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Because exploration and development areas are far away from the material supply center, if we operate well control on the unified standards, it will not only increase handling costs, but also cause the waste of resources.
Besides, the exploratory and development area is also relatively far away from the Material Supply Centers.
Drilling well control countermeasures for the Class risk well area （1）Drilling opration should be conducted by the drilling team with qualification of Grade A for class Ⅰ well areas, Grade B for class I well areas, Grade C for class I well areas （2）Strengthening the early detection of well kick, which can help to do sufficient mental and materials preparation for processing of kick timely
Study on calculating model about drilling blowout Probability based on fuzzy mathematics[J]. journal of safety science and technology, 2012,8(1):81-86 [8] I.

Introduction AISI 440C martensitic stainless steel is widely used as a bearing material because of its good mechanical property as well as high corrosion resistant performance.
As an effective surface modification technique, ion implantation has many unique advantages to improve the surface properties of various materials [2-4].
Material and Methods The original AISI 440C stainless steels, with a chemical composition of C 0.96 wt.%, Cr 18 wt.%, Si 0.8wt.%, Mn 0.7wt.%, Ni 0.58wt.%, S 0.03wt.%, P 0.035wt.% and Fe as the balance, were used as the experimental samples.
Acknowledgements The work was supported by National Nature Science Foundation of China under Grant No.51075004 and No.50975004 and Funding Project for Academic Human Resources Development in Institutions of Higher Learning under the Jurisdiction of Beijing Municipality (Grant No.
Masuko, Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, Vol. 224 (2010), p. 957 [18]K.W.

The industrial waste water are waste water, sewage and waste liquid discharged in the process of industrial production, and due to the influences of factors such as products, raw materials, medicament, industrial flow and operation conditions and etc., the composition of pollutants in the industrial waste water are relatively complicated and the pollution is serious.
After beginning of the 1980s, due to the industrial development and rapid increasing of urban population in lake area, large amount of oxygen consumption substance, nutritive materials and poisonous substance are discharged into the lakes, which causes eutrophication of the water body, and the natural purification ability of lakes reduced, the dissolved oxygen in the lake reduced continuously, categories of other aquatic animals and benthos in the water body also reduced accordingly, the biomass was reduced, replaced by the floating vegetation (alga), and finally formed the eutrophic type water ecological system composed mainly of alga [6].
[4] Yuwei He, and Huige Xing: The status quo and countermeasures of our country’s urban water pollution, Water Conservancy Science and Economy, 2006 (1): 44-45.
[7] Yixin Lu, and Feng Ouyang: Water environment protection and economic development research, Journal of Jiangxi Finance College, 2006 (S1): 71-72.

The CAD model of the clamping mechanism Table 1 The material of the component of the clamping unit material Elastic modulus/GPa Poisson's ratio density/10-3g.mm-3 clamping mechanism QT500-7A 173 0.27 7.3 Analysis of Numerical Simulation The 3d model of the clamping mechanism was established by the software of Pro/E4.0 and imported in software of ADAMS by the data interface.
The material of clamping machenism was QT500-7A.
The material characteristics was shown in table 1.
Journal of Guangxi Institute of Technology (In Chinese),2005,16(4):19~26
Mechanical Science and Technology, 2002,(21): 387-389, [10] B Simeon.

Research of Log System for IP Network Storage Deng, Anyuan School of Information Science and Technology Jiu Jiang University Jiu Jiang, China 28737970@qq.com Keywords:. storage system; log system; log; log management Abstract.
Mishing, in: Diffusion Processes in Advanced Technological Materials, edtied by D.
Clem: submitted to Journal of Materials Research (2003) [6] P.G.

China building materials science & technology. 2012, 38-39+53
Journal of building materials.7(2004)447-450

I – 83040 Morra de Sanctis (AV), Italy. 4 Department of Chemical, Materials and Production Engineering University of Naples Federico II Piazzale Tecchio 80, I - 80125 Naples, Italy aciro.caramiello@emaht.com, bstefania.iannuzzi@emaht.com, calessandro.acernese@emaht.com, ddaddona@unina.it Keywords: gas turbine manufacturing, lost wax process, superalloys, ceramic inclusion, process optimization, SVD, subspace algorithms, neural networks.
Acknowledgement The present work has been accomplished within the framework of the project IFACOM (Intelligent Fault Correction and self Optimizing Manufacturing systems FoF NMP – 285489) coordinated by NTNU (Norwegian University of Science and Technology - Trondheim, Norway) in which EMA and the  Dept. of Materials & Production Engineering (DIMP) of University of Naples “Federico II” are active partners.
[10] D’Addona, D., Teti, R., Caprino, G., 2012, Ultimate Strength Prediction of Artificially Damaged Composite Laminates Based on Neural Networks, Journal of Intelligent & Fuzzy Systems, ISSN: 10641246, 23/5: 217–223

Introduction FMS is a complex system consisting of elements like workstations, automated storage system and material handling devices such as robots and AGVs.
In recent years, AGVs are widely used in FMS to transport various materials around a manufacturing facility or a warehouse due to their flexibility and compatibility.
Y.C.Ho and H.C.Liu [4] proposed multiple-load AGV in material transport processing and get the best pickup scheduling rules according to throughput criteria in the simulation analysis.
[6] Minqiang Li, Jisong Kou and Dan Lin: The basic theory and application of genetic algorithm (Science press, Beijing 2002)
[7] Yijun Dong, Gong Zhang, Jie Zhang: Journal of Shanghai Jiao Tong University. vol.44(2009), No. 4, p.528-534.

Journal Citation (to be inserted by the publisher) Copyright by Trans Tech Publications First Principles simulations of extended defects at cubic SiC surfaces and interfaces A.
Introduction Silicon carbide is a group IV compound semiconductor showing unique properties, that allow to consider it as a true surface-science 'laboratory' [1]: the charge polarization of the Si-C bonds makes SiC a polar compound, midway between GaAs and ZnSe [2]; the existence of hundreds of tetrahedral SiC polytypes [3] rises fascinating fundamental problems and opens the way to many potential technological applications.
Thanks to the large lattice mismatch of ~ 20%, this interface may be considered as a model of high lattice mismatch heterostructure of covalent materials, where ab initio simulations are still affordable.
Bermudez, Nature Materials, 2 (2003), in print

Materials and Methods Chitosan (deacetylation degree of 82%) was supplied by Polymar (Fortaleza, Brazil).
[3] Muzzarelli, R.A.A., Amphoteric derivatives of chitosan and their biological significance, in Chitin and Chitosan, Elsevier Applied Science, London, 1989
Young, Exudate-handling mechanisms of two foam-film dressings, Journal of Wound Care, 17(7) (2008) 309-315
[10] ASTM E 96-95 (1995) Standard test method for water vapor transmission of materials, Annual Books of ASTM Standards