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Online since: July 2011
Authors: Shuang Ying Wu, Lan Xiao, Bao Xi Cao, You Rong Li
The Role of Bayonet Tube on Heat and Mass Transfer Characteristics of Capillary Porous Wick Evaporator Based on AMTEC Shuang-Ying Wu1,2,a, Bao-Xi Cao1,2,b , Lan Xiao1,2,c and You-Rong Li1,2,d 1College of Power Engineering, Chongqing University, Chongqing 400044, China 2Key Laboratory of Low-grade Energy Utilization Technologies and Systems (Chongqing University), Ministry of Education, Chongqing 400044, China ashuangyingwu@yahoo.com.cn, bcaobaoxi@gmail.com, cxiaolan20023267@126.com, dliyourong@cqu.edu.cn Key words: capillary porous wick; bayonet tube; alkali metal thermal-to-electric converter (AMTEC); heat and mass transfer; numerical simulation Abstract.
All the material properties, boundary conditions and geometric dimension were chosen as the same as that in the Ref.[6].
Fig.3 Comparison between present 2-D model and results in Ref.[6] Results and discussion Capillary porous wick evaporator using refractory ceramics as porous wick material and liquid sodium as working fluid was chosen as the object for investigation.
Online since: November 2011
Authors: Bao Hui Li, Bao Juan Tian
High Throughput Speciation Analysis of Mercury in Water Environment by Short Column Capillary Electrophoresis On-line Coupled with Inductively Coupled Plasma Mass Spectrometry Li Bao-Hui1, a and Tian Bao-Juan2, b 1College of Environmental Science & Engineering, North China Electric Power University 2Baoding City, 071003, China, Department of Chemistry, Baoding College, Baoding City, 071000, China abhlli@mail.nankai.edu.cn btbj2001@163.com Keywords: Speciation analysis; hybrid techniques; short column capillary electrophoresis; inductively coupled plasma mass spectrometry; mercury.
As the most toxic species of mercury found in environmental and biological materials, MeHg(I) is of particular concern to people because it can be accumulated through the food chain.
Whether the sample uptake flow rate caused by self-aspiration effect of mcromist matches the make-up solution flow rate is the key to success.
Online since: October 2006
Authors: Sung Yong Park, Byung Uk Jeon, Jang Moo Lee, Yong Hyeon Cho
., School of Mechanical and Aerospace Engineering, Seoul National University, Shillim-dong, San 56-1, Kwanak-gu, Seoul, Korea 2 Korea Railroad Research Institute, 374-1, Woulam-dong, Uiwang-city, Gyeonggi-do, 437-050, Korea a psy0202@lycos.co.kr, bamhektor@mailvib.snu.ac.kr, cleejm@snu.ac.kr, dyhcho@krri.re.kr Keywords: Contact wire, Wave propagation velocity, Dispersive wave, Gabor wavelet transform (GWT), Wavelet ridge, Gabor shaping factor, Cross-correlation, Shannon entropy cost function Abstract.
Current collection performance is one of the key factors of railway speed-up.
Material properties and real constants Flexural rigidity [Nm2] Tension [N] Line density [kg/m] 121.7792 11,772 0.987 200 400 600 800 1000 1200 1400 1600 1800 2000 0 100 200 300 400 500 600 700 800 Frequency (Hz) Wave propagation velocity (m/s) ccorr(ωωωω): obtained by cross-correlation cridge(ωωωω): obtained by ridge analysis ctheory(ωωωω): obtained by theory caboshi(ωωωω): obtained by Aboshi method 1 2 3 4 5 6 7 8 1870 1880 1890 1900 1910 1920 1930 1940 Gabor shaping factor (Gs) Shannon entropy H2(X2) before interpolation after interpolation Optimal Gabor shaping factor Gsy1 1 2 3 4 5 6 7 8 1830 1835 1840 1845 1850 Gabor shaping factor (Gs) Shannon entropy H2(X2) before interpolation after interpolation Optimal Gabor shaping factor Gsy2 2 3 4 5 6 1190 1200 1210 1220 1230 1240 1250 1260 Gabor shaping factor (Gs) Shannon entropy H2(X2) Optimal Gabor shaping factor Gsy1 Optimal Gabor shaping factor Gsy2 (a) (b) (c) (a) (b) (c)
Table. 1 Material properties and real constants of the railway contact wire. 0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2 -10 0 10 20 Time (s) Magnitude (a) Transverse response of the signal y1 0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2 -20 0 20 Time (s) Magnitude (b) Transverse response of the signal y2 Fig. 2 Transverse response of the contact wire by impact testing.
Online since: January 2013
Authors: An Chun Cheng, Ming Shu Wang, De Kang Zhu, Xin Zhang, Xiao Jia Wang, Yang He
Materials and methods Species and Sequences.
Corresponding authors at: Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, &Key Laboratory of Animal Disease and Human Health of Sichuan Province, Sichuan Agricultural University, Wenjiang, Chengdu city, Sichuan, 611130, P.R.China & Avian Disease Research Center, College of Veterinary Medicine of Sichuan Agricultural University, 46# Xinkang Road, Yucheng district, ya’an 625014, China.
Mingshu, Analysis of Synonymous Codon Usage in the Cas1 Gene of Riemerella anatipestifer, Accepted for presentation at 5th International Conference on BioMedical Engineering and Informatics (BMEI'12), (2012)
Online since: April 2014
Authors: Fu Xian Zhu, Chao Tian, Zong An Luo, Ji Yuan Liu
FEM Analysis of the Deformation Behavior at Thickness Direction in Laboratory Plate Hot Rolling Jiyuan Liua, Zongan Luob*, Fuxian Zhuc and Chao Tiand State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang, China aneu_liujy@163.com, bluoza@neu.edu.ral.cn, czhufuxian@163.com, dsdlgtys@163.com Keywords: FEM simulation, Thickness direction, Deformation behavior, Rolling pass reduction.
Because the rolling process finished before 950℃, the yield stress was set to 80MPa approximately, the other material parameter was shown in Table.1[9].
v Fig. 1 Multi-pass rolling simulation model Table.1 Material parameters Parameter Roller Plate Density (Kg/m3) 7850 7850 Young’s modulus (GPa) 210 117 Poisson’s ratio 0.3 0.3 Yield stress (MPa) - 80 Table.2 Rolling schedule of FEM simulation 1 2 3 4 5 6 7 8 t0 (mm) 60 54 48 42 36 33 30 27 t (mm) 54 48 42 36 33 30 27 24 ε (%) 10 11 13 14 8 9 10 11 Experiment The verified experiment performed on a plate with the same shape of the simulation model.
Park, Numerical Analysis of Roll Deflection for Sendzimir Mill, Journal of Manufacturing Science and Engineering, 130 (2008) 011016
Online since: July 2015
Authors: Gheorghe Leonte Mogan, Lucian Jalbă, Adrian Iulian Dumitru
At the same time, the automotive industry is undergoing a major strategic shift in mechanical engineering going greener and safer, and also introducing new services for vehicles such as eco-driving support and access to Internet [2].
The profile loading phase ends by returning a user ID (ID, primary key in the user table) which will be used later on in the data monitoring and alarm handling thread.
Mogan, Driver Warning Assistant for Monitoring Heart Rate and SpO2 Using Mobile Phones, Applied Mechanics and Materials Vol. 656 (2014), pp. 395-402
Online since: March 2012
Authors: Yong Bo Li, Yong Zhen Peng, Liang Chang Zhang, Shu Ying Wang, Yong Zhi Chen
Feasibility and Characteristics of Denitrification Using Excess Sludge as the Sole Carbon Source Liangchang Zhanga, Yongzhen Pengb, Yongbo Lic, Shuying Wang, Yongzhi Chen College of Environmental and Energy Engineering, Beijing University of Technology, Beijing 100124, China azhangliangchang@gmail.com, bpyz@bjut.edu.cn(corresponding author), cliyongbo890227@163.com Keywords: denitrification; waste activated sludge; caron source; nitrite; nitrate Abstract.
Materials and Methods Source of WAS.
Acknowledgement This research was financially supported by Supported by “National Key Technologies R&D Program of China during the Eleventh Five-year Plan Period” (2009BAC57B01) and “Funding Project for Academic Human Resources Development in Institutions of Higher Learning Under the Jurisdiction of Beijing Municipality”.
Online since: April 2008
Authors: Yong Lin Kang, Hao Yu, Shuang Kuang, Ren Dong Liu
Simulation of intercritical austenization of a C-Mn cold rolled dual phase steel Shuang KUANG1, a , Yonglin KANG 1, b , Hao YU1, c , Rendong LIU2, d 1 School of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, P.R.
Fig. 5 Vertical sectional view of 1.75% Mn Fig. 6 Horizontal sectional view at 760°C Table 3 shows some key points picked up from Fig. 6.
Online since: May 2010
Authors: Kai Sheng Yang, Lei Feng, Shuang Shuang Chen, Yong He, Peng Cheng Nie
Nondestructive identification of cherry-tomato varieties based on multi-spectral image technology YANG Kaisheng a, NIE Pengcheng, FENG Leib , HE Yong, CHEN Shuangshuang College of Biosystems Engineering and Food Science, Zhejiang University, 268 Kaixuan Road, Hangzhou 310029, China.
Materials and methods Instruments.
Threshold selection was a key step as using threshold processing technology.
Online since: June 2012
Authors: Qin Min Yang, Jian Gang Lu, Yan Wu
A Control System Design for Nanoparticle Manufacturing by Using Impinging-jet Micromixers Yan Wu1,a, Jiangang Lu1,b and Qinmin Yang1,c 1State Key Laboratory of Industrial Control Technology, Department of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China aywu@iipc.zju.edu.cn, bjglu@iipc.zju.edu.cn, cqmyang@iipc.zju.edu.cn Keywords: control system, impinging-jet micromixer, nanoparticle manufacturing, image processing.
When dealing with a mixing problem in liquid phase, no matter using what kind of materials, the mechanisms of mixing are mainly molecular diffusion and turbulence diffusion, the basic equations used to solve the mixing problem of impinging jets are the continuity equation, Navier-Stokers equation and the diffusion equation[5].
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