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The influence of process parameters and building orientation on fracture toughness and fatigue crack growth behavior of laser powder bed fused tantalum

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International Journal of Fatigue 2025年 199卷

作者： Rongzheng Huang Wenling Shi Kuixue Xu Rong Wang Haiqiong Xie Kai Wei Key Laboratory of Advanced Design and Simulation Techniques for Special Equipment Ministry of Education Hunan University Changsha 410082 PR China Beijing Chunlizhengda Medical Instruments Co. Ltd. Beijing 101100 PR China Defense Innovation Institute Academy of Military Sciences Beijing 100071 PR China School of Integrated Circuits Chongqing University of Posts and Telecommunications Chongqing 400065 PR China Chongqing Institute of Bio-Intelligent Manufacturing Chongqing 401336 PR China

Laser powder bed fused tantalum (LPBF-Ta) is a burgeoning biometal for application in personalized orthopedic implants. However, the effects of process parameters and building orientation on fracture toughness and fatigue crack growth behavior remain to be elucidated. In this study, LPBF-Ta with superior crack resistance was fabricated by optimizing laser energy density and building orientation, and the underlying strengthening and failure mechanisms were revealed. The experimental results indicate that the optimal fracture toughness of 77.4 MPa∙m 1/2 and the lowest fatigue crack growth rate were obtained in samples built along the XY orientation at a laser energy density of 154.16 J/mm 3 . Superior plastic deformation capabilities lead to crack tip blunting, and localized fracture regions along the boundaries of cellular structures facilitate crack branching and deflection, synergistically contributing to the excellent fracture toughness. Besides, high-angle grain boundaries, triple junctions, cellular blocks, and dislocation networks collectively impede dislocation mobility, thereby resulting in a reduced fatigue crack growth rate. Conversely, samples built along the ZX orientation at identical laser energy density demonstrated superior fatigue crack growth threshold. The elevated threshold is primarily attributed to the slip mismatch between adjacent grains and the roughness-dominated crack closure effect.

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Exploring the role of visual content in fake news detection

arXiv

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arXiv 2020年

作者： Cao, Juan Qi, Peng Sheng, Qiang Yang, Tianyun Guo, Junbo Li, Jintao Key Laboratory of Intelligent Information Processing Center for Advanced Computing Research Institute of Computing Technology CAS China University of Chinese Academy of Sciences China

The increasing popularity of social media promotes the proliferation of fake news, which has caused significant negative societal effects. Therefore, fake news detection on social media has recently become an emerging research area of great concern. With the development of multimedia technology, fake news attempts to utilize multimedia content with images or videos to attract and mislead consumers for rapid dissemination, which makes visual content an important part of fake news. Despite the importance of visual content, our understanding about the role of visual content in fake news detection is still limited. This chapter presents a comprehensive review of the visual content in fake news, including the basic concepts, effective visual features, representative detection methods and challenging issues of multimedia fake news detection. This chapter can help readers to understand the role of visual content in fake news detection, and effectively utilize visual content to assist in detecting multimedia fake news. Copyright © 2020, The Authors. All rights reserved.

关键词： Social networking (online)

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Research on the optimization of blanking process for the circuit breaker positioning plate

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Engineering Letters 2021年第4期29卷 1585-1594页

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

This paper, through the theory of multi-objective parameter optimization, the finite-element analysis and central composite test of the blanking process of the locating plate of the breaker are carried out. The optimal blanking process parameters of the positioning plate of the circuit breaker are determined, and the influence laws of the independent variable blanking gap, the punch edge radius and the blanking speed on the maximum blanking force and the length of the bright belt are obtained. The experimental results show that the production efficiency of the positioning plate of the circuit breaker is increased by 25%, and the actual machining error is only 4%, which provides a certain guiding significance for optimizing the blanking process parameters. © 2021, International Association of Engineers. All rights reserved.

关键词： Multiobjective optimization

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Proton storage chemistry in aqueous zinc-organic batteries:A review

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InfoMat 2023年第2期5卷 45-65页

作者： Xianming Deng James Kumankuma Sarpong Guobin Zhang Jing Hao Xu Zhao Linyuan Li Hongfei Li Cuiping Han Baohua Li Shenzhen Key Laboratory of Power Battery Safety and Shenzhen Geim Graphene Center Tsinghua Shenzhen International Graduate SchoolTsinghua UniversityShenzhenPeople's Republic of China School of System Design and Intelligent Manufacturing Southern University of Science and TechnologyShenzhenGuangdongPeople's Republic of China Faculty of Materials Science and Energy Engineering Institute of Technology for Carbon NeutralityShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenPeople's Republic of China Shenzhen Key Laboratory of Energy Materials for Carbon Neutrality Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenPeople's Republic of China

Benefiting from the advantageous features of structural diversity and resource renewability,organic electroactive compounds are considered as attractive cathode materials for aqueous Zn-ion batteries(ZIBs).In this review,we discuss the recent developments of organic electrode materials for aqueous *** the proton(H^(+))storage chemistry in aqueous Zn-organic batteries has triggered an overwhelming literature surge in recent years,this topic remains ***,our review focuses on this significant issue and summarizes the reported electrochemical mechanisms,including pure Zn^(2+)intercalation,pure H^(+)storage,and H^(+)/Zn^(2+)***,the impact of H^(+)storage on the electrochemical performance of aqueous ZIBs is discussed *** the significance of H^(+)storage,we also highlight the relevant characterization methods ***,perspectives and directions on further understanding the charge storage mechanisms of organic materials are *** hope that this review will stimulate more attention on the H^(+)storage chemistry of organic electrode materials to advance our understanding and further its application.

关键词： aqueous zinc-ion batteries H^(+)/Zn^(2+)co-storage organic electrode materials proton storage chemistry

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Dual Perceptual Loss for Single Image Super-Resolution Using ESRGAN

arXiv

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arXiv 2022年

作者： Song, Jie Yi, Huawei Xu, Wenqian Li, Xiaohui Li, Bo Liu, Yuanyuan School of Electronics and Information Engineering Liaoning University of Technology Jinzhou121001 China Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University Dalian116622 China

The proposal of perceptual loss solves the problem that per-pixel difference loss function causes the reconstructed image to be overly-smooth, which acquires a significant progress in the field of single image super-resolution reconstruction. Furthermore, the generative adversarial networks (GAN) is applied to the super-resolution field, which effectively improves the visual quality of the reconstructed image. However, under the condtion of high upscaling factors, the excessive abnormal reasoning of the network produces some distorted structures, so that there is a certain deviation between the reconstructed image and the ground-truth image. In order to fundamentally improve the quality of reconstructed images, this paper proposes a effective method called Dual Perceptual Loss (DP Loss), which is used to replace the original perceptual loss to solve the problem of single image super-resolution reconstruction. Due to the complementary property between the VGG features and the ResNet features, the proposed DP Loss considers the advantages of learning two features simultaneously, which significantly improves the reconstruction effect of images. The qualitative and quantitative analysis on benchmark datasets demonstrates the superiority of our proposed method over state-of-the-art super-resolution methods. Copyright © 2022, The Authors. All rights reserved.

关键词： Generative adversarial networks

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Speech Emotion Recognition using Channel Attention Mechanism

Speech Emotion Recognition using Channel Attention Mechanism

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International Conference on Computer Engineering and Applications (ICCEA)

作者： Ruifeng Zhu Caixia Sun Xiaopeng Wei Lasheng Zhao Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education (Dalian University) Dalian University Dalian China School of Computer Science and Technology Dalian University of Technology Dalian China

In order to improve the accuracy of speech emotion recognition, this paper proposes a speech emotion recognition method based on the channel attention mechanism. Firstly, Mel Frequency Ceptral Coefficient(MFCC), speech spectrograms and spectral envelopes are selected as the initial input features; then, multiple depth network models are used to extract feature maps from different angles in parallel; then, weights are assigned and fused to the feature maps output from each sub-depth network model by the channel attention mechanism; finally, the fused feature maps are used to predict emotion categories. The experimental results on CASIA, Emo-DB, and SAVEE emotion datasets show that the method achieves 88.3 % , 85.1%, and 64.5% recognition accuracy, respectively, with better recognition performance compared to recent comparative literature models.

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Passivity of Reaction–Diffusion Genetic Regulatory Networks with Time-Varying Delays

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Neural Processing Letters 2017年第3期47卷 1115-1132页

作者： Zou, Chengye Wei, Xiaopeng Zhang, Qiang Zhou, Changjun Faculty of Electronic Information and Electrical Engineering Dalian University of Technology Dalian China Key Laboratory of Advanced and Intelligent Computing Dalian University Ministry of Education Dalian China

This article investigates the passivity of reaction–diffusion genetic regulatory networks (GRNs) with time-varying delays and uncertainty terms under Dirichlet, Neumann, and Robin boundary conditions. We provide delay-dependent stability criteria by constructing appropriate Lyapunov–Krasovskii functions and linear matrix inequalities, and offer conditions sufficient to ensure the passivity of GRNs. We conducted a comparative analysis of GRNs under these three conditions. Numerical examples of the proposed approaches are provided to illustrate its effectiveness, and represent the three-dimensional figures of the trajectories of the concentrations of mRNA and the proteins of GRNs under Dirichlet boundary conditions.

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Convolutional neural network-assisted recognition of nanoscale L1_(2) ordered structures in face-centred cubic alloys

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npj Computational Materials 2021年第1期7卷 60-68页

作者： Yue Li Xuyang Zhou Timoteo Colnaghi Ye Wei Andreas Marek Hongxiang Li Stefan Bauer Markus Rampp Leigh T.Stephenson Max-Planck Institut für Eisenforschung GmbH Max-Planck-Straße 140237 DüsseldorfGermany Max Planck Computing and Data Facility Gießenbachstraße 285748 GarchingGermany State Key Laboratory for Advanced Metals and Materials University of Science and Technology Beijing100083 BeijingChina Max Planck Institute for Intelligent Systems Max-Planck-Ring 472076 TübingenGermany

Nanoscale L12-type ordered structures are widely used in face-centered cubic(FCC)alloys to exploit their hardening capacity and thereby improve mechanical *** fine-scale particles are typically fully coherent with matrix with the same atomic configuration disregarding chemical species,which makes them challenging to be *** distribution maps(SDMs)are used to probe local order by interrogating the three-dimensional(3D)distribution of atoms within reconstructed atom probe tomography(APT)***,it is almost impossible to manually analyze the complete point cloud(>10 million)in search for the partial crystallographic information retained within the ***,we proposed an intelligent L1_(2)-ordered structure recognition method based on convolutional neural networks(CNNs).The SDMs of a simulated L1_(2)-ordered structure and the FCC matrix were firstly *** simulated images combined with a small amount of experimental data were used to train a CNN-based L1_(2)-ordered structure recognition ***,the approach was successfully applied to reveal the 3D distribution of L1_(2)–typeδ′–Al3(LiMg)nanoparticles with an average radius of 2.54 nm in a FCC Al-Li-Mg *** minimum radius of detectable nanodomain is even down to 5Å.The proposed CNN-APT method is promising to be extended to recognize other nanoscale ordered structures and even more-challenging short-range ordered phenomena in the near future.

关键词： alloys ordered cubic

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Robust H Sliding Mode Controller design of a Class of Time-Delayed Discrete Conic-Type Nonlinear Systems

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IEEE Transactions on Systems, Man, and Cybernetics: Systems 2021年第2期51卷 885-892页

作者： He, Shuping Lyu, Weizhi Liu, Fei Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Jiangnan University Wuxi China

This paper studies the {H}_{ {\infty }} sliding mode control (SMC) problem for a class of discrete-time conic-type nonlinear systems with time-delays and uncertainties. The nonlinear terms satisfy the conic-type constraint condition that lies in a know hyper-sphere with an uncertain center. By choosing a proper Lyapunov candidate, sufficient conditions are derived to ensure the asymptotic stability of the sliding mode dynamics while achieving a prescribed {H}_{ {\infty }} disturbance attenuation level and finally converted into a minimization problem. The controller is constructed to guarantee the discrete-time reach condition and maintain the states on the prespecified sliding surface. A simulation result and a practical example related to the Chua's circuit are given at last to show the validity of our SMC strategy. © 2013 IEEE.

关键词： Time delay

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Conditional generative adversarial networks based on the principle of homologycontinuity for face aging

Conditional generative adversarial networks based on the pri...

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作者： Ning, Xin Gou, Duoduo Dong, Xiaoli Tian, Weijuan Yu, Lina Wang, Chuansheng Institute of Semiconductors Chinese Academy of Sciences Beijing China Cognitive Computing Technology Joint Laboratory Wave Group Beijing China School of Microelectronics University of Chinese Academy of Sciences Beijing China Beijing Key Laboratory of Semiconductor Neural Network Intelligent Sensing and Computing Technology Beijing China Shenzhen Institutes of Advanced Technology Chinese Academy of Science Shen Zhen China

Age is one of the most important biological characteristics of the human face. The increase of age coincides with the increase of the aging degree of the face. Face aging synthesis is attracting increasingly more attention from domestic and overseas scholars in the computer vision and computer graphics fields, and it can be integrated into the basic research of face correlation, such as cross-age face analysis and age estimation. At present, some achievements have been made in face aging synthesis research;however, it is still an urgent problem to reduce the number of parameters and computational complexity of the network while ensuring the aging effect. Therefore, a new face aging algorithm is proposed in this article. Unlike the previous methods of aging process simulation, we introduce an assisted age classification network based on the principle of homology continuity, which is more in line with the human cognition process. After pretraining, the result of age classification is improved, and the pretraining model is then added to the framework of aging face generation for fine-tuning to constrain the generated aging face, which can improve the aging accuracy of the generated image. Furthermore, we reconstruct the input face by using the age tag of the input face and the synthesized aging face and maintain the identity invariance in the face aging process by minimizing the reconstruction loss. The experimental results show that the method proposed in this article produces a considerable effect of face aging and significantly reduces the number of parameters and the complexity of computational. © 2020 John Wiley & Sons, Ltd.

关键词： Generative adversarial networks

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