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T.A.Everit et al. deduced the computation of the damping coefficient which can be used to the rod formed with different materials, and obtained the real damping coefficient by means of iterative of the water power and pump power[2].
Acknowledgements The authors would like to acknowledge the support provided by National Natural Science Foundation of China (Grant No.50905151).
Chinese Journal of Mechanical Engineering, Vol.43, (2007), No.12, p.212-215 [6] L.

Olson, A fracture mechanics methodology assessment for fretting fatigue, International Journal of Fatigue (2003); 25; 1069-1077
Shepard, Life prediction of fretting fatigue with advanced surface treatments, Materials Science and Engineering A (2007); 468-470; 15-22

Introduction Rapid Prototyping (Rapid Prototyping, RP), is to obtain a two-dimensional cross-section contour layer information by slicing process, which uses specific methods and materials to generate the same thin section shape, then accumulate each layers, until the last part of the solid model is generated, suitable for single and small batch production.
[2] Yinbo Zhao, Dinghua Zhang and Guangcai Xiong ect .Mechanical Science and Technology.
[3] Dezhou Hu, ZHanli Li and Dichen Li ect.Journal of Xi'an Jiaotong University.

Experiment research of the lateral properties and density variation of loess subgrade to dynamic compaction for mountainous highway Yuexiang Wang 1,2,a , Ying Liao 1.b 1School of civil engineering, Suzhou University of Science and Technology, Suzhou, China 2School of Transportation, Southeast University,Nanjing, China awyxcml@mail.usts.edu.cnl, bLiaoy@mail.usts.edu.cn Keywords: loess, dynamic compaction, density,width Abstract.
Materials and Methods The loess used in the model test had been taken from Hun Yuan city of Sanxi province in China.
Chinese Journal of Geotechnical Engiceering,, No 4, Vol 23, pp.1-10 May 1989 (In Chinese)

Acknowledgements This work was financially supported by the National Natural Science Foundation (71031007 and 91024015).
Lanoye et al, a practical device to determine the reflection coefficient of acoustic materials in-situ based on a Microflown and microphone sensor, ISMA(2004) [2] Jeffrey.
International Journal of Digital Content Technology and its Applications (JDCTA).

Materials and methods Electronic nose (E-nose) Experiments were performed with a commercial E-nose (PEN3).PEN3 included an array of 10 different MOS sensors.
Acknowledgements This work was financially supported by the Chinese National Foundation of Nature and Science through Project 60971105.
Sensors, 2009, 9(8):6058-6083 [3] Brezmes J., Fructuoso M.L.L., Llobet E., Vilanova X., Recasens I., Orts J., Saiz G., Correig X., Evaluation of an electronic nose to assess fruit ripeness, IEEE Sensors Journal, 5(2005) 97–108

The definition of home in the construction industry generally refers to home decoration, furniture, appliances, and many other materials related to indoor living, which is an indispensable part of formal home decoration design.
Journal of Jilin Teachers Institute of Engineering and Technology. 2009(03) [2] Lin Xudong.
Science and Technology Innovation Herald. 2008(07) [3] Huang Hui.

Nano-silver Conductive Ink Inkjet Printing RFID Tag Antenna GAO Zhiqianga, ZHAO Xiuping b College of Packaging and Printing Engineering, Tianjin University of Science and Technology, Tianjin, China a gaofantuan@qq.com, b jhwzxp@126.com Keywords: RFID; Nano-silver; Conductive ink; Inkjet.
Schubert: Advanced Materials Vol 16 (2004), P, 203-213
[4] Xin He, Yunxia Chen, Mei Zhang, Kunbin Wu: Ceramic Journal No. 02 (2009)

Natural Science Journal of Hainan University.2013,31(1):37-40
Advanced Materials Research Vols.186(2011):671-675.

Experimental Method Using N80 oil casing steel as experiment material, five specimens with the specification of 60mm×20mm×2mm were polished with 800# sandpaper and defatted with acetone after flushed by deionized water respectively.The specimens were put in the high temperature and high pressure dynamic reaction kettle, and the water produced in Daqing oilfield was used as medium.
References [1] Lili Sun, Yi Su, Rui Jia: Prediction of CO2 Corrosion in N80 Steel Based on BP Artificial Neural Networks Methods, Ordnance Material Science and Engineering, Vol.35(2012), p.14-16
[2] Haiyang Zhao, Minqiang Xu, Jindong Wang: An Improved Binary Tree SVM and Application for Fault Diagnosis, Journal of Vibration Engineering, Vol.26(2013), p.764-770