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Online since: November 2015
Authors: Xiao Hong Zhou, Meng Zhang
Numerical Simulation Flow and Temperature Fields of Fiber Air Dispersion System Meng Zhang1,a and Xiaohong Zhou1,b * 1Key Laboratory of Advanced Textile Materials & Manufacturing Technology, Ministry of Education, Zhejiang Sci-Tech University, Hangzhou 310018, PR China azhangmengzstu@163.com, bzhouxh314@163.com Keywords: Fiber air dispersion system; numerical simulation; flow field; temperature field Abstract: Fiber air dispersion system (FADS) is an advanced flexible ventilation terminal in ventilated areas.
Liu, Comparative study of traditional air supply system and fabric air dispersion system, Huazhong University of science and technology. (2009) 1-7
[8] Jackson G W, James D F, The permeability of fibrous porous media, The Canadian Journal of Chemical Engineering. 64 (1986) 3
Su,The Simulationon the Temperature Field and Humidity Field of Subway in Wuhan, Huazhong University of Science and Technology.(2012) 23-31.
Online since: September 2013
Authors: Xu Dong Zhou, Lin Hui Wang, Chuan Yi Sui
All material parameters are shown in Table 1.
Table 1 Material Parameters in Model Item Bulk density (kN/m3) Modulus (GPa) Poisson's ratio Internal friction angle (°) Cohesive force (MPa) Class 4 Rock 21.0 4.5 0.33 34 0.4 Foreploing Area 22.2 4.6 0.33 38 0.6 Initial Linings 25.0 23.1 0.21 -- -- Primary Linings 25.0 34.9 0.23 -- -- Existing Tunnel Linings 25.0 34.9 0.23 -- -- Temporary Supports 25.2 24.5 0.22 -- -- To compare the settlement of new tunnel vault, the deformation of the existing tunnel and the stress on the lining in tunneling process in class 4 rock, representative engineering methods-the benching tunneling method, the Center Diaphragm (hereinafter abbreviated as CD)method and the Cross Diaphragm (hereinafter abbreviated as CRD) method- are introduced.
Acknowledgements This research is funded by the National Natural Science Foundation Project No.41102220 and No. 51178398 and Central University Funds for basic research No.SWJTUCX014.
Journal of the China Railway Scoiety(2003),p 92-95(in Chinese) [2] WANG Meng-shu: General Theory of Application ofShallow Mining Method in Underground Construction(Anhui Education Press, China 2005)(in Chinese) [3] WU Bo, GAO Bo: Study of Land Subsidence Induced by Urban Subway Tunneling on Complicated Conditions.
China Railway Science (2006),p 129-131(in Chinese) [4] GU Wen-tian, GU Wen-yu and TAN Ying-hua: Applying Temporal Invert in Controlling Land Subsidence in Shallow Mining Method.
Online since: December 2012
Authors: Zai Sheng Cai, Chun Yang, Feng Yan Ge, Jin Cai Li, Fang Fang Qin
Silver Nanoparticles with Enhanced Fluorescence Effects on Fluorescein Derivative Chun Yang1,a, Fengyan Ge1,b, Jincai Li1,c, Zaisheng Cai1,d, Fangfang Qin1,e 1Key Laboratory of Science & Technology of Eco-Textiles, Ministry of Education, College of Chemistry, Chemical Engineering and Biotechnology, Donghua University, China ayangchun@mail.dhu.edu.cn, bfyge@dhu.edu.cn, clijincaidhu2010@mail.dhu.edu.cn, dzshcai@dhu.edu.cn,eqinfangfangdhu@163.com Keywords: Silver Nanoparticles, Absorption Spectra, Metal-enhanced Fluorescence, Fluorescein Derivative Abstract.
Experimental Section Materials and Instrumentation.
Acknowledgments This work is financially supported by the Fundamental Research Funds for the Central Universities (12D10517) and the Key Laboratory of Science & Technology of Eco-Textile (Donghua University/ Jiangnan University), Ministry of Education (12D10540).
Mu: Journal of Optoelectronics.
Online since: January 2015
Authors: Guo Dong Li, Ke Jun Bi, Jian Jun Fang, Tai Guo Jiang
Experiment on Recovery of Multi-metal from Zinc Volatile Kiln Slag in Xining Guodong Li1,2, a, Jianjun Fang1,2, b*,Taiguo Jiang1,2,c and Kejun Bi1,2,d 1Faculty of Land and Resource Engineering, Kunming University of Science and Technology, Kunming, 650093, China 2 State Key Laboratory of Complex Nonferrous Metal Resources Clean utilization , Kunming, 650093, China a18487171192@163.com, bruiyuanju@163.com, ctaiguoj@126.com, d1335531233 @qq.com *Corresponding author: Jianjun Fang, Kunming University of Science and Technology, Kunming, 650093, China Keywords: Kiln slag, Exploratory , Iron concentrate Abstract: For the comprehensive recovery of copper, zinc, silver and iron from the zinc volatile kiln slag in Xining, exploratory experiments were conducted by adopting single flotation, magnetic separation and combined process of magnetic separation and flotation.
Slag became half melting state, occurring mutual sticking among the materials when the mixture of leaching residue and coke powder went through the high-temperature region of volatilization kiln.
Journal of henan polytechnic university,2009,28(6):788-791
Online since: October 2014
Authors: Ji Ping Yu, An Yun Yang, Jian Xiang Li, Li Guo
Figure 1: Chemical structures of BPE (left) α-CD (middle) and β-CD (right) Materials and Method Chemicals.
Gruiz, Science of The Total Environment 485–486, (2014), 711
Armstrong, Journal of Chromatography A 759, (1997), 149
Deng, Science of The Total Environment 345, (2005), 229.
Online since: April 2012
Authors: Dang Li Wang, Sheng Ke Ning, Bao Ji Ma
The measured of the sensor could only be metallic material, so it is sensitive to the metal matrix of metal bonded grinding wheel and not to the oxide layer .The output voltage of the sensor could change when the initial value(X0) of the sensor and the distance(X) between the inner surface and the probe of the sensor change, so we can get the thickness of the oxide layer.
Experimental material: Oxide layer, which is generate on the surface of grinding wheel in the electrolysis process, whose main composition are Fe2O3 and FeO, and some Fe(OH)3 and Fe(OH)2.
*The work is supported by Industrial Research Project of Shanxi Science and Technology Department under Grant No.2009K07-08; by mid-term project of Shanxi Education Department under Grant No. 09JC15; *The work is supported by Industrial Research Project of Shanxi Science and Technology Department under Grant No.2009K07-08; by mid-term project of Shanxi Education Department under Grant No. 09JC15; References [1] K.
International Journal of Machine Tools and Manufacture, 2006, 46(10):1053-63.
Online since: February 2012
Authors: Zhong Hu Yuan, Xiao Xuan Qi, Yang Su
The bearings data are from Case Western Reserve University materials.
Supported by Science and Technology Foundation of Liaoning, No. 2011219011 Reference [1] LI Li.
Mechanical signal processing and application [M].Wu Han: Huazhong University of science and technology press, 2007 [2] LIU Weibing, LI Zhinong, JIANG Jing.
Vibration engineering journal, 2007 [9] ZHAO Yuanxi, XU Yonggang, GAO Lixin.
Online since: October 2010
Authors: Bing Chen, Lian Wan Zhang, Zhong Jun Yin, Zhi Chao Tang
Modal Analysis and Testing of Large-span Space Steel Structure Zhichao Tang 1, a, Zhongjun Yin 2, b, Bing Chen3, c, Lianwan Zhang 4, d 11School of Mechanical Engineering, University of Science & Technology Beijing, Beijing 100083, China a6184259@163.com, byinzhongjun@ustb.edu.cn, cbingchen9803@me.ustb.edu.cn, dlianwan15@126.com Keywords: Experimental modal analysis; Finite element method; Steel structure; Rotary hearth furnace lower ring Abstract.
Modal Analysis of Rotary Hearth Furnace Lower Ring The material of the Rotary hearth furnace lower ring is Q235A.
The methods start with mechanical, structural geometry and material properties as the original parameters.
References [1] Herman V D A and Jan L: Sound and Vibration Vol.11 (2005), p.18 [2] Peter A, Raj S, Bart P etc: Sound and Vibration Vol.1 (2006), p.14 [3] Yanjun Song: Test Technology and Testing Machine Vol.2 (2006), p.25~27 (In Chinese) [4] Haihan Xu, Houhuan Sun, Chenbo Yin: Hoisting and Conveying Machinery Vol.7 (2007), p.53~55 (In Chinese) [5] Bingtao Li, Xiaoli Xie, Ermao Zhang: Shanxi Architecture Vol.34 (2007), p.94~96 (In Chinese) [6] Zhuo Wang, Weiming Yan, Haoxiang He: Sichuan Building Science Vol.35 (2009), p.23~26 (In Chinese) [7] Dan Wang, Qiang Li: Journal of Northern Jiaotong University Vol.25 (2001), p.94~96 (In Chinese) [8] Huaiming Ning, Dong Yuan: Oil Field Equipment Vol.36 (2007), p.43~46 (In Chinese)
Online since: December 2010
Authors: Chao Yin Nie, Xiao Kui Liu, Xiao Fang Jia, Ling Li Zhao, Peng Fei Gao
Study on Polarization of the Cold-rolled Steel Strip in the Process of Electrolytic Cleaning Pengfei Gao1, a, Xiaokui Liu1, b, Chaoyin Nie1, c, Xiaofang Jia1, d, Lingli Zhao2, e 1School of Materials Science and Engineering, Southwest University, Chongqing 400715, PRC 2School of Chemistry and Chemical Engineering, Southwest University, Chongqing 400715, PRC agaopengfeilnu@126.com, bxiaokui@swu.edu.cn, cniecy@swu.edu.cn, djiaoxiaof@swu.edu.cn, eclarissa@swu.edu.cn Keywords: electrolytic cleaning, cold-rolled steel strip, polarization, overpotential Abstract.
Acknowledgement It is a project supported by the Fundamental Research Funds for the Central Universities (XBJK2009B002) References [1] Tianliang Zheng, Qing Yang: Chinese Journal of Aeronautics, vol.16(2003),p.123-128
[7] Yanxi Chen: Electrolytic Engineering (Tianjin Science & technology Press, Tianjin 1993), in Chinese
Online since: October 2011
Authors: Wen Xue Qian, Xiao Wei Yin, Li Yang Xie
The working conditions are: Rotational speed: 1500r/m Power: 5KW Transmission ratio: 0.5 Expected life: 40000h Material: 45# Load character: relative stable Press angle: 20° bottom clearance 1 dedendum 0.25 Table 1 Parameters of reducer gear Number of Teeth 20 Module 3 Pressure Angle 20° Shaft Diameter 70 Key Width 18 Key Height 8 Face Width 50 Fig.3 3D model of reducer gear Reliability Assessment of Gear.
From above data the material strength of gear are δ(μδ, σδ), and the stress are s(μs, σs), then the reliability of the gear is: where: μδ,= 360, mean of the strength of gear σδ = 18, standard deviation of the strength of gear μs = 280, mean of the stress of gear σs= 20, standard deviation of the stress of gear then the reliability of the gear is: R = P(δ>s) where: R is gear reliability δ is stochastic variable of strength s is stochastic variable of stress Because both strength variable and stress variable are normal distribution variables, R can be obtain through bellow formulas.
Acknowledgments This work was partially supported by the National Natural Science Foundation of China (Grant No. 51005044, 50805070), the Doctor Start-up Fund of Liaoning Provincial (Grant No. 20101073) and the Fundamental Research Funds for the Central Universities (Grant No.
The Second International Conference on Information and Computing Science, Volume 1, 21-22 May, 2009: 42 – 45
Xitong Fangzhen Xuebao / Journal of System Simulation, v 19, n 2, Feb-ruary, 2007, p 254-256+266 (In Chinese) [12] Slattery Kerry T, Riveros Guillermo A.