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I-DCGAN and TOPSIS-IFP:A simulation generation model for radiographic flaw detection images in light alloy castings and an algorithm for quality evaluation of generated images

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China Foundry 2024年第3期21卷 239-247页

作者： Ming-jun Hou Hao Dong Xiao-yuan Ji Wen-bing Zou Xiang-sheng Xia Meng Li Ya-jun Yin Bao-hui Li Qiang Chen Jian-xin Zhou State Key Laboratory of Materials Processing and Die&Mould Technology Huazhong University of Science and TechnologyWuhan 430074China Xinjiang Technology(Jiangsu)co. Ltd.Nantong 226100JiangsuChina Southwest technique and Engineering Research Institute Chongqing 400039China shanghai Spaceflight Precision Machinery Institute Shanghai 201600China

The intelligent detection technology driven by X-ray images and deep learning represents the forefront of advanced techniques and development trends in flaw detection and automated evaluation of light alloy ***,the efficacy of deep learning models hinges upon a substantial abundance of flaw *** existing research on X-ray image augmentation for flaw detection suffers from shortco.ings such as poor diversity of flaw samples and low reliability of quality *** this end,a novel approach was put forward,which involves the creation of the Interpolation-Deep co.volutional Generative Adversarial Network(I-DCGAN)for flaw detection image generation and a co.prehensive evaluation algorithm named TOPSIS-IFP.I-DCGAN enables the generation of high-resolution,diverse simulated images with multiple appearances,achieving an improvement in sample diversity and quality while maintaining a relatively lower co.putational ***-IFP facilitates multi-dimensional quality evaluation,including aspects such as diversity,authenticity,image distribution difference,and image distortion *** results indicate that the X-ray radiographic images of magnesium and aluminum alloy castings achieve optimal performance when trained up to the 800th and 600th epochs,*** TOPSIS-IFP value reaches 78.7%and 73.8%similarity to the ideal solution,*** to single index evaluation,the TOPSIS-IFP algorithm achieves higher-quality simulated images at the optimal training *** approach successfully mitigates the issue of unreliable quality associated with single index *** image generation and co.prehensive quality evaluation method developed in this paper provides a novel approach for image augmentation in flaw reco.nition,holding significant importance for enhancing the robustness of subsequent flaw reco.nition networks.

关键词： light alloy casting flaw detection image generator discriminator co.prehensive evaluation index

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Data-driven casting defect prediction model for sand casting based on random forest classification algorithm

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China Foundry 2024年第2期21卷 137-146页

作者： Bang Guan Dong-hong Wang Da Shu Shou-qin Zhu Xiao-yuan Ji Bao-de Sun shanghai Key Lab of Advanced High-Temperature Materials and Precision Forming School of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghai 200240China State Key Lab of Metal Matrix composites Shanghai Jiao Tong UniversityShanghai 200240China Hefei Casting and Forging Factory of Anhui Heli co. LtdHefei 230000China State Key Laboratory of Materials Processing and Die&Mould Technology Huazhong University of Science and TechnologyWuhan 430074China

The co.plex sand-casting process co.bined with the interactions between process parameters makes it difficult to co.trol the casting quality,resulting in a high scrap rate.A strategy based on a data-driven model was proposed to reduce casting defects and improve production efficiency,which includes the random forest(RF)classification model,the feature importance analysis,and the process parameters optimization with Monte Carlo *** co.lected data includes four types of defects and co.responding process parameters were used to co.struct the RF *** results show a recall rate above 90% for all *** Gini Index was used to assess the importance of the process parameters in the formation of various defects in the RF ***,the classification model was applied to different production co.ditions for quality *** the case of process parameters optimization for gas porosity defects,this model serves as an experimental process in the Monte Carlo method to estimate a better temperature *** prediction model,when applied to the factory,greatly improved the efficiency of defect *** show that the scrap rate decreased from 10.16% to 6.68%.

关键词： sand casting process data-driven method classification model quality prediction feature importance

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STGNN-LMR:A Spatial–Temporal Graph Neural Network Approach Based on sEMG Lower Limb Motion Reco.nition

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Journal of Bionic Engineering 2024年第1期21卷 256-269页

作者： Weifan Mao Bin Ma Zhao Li Jianxing Zhang Yizhou Lu Zhuting Yu Feng Zhang shanghai Advanced Research Institute Chinese Academy of SciencesShanghai 201210China University of Chinese Academy of sciences Beijing 101408China University of science and Technology of China Hefei 230026China shanghai Zhongyan Jiuyi Technology co. Ltd.Shanghai 201821China Academy of Military science Bejing 100091China

Lower limb motion reco.nition techniques co.monly employ Surface Electromyographic Signal(sEMG)as input and apply a machine learning classifier or Back Propagation Neural Network(BPNN)for ***,this artificial feature engineering technique is not generalizable to similar tasks and is heavily reliant on the researcher’s subject *** co.trast,neural networks such as co.volutional Neural Network(CNN)and Long Short-term Memory Neural Network(LSTM)can automatically extract features,providing a more generalized and adaptable approach to lower limb motion *** this approach overco.es the limitations of human feature engineering,it may ignore the potential co.relation among the sEMG *** paper proposes a spatial–temporal graph neural network model,STGNN-LMR,designed to address the problem of reco.nizing lower limb motion from multi-channel ***-LMR transforms multi-channel sEMG into a graph structure and uses graph learning to model spatial–temporal *** 8-channel sEMG dataset is co.structed for the experimental stage,and the results show that the STGNN-LMR model achieves a reco.nition accuracy of 99.71%.Moreover,this paper simulates two unexpected scenarios,including sEMG sensors affected by sweat noise and sudden failure,and evaluates the testing results using hypothesis *** to the experimental results,the STGNN-LMR model exhibits a significant advantage over the co.trol models in noise scenarios and failure *** experimental results co.firm the effectiveness of the STGNN-LMR model for addressing the challenges associated with sEMG-based lower limb motion reco.nition in practical scenarios.

关键词： Lower limb motion reco.nition Exoskeleton sEMG.Graph neural network Noise Sensor failure

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Influence of Electroshocking Treatment on Microstructure and Mechanical Properties of Ti-6.5Al-3.5Mo-1.5Zr-0.3Si Thin-Wall Specimen Manufactured by Laser Melting Deposition

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Acta Metallurgica Sinica(English Letters) 2024年第1期37卷 145-158页

作者： Yan Wen Xuan Sun Jian Zhou Bingliang Liu Haojie Guo Yuxin Li Fei Yin Liqiang Wang Lechun Xie Lin Hua Hubei Key Laboratory of Advanced Technology for Automotive co.ponents Wuhan University of TechnologyWuhan430070China Hubei co.laborative Innovation Center for Automotive co.ponents Technology Wuhan430070China Hubei Longzhong Laboratory Xiangyang441000China shanghai Aircraft Manufacturing co. Ltd.Commercial Aircraft Corporation of ChinaLtd.Shanghai201324China State Key Laboratory of Metal Matrix composites School of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghai200240China

In order to improve the properties of titanium alloys manufactured by laser melting deposition(LMD),the electroshocking treatment(EST)was proposed in this *** effects of EST on microstructure and mechanical properties of LMD Ti-6.5Al-3.5Mo-1.5Zr-0.3Si were *** results showed that the width of the heat affected band decreased and disappeared under the thermal and athermal effects of EST,resulting in the uniform *** the microstructure,theαlaths became co.rser gradually,and the quantity ofα/βinterface was *** reduction of the quantity ofα/βinterface leads to make less resistant to dislocation,resulting in the reduction in hardness and *** disco.tinuous grain boundaryαphase and nucleationαco.ony near grain boundary inhibited the crack propagation and improved the ***,EST can manipulate the microstructure and improve the mechanical properties of LMD titanium alloys.

关键词： Electroshocking treatment(EST) Laser melting deposition(LMD) Titanium alloy Microstructure Mechanical properties

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Through-polymer,via technology-enabled,flexible,lightweight,and integrated devices for implantable neural probes

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Microsystems & Nanoengineering 2024年第2期10卷 279-291页

作者： Cunkai Zhou Ye Tian Gen Li Yifei Ye Lusha Gao Jiazhi Li Ziwei Liu Haoyang Su Yunxiao Lu Meng Li Zhitao Zhou Xiaoling Wei Lunming Qin Tiger H.Tao Liuyang Sun co.lege of Electronics and Information Engineering Shanghai University of Electric PowerShanghaiChina 2020 X-Lab Shanghai Institute of Microsystem and Information TechnologyChinese Academy of SciencesShanghaiChina School of Graduate Study University of Chinese Academy of SciencesBeijingChina State Key Laboratory of Transducer Technology Shanghai Institute of Microsystem and Information TechnologyChinese Academy of SciencesShanghaiChina Center of Materials science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijingChina School of Physical science and Technology ShanghaiTech UniversityShanghaiChina Center for Excellence in Brain science and Intelligence Technology Chinese Academy of SciencesShanghaiChina Neuroxess co. Ltd.(Jiangxi)NanchangJiangxiChina Guangdong Institute of Intelligence science and Technology HengqinZhuhaiGuangdongChina Tianqiao and Chrissy Chen Institute for Translational Research ShanghaiChina

In implantable electrophysiological reco.ding systems,the headstage typically co.prises neural probes that interface with brain tissue and integrated circuit chips for signal *** advancements in MEMS and CMOS technology have significantly improved these co.ponents,their interco.nection still relies on co.ventional printed circuit boards and sophisticated *** co.ventional approach adds co.siderable weight and volume to the package,especially for high channel co.nt *** address this issue,we developed a through-polymer via(TPV)method inspired by the through-silico. via(TSV)technique in advanced three-dimensional *** innovation enables the vertical integration of flexible probes,amplifier chips,and PCBs,realizing a flexible,lightweight,and integrated device(FLID).The total weight of the FLIDis only 25%that of its co.ventional co.nterparts relying on adapters,which significantly increased the activity levels of animals wearing the FLIDs to nearly match the levels of co.trol animals without ***,by inco.porating a platinum-iridium alloy as the top layer material for electrical co.tact,the FLID realizes exceptional electrical performance,enabling in vivo measurements of both local field potentials and individual neuron action *** findings showcase the potential of FLIDs in scaling up implantable neural reco.ding systems and mark a significant advancement in the field of neurotechnology.

关键词： alloy neural reco.ding

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Organic ligand nanoarchitectonics for BiVO_(4) photoanodes surface passivation and co.atalyst grafting

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Nano Research 2024年第5期17卷 3667-3674页

作者： Jingyi Lin Xin Li Zhiliang Wang Runlu Liu Hui Pan Yixin Zhao Lingti Kong Yao Li Shenmin Zhu Lianzhou Wang State Key Laboratory of Metal Matrix composites School of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghai 200240China Nanomaterials Centre School of Chemical Engineering and Australian Institute for Bioengineering and Nanotechnologythe University of QueenslandQLD 4072Australia School of Environmental science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China Hubei Key Laboratory of Plasma Chemistry and Advanced Materials Wuhan Institute of TechnologyWuhan 430205China

Bismuth vanadate(BiVO_(4))is a promising photoanode material for efficient photoelectrochemical(PEC)water splitting,whereas its performance is inhibited by detrimental surface *** solve the problem,herein,a low-co.t organic molecule 1,3,5-benzenetricarboxylic acid(BTC)is selected for surface passivation of BiVO_(4) photoanodes(BVOs),which also provides bonding sites for co.(2+)to anchor,resulting in a co.BTC-BVO *** to its strong co.rdination with metal ions,BTC not only passivates surface states of BVO,but also provides bonding between BVO and catalytic active sites(co.(2+))to form a molecular *** study and interfacial charge kinetic investigation reveal that chemical bonding formed at the interface greatly suppresses charge reco.bination and accelerates charge *** obtained co.BTC-BVO photoanode exhibits a photocurrent density of 4.82 mA/cm^(2) at 1.23 V *** hydrogen electrode(RHE)and a low onset potential of 0.22 VRHE under AM 1.5 G illumination,which ranks among the best photoanodes co.pled with co.based *** work presents a novel selection of passivation layers and emphasizes the significance of interfacial chemical bonding for the co.struction of efficient photoanodes.

关键词： bismuth vanadate photoanode water splitting surface passivation bridging ligands

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Ti_(3)C_(2)T_(x) MXene/carbon composites for advanced supercapacitors:Synthesis,progress,and perspectives

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Carbon Energy 2024年第2期6卷 113-142页

作者： Yanqing Cai Xinggang Chen Ying Xu Yalin Zhang Huijun Liu Hongjuan Zhang Jing Tang co.lege of Materials science and Engineering North China University of Science and TechnologyTangshanChina Hebei Iron and Steel Laboratory North China University of Science and TechnologyTangshanChina Songshan Lake Materials Laboratory DongguanChina shanghai Key Laboratory of Green Chemistry and Chemical Processes School of Chemistry and Molecular EngineeringEast China Normal UniversityShanghaiChina State Key Laboratory of Petroleum Molecular and Process Engineering(SKLPMPE) Sinopec Research Institute of Petroleum Processing Co.Ltd.BeijingChina Institute of Eco.Chongming ShanghaiChina

MXenes are a family of two-dimensional(2D)layered transition metal carbides/nitrides that show promising potential for energy storage applications due to their high-specific surface areas,excellent electron co.ductivity,good hydrophilicity,and tunable *** various types of MXenes,Ti_(3)C_(2)T_(x) is the most widely studied for use in capacitive energy storage applications,especially in supercapacitors(SCs).However,the stacking and oxidation of MXene sheets inevitably lead to a significant loss of electrochemically active *** overco.e such challenges,carbon materials are frequently inco.porated into MXenes to enhance their electrochemical *** review introduces the co.mon strategies used for synthesizing Ti_(3)C_(2)T_(x),followed by a co.prehensive overview of recent developments in Ti_(3)C_(2)T_(x)/carbon composites as electrode materials for ***_(3)C_(2)T_(x)/carbon composites are categorized based on the dimensions of carbons,including 0D carbon dots,1D carbon nanotubes and fibers,2D graphene,and 3D carbon materials(activated carbon,polymer-derived carbon,etc.).Finally,this review also provides a perspective on developing novel MXenes/carbon composites as electrodes for application in SCs.

关键词： electrochemical performance MXene/carbon composites supercapacitors

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A new insight into LPSO phase transformation and mechanical properties uniformity of large-scale Mg-Gd-Y-Zn-Zr alloy prepared by multi-pass friction stir processing

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Journal of Magnesium and Alloys 2024年第5期12卷 2041-2056页

作者： Xiaohu Guan Wen Wang Ting Zhang Pai Peng Qiang Liu Peng Han Ke Qiao Jun Cai Liqiang Wang Kuaishe Wang School of Metallurgical Engineering National and Local Joint Engineering Research Center for Functional Materials ProcessingXi’an University of Architecture and TechnologyNo.13 Yanta RoadXi’anShaanxi 710055China Xi’an Rare Metal Materials Institute co.Ltd Xi’an 710016China State Key Laboratory of Metal Matrix composites School of Material Science and EngineeringShanghai Jiao Tong UniversityNo.800 Dongchuan RoadShanghai 200240China

A large-scale fine-grained Mg-Gd-Y-Zn-Zr alloy plate with high strength and ductility was successfully prepared by multi-pass friction stir processing(MFSP)technology in this *** structure of grains and long period stacking ordered(LPSO)phase were characterized,and the mechanical properties uniformity was ***,a quantitative relationship between the microstructure and tensile yield strength was *** results showed that the grains in the processed zone(PZ)and interfacial zone(IZ)were refined from 50μm to 3μm and 4μm,respectively,and numerous original LPSO phases were *** IZ,some block-shaped 18R LPSO phases were transformed into needle-like 14H LPSO phases due to stacking faults and the short-range diffusion of solute *** severe shear deformation in the form of kinetic energy caused profuse stacking fault to be generated and move rapidly,greatly increasing the transformation rate of LPSO *** MFSP,the ultimate tensile strength,yield strength and elongation to failure of the large-scale plate were 367 MPa,305 MPa and 18.0% *** refinement and LPSO phase strengthening were the major strengthening mechanisms for the MFSP *** particularly,the strength of IZ was co.parable to that of PZ because the strength co.tribution of the 14H LPSO phase offsets the lack of grain refinement strengthening in *** result opposes the widely accepted notion that IZ is a weak region in MFSP-prepared large-scale fine-grained plate.

关键词： Friction stir processing Multi-pass Mg-Gd-Y-Zn-Zr alloy LPSO phase transformation Mechanical properties

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Progress and future prospects of decadal prediction and data assimilation:A review

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Atmospheric and Oceanic science Letters 2024年第1期17卷 53-62页

作者： Wen Zhou Jinxiao Li Zixiang Yan Zili Shen Bo Wu Bin Wang Ronghua Zhang Zhijin Li Key Laboratory of Polar Atmosphere-ocean-ice System for Weather and Climate of the MOE Department of Atmospheric and Oceanic Science&Institute of Atmospheric ScienceFudan UniversityShanghaiChina Key Laboratory for Polar science of the MNR Polar Research Institute of ChinaShanghaiChina shanghai Investigation Design and Research Institute Co.Ltd.ShanghaiChina LASG Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina School of Marine science Nanjing University of Information Science&TechnologyNanjingChina

年代际预测,也称为“近期气候预测”,旨在预测未来1-10年内的气候变化,是气候预测和气候变化研究领域的一个新关注点.它位于季节至年际预测和长期气候变化预测之间,结合了初值问题和外部强迫问题的两个方面.年代际预测的核心技术在于用... 详细信息

年代际预测,也称为“近期气候预测”,旨在预测未来1-10年内的气候变化,是气候预测和气候变化研究领域的一个新关注点.它位于季节至年际预测和长期气候变化预测之间,结合了初值问题和外部强迫问题的两个方面.年代际预测的核心技术在于用于模式初始化的同化方法的准确性和效率,其目标是为模式提供准确的初始条件,其中包含观测到的气候系统内部变率,年代际预测的初始化通常涉及在耦合框架内同化海洋观测,其中观测到的信号通过耦合过程传递到其他分量,如大气和海冰.然而,最近的研究越来越关注在海洋-大气耦合模式中探索耦合数据同化(CDA),有人认为CDA有潜力显著提高年代际预测技巧.本文综合评述了该领域的三个方面的研究现状:初始化方法,年代际气候预测的可预测性和预测技巧,以及年代际预测的未来发展和挑战.

关键词：年代际预测四维数据同化海气相互作用

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Analysis on the turning point of dynamic in-plane co.pressive strength for a plain weave co.posite

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Defence Technology（防务技术） 2024年第2期32卷 485-495页

作者： Xiaoyu Wang Zhixing Li Licheng Guo Zhenxin Wang Jiuzhou Zhao Department of Astronautic science and Mechanics Harbin Institute of TechnologyHarbin150001China AECC co.mercial Aircraft Engine co LTDShanghai201108China

Experimental investigations on dynamic in-plane co.pressive behavior of a plain weave co.posite were performed using the split Hopkinson pressure bar. A quantitative criterion for calculating the co.stant strain rate of composites was established. Then the upper limit of strain rate, restricted by stress equilibrium and co.stant loading rate, was rationally estimated and co.firmed by tests. Within the achievable range of 0.001/s-895/s, it was found that the strength increased first and subsequently decreased as the strain rate increased. This feature was also reflected by the turning point(579/s) of the bilinear model for strength prediction. The transition in failure mechanism, from local opening damage to co.pletely splitting destruction, was mainly responsible for such strain rate effects. And three major failure modes were summarized under microsco.ic observations: fiber fracture, inter-fiber fracture, and interface delamination. Finally, by introducing a nonlinear damage variable, a simplified ZWT model was developed to characterize the dynamic mechanical response. Excellent agreement was shown between the experimental and simulated results.

关键词： Plain weave co.posite Dynamic strength Quantitative criterion Turning point Failure mechanism

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