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Online since: May 2011
Authors: Zhi Hu Ai, Ding Ping Liu, Jian Chen Hu
The corrosion behavior of materials is of concern mainly due to the thickness of the oxide films that are formed.
The maintenance and materials selection should be paid more attention as well.
Journal of Materials Engineering and Performance, Volume 15(3) 2006, 255-274 [3] Xingde Huang; Xinya Zhou; Zhe You; Hong Zhao: Journal of Power Engineering, Vol. 29, issue 6(2009), p602-608.
[9] J.Jianmin, M.Montgomery*, O.H.Larsen, S.A.Jensen: Materials and Corrosion, Vol. 56, issue7 (2005), p459-467
[10] S.Baleix, G.Bernhart, P.Lours*: Materials Science and Engineering, A327 (2002), p155-166.
Online since: June 2011
Authors: Qing Hui Jiang, Fu Tian Liu, Xue Jiao Sun
Fe3O4 MNPs have broader applications, for instance, it is commonly used as recording material[1], pigment[2], magnetofluid material[3], catalyst[4], magnetic macromolecule microballoon[5] as well as electronic material[6], etc..
As a rule, the size distribution of external materials which used as targeted carriers in the biological application should not be bigger than 100nm.
Med. 21 (2010): p. 1205-1210 [9] Jing Xu, Haibin Yang, Wuyou Fu, Kai Du, Yongming Sui, Jiuju Chen, Yi Zeng, Minghui Li and Guangtian Zou: Journal of Magnetism and Magnetic Material 309 (2007), p. 307-311 [10] J.
Shackelford: Introduction to Materials in the Engineering, chapter, 10, Design Mucmillan Publishing Company (2003) [16] R.
Vaishnava: Journal of Magnetism and Magnetic Materials 320 (2008), p. 2755-2759
Online since: April 2021
Authors: Sergey V. Brusnitsyn, Irina A. Gruzdeva, Ivan A. Sokolov
If it is necessary to combine conflicting properties in one material, one should use the principle of the necessary property while ensuring a sufficient level of other properties Of course, for each group of materials a specific content is invested in this principle, depending on their functional purpose.
In this regard, more durable conductive materials are putted into practice, not copper.
Berent, Materials and properties of electrical contacts in railway devices, Intext, Moscow, 2005 [2] I.S.
Sulitsin, Investigation of Cast Copper Structure, Journal of Harbin Institute of Technology (New Series), 2014, Vol. 21, №5, pp. 107-111 [12] M.V.
Shveikin, Physical metal science, Textbook for high schools, UGTU-UPI, Ekaterinburg, 2001 [15] A.V.
Online since: May 2011
Authors: Qin Chen, Hui Wu
Many experiments show that the stress-strain relationship of carbon fiber sheet is approximate to that of an ideal elastic material, thus the CFRP used in the FEM model is viewed as a kind of ideal elastic material.
Jiang: Tsinghua Science and Technology, 2004, 9(2), p. 130~137
Ye: China Civil Engineering Journal, 2003, 36(2), p. 46~51
Shahawy: Journal Composites for Construction.2001,(1), p. 26~34 [11] M.
Neale: Journal of Composites for Construction, ASCE, 2004, 8(4), p. 323~331
Online since: May 2013
Authors: Sang Hyun Jeong, Kyung Jin Ryu, Dong Joo Song, Makhsuda Juraeva
A Computational Analysis of Flow Field in Twin-track Subway Tunnel to Improve Air Quality MakhsudaJuraevaa, Kyung Jin Ryua, Sang-Hyun Jeongb, and Dong JooSonga,* aSchool of Mechanical Engineering, Yeungnam University, Geyongsan-si, 712-749, South Korea, bKorea Institute of Machinery and Materials, Daejeon, South Korea *Corresponding author,E-mail: djsong@yu.ac.kr Keywords: Indoor Air Quality, Mechanical Air-Supply, Twin-Track Subway Tunnel, Train-Induced Flow Abstract.A computational model of existing Seoul subway tunnelwas analyzed in this research.
References [1] Jeon, J.S., Seo, J.W., Jeon, M.J., Eom, S.W., and Chae Y.Z., 2012, “Indoor Radon levels in the subway cabins of the Seoul metropolitan area”, Journal of Korean Society for Atmospheric Environment, Vol.28. pp. 374-383 (in korean) [2] Modic, J., 2003, “Fire simulation in road tunnels”, Tunnelling and Underground Space Technology”, vol. 18, pp 525-530 [3] Ogawa, T., and Fujii, K., 1997, “Numerical investigation of three-dimensional compressible flows induced by a train moving into a tunnel, Computers & Fluids, vol. 26, pp 565-585 [4] Chen, T.Y., Lee, Y.T., and Hsu, C.C., 1998, “Investigations of piston-effect and jet fan-effect in model vehicle tunnels”, Journal of Wind Engineering and Industrial Aerodynamics, vol.73, pp 99-110 [5] Li, J., Peng, H., and Li S.J., 2006, “Numerical simulation of flow characteristics in bidirectional subway tunnel”, Journal of Thermal Science and Technology, vol. 5, pp 331-334 [6] Waymel, F., Monnoyer, F., and William-Louis, M.J.P., 2006,
” Asian Journal of Atmospheric Environment, vol.2-1, pp. 60-67 [9] ANSYS CFX, 2009, ANSYS Workbench, ICEM-CFD, CFX-Pre, CFX-Solver, CFX-Post User’s Manual
[10]Kim, J.Y. and Kim K.Y., 2007, “Experimental and numerical analyses of train-induced unsteady tunnel flow in subway”, Tunnelling and Underground Space Technology”, vol.22, pp 166-172 [11] Menter, F.R, 1994, “Two-equation eddy-viscosity turbulence models for engineering applications” AIAA-Journal., vol.32, pp 269-289 [12] Wilcox, D.C., 1993, “Comparison of Two Equation Turbulence Models for Boundary Layers with Pressure Gradient,” AIAA Journal, vol. 31, N.9, pp.1414-1421
Online since: May 2007
Authors: Ying Jie Li, Sha Li, Yue Xu
The Effects of Rare Earth Elements on Corrosion Resistance of Sol-gel Coatings for 2024 Aluminum Alloy Yue Xu a, Yingjie Li� Sha Li School of Materials Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China a xuyue@buaa.edu.cn Keywords: Sol-gel coating; Rare-earth elements; Aluminum alloy; Corrosion resistance Abstract: Rare-earth modified coatings on 2024 aluminum alloy were prepared by sol-gel methods, aiming at improving the corrosion resistance with the environmental friendly features.
Reference [1] Wessel, James K� Handbook of Advanced Materials : Enabling New Designs�Hoboken, N.J John Wiley & Sons, Inc.
(US), 2004�P423 [2] Wahab, M A; Park, J H; Alam, M S,�Journal of materials processing technology. 174, no. 1, (2006): 211 [3] Ilevbare, G O ; Scully, J R ; Yuan, J ; Kelly, R G CORROSION SCIENCE - Inhibition of Pitting Corrosion on Aluminum Alloy 2024-T3: Effect of Soluble Chromate Additions vs.
Online since: November 2011
Authors: Qing Dong Zhong, Qiong Yu Zhou, Yi Wang
Electrochemical studies on the passivation behavior of Cu-Ni-Fe alloy in borate buffer solution at pH 8.4 Qiongyu Zhou1, a, Yi Wang1,b and Qingdong Zhong1,c* 1Key Laboratory of Modern Metallurgy and Material Processing, Shanghai University, Shanghai 200072,China azhouqiongyu1986@sina.com, bkasuo.9@163.com , cqdzhong@shu.edu.cn Keywords: passivation Mott-Schottky analysis carriers diffusivity Abstract.
:Journal of materials research Vol.10(1995), p. 2892 [2] Zeng.Y.M, Luo.J.L : Electrochim Acta Vol.48(2003),p.35 [3] E.P.
Chem Vol.71 (1999) ,p. 951 [6] D.D.Macdonald, S Biaggio, H.Song : J Electrochem.Soc Vol.139 (1992) , p.3434 [7] Walter.G.W : Corrosion Science Vol.26 (1986), p. 681 [8] Tan.C.G, Jiang.W.J, Zhang.Z.C, Wu.X.Q, Lin.J.G : Mater.
Chemistry-Physics Vol.108 (2008),p. 29 [9] Arab.S.T, Emran.K.M : Material Letters.
Lohrengel : Materials Science and Engineering Vol.11 (1993), p.243 [12] E.Sikora, D.D.Macdonald : Electrochim.Acta Vol. 48(2002), p. 69 [13] M.J.Carmezim, A.M.Simoes, M.F.Montemor, M.D.C.Belo : Corros.Sci Vol.47 (2005), p.581 [14] D.D.Macdonald, M.Urquidi.Machonaid : J Electrochem.
Online since: March 2004
Authors: Kyeong Ho Baik, Jun Ho Jang, S.Y. Hwang
Hwang2 1 Department of Metallurgical Engineering, Chungnam National University, 220 Gung-dong, Yuseong-Gu, Daejeon, 305-764, Korea 2 Research Institute of Industrial Science and Technology, 30 Hyoja-dong, Pohang, 790-330, Korea Keywords: Thermal spraying, WC-Co, Nanocomposite, Coating, Decarburization Abstract.
Recently, bulk nanostructured WC-Co materials where WC particles of <100 nm embedded in Co matrix exhibit enhanced mechanical properties including hardness and wear resistance [1], compared to conventional micron-sized materials.
Journal Title and Volume Number (to be inserted by the publisher) 30 40 50 60 70 80 90 Angel (2 theta) -10 WC W2C W Co3W3C or Co6W6C (a) (b) (c) 30 40 50 60 70 80 90 Angel (2 theta) -10 WC W2C W Co3W3C or Co6W6C 30 40 50 60 70 80 90 Angel (2 theta) -10 WC W2C W Co3W3C or Co6W6C WC W2C W Co3W3C or Co6W6C (a) (b) (c) Figure 3.
Acknowledgements This research was performed with the financial support of the Center for Nanostructured Materials Technology under the 21st Century Frontier R&D Program of the Ministry of Science and Technology, Korea References [1] K.
Online since: August 2011
Authors: Wegdan Ramadan, Marwa Kareem, Béatrice Hannoyer, Shanta Saha
( 3) Center for Nano Physics and Advanced Materials, University of Maryland, College Park, Maryland 20742-4111.
Introduction Magnetic nanoparticles, MNP, are currently representing key material for advancements in electronic, medical, catalysis [1-3].
They also represent promising material for water purification [4].
Science 301 (2003) 943
[4] Shih-Hung Huang, Dong-Hwang Chen, Journal of Hazardous Materials 163 (2009) 174–179
Online since: October 2014
Authors: Mihaela Elisabeta Ciortea
ANALYTICAL INTERPRETATION TO OPTIMIZE TRANSPORT SYSTEMS Ciortea Elisabeta Mihaela University “1 Decembrie 1918” of Alba Iulia-Romania, Department of Science and Engineering, Blvd.
The system is composed of these nodes examined: P1 – storage, P2, P18 – conveyor, P3, P19 – for conveyor free, P4, P20 – equipment 1/2, P5,P21 – free indicator equipment 1/2, P16 – robot, P17 – free robot indicator, P6, P22 – analysis system, P7,P23 – inspection equipment 1 /2 capable of analyzing, P8,P24 – decision , P9, P25 – equipment 1 /2 awaiting decision, P10, P26 – control of raw materials, P11, P27 – control in order to ensure the maintenance operations, P12, P28- maintain equipment in optimum maintenance, P13, P29 – inspection of equipment 1 /2, P14, P30 – maintain equipment in optimum machine control retail 1/2, P15, P31 – maintenance of equipment availability 1 and 2, P32 – system return conveyors.
The system is composed of these nodes examined: P1 – storage, P2, P18 – conveyor, P3, P19 – for conveyor free, P4, P20 – equipment 1/2, P5,P21 – free indicator equipment 1/2, P16 – robot, P17 – free robot indicator, P6, P22 – analysis system, P7,P23 – inspection equipment 1 /2 capable of analyzing, P8,P24 – decision , P9, P25 – equipment 1 /2 awaiting decision, P10, P26 – control of raw materials, P11, P27 – control in order to ensure the maintenance operations, P12, P28- maintain equipment in optimum maintenance, P13, P29 – inspection of equipment 1 /2, P14, P30 – maintain equipment in optimum machine control retail 1/2, P15, P31 – maintenance of equipment availability 1 and 2, P32 – system return conveyors.
Hsiang, Using Generalized Stochastic Petri Nets for Preventive Maintenance Optimization in Automated Manufacturing Systems Journal of Quality Vol. 18, No. 2 (2011) 117, pp 117-135 [2] I.
Camerzan, Proprietăţi structurale ale reţelelor Petri temporizate, Thesis in Computer Science, State University of Tiraspol, Chişinău, 2007-12-15 [3] O.