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Influence of Ultrasonic Vibrations on the Static Friction Characteristics of a Rubber/Aluminum Couple

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Chinese Physics Letters 2011年第12期28卷 157-159页

作者： CHENG Ting-Hai GAO han bao Gang School of Mechatronics Engineering Harbin Institute of TechnologyHarbin 150080

A novel ultrasonic vibration approach is introduced into a chloroprene rubber/aluminum friction couple for improving the static friction properties between rubber and *** to the test results without vibrations,the static friction force of a chloroprene rubber/aluminum couple decreases observably,leading to the ultimate displacement of *** values of the static friction force and ultimate displacement can be ultimately reduced to 23.1%and 50%of those without ultrasonic vibrations,respectively.

关键词： friction rubber couple

Synthesis and Properties of Reversible Disulfide Bond-based Self-healing Polyurethane with Triple Shape Memory Properties

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Chinese Journal of Polymer Science 2019年第11期37卷 1119-1129页

作者： han Jia Kun chang Shu-Ying Gu Department of Polymeric Materials School of Materials Science and Engineering Tongji University Shanghai 201804 China Key Laboratory of Advanced Civil Engineering Materials Ministry of Education Tongji University Shanghai 201804 China

A reversible disulfide bond-based self-healing polyurethane with triple shape memory properties was prepared by chain extending of random copolymer poly(lactide-co-caprolactone)(PCLA), hexamethylene diisocyanate (HDI), polytetrahydrofuran (PTMEG), and 4,4,-aminophenyl disulfide. The chemical structures were characterized using 1H nuclear magnetic resonance (^1H-NMR) spectroscopy, Fourier transform infrared spectroscopy (FTIR), and gel permeation chromatography (GPC). The thermal properties, selfhealing properties, triple-shape memory effect, and quantitative shape memory response were evaluated by differential scanning calorimetry (DSC), tensile tests, two-step programming process thermal mechanical experiments, and subsequent progressive thermal recovery. The self-healing mechanism and procedures were investigated using polarizing optical microscopy (POM) and an optical profiler. It was concluded that self-healing properties (up to 60%) and triple-shape memory properties around 35 and 50℃(with shape fixation ratios of 94.3% and 98.3%, shape recovery ratios of 76.6% and 85.1%, respectively) were integrated to the shape memory polyurethane. As-prepared polyurethane is expected to have potential applications in multi-shape coatings, films, and step-by-step deploying structures.

关键词： Self-healing Reversible disulfide bond Triple shape memory Polyurethane

A review of carbon dioxide disposal technology in the converter steelmaking process

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International Journal of Minerals,Metallurgy and Materials 2020年第11期27卷 1421-1429页

作者： Rong Zhu bao-chen han Kai Dong Guang-sheng Wei School of Metallurgical and Ecological Engineering University of Science and Technology BeijingBeijing 100083China Beijing Key Laboratory of Research Center of Special Melting and Preparation of High-end Metal Materials University of Science and Technology BeijingBeijing 100083China

In last decade,the utilization of CO?resources in steelmaking has achieved certain metallurgical effects and the technology is *** this review,we summarized the basic reaction theory of CO2,the CO2 conversion,and the change of energy-consumption when CO2 was introduced in converter steelmaking *** the CO2-O2 mixed injection(COMI)process,the CO2 conversion ratio can be obtained as high as 80%or more with a control of the CO2 ratio in mixture gas and the flow rate of CO2,and the energy is saving and even the energy consumption can be reduced by 145.65 MJ/t under certain *** addition,a complete route of CO2 disposal technology is proposed combining the comparatively mature technologies of CO2 capture,CO2 compression,and liquid CO2 storage to improve the technology of CO2 *** results are expected to form a large-scale,highly efficient,and valuable method to dispose of CO2.

关键词： CO2 utilization carbon dioxide steelmaking enhanced stirring temperature control

A Fiber Optic Sensor for the Simultaneous Measurement of Dual-parameter Based on Hydrogel-immobilized Enzyme Complex

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Journal of Wuhan University of Technology(Materials Science) 2023年第6期38卷 1311-1318页

作者： TONG Yilin ZhanG Yu han Xuecai YU Kan bao Jiaqi Faculty of Information Science and Technology Wenhua CollegeWuhan 430074China Hubei Institute of Measurement and Testing Technology Wuhan 430223China

A novel fiber optic sensor based on hydrogel-immobilized enzyme complex was developed for the simultaneous measurement of dual-parameter,the leap from a single parameter detecting fiber optic sensor to a fiber optic sensor that can continuously detect two kinds of parameters was *** controlling the temperature from high to low,the function of fiber sulfide sensor and fiber DCP sensor can be realized,so as to realize the continuous detection of *** different variables affecting the sensor performance were evaluated and *** the optimal conditions,the response curves,linear detection ranges,detection limits and response times of the dual-parameter sensor for testing sulfide and DCP were obtained,*** sensor displays high selectivity,good repeatability and stability,which have good potentials in analyzing sulfide and DCP concentration of practical water samples.

关键词： hydrogel-immobilized enzyme complex dual-parameter simultaneous measurement fiber optic sensor

Desulfurization kinetics of ZnO sorbent loaded on semi-coke support for hot coal gas

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Journal of Natural Gas Chemistry 2012年第5期21卷 556-562页

作者： Zhiwei Ma Xianrong Zheng Liping chang Ruiyuan He Weiren bao Key Laboratory of Coal Science and Technology Taiyuan University of TechnologyMinistry of Education and Shanxi ProvinceTaiyuan 030024ShanxiChina

Zn-based sorbent （Z20SC） prepared through semi-coke support in 20 wt% zinc nitrate solution by high-pressure impregnation presents an excellent desulfurization capacity in hot coal gas,in which H2 S can not be nearly detected in the outlet gas before 20 h breakthrough *** effects of the main operational conditions and the particle size of Z20SC sorbent on its desulfurization performances sorbent were investigated in a fixed-bed reactor and the desulfurization kinetics of Z20SC sorbent removing H2 S from hot coal gas was calculated based on experimental *** showed that the conversion of Z20SC sorbent desulfurization reaction increased with the decrease of the particle size of the sorbent and the increases of gas volumetric flow rate,reaction temperature and H 2 S content in inlet gas.Z20SC sorbent obtained from hydrothermal synthesis by high-pressure impregnation possessed much larger surface area and pore volume than semi-coke support,and they were significantly reduced after the desulfurization *** equivalent grain model was reasonably used to analyze experimental data,in which k s=4.382×10-3 exp（-8.270×103/RgT） and Dep=1.262×10-4exp（1.522×104/RgT）.It suggests that the desulfurization reaction of the Z20SC sorbent is mainly controlled by the chemical reaction in the initial stage and later by the diffusion through the reacted sorbent layer.

关键词： desulfurization kinetics Zn-based sorbent hot coal gas medium-temperature desulfurization

An Implicit Algorithm of Solving Nonlinear Filtering Problems

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Communications in Computational Physics 2014年第7期16卷 382-402页

作者： Feng bao Yanzhao Cao Xiaoying han Department of Mathematics and Statistics Auburn UniversityAuburnAL 36849USA School of Mathematics and Computational Sciences Sun Yat-sen UniversityChina

Nonlinear filter problems arise in many applications such as communications and signal *** used numerical simulation methods include Kalman filter method,particle filter method,*** this paper a novel numerical algorithm is constructed based on samples of the current state obtained by solving the state equation *** experiments demonstrate that our algorithm is more accurate than the Kalman filter and more stable than the particle filter.

关键词： Kalman filter particle filter implicit filter Monte Carlomethod stochastic differential equations.

Joining of dissimilar metals between magnesium AZ31B and aluminum A6061-T6 using galvanized steel as a transition joining layer

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Journal of Iron and Steel Research International 2022年第4期29卷 677-686页

作者： Wei Li Jing-huan chang bao-feng Wen Rui Cao State Key Laboratory of Advanced Processing and Recycling of Non-Ferrous Metal Lanzhou University of TechnologyLanzhou 730050GansuChina Department of Materials Science and Engineering Lanzhou University of TechnologyLanzhou 730050GansuChina

A galvanized steel is used to join Mg AZ31B alloy and Al A6061-T6 alloy as a joining transition layer by cold metal transfer(CMT)***,to optimize the process variables,extensive welding tests were performed by a design of experiment ***,microstructures,joining mechanisms and tensile properties were characterized and *** indicated that Mg and Al alloys can be joined by using galvanized steel as a joining transition layer and cold metal transfer welding *** formed joint is called as a Mg–steel–Al CMT *** using galvanized steel transition joining layer,Mg–Al brittle intermetallics Al12Mg17 and Al3Mg2 were *** properties of Mg–steel–Al CMT joints have been improved after optimizing the welding *** strength of Mg–steel–Al CMT joint is comparable to those of Al–Al joint and Mg–Mg *** strength of Mg–steel–Al CMT joint can reach 100%that of Al–Al joint and Al–steel joint,and reach 90%that of Mg–Mg joint and Mg–steel *** optimized Mg–steel–Al CMT welded joint with galvanized steel transition layer is fractured at the heat affected zone of Al base metal rather than at the weld-brazed interface,due to softening of Al base metal.

关键词： Cold metal transfer Mg alloy Al alloy Galvanized steel Transition joining layer Dissimilar metal joining

Perspective: Predicting and optimizing thermal transport properties with machine learning methods

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Energy and AI 2022年第2期8卷 148-161页

作者： han Wei Hua bao Xiulin Ruan University of Michigan-Shanghai Jiao Tong University Joint Institute Shanghai Jiao Tong UniversityShanghai 200240China School of Mechanical Engineering and Birck Nanotechnology Center Purdue UniversityWest LafayetteIN 47907United States

In recent years, (big) data science has emerged as the “fourth paradigm” in physical science research. Data-driven techniques, e.g. machine learning, are advantageous in dealing with problems of high-dimensional features and complex mappings between quantities, which are otherwise of great difficulty or huge cost with other scientific paradigms. In the past five years or so, there has been a rapid growth of machine learning-assisted research on thermal transport. In this perspective, we review the recent progress in the intersection between machine learning and thermal transport, where machine learning methods generally serve as surrogate models for predicting the thermal transport properties, or as tools for designing structures for the desired thermal properties and exploring thermal transport mechanisms. We provide perspectives about the advantages of machine learning methods in comparison to the physics-based methods for studying thermal transport properties. We also discuss how to improve the accuracy of predictive analytics and efficiency of structural optimization, to provide guidance for better utilizing machine learning-based methods to advance thermal transport research. Finally, we identify several outstanding challenges in this active area as well as opportunities for future developments,including developing machine learning methods suitable for small datasets, discovering effective physics-based descriptors, generating dataset from experiments and validating machine learning results with experiments, and making breakthroughs via discovering new physics.

关键词： Thermal transport properties Machine learning Prediction Optimization

Microstructural evolution and mechanical properties of a new Ni-based heat-resistant alloy during aging at 750℃

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Journal of Iron and Steel Research International 2017年第5期24卷 513-519页

作者： Zhong-liang Tian Sen-bao Jiang Zheng-zong Chen han-sheng bao Zheng-dong Liu Institute for Special Steels Central Iron and Steel Research Institute College of Material Science & Engineering Taiyuan Science & Technology University

Microstructural evolution and mechanical properties of a new candidate Ni-based heat-resistant alloy for advanced ultra-supercritical （A-USC） steam turbine rotors were investigated during aging at 750℃ up to 10000 h. The evolutions of γ＇ particles inside austenitic grain and M_23 C_6 carbides along grain boundaries were characterized according to their morphologies, distributions, and growth kinetics. Mean radius of the γ＇ spherical particles grew from 20.3 to 90.0 nm after aging for 10000 h, and;the corresponding coarse- ning behavior was conformed to the law of Lifschitz-Slyosovd-Wagner （LSW）. The weight fraction of γ＇ particles slightly increased from 10.0 to 12.0 wt. % after aging of long duration at 750 ℃.The Cr-rich M_23C_6 carbides discontinuously precipitated along grain boundaries, while other detrimental phases were not formed during the aging treatment, and hence the strength of grain boundary was enhanced by these discontinuously distributed carbides. The critical size of γ＇ had a direct influence on the maximum hardness of this alloy. Moreover, this alloy presented a good impact toughness for the safety after long time aging at high temperature.

关键词： Aging Precipitation Microstruetural evolution Mechanical property Heat-resistant alloy