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In the basic equation for the working process simulation, the following assumptions are made: (1) one-dimensional quasi-steady flow; (2) pressure drop is neglected; (3) The surface and internal temperature of the regenerator matrix filling material (such as stainless steel wire) are equal; (4) The gas kinetic energy is ignored; (5) The wall temperatures of the heater, cooler, expansion chamber and compression chamber keep constant except that of the regenerator; (6) The gas heat conduction along the axial is ignored; (7) Working fluid is a perfect gas with a constant specific heat ratio; (8) The working condition is stable and the speed is uniform.
Acknowledgements: This work was financially supported by the Shaanxi science and technology project foundation (S2011GY1239).
ASME Journal of Solar Energy Engineering, 1999,121(2):121-127

The Research on the Optimization of Transportation Routing for Fresh Food by Improved Genetic Algorithm Ying Wu 12,a, Zibo Meng 3, Min Peng 2 1Hunan Communication Polytechnic, Changsha, P.R.China 2Changsha University of Science and Technology, Changsha, P.R.China 3Changsha Environmental Protection College, Changsha, P.R.China awuying1996@hotmail.com Keywords: Fresh food, Improved Genetic Algorithm, Customer satisfaction, Time window Abstract.
(3) The consumption of materials and labor cost is the target of the Optimization of Transportation Routing for Fresh Food.
According to the example, the science and applicability of the model was verified.
“Evaluation of damage potential for pavements due to overweight truck traffic” Journal of Transportation Engineering, v 133, n 5,2007, pp. 308-317
Modeling of Transport Risk for Hazardous Materials.

Functional deterioration of buildings is caused by factors such as poor construction, lack of quality control supervision, inaccurate selection of building materials, and disorganized construction methods.
Unlike the 2D CAD technology that has been widely used, the BIM technique can display visual 3D geometric information of target objects (e.g., building locations, orientations, shapes, and interior dimensions) and other relevant information (e.g., structural engineering methods, mechanical electrical plumbing (MEP) directions, and the characteristics, weight, and price of building materials).
In addition, the Building SMART Alliance (bSa), an affiliate of the National Institute of Building Science, is dedicated to promoting and researching BIM.
Acknowledgments This paper represents part of the results obtained under the support of the National Science Council, Taiwan, ROC (Contract No.
Brown: International Journal of Construction Education and Research Vol. 5 (2009), p. 276-292

China Science and Technology Information, 2007.3:269-271
Journal of Donghua University(Natural Science), 35(2009):90-93
[17] You Yu Liu et al., Research on Hobbing Process Principles and Linkage Models for Higher-Order Elliptic Gear, Advanced Materials Research, 479-481(2012): 2343-2346 [18] You Yu Liu et al., Graphic Simulation of Hobbing Process for Higher-Order Elliptic Gear, Advanced Materials Research, 482-484(2012):482-486

Reconfigurable machines are classified into reconfigurable machine tools, reconfigurable fixture systems, reconfigurable assembly systems, reconfigurable inspection or calibration system, and reconfigurable material-handling systems [3].
In practice, FMSs consist of processing stations and material handling systems that are entirely under computer control (CNC, DNC).
Acknowledgements The research is supported by the Projects of Guangdong Province Science and Technology Office of China (No. 2007B080401008 and No. 2006B80403001) and the Demonstration Base Project for Co-operation of Industry-University-Research Institute of Guangdong Province Education Office of China (No. cgzhzd0717).
Koren: Journal of Intelligent Manufacturing Vol. 11 (2000), P4037 [3] Z.
Zheng: Key Engineering Materials Vols. 392-394 (2009), p.262

Introduction Metal/oxide interfaces are of major importance in a wide range of applications, such as structural or functional materials in materials science, microelectronics, chemical and biomedical applications.
Fert et al.: Science Vol. 286 (1999), p. 507
Politano et al.: submitted to the Journal of Physics and Chemistry of Solids (2009)

Modeling of CNC Machine Tool Energy Consumption and Optimization Study Based on Neural Network and Genetic Algorithm Dong Xie1,a, Guorong Chen1,b ,Feng Wan2,c ,Jianqu Zhu2,c 1School of Electric & Information Engineering Chong qing University of Science and Technology Chong qing, China 2Engineering Training Center Chong qing University of Science and Technology Chong qing, axiedongcq @126.com China, bcwcgr@126.com ,cwfjqh@126.com Keywords: Machine Tool; Energy Optimization; Genetic Algorithm; Neural Network; Modeling Abstract.
Ф40 Ф20 Parts(ф40) 15 Holder Toolpath Fig. 1 Cutting experiment detail drawings Fig. 2 Schematic diagram of simulated cutting and toolpath The CK6136 CNC machine tool is selected, and its parameters are as follow: spindle motor power is 5.5KW, efficiency η=0.75; X-axis/Z-axis servo motor power is 1KW; tool material is carbide YT15; parts material is low carbon steel; cutting processing is in coolant condition.
Because the factors that affect machine tool energy consumption have tool material and shape, workpiece material, machine tool structure, etc, CNC machine energy-saving research needs to take other factors into account comprehensively in next step.
(in Chinese) [2] Xu Dijian, Shi Jinliang, “The Design of Active Power Test System and Energy Saving Method of NC Machine Tool”, Modular Machine Tool & Automatic Manufacturing Technique.2010(3), pp.47-51(in Chinese) [3] Fu Hongya,Wang Yongzhang,Lu Hua,etc, “ADAPTIVE LEARNING CONTROL OF CUTTING PARAMETERS FOR SCULPTURED SURFACE CUTTING BASED ON GENETIC ALGORITHMS AND NEURAL NETWORK”, Chinese Journal of Mechanical Engineering, 2002(2), pp.145-148 [4] Yu Chunjian, Huang Xiaodiao, Wang Henglei, “Investigation on Calculation Method of Cutting Power in Gear Milling Based on BP Neural Network”, Tool Engineering,2008(42):,pp.62-65.

Acknowledgment This research is supported in part by the National Natural Science Foundation of China (Grants No.61004030)and the  National Key Technology Support Program of China (Grant No.2013BAA01B01).
Applied Mechanics and Materials, 2013, 341: 1089-1093
Based on Zigbee Technology Greenhouse Monitoring System[C]//Proceedings of the 2012 International Conference of Modern Computer Science and Applications.
International Journal Of Mathematics, 2013, 1(2)
Advanced Materials Research, 2012, 488: 1662-1665.

Complete removal involves the severance of conductors and removal of jacket structure and platform materials to shore for disposal, reuse or recycling purposes.
In order to reuse any platform facilities, it requires additional considerations with respect to fatigue, material, inspection, removal and reinstallation [14].
Na, Decommissioning of Offshore Platform: A Sustainable Framework, in IEEE Colloquium on Humanities, Science & Engineering Research (CHUSER), Sabah, Malaysia, 2012
Kumaraswamy, A Comparative Study of Causes of Time Overruns in Hong Kong Construction Projects, International Journal of Project Management, pp. 55-63, 1997
Idrus, Stakeholder Perceptions on Achieved Benefits of PFI Procurement Strategy, Modern Applied Science, pp. 31-39, 2013.

Duncan E-B model has eight parameters, as shown in table 1.According to the suggested values of roller compaction test results of the scene of the Shuibuya and the calculating parameters of Duncan E-B model, the material calculation parameter values in the form can be determined.
Tab.1 Material calculation parameters Material ρd /(g·cm-3) K m Kb n φ0 /(°) △φ /(°) Rf maximum 2.10 800 0.05 400 0.25 50 8.4 0.78  minimum 2.25 1200 0.20 800 0.45 56 10.5 0.85 In the table above, ρd is density; K is cardinal of tangential modulus; n is index of tangential modulus; Rf is damage ratio; Kb is bulk modulus; m is modulus index.
(In Chinese) [2] Yanlong Li, Shouyi Li and Zhanfeng Ding: Journal of Hydraulic Engineering, 2013(07), p.873.
(In Chinese) [4] Yi Cai, Yan Xing, Dan Hu: Beijing Normal University (Natural Science), 2008(01), p.9.
(In Chinese) [5]Liu Kun, Tan Ying,He Xingui: Peking University (Natural Science),2011(02), p.238.