS) guarantees are required in most multicast applications. This paper presents a multiple con-straints algorithm for multicast traffic engineering in mobile ad hoc networks (MANET). The proposed algorithm is a new version of multiple constraints QoS multicast routing optimization algorithm in MANET based on genetic algorithm (MQMGA). The proposed MQMGA can optimize the maximum link utilization, the cost of the multicast tree, the selection of the long-life path, the average delay and the maximum end-to-end delay. Experimental result shows that the approach is efficient, has promising performance in multicast traffic engineering and for evaluating the route stability in dynamic mobile networks.

关键词： Ad hoc network Multicast routing QoS Genetic algorithm

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