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The project covered graphical facility design, detailed design of operations and material flow simulation.
Simulation software WITNESS has been used for material flow simulation.
Budinská, Creation of Intelligent Distributed Control System Based on Multi–Agent Technology, Journal of Electrical Engineering. 60-1 (2009)
Sinčák, Multi–Robot Control System for Pursuit–Evasion Problem, Journal of Electrical Engineering. 60-3 (2009)
School of Computer Science, Carnegie Mellon University, 2007.

Both N-type and P-type Bismuth Telluride thermoelectric materials are used in a thermoelectric cooler.
Selection of Thermo Electric Material: Thermoelectric materials can be conveniently divided into three groupings based on the temperature range of operation.
In all of the above mentioned TE materials, performance of the Bismuth-Telluride peaks within a temperature range that is best suited for most cooling and heating applications.
Performance of Thermoelectric Materials [w.r.t Figure of Merit (Z)] at various temperatures Fig 7.
Ramesh Kumar , Ankit Sonthalia, Rahul Goel, Experimental study on Waste Heat Recovery from an Internal Combustion Engine using Thermoelectric Technology, International Journal of Thermal Science Vol. 15, No. 4, (2011) 1011-1022

The Effect of Complexing agent on the Surface of Aluminum Alloy Plating Ni- P Alloy Qinghua Chang 1, 2, a, Zhenzhen Chang 1, b, Yuting Bai 1, c, Xiaoyu Chen 1, dand Die Peng 1, e 1 School of Materials Science and Engineering, Henan University of Science & Technology, Luoyang, Henan, 471003, China; 2Henan key laboratory of non-ferrous metal materials science and processing, aqinghuachang@126.com, bzhenzhenchang@126.com, cbaiyuting0220@163.com, dxiaoyuchen1@126.com ediepeng1@163.com Keywords: Complexing Agent; Aluminum Alloy; Electroless Plating; Ni-P Alloy Abstract.
It is an excellent overall performance of non-ferrous material.
Experimental Experimental materials. 6 Series 6063 aluminum alloy is commonly used in experiment and its ingredients are as shown in the table 1.
Acknowledgments This work was supported by SRTP of Henan University of Science & Technology (No. 2010012).
[4] Ying Li: Electroplating & Pollution Control Vol. 24 (2004), p. 6 [5] Hongfei Guo: Plating & Environmental protection Vol. 24 (2004), p. 1 [6] Hongxiang Zhang: Plating Technology (Science and technology press in Tianjin, Tianjin 2002) [7] Zuxiao Yu: Corrosion & Protection Vol. 30 (2009), p. 273 [8] Lihong Zhang: Journal of Luoyang Institute of Science and Technology (Natural Science Edition) vol. 19 (2009) p, 21 [9] Hucai Bi: Materials Science & Technology Vol. 15 (2007), p. 589 [10] Jiayou Xu: Surface Technology Vol. 36 (2007), p. 65

Introduction In a production process the various internal factors (such as people, machines, materials, method and the environment）, often lead to the product feature values fluctuation , thus make its consistency size become poor.
Journal of tsinghua university(science and technology), 2006,46(12):2049-2052(in Chinese)
Standard Science，2010, NO.1:33-39(in Chinese)
Journal of Zhejiang University(Engineering Science), 2005,39 (5):663-667(in Chinese)
Xian: Shanxi science and technology press，1981(in Chinese)

Fig.1 The outputs of the scenarios Acknowledgements The authors gratefully acknowledge the funding from the National Natural Science Foundation of China (Grant No. 71102131), Humanity and Social Science Youth foundation Department of the Ministry of Education, China(Grant No. 10YJC790189), the Natural Science Foundation of Heilongjiang Province, China(Grant No.
Bott, On-board hydrogen storage and production: An application of ammonia electrolysis, Journal of Power Sources. 192 (2009) 573-581
Hwang, Upcoming tipping points in automobile industry based on agent-based modeling, Procedia Computer Science. 8 (2012) 93-99
Jiang, Marginal Analysis of the HFCVs Industrialization: Commercialization Scale and the CO2 Emission Reduction, Applied Mechanics and Materials. 174-177 (2012) 3619-3623
Samuelsen, Demonstration of a novel assessment methodology for hydrogen infrastructure deployment, International Journal of Hydrogen Energy. 34 (2009) 628-641.

Acknowledgment The financial support of the Double-five science and technology planned projects of Tianjin colleges and universities (SW20080006), Tianjin science and technology planned projects(09ZCKGX02100), Binhai new district special science and technology correspondent projects(SB20080094)are gratefully acknowledged.
References [1] YU Jinxia, CAI Zixing and DUAN Zhuohua, “Design of dead reckoning system for mobile robot”, Journal of Central South University of Technology (English Edition), vol. 3(5),pp. 542-547, 2006 [2] ZHANG Xian, SU ZhiYuan, “Overview of the Localization Technology of Autonomous Mobile Robots”, Development & Innovation of Machinery & Electrical Products, vol. 23(2), pp. 3-5, 2010 [3] Dhanesh Ramachandram, Mandava Rajeswari, “Neural network-based robot visual positioning for intelligent assembly”, Journal of Intelligent Manufacturing, vol. 2(15), pp.219-231, 2004 [4] WEI Boyu, LI Kejie and GAO Junyao, “Mobile Robot Vision System and Camera Calibration”, Microcomputer Information, vol. 25(8), pp.171-172, 2009 [5] ZHANG Pengwei, ZHANG Zhiquan and HU Lei, “Calibration Error Simulating Analysis of Binocular Vision Based on Pinhole Camera Model”, Electronics Optics & Control, vol. 16(12), pp.65-68, 2009 [6] ZHANG Ruijie, LI Lei and CHEN Zhongwei, “Calculation of Phase Equilibria
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“The Research of Color Image Segmentation Algorithm Based on HIS Color Space”, Journal of China West Normal University, vol. 33(3), pp: 304-307, 2012

Thermal efficiency of oven heating processes could be increased by employing low-emissivity rather than high-emissivity and enclosure materials that reflect thermal radiation emitted by exposed heating element onto the load.
Modest, in: Radiative Heat Transfer, second ed., Elsevier Science, USA (2003)
Zun: Journal of Mechanical Engineering Vol. 58 (2) (2012), pp. 134-144
Hyppänen: World Academy of Science, Engineering and Technology Vol. 48 (2008), pp. 403-408
[13] Shuaibu Ndache Mohammed: Leornado Journal of Sciences (2006), pp. 149-158

Table 4: The Coefficient of Friction for Different Sensations Sensation Thickness of the Gloves Coefficient of Friction between the Grip and Aluminum Surface Bare Hands - 0.56 [19] Latex Gloves 0.5mm 1.1 [19] Cotton Gloves 1.8mm 0.373 - 0.453 [20] By relating the friction coefficient of the materials to the results analyzed, pinch effort appears to be affected by the friction coefficient of the glove contact with the surface of knobs.
Mohamad, A Review of Different Pinch Techniques, Theoretical Issues in Ergonomics Science, (2013), doi: 10.1080/1463922X.2013.796539
Borg, Psychophysical Bases of Perceived Exertion, Medicine and Science in Sports and Exercise, 14 (1982) 377-381
Foster, The Effects of Gloves on Grip Strength and Three-Point Pinch in Adults, Journal of Hand Therapy, 14 (2000) 286-290
Martins, FRICTORQ, Accesing Fabric Friction with a Novel Fabric Surface Tester, AUTEX Research Journal, 5 (2005) 194-201.

Journal of Cleaner Production 24 (2012) 76~84 [3] LIU Yu xin.
Measurement and Expression of Pore Structure of Particle Material.
China Powder Science and Technology. 2000.8.Vol 6 No 4:1-27 [4] Shen Jin’an.
Journal of Traffic and Transportation Engineering.Vol11(1).2011.2;1~6 [7] SUN Ji-shu, XIAO Tian, YANG Chun-feng, JIN Can-zhang.On Properties of Warm Mix Recycled Asphalt Mixture in Highway JOURNAL OF CHONGQING JIAOTONG UNIVERSITY(NATURAL SCIENCE). 2011.4.
Chinese Journal of China & Foreign Highway.2007.27 (6): 164-168.

Science in China: Series G, Physics, Mechanics and Astronomy, 49(2), 2006,129~148
Journal of Tongji University, 2000,28(4):497~501
Journal of Tongji University, 2000,31(1):1~5
Journal of Harbin Institute of Technology, 2005,37:750~752
China Civil Engineering Journal, 2005, 38(12): 18-23.