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RISS 인기검색어
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- 저자 : Yimin Huang (검색결과 5 건)
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Dynamic analysis of three-dimensional helical geared rotor system with geometric eccentricity
Yimin Zhang,Qibin Wang,Hui Ma,Jing Huang,Chunyu Zhao 대한기계학회 2013 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.27 No.11
A dynamic model of a multi-shaft helical geared rotor system is presented. Rotating shafts of the system are modeled as Timoshenko beams. A general three-dimensional dynamic model of helical gear pairs with geometric eccentricity is developed for the gear mesh and bearing flexibility is included in the model as well. The transmission error and gear geometric eccentricity are simulated as excitations. Eigenvalue solution and the modal summation technique are used to predict the natural frequencies and forced responses of the system. Then two geared rotor system models are presented for validation of the gear dynamic model. It is demonstrated that the gear mesh model is effective for general geared rotor systems, spur and helical gears, one-stage and multi-stage systems. Finally, forced responses of an example system are analyzed to demonstrate the influences of the helical gear geometric eccentricity and the coupling between gear geometric eccentricity and rotor mass unbalance.
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Complexity based Sensing Strategy for Spectrum Sensing in Cognitive Radio Networks
( Kewen Huang ),( Yimin Liu ),( Yuanquan Hong ),( Junsheng Mu ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.9
Spectrum sensing has attracted much attention due to its significant contribution to idle spectrum detection in Cognitive Radio Networks. However, specialized discussion is on complexity-based sensing strategy for spectrum sensing seldom considered. Motivated by this, this paper is devoted to complexity-based sensing strategy for spectrum sensing. Firstly, three efficiency functions are defined to estimate sensing efficiency of a spectrum scheme. Then a novel sensing strategy is proposed given sensing performance and computational complexity. After that, the proposed sensing strategy is extended to energy detector, Cyclostationary feature detector, covariance matrix detector and cooperative spectrum detector. The proposed sensing strategy provides a novel insight into sensing performance estimation for its consideration of both sensing capacity and sensing complexity. Simulations analyze three efficiency functions and optimal sensing strategy of energy detector, Cyclostationary feature detector and covariance matrix detector.
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Highly selective separation of vanadium over iron from stone coal by oxalic acid leaching
Pengcheng Hu,Yimin Zhang,Tao Liu,Jing Huang,Yizhong Yuan,Qiushi Zheng 한국공업화학회 2017 Journal of Industrial and Engineering Chemistry Vol.45 No.-
In this paper, a novel method was proposed to selectively extract vanadium from stone coal by oxalicacid leaching. Vanadium was leached, but the iron impurity wasmaintained in the leaching residue. Theeffects of leaching conditions on the leaching efficiency of vanadium and iron were investigated foroxalic and sulfuric acid leaching, respectively. For oxalic acid leaching, 71.5% of the vanadium can berecovered with only 3.4% of the iron impurity leached under the leaching conditions: a dosage of H+ of12 mol/kg, a leaching time of 6 h, a leaching temperature of 368 K (95 8C) and a water–mineral ratio of1.5 L/kg. However, under the same conditions, 74.1% of the vanadium and 13% of the iron were leachedduring sulfuric acid leaching. The XRD and FTIR analyses showed that both oxalic and sulfuric acidleaching can destroy the crystal lattice structure of muscovite, resulting in the leaching efficiency ofvanadium without much difference. Further, the SEM-EDS and XPS analyses indicated that very littlepyrite dissolved during oxalic acid leaching, but that much more pyrite dissolved during sulfuric acidleaching. Therefore, oxalic acid leaching can achieve a highly selective separation of vanadium over ironfrom stone coal.
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Jia Sun,Yimin Huang,Jun Han,Xingping Zhang 한국기상학회 2021 Asia-Pacific Journal of Atmospheric Sciences Vol.57 No.3
The Western Pacific Subtropical High (WPSH) is a principal component of the East Asian summer monsoon system. This study was to compare the relationship between theWPSH and summer precipitation in Dongting Lake basin (24°35′-30°27′N, 107°13′- 114°18′E) based on different datasets by employing the multivariate regression analysis. The observed precipitation data was from China Meteorological Data (CMD) sharing service system and the six gridded precipitation datasets were CFSR, ERA– Interim, CMAP, GPCP, CRU, and PREC/L, respectively. The WPSH exerted different influences on the precipitation of summer months. The indexes including westward extension ridge point index and northern boundary index in June, ridge line index and northern boundary index in July and August had important effect on the precipitation over Dongting Lake Basin. The gridded data could generally reproduce the relationship between the ridge line index and precipitation in July. The relationship between the northern boundary and the precipitation from gridded data was similar to that from observed data in June and July, while the relationship between the western extension ridge index and the precipitation in June could be reproduced by the gridded data except CFSR and ERA-Interim. Only in part area, the relationship between the intensity index and the CMD precipitation could be reproduced by gridded precipitation. The fitness of correlation in some area from the CMDcould be reproduced by the gridded data. General speaking, GPCP precipitation data was more applicable to the Dongting Lake Basin in studying on the relationship between the precipitation and a single index of WPSH.
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