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Root inspired in situ interlocked interface for strength and ductility combination of refractory high-entropy alloys/Ni composites by activated sintering

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Materials science and Engineering: A 2025年 939卷

作者： Yang, Xiao Yang, De Huang, Hai Wang, Shubang Zhang, Zehai Liang, Zhimin Wang, Liwei Peng, Zhenzhen Liu, Ying Wang, Dianlong Hebei Key Laboratory of Material Near-Net Forming Technology School of Materials Science and Engineering Hebei University of Science and Technology Shijiazhuang050018 China School of Materials Science and Engineering East China Jiaotong University Nanchang330013 China Key Laboratory of Superlight Material and Surface Technology Ministy of Education College of Materials Science and Chemical Engineering Harbin Engineering University Harbin150001 China School of Mechanical Engineering Yanshan University Qinhuangdao066004 China

This work proposed a simple bionic-inspired strategy to in situ construct a root-like interfacial interlocked structure in the refractory high-entropy alloys (RHEA) particle-reinforced Ni matrix composites by activated sintering. The results showed that at the RHEA-Ni interface, Ni element preferred to aggregate inside the RHEA near the interface by grain boundaries (GBs) wetting and far away from the interface by GBs prewetting. Subsequently, the Ni-rich liquid-like film crystallized into Ni3(Ta, Nb), Ni2(Ta, Nb) phases due to relatively low Gibbs free energy change (ΔG) and high diffusion rate, in situ forming root-like interlocked structure anchored on the RHEA particle. At the root-like interlocked interface, the Ni-Ta intermetallic compounds (IMCs) and BCC phase, serving as alternating hard and soft oriented phases, enhance the interlocked interface hardness and elastic modulus. The finite element method proved that the root-like interlocked structure reduced the demand for interfacial reaction layer strength and the degree of interfacial stress concentration. Compared to the pure Ni bulk, the 10 vol% RHEA/Ni composite obtains 41.8 % and 93.4 % in ultimate tensile strength (UTS) to 509 MPa and yield strength (YS) to 205 MPa, respectively, while maintaining an acceptable elongation of 15.8 %. This work offers a novel approach to in situ synthesize the bionic configuration interface structure for the enhanced interfacial bonding and optimized interfacial stress distribution of the Ni matrix composites. © 2025 Elsevier B.V.

关键词： Tensile strength

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On Range-dimensional Performance Improvement of FD-MIMO Sonar Using Deconvolution

On Range-dimensional Performance Improvement of FD-MIMO Sona...

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OCEANS

作者： Jingrong WU Xionghou Liu Chao Sun Guangyu Jiang Dezhi Kong Kuan Fan School of Marine Science and Technology Northwestern Polytechnical University Xi'an P. R. China Science and Technology on Near-Surface Detection Laboratory Wu Xi P. R. China

ISBN: (数字)9781728154466

ISBN: (纸本)9781728184098

The frequency diverse multiple-input multiple-output (FD-MIMO) sonar can achieve improved detection performance in the range dimension by synthesizing echoes at different frequency bands without over-demanding system bandwidth. However, the existing bandwidth synthesis (BS) method suffers from high-level range sidelobes caused by the spectral leakage of the subband signals and the discontinuity of the synthesized spectrum. Hence, it is hard to detect a weak target in the range dimension. To address this problem, a deconvolved bandwidth synthesis (DBS) method is proposed, which can suppress the range-dimensional sidelobes by post-processing the beam output of the synthesized spectrum. To be specific, we first employ the narrowband frequency diverse linear frequency modulated (FD-LFM) pulses to construct the range-dimensional point spread function (PSF), and then apply the PSF and the Richardson-Lucy (R-L) algorithm to deconvolve the data obtained by synthesizing spectra of the subband signals. Simulation results indicate that for the FD-MIMO sonar the proposed DBS method shows a better interference rejection ability and a higher range resolution in the range dimension than the BS method.

关键词： Sonar Satellite broadcasting Signal to noise ratio Frequency diversity Frequency modulation Deconvolution Array signal processing

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A Study on the Relationship Between the detection Distance of Borehole Radar and the Resistivity of Background Medium

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IOP Conference Series: Earth and Environmental science 2021年第1期660卷

作者： Weicun Yan Sixin Liu College of Geo-exploration Science and Technology Jilin University Changchun China Science and Technology on Near-Surface Detection Laboratory Wuxi China

Borehole radar has been widely used in engineering, exploration and other fields, and the detection distance of borehole radar is an important indicator to measure its performance. The detection distance of borehole radar is affected by many factors, including the radar system, the physical properties of background medium, the borehole environment and so on. In this paper, the relationship between the detection distance of the borehole radar and the resistivity of background medium is studied by numerical simulation. The experimental results show that the detection distance of borehole radar increases with the increase of the resistivity of background medium, and the relationship between them is approximately linear. This kind of simulation is helpful to the theoretical study of the borehole radar.

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Research on radio imaging method (RIM) multifrequency information fusion methods

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IOP Conference Series: Earth and Environmental science 2021年第1期660卷

作者： Jianfu Ni Xue Han Sixin Liu College of Geo-Exploration Science and Technology Jilin University Changchun China Science and Technology on Near-Surface Detection Laboratory Wuxi China

Radio imaging method (RIM) also called cross-hole electromagnetic wave method, is widely used in mineral exploration, engineering exploration and other fields. The RIM system can collect multi-frequency information, but the use of multi-frequency information is still limited to qualitative analysis or only one type of frequency information is used. By summarizing the multi-frequency information utilization methods appearing in a variety of geophysical methods, and the feasibility of RIM multi-frequency utilization is proved through theoretical analysis, three multi-frequency information fusion methods suitable for RIM are proposed, namely multi-frequency inversion strategies, Multi-frequency data fusion and multi-frequency image fusion. An example application analysis shows that the three multi-frequency information fusion methods make full use of the advantages of different frequencies and can improve the imaging result.

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Search for the lepton favor violating decay J/ψ→eμ

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science China(Physics,Mechanics & Astronomy) 2023年第2期66卷 24-33页

作者： BESII Collaboratio Institute of High Energy Physics Beijing 100049 China Beihang University Beijing 100191 China Beijing Institute of Petrochemical Technology Beijing 102617 China Bochum Ruhr-University Bochum D-44780 Germany Carnegie Mellon University Pittsburgh 15213 USA Central China Normal University Wuhan 430079 China Central South University Changsha 410083 China China Center of Advanced Science and Technology Beijing 100190 China COMSATS University Islamabad Lahore Campus Defence Road Off Raiwind Road Lahore 54000 Pakistan Fudan University Shanghai 200433 China G.I. Budker Institute of Nuclear Physics SB RAS (BINP) Novosibirsk 630090 Russia GSI Helmholtzcentre for Heavy Ion Research GmbH Darmstadt D-64291 Germany Guangxi Normal University Guilin 541004 China Guangxi University Nanning 530004 China Hangzhou Normal University Hangzhou 310036 China Hebei University Baoding 071002 China Helmholtz Institute Mainz Staudinger Weg 18 Mainz D-55099 Germany Henan Normal University Xinxiang 453007 China Henan University of Science and Technology Luoyang 471003 China Henan University of Technology Zhengzhou 450001 China Huangshan College Huangshan 245000 China Hunan Normal University Changsha 410081 China Hunan University Changsha 410082 China Indian Institute of Technology Madras Chennai 600036 India Indiana University Bloomington 47405 USA INFN Laboratori Nazionali di Frascati INFN Laboratori Nazionali di Frascati Frascati I-00044 Italy INFN Laboratori Nazionali di Frascati INFN Sezione di Perugia Perugia I-06100 Italy INFN Laboratori Nazionali di Frascati University of Perugia Perugia I-06100 Italy INFN Sezione di Ferrara INFN Sezione di Ferrara Ferrara I-44122 Italy INFN Sezione di Ferrara University of Ferrara Ferrara I-44122 Italy Institute of Modern Physics Lanzhou 730000 China Institute of Physics and Technology Peace Avenue 54B Ulaanbaatar 13330 Mongolia Jilin University Changchun 130012 China Johannes Gutenberg Univers

We present a search for the lepton flavor violating decay J/ψ→e±μ?using 8.998×109J/ψevents collected with the BESⅢdetector at the BEPCⅡe+e-storage *** excess of signal above background is observed;we therefore set an upper limit on the branching fraction of B(J/ψ→e±μ?)<4.5×10-9at the 90%confidence *** the previous best result by a factor of more than 30,this measurement places the most stringent limit to date on lepton flavor violation in the heavy quarkonium sector.

关键词： BESⅢ decay limit

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Research on Intelligent Acoustic Positioning System Based on Kalman Filter Model

Research on Intelligent Acoustic Positioning System Based on...

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2018 Chinese Automation Congress, CAC 2018

作者： Ming, Zhao Kai, Ding Yingjiao, Rong Hanming, Qian Science and Technology on Near-Surface Detection Laboratory WUXI China

ISBN: (纸本)9781728113128

Passive acoustic positioning is the use of acoustic sensor array to receive target acoustic signals, Extracting spatial information of the sound source through signal processing, a positioning technique to determine the target orientation and distance. In this paper, the Kalman filter algorithm is used to estimate the delay of different sensor signals, and the spatial azimuth geometry algorithm is used to analyze the target azimuth and elevation angle. A control method is designed to keep the S curve of the motor smooth and simplify the S-curve acceleration and deceleration. The azimuth angle is controlled by the new S-curve to control the horizontal motor, which can effectively monitor the target.1 © 2018 IEEE.

关键词： Kalman filters

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Research on Propagation Characteristics of Seismic Signal for Moving Armoured Targets

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IOP Conference Series: Earth and Environmental science 2021年第1期660卷

作者： Kai Ding Shoujun Zheng Xinghua Li Yingjiao Rong Science and Technology on Near–Surface Detection Laboratory Wuxi China 214035 Army Engineering University of PLA Nanjing China 210007

This paper is focused on the Seismic Signal characteristics of wheel and track vehicles. The effect of vehicle speed of these two vehicles on the Seismic Signal was studied through experimental and theorical methods. The Seismic Signal s of these two vehicles with two different speeds were tested firstly. Then the measured signals were analyzed by means of the power spectrum method and the wavelet transform method, respectively. And the time- and frequency domain features of the signals were obtained subsequently. Finally, the influence of the speed and type of vehicle on the time- and frequency domain features of the signal and its propagation characteristic were investigated. The results show that, with the propagation of vehicle speed and distance, there is a similar varying law of the Seismic Signal for different vehicles. However, the difference of the time- and frequency domain feature between the two vehicles are striking.

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Luminosities and energies of e+e- collision data taken between ■=4.61 GeV and 4.95 GeV at BESⅢ

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Chinese Physics C 2022年第11期46卷 70-81页

作者：麦迪娜 M.N.Achasov P.Adlarson M.Albrecht R.Aliberti A.Amoroso 安美儒安琪白旭红白羽 O.Bakina Ferroli R.Baldini I.Balossino 班勇 V.Batozskaya D.Becker K.Begzsuren N.Berger M.Bertani D.Bettoni F.Bianchi J.Bloms A.Bortone I.Boyko R.A.Briere A.Brueggemann 蔡浩蔡啸 A.Calcaterra 曹国富曹宁 S.A.Cetin 常劲帆常万玲 G.Chelkov 陈琛陈超陈刚陈和生陈玛丽陈申见陈少敏 T.Chen 陈旭荣 X.T.Chen 陈元柏陈卓俊成伟帅初晓 G.Cibinetto F.Cossio 崔佳佳代洪亮代建平 A.Dbeyssi Boer R.E.de D.Dedovich 邓子艳 A.Denig I.Denysenko M.Destefanis Mori F.De 丁勇董静董燎原董明义董翔杜书先 P.Egorov 范玉兰方建房双世方文兴方易 R.Farinelli L.Fava F.Feldbauer G.Felici 封常青冯俊华 K Fischer M.Fritsch C.Fritzsch 傅成栋高涵高原宁高扬 S.Garbolino I.Garzia 葛潘婷葛振武耿聪 E.M.Gersabeck A Gilman K.Goetzen 龚丽龚文煊 W.Gradl M.Greco 谷立民顾旻皓顾运厅关春懿郭爱强郭立波郭如盼郭玉萍 A.Guskov 韩婷婷韩文颖郝喜庆 F.A.Harris 何凯凯何康林 F.H.Heinsius C.H.Heinz 衡月昆 C.Herold M.Himmelreich 侯国一侯颖锐侯治龙胡海明 J.F.Hu 胡涛胡誉黄光顺黄凯旋黄麟钦黄麟钦黄性涛黄燕萍黄震 T.Hussain N Hüsken W.Imoehl M.Irshad J.Jackson S.Jaeger S.Janchiv 纪全姬清平季晓斌季筱璐吉钰瑶贾泽坤姜侯兵姜赛赛江晓山 Y.Jiang 焦健斌焦铮金山金毅荆茂强 T.Johansson N.Kalantar-Nayestanaki 康晓珅 R.Kappert 柯百谦 I.K.Keshk A.Khoukaz P.Kiese R.Kiuchi R.Kliemt L.Koch O.B.Kolcu B.Kopf M.Kuemmel M.Kuessner A.Kupsc W.Kühn J.J.Lane J.S.Lange P.Larin A.Lavania L.Lavezzi 雷祚弘 H.Leithoff M.Lellmann T.Lenz 李翠李聪李春花李澄李德民李飞李刚李慧李贺李海波李惠静 H.N.Li J.Q.Li 李静舒李井文李科李林健李龙科李蕾李明浩李培荣李素娴栗帅迎李腾李卫东李卫国李旭红李晓玲李晓宇梁昊梁浩梁浩梁勇飞梁羽铁廖广睿廖龙洲 J.Libby A.Limphirat 林创新林德旭 T.Lin 刘北江刘春秀 D.Liu 刘福虎刘芳刘峰 G.M.Liu H.Liu 刘宏邦刘怀民刘欢欢刘汇慧刘建北刘佳俊刘晶译刘凯刘魁勇刘珂刘亮刘露刘美宏刘佩莲刘倩刘树彬刘桐刘维克刘卫民刘翔刘英刘玉斌刘振安刘智青娄辛丑卢飞翔吕海江吕军光陆小玲卢宇卢云鹏 Z.H.Lu 罗成林罗民兴罗涛罗小兰吕晓睿吕翌丰马凤才马海龙马连良马明明马秋梅马润秋马瑞廷马骁妍马尧 F.E.Maas M.Maggiora S.Maldaner S.Malde Q.A.Malik A.Mangoni 冒亚军毛泽普 S.Marcello 孟召霞 J.G.Messchendorp G.Mezzadri H.Miao 闵天觉 R.E.Mitchell 莫晓虎 N.Yu.Muchnoi Y.Nefedov F.Nerling I.B.Nikolaev 宁哲 S.Nisar 牛艳 S.L.Olsen 欧阳群 S.Pacetti 潘祥潘越 A.Pathak M.Pelizaeus 彭海平 K.Peters 平加伦平荣刚 S.Plura S.Pogodin V.Prasad 齐法制齐航漆红荣祁鸣齐天钰钱森钱文斌钱圳乔从丰秦佳佳秦丽清覃潇平秦小帅秦中华邱进发屈三强 K.H.Rashid C.F.Redmer 任旷洁 A.Rivetti V.Rodin M.Rolo 荣刚 Ch.Rosner Institute of High Energy Physics G. I. Budker Institute of Nuclear Physics SB RAS (BINP) the Novosibirsk State University Uppsala University Bochum Ruhr-University Johannes Gutenberg University of Mainz University of Turin INFN Liaoning Normal University State Key Laboratory of Particle Detection and Electronics University of Science and Technology of China University of Jinan Southeast University Joint Institute for Nuclear Research INFN Laboratori Nazionali di Frascati INFN Sezione di Ferrara Peking University State Key Laboratory of Nuclear Physics and Technology Peking University National Centre for Nuclear Research Institute of Physics and Technology University of Muenster Carnegie Mellon University Wuhan University University of Chinese Academy of Sciences Istinye University the Moscow Institute of Physics and Technology Nankai University Soochow University Nanjing University Tsinghua University Institute of Modern Physics Hunan University School of Physics and Electronics Hunan University Shandong University Yunnan University Helmholtz Institute Mainz Liaoning University Zhengzhou University University of Eastern Piedmont Sun Yat-Sen University University of Oxford University of Ferrara University of Manchester GSI Helmholtzcentre for Heavy Ion Research GmbH Guangxi University Nanjing Normal University Shandong Normal University Fudan University Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) and Institute of Modern Physics Fudan University Henan Normal University University of Hawaii Suranaree University of Technology Goethe University Frankfurt South China Normal University Guangdong Provincial Key Laboratory of Nuclear Science Institute of Quantum Matter South China Normal University University of South China University of the Punjab Indiana University Huangshan College University of Groningen Justus-Liebig-Universitaet Giessen Ⅱ.Physikalisches Institut Indian Institute of Technology Madras Qufu Normal University Shanxi Normal University Beijing Institute of Petrochemical Technolo

From December 2019 to June 2021,the BESⅢ experiment collected approximately 5.85 fb-1of data at center-of-mass energies between 4.61 and 4.95 *** is the highest collision energy BEPCⅡ has reached to *** accumulated e+e-annihilation data samples are useful for studying charmonium（-like） states and charmed-hadron *** adopting a novel method of analyzing the production of ■ pairs in e+e-annihilation,the center-of-mass energies are measured with a precision of ～0.6 *** luminosities are measured with a precision of better than 1% by analyzing the events of large-angle Bhabha *** measurements provide important inputs to analyses based on these data samples.

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UWB SAR image segmentation algorithm based on polynomial analysis of statistical distribution

UWB SAR image segmentation algorithm based on polynomial ana...

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Asian and Pacific Conference on Synthetic Aperture Radar (APSAR)

作者： Wang Yuming Jin Tian Luo Chaopeng College of Information Science and Engineering Hunan Provincial Key Laboratory of Intelligent Computhing and Language Information Processing Science and Technology on Near-Surface Detection Laboratory Hunan Normal University Changsha R.P.China College of Electronic Science and Technology Science and Technology on Near-Surface Detection Laboratory National University of Defense Technology Changsha R.P.China Science and Technology on Near-Surface Detection Laboratory Wuxi China

ISBN: (数字)9781728129129

ISBN: (纸本)9781728129136

Aimed at the segmentation problem of ultrawideband synthetic aperture radar (UWB SAR) image, a novel algorithm based on polynomial analysis of statistical distribution is proposed in this letter. Firstly, we estimate the probability density function (PDF) for each pixel via sparse decomposition of which the dictionary consists of orthogonal polynomials (OP). Secondly, the weighting coefficients of corresponding OP are used to segment image using their maximum value. The experimental results validate the efficiency of this algorithm.

关键词： Image segmentation Probability density function Synthetic aperture radar Radar polarimetry Signal processing algorithms Scattering Statistical distributions

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Generative Adversarial Networks for Exo-atmospheric Infrared Objects Discrimination

Generative Adversarial Networks for Exo-atmospheric Infrared...

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Signal, Information and Data Processing (ICSIDP), IEEE International Conference on

作者： Dongya Wu Huanzhang Lu Huamin Tao Bendong Zhao Ming Zhao National University of Defense Technology Changsha China Science and Technology on Near-Surface Detection Laboratory Wuxi China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

External atmospheric infrared (IR) target recognition is an important research topic of space surveillance systems. The different micromotion states of the target result in respective features in the obtained sequence of IR radiation intensities, and such differences are difficult to visually describe and difficult to extract efficiently. Due to the difficulty of spatial experiments, the target sample data is very limited. In the case of limited labeled samples, there are few methods that can effectively classify time series effectively, resulting in low classification accuracy and difficulty in meeting practical application requirements. We use generative adversarial networks(GAN) for semi-supervised learning, combining neural network classifiers with adversarial generation models for the classification of infrared grayscale time series of spatial targets. The effective classification of the target is achieved with a small number of labeled target samples. The experiment proves the effectiveness of the method and the classification effect is better than other methods.

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