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RISS 인기검색어
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- 저자 : Yaxin Wu (검색결과 4 건)
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Numerical analysis of thermal dynamics and mixing performance in the blade-type static mixers
Yanfang Yu,Yaxin Chen,Huibo Meng,Yunjuan Yao,Dongzhou Liu,Jianhua Wu 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.7
The turbulent thermal dynamics and mixing performance of kenics static mixer (KSM), lightnin static mixer (LSM) and Q-type static mixer (QSM) were numerically simulated with uniform heat flux within the range of Reynolds numbers (Re) between 6000 and 30000. The numerical predictions of Nusselt number (Nu) and friction coefficient (f) in KSM were well consistent with the experimental data. The dean vortices, thermal resistance, entropy generation and field synergy were fully analyzed to obtain the enhancement mechanism of heat transfer performance. The synergy performance between temperature gradient and flow field firstly decreased and then increased and are superior to that of KSM with increasing Re. With the same Re, the entropy generation rates of LSM are 0.93-0.94 times that of QSM. LSM is a better alternative consideration for convection mixing and heat transfer enhancement. Two new relationships between Nu and f under different dimensionless uniform heat flux are obtained.
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Sun Bohua,Deng Weiwen,Wu Jian,Li Yaxin,Wang Jinsong 한국자동차공학회 2020 International journal of automotive technology Vol.21 No.6
Autonomous vehicles are aiming at improving driving safety and comfort. They need to perform socially accepted behaviors in complex urban scenarios including human-driven vehicles with uncertain intentions. What’s more, understanding human drivers’ driving styles that make the systems more human-like or personalized is the key to improve the system performance, in particular, the acceptance and adaption of autonomous vehicles to human passengers. In this study, a personalized intention-aware autonomous driving strategy is proposed. An online driving style identification is proposed based on double-level Multi-dimension Gaussian Hidden Markov Process (MGHMP) with arbitration mechanism and evaluated in field test. A Mixed Observable Markov Decision Process (MOMDP) is built to model the general personalized intention-aware framework. A human-like policy generation mechanism is used to generate the possible candidates to overcome the difficulty in solving MOMDP. The index of surrounding vehicles’ intention of the upper-level MGHMP is updated during each prediction time step. The weighting factors of the reward function are configured with the identification result of lower-level MGHMP. The personalized intention-aware autonomous driving strategy is evaluated on a Real-Time Intelligent Simulation Platform. Results show that the proposed strategy can achieve the online identification accuracy above 95 % and for personalized autonomous driving in scenarios mixed with human-driven vehicles with uncertain intentions.
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Changzheng Xin,ShanShan Gao,Yaxin Din,Yanju Wu,Fei Wang 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2019 NANO Vol.14 No.1
In this work, pulse potential method (PPM) was presented to fabricate directly three-dimensional graphene (3DG) network on the surface of glassy carbon electrode (GCE). The morphological characteristic of 3DG network were investigated by means of Raman spectra, scanning electron microscopy (SEM) and electrochemical experiments. The 3DG network as a new voltammetric material was used to develop a high-sensitive electrochemical sensor for determination of tadalafil. Electrochemical tests showed that the 3DG network can help to enhance response due to the large accessible surface area as well as its excellent conductivity. Under the optimum conditions, the electrochemical response showed a linear relationship with tadalafil concentrations in the range of 5.0 x 10 -8 – 2.5 x 10 -5 mol L -1, and a low detection limit of 1.0 x 10 -8 mol L -1 was achieved for tadalafil. Moreover, the fabricated electrochemical sensor exhibited excellent selectivity, stability, reproducibility and repeatability, which make it very suitable for analytical applications for the trace level determination of tadalafil.
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Dapeng Li,Peng Zhang,Jiangtao Duan,Yaxin Wu,Na Ding,Zhenyu Wan,Longqi Chen,Jingli Xu,Suxiang Ge,Juntao Ma 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.114 No.-
Utilization of fly ash (FA) wastes as the carriers of catalysts for the environmental application is an economicand practical strategy for their low cost, easy accessibility and thermal stability. However, mostcatalysts immobilized on fly ash were metal or metal oxides, some potential catalysts such as metalphthalocyanine complexes have not been reported upon their heterogeneous catalysis with FA as the carriers. In this paper, highly active iron octacarboxyphthalocyanine were immobilized onto the bird nestlikesurfaces of fly ash microspheres after NaOH activation. It is noted that the FeOCPc@FA compositeswith only 2 wt.% exhibited the high catalytic efficiency in the organic dye degradation. The high concentrationof 30 mg/L rhodamine B and methylene blue could be fast decolorized in the presence ofFeOCPc@FA–2 % and KHSO5. Moreover, the ultrafast decolorization of these dyes could be observed inthe catalytic system composed of FeOCPc@FA–2 %, KHSO5 and BuOOH (tert-butyl hydroperoxide). Simultaneous activation of KHSO5 and BuOOH could be realized in our designed catalytic system. Based on the structural characterizations of composites and active species generated during the catalyticprocesses, the probable generation pathway of metal–oxygen active species and various radicals wereanalyzed to explicate the catalytic mechanism. Our investigation provides a high efficiency, low costand environmentally friendly strategy for advanced oxidation treatment of organic pollutants.
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