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This method considered that the material expands when heated, and if the sleeve and the bearing bush temperature increases by 1 ºC, the corresponding stress would be transferred to the connecting rod shank. 22500 N preload was brought to bear on each bolt.
Journal of Materials of Processing Technology 151(2004), 192
Journal of Tongji University (Natural Science Edition), 2009, 37(1):101-105

[2] Shoucheng Ding, Wenhui Li, Shizhou Yang, Jianhai Li, Guici Yuan: The Motor Virtual Experimental System Based on Matlab Web Technology, Journal of Networks, No.6, 12, 2010
[3] Shoucheng Ding, Wenhui Li, Guici Yuan: The Non-destructive Measurement Instrument for Material Thickness, Key Engineering Materials, Vols. 480-481, pp 415-420, 2011
[6] Gaoxing Zhao, Chao Fang, Qihong Chen: Design and implement of track and field competition automatic terminal timing system based on the wireless transmission, Journal of Changchun Institute of Technology(Natural Sciences Edition), vol. 10, no. 1, pp. 78-80, 2009

Functional scheme of stand PŁS-01 for durability research of porous journal bearings: 1 - main plate, 2 - frequency converter, 3 - electric motor, 4 - base slab, 5 - research module. 8 Table 2.
Parameters of stand investigations Material of the bearings Iron powder 97.5% Copper powder 2.5% Material of the shaft Steel NC6 Bush size ∅25-0.1/35.2 -0.16 ×20 -0.3 mm Hardness of the shaft 60 HRC Diametrical clearance 50…70 µm Mean density of bush 6.05 g/cm3 Mean mass content of oil [%] 3.26 Mean porosity of bush 21,5% During the determining of maximum load of bearings with defined rotational speed, load was increased gradually.
Kałdoński: Permeability of porous sliding bearings (Proceedings of Second International Tribology Conference, SITC 2002, Zielona Góra, August 25-28, International Journal of Applied Mechanics, Special issue: "SITC 2002", Vol. 7, 2002), p. 255-262 [5] K.
Lawrowski: The base of material selection for non-service sliding bearings (Tribology, No 5-6, 1997), p. 734-743 (in Polish) [8] A.
Tribology: Science and Applications, Vienna 2004, Vol. 4, 2004), p.325-347 [10] T.

Table 1 Chemical composition and mechanical properties of substrate Substrates Chemical composition [mass%] Mechanical properties Si Fe Cu Mg Tensile strength [MPa] Elongation [%] Hardness [HRB] 6061 (Al-0.7%Si alloy) Al-2%Si alloy Al-4%Si alloy 0.67 2.16 3.90 0.19 0.20 0.20 0.24 0.26 0.26 1.00 0.63 0.60 301 318 330 20.3 18.0 16.1 62 64 65 Table 3 Test conditions of friction test (Ball-on-disk type) Material of ball Sliding length Sliding speed Load JIS SUJ2 (ASTM 52100) (Ball diameter: 6 mm) 1.0, 8.0 km 0.1 m/s 1, 5, 10 N Table 2 Test conditions of scratch resistance and adhesion Begin loading Loading rate Speed 0.9 N 50 N/min 10 mm/min Scanning electron microscope (SEM) observation on the cross section of coating layers was carried out.
As mentioned above, the frictional coefficient of the Al-4%Si alloy is the smallest; the AL-4%Si alloy is an effective substrate material.
Eto: Journal of Japan Institute of Light Metals, Vol.51, No. 4(2001), p. 238(in Japanese) [2] T.
Kawana: Journal of the Japan Society for Abrasive Technology, Vol.46, No. 5(2002), p.214(in Japanese) [5] T.
Fujiwara: Material Science Forum, Vols.519–521 (2006), p.765 [6] T.

Automatic Monitoring System for Forest Fire Based on Wireless Sensor Network Bihua Zhu1, a , Daqing Zhu2,b 1College of Life Sciences, Jiangxi Science &Technology Normal University, China. 2Jiangxi Academy of Environmental Sciences,China.
Secondly, relative humidity of the air can directly affect the fuel moisture evaporation, which can indirectly change the physical properties of combustible material.
Forest fire detection system based on ZigBee wireless sensor network [J], Journal of Beijing Forestry University, v 29, n 4, July, 2007, p 41-45 [3] JIN C,LUO F.
Forest fire detection system based on ZigBee wireless sensor network[J], China Forestry Science and Technology, v 20, n 6, July,p:77-79 [4] Lloret, J., Garcia, M., Bri, D., Sendra, S.: A Wireless Sensor Network Deployment for Rural and Forest Fire Detection and Verification, Sensors 2009, 9, 8722-8747 [5] Datasheet of SHT1x, http://www. sensirion.com [6] Datasheet of CC2530, http://www.chipcon.com

Experimental Material and Methods Farmland Soil and Creek Sediments Sampling.
Acknowledgement The project was funded by the National Natural Science Foundation of China (grant No.11275092, No.10975070).
References [1] XU Lechang,WANG Yanxin,LV Junwen, et al..Radioactive contamination of the environment as a result of uranium production :a case study at the abandoned Lincang uranium mine,Yunnan Province,China[J].SCIENCE IN CHINA(Series B),2002,43:11-19 [2] Lu Shuyu, environment impact assessment[M], Beijing,Higher Education Press,2002:56(in Chinese) [3] Dube A,Zbytniewski R,Kowalkowski T,et al.Absorption and Migration of Heavy Metals in Soil[J].Pol.
Effects of Soil Colloids on the Transport of Napropamide Through Saturated Sandy Soils[J], Journal of Agro-Environment Science, 2009,28(8):1701-1704(in Chinese) [8] Li Haiming,Zhang Nan,Tong Qi,et al..
Mobilization Mechanism and the Effect on Contaminants’ Movement of Colloids in Groundwater[J], Geological Science and Technology Information,2001,20(3):69-74(in Chinese)

Simulation of the flow-induced crystallization of polypropylene based on molecular kinetic model Yan Rong1, a, Lei Shi2, b, Huiping He1, c,*, Lan zhang1, d 1 School of Mechanics and Engineering science, Zhengzhou University, 450001, Zhengzhou, China 2 College of Information and Management Science, HeNan Agricultural University, 450002, Zhengzhou, China arongyan@zzu.edu.cn, bsleicn@126.com, chehuiping@zzu.edu.cn, dielzhang@zzu.edu.cn * Corresponding author Keywords: crystallization kinetics, molecular kinetic, rheology, theory and modeling.
They consider the crystallizing system as a suspension of semi-crystalline entities growing and spreading in a matrix of amorphous material and link the crystalline kinetics with free energy variation.
Acknowledgements This work was financially supported by Project funded by China Postdoctoral Science Foundation and Technology Research Key Projects of the Education Department of Henan Province (Grant No. 13A430628, 13A520498) and supported by the key scientific and technological project of Henan Province (Grant No.142102210054).
Bevis: Journal of Applied Polymer Science, Vol. 73,(1999) , p. 2473-2483

The Research of Speech Recognition in Low SNR Based on GA-SVM Yong-qi WANG and Hui ZHANG Shanghai University of Engineering Science Shanghai, China Wangyongqi17008@163.com, zhanghui@sues.edu.cn Keywords: Support vector machine, Speech recognition, Genetic algorithm, In low SNR.
In recent years, the intelligent optimization algorithms combine with SVM algorithm to select the appropriate model parameters using optimization algorithms to improve the performance of SVM, attracted widespread attention of researchers. [4] This paper analyzes the noise immunity of SVM model, and uses the genetic algorithm to optimize the penalty factor and kernel function parameters of the training classifier, and make speech recognition experiments by support vector machines with the preferred parameters. to use the manuscript for the book or journal in question.
Should authors use tables or figures from other Publications, they must ask the corresponding publishers to grant them the right to publish this material in their paper.
Acknowledgment “This work was supported in part by the National Natural Science Foundation of China (No. 61272097, 61305014), Innovation Program of Shanghai Municipal Education Commission (No.12ZZ182, 14ZZ156), the Natural Science Foundation of Shanghai, China (No. 13ZR1455200), Key Support Project of Shanghai Science and Technology Committee(13510501400).”

With the development of science and technology and even the market demand, the improvement of the performance of diesel engine’s noise, vibration and harshness (NVH) has become a symbol of the inner product quality[1,2].
The finite element models require detailed geometric and material data of the engine components, as well loading data defined by engine combustion forces.
Acknowledgements This work was financially supported by Tianjin science and technology plan project: Characteristics identification and structure optimization of the internal combustion engine noise sources based on the low noise targets and the National Natural Science Foundation of China project: The research and control of diesel engine piston percussion noise and optimization design of piston system based on the coupled thermal-mechanical (50975192).
ASME Journal of Vibration and Acoustics, 1995,117(1):70～79
Proceedings of the 15th International Conference on Dynamic of Machines of the Academy of Science of the GDR.

., Nanjing 210007, China 2Institute of Sciences, PLA Univ. of Sci. & Tech., Nanjing 211101, China 3PLA Univ. of Sci. & Tech., Nanjing 210007, China ajiangmeirong125@163.com, bjfengnian66@163.com,cwbo5503@163.com Keywords: tunnel of big span; mass concrete; thick arch lining; thermal stress.
Acknowledgements This work was financially supported by Science Fund for Creative Research Groups of the National Natural Science Foundation of China (No. 51021001).
Research on The Reason and Control Method of Cracking in Mass Concrete, Journal of Xi’an Science and Technology College(2003,1)
New Concrete Technology and Construction Technology, Building Material Industry Publication, China(2002)