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Online since: March 2008
Authors: Ming Chen, Kai Xue, Xiang Ming Xu, Gang Liu
T1 and T2 have the same base material and coating except geometry of cutting edge (Table 3).
Yang: Journal of Iron and Steel Research.
Metal Cutting Theory and Practice-A New Perspective (Huazhong University of Science and Technology Press, China 2003)
Luo: Journal of Huazhong University of Science and Technology Vol. 24 (1996) No.12, pp.17
Metal Cutting Principles (Huazhong University of Science and Technology Press, China 2002)
Online since: February 2022
Authors: Stanislav A. Dumanskiy
Introduction Shape Memory Alloys (SMAs) are smart materials.
Friswell, A review on shape memory alloys with applications to mor- phing aircraft, Smart Materials and Structures 23 (6) (2014) 063001. doi:10.1088/0964-1726/23/6/063001
Melton, Shape Memory Materials, Cambridge University Press, Cam- bridge, 1999, Ch. 10, pp. 220–239
Morgan, Medical shape memory alloy applications—the market and its products, Materials Science and Engineering 378 (1-2) (2004) 16–23. doi:10.1016/j.msea.2003.10.326
Gaganova, Mekhanika kompozitsionnykh materialov i konstruktsii (Mechanics of composite materials and structures) 25 (4)
Online since: November 2012
Authors: Feng Lan Li, Xin Xin Ding, Li Hui Jin
Experimental The raw materials included the cement in 42.5 strength grade with the chemical compositions as shown in Table 1, the river sand with 2.71 fineness modulus and the crushed limestone with maximum grain size of 20 mm as well as the tap water.
Qin: Journal of Xuzhou Institute of Technology (Natural Sciences Edition), 3 (2010) 21-28
Ma: Journal of Bulletin of the Chinese Ceramic Society, 30 (2011) 764-769
Yuan: Journal of the Chinese Ceramic Society, 35 (2007) 504-508
Zhou: Journal of East China Jiaotong University, 5 (2006), p. 4-8.
Online since: September 2013
Authors: Feng Yun Lin
Most of polishing process are being manually conducted by operators, depending on their skill and experience, However, manual polishing is expensive, time consuming, labour intensive, and error prone[1,2].Therefore, Manual and old conventional machine polishing methods are gradually becoming obsolete, the need for better part quality and flexible, more efficient, and cost effective manufacturing and finishing methods, integrated with computer science, has encouraged new mechanized polishing approaches and the automation of polishing process[3,4].
References [1] Y.Takeuchi, N.Askawa, D.E.Ge, Automation of polishing work by an industrial robot (system of polishing robot), JSME International Journal, Series C: Dynamics, Control, Robotics, Design and Menufacturing, 36(4), pp.556-561, 1993
Finish machining International Journal of Advanced Manufacturing Technology, 15(9)pp.630-639, 1999
Journal of Materials Processing Technology, 95(1-3), pp.191-200,October15,1999 [5] T.Furukawa and D.C.Rye, Automated polishing of an unknown three-dimensional surface, Robotics and Computer-Integrated Manufacturing, 12(3), pp.261-270,September,1996
-R.Hwang, Five-axis tool orientation smoothing using quaternion interpolation algorithm, International Journal of Machine Tools and Manufacture, 43(12), pp. 1259-1267,September 2003.
Online since: December 2013
Authors: Jun Wei Zeng, Fa Jie Wei, Fang Wu
More and more researches reveal that, to manage the inherent risks associated with dynamic environments and uncertainties (e.g. requirement changes or short of key materials), enough resources should be assigned to projects ([4-6]).
Acknowledgements The authors acknowledge the support of the National Science and Technology Support Program Projects(Research on Support technology of Numerical Family Server and Operation, NO.2011BAH16B02).
Maguire, Learning and teaching challenges in project management, International Journal of Project Management, Vol. 29(2011), p. 268–278 [7] A.
Yeo, Risks, Classification of Estimates, and Contingency Management, Journal of Management in Engineering, Vol. 6(1990), p. 458–470 [10] D.
Khamooshi, A practical method of determining project risk contingency budgets, Journal of the Operational Research Society, Vol. 60(2009), p. 565–571 [11] J.
Online since: July 2011
Authors: Wen Hao Hsing, Yuan Jyun Huang, Ming Zheng Lin, Yi Kui Wang
The adhesion of fabric to fabric The adhesion of fabric to rubber RFL dipping treatment Rise to 34% Rise to 49% Add 10% Denabond additives Rise to 24.5% Rise to 33.5% Change Pre-heating Conditions by Far-Infrared Rise to 35.6% Rise to 30.4% Experiment In materials, the PET/Nylon fabric (T 1000D/4 x N66 840D/4) where is used for conveyor belt and RFL solution and Methylenediphenylisocyanate(MDI) were supplied by San Wu Textile Co.
Acknowledgements The authors would like to thank the National Science Council for the financial support in this project References [1] M.D.
Juan: The Study on Adhesive Effect of PET/Nylon Conveyer Belt Fabric Strengthen with Pre-heating and Cooling Device, Journal of the Hwa Gang Textile, Vol.8, No.3 (2001), p270-276
Run: The Study on Adhesive Effect of PET/Nylon Conveyer Belt Fabric Strengthen by Static Process, Journal of the Hwa Gang Textile, Vol.10, No.2 (2003), p125-133
Run, The Study on the Binding Effect of PET/Nylon Conveyer Fabrics Threated by Microwave Irradiation, Journal of the Hwa Gang Textile, Vol.11, No.4 (2004), p331-337
Online since: July 2015
Authors: Dragos Nedelcu, Daniela Florescu, Iulian Florescu
Nedelcu, Studies on the variation of flow parameters through a ball valve, Applied Mechanics and Materials Vols. 321-324, pp. 1799-1804, (2013)
[2] Information on http://en.wikipedia.org/wiki/Butterfly_valve [3] Azad Arun, Baranwal Deepak, Arya Rajeev and Diwakar Nilesh, Flow Analysis of Butterfly Valve using CFD, International Journal of Modern Engineering Research, vol. 4, issue 6, June, pp. 50-56, (2014)
Dutton, An investigation of Compressible Flow Characteristics of Butterfly valve, Journal of Fluids Engineering, (1985)
Dutton, Aerodynamic Torque Characteristics of Butterfly valve in compressible flow, Journal of Fluids Engineering, Vol. 111, issue 4, pp.392-399, (1989)
Park, Analysis and optimization of a butterfly valve disc, Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 223: 81, (2009).
Online since: January 2012
Authors: Qian Jian Guo, Jian Guo Yang
Fig.4 The experiment system for thermal error prediction Fig.5 Test results of thermal error prediction Acknowledgments The authors gratefully acknowledge the financial support provided by the Project of Shandong Province Higher Educational Science and Technology Program (J11LD24).
Du: Journal of Materials Processing Technology Vol. 129 (2002), p. 474 [3] Y.
Chang: International Journal of Machine Tools and Manufacture Vol. 47 (2007), p.376 [4] J.H.
Yang: International Journal of Machine Tools and Manufacture Vol. 42 (2002), p.147 [5] H.
Ni: International Journal of Machine Tools and Manufacture Vol. 45 (2005), p. 455 [6] X.D.
Online since: August 2013
Authors: You Chang Hu, Jun Min Shen, Hua Nan Cai, Guang Dou Gu
Description of the Tests Materials Used in the Tests.
Chinese Journal of Rock Mechanics and Engineering, 2007,26(11):2370-2376
Journal of Xi'an Highway University, 1998, 18(4B): 249-252
Journal of Railway Science and Engineering, 2010, 7(5): 25-29
Engineering Journal of Wuhan University, 2012, 45(5): 602-607.
Online since: April 2012
Authors: Jian Qiao Du, Zhi Qiang Luo
Experimental Experimental raw materials and reagents include TiO2 (Titanium Dioxide Factory of Pangang Group, PRC), distilled water, dispersant (isopropanolamine), 10% NaOH solution.
Cannon et.al: The journal of physical chemistry.
Yu et.al: Journal of Physics.
Sato et.al: The Journal of Physical Chemistry.
Boinocich: Current Opinion in colloid and Interface Science, Vol.15 (2010), p.297-302