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Raw Materials and Mixture Gradations Identifying aggregates, mastic and voids exactly is the foundation for 3D reconstruction of asphalt mixture.
It is mainly used to be a waterproof roof, wall filler and mortar as building materials.
Journal of Materials in Civil Engineering, 22(8):820-825, 2010
International Journal of Pavements, 1(3): 22-33, 2002
Journal of Tongji University, 38(12): 1792-1794, 2010

As acidizing technique being an integrated course which combines science, practice and experience in one, it cannot be explained by mathematical technique precisely.
Building model of expert system for acidizing needs to analyze influence factors of acidizing fluids selection, then find out key factors which can be taken as inputs for the expert system [9,10]. 1.1.1 The Main Rules of Selecting Inputs 1) Make sure the factor which catch a great influence on inputs and can be checked or extracted with ease. 2) Factors have weak correlation or no correlation with each other. 1.1.2 The Main Influence Factors Considering the rule of selecting inputs and cooperating with three kinds of acidizing fluids choosing standards which base on character of rock and mineral, laboratory tests and field cases, the data used to develop the model for expert system are collected as follows. 1) Rock typing (RT) 2) Reservoir Temperature (TR) 3) Clay content (CT) 4) Feldspar content (FC) 5) Chlorite content (CC) 6) Silt content (SC) 7) HCl soluble material content (HClS) 8) Degree of fracture development (DF) 9) Reservoir permeability (RP) 10) Well type
Acknowledgment This paper is supported by The Important Project of "Science and Technology in Developing Great Oil&Gas Field and Coal Bed Gas"(2011ZX05030-005-08) and Demonstration Project (2011ZX05044).
References [1] Information on http://www.hendrickson-intl.com [2] Information on http://www.arco.com [3] Yan Jing: Design Study on Expert System of Sandstone Reservoir Acidification, volume 12 of journal of chongqing university of science and technology(natural sciences edition), chapter, 10, journal of chongqing university pablishers (2010) [4] A.S.

Materials used for hard tooling often have high hardness levels.
[3] A Rosochowski, A Matuszak,” Rapid tooling: the state of the art ,”Journal of Materials Processing Technology, Volume 106, Issues 1–3, 2000, Pages 191-198
Haberland,” Experimental studies on selective laser melting of metallic parts,”Materials science and engineering technology, Volume 39, Issue 9, 2008, Pages 665–670
Bolt,” Study on the usability and robustness of polymer and wood materials for tooling in sheet metal forming,” Journal of Materials Processing Technology, Volume 202, 2008, Pages 47-53
Lu,” Micro-mould fabrication for a micro-gear via vacuum casting,” Journal of Materials Processing Technology, Volumes 192-193, 2007, Pages 334-339

The Schematic Design of Scanning Electron Microscope Sample Stages with the Function of Structural Dynamic Observation KEGAO Liu1,a*, XIQIANG Sun2,b 1School of Materials Science and Engineering, Shandong Jianzhu University, Fengming Road, Jinan, 250101, China 2Heilongjiang Animal Husbandry and Veterinary Vocational College,Yingbin Road, Heilongjiang, 150111, China aliukg163@163.com, bwssunxiqiang@163.com *Corresponding author Key words: sample stage; structural dynamic observation; SEM Abstract: At present, the structural dynamic observation by scanning electron microscope (SEM) has a wide range application in the research and production of materials.
Introduction Since the research and development of all kinds of constructional and functional materials provide a basis for social progress and developments, material industry is one of the important pillar industries of society.
Furthermore, the research and development of new materials is inseparable from the advanced testing and analytical equipments.
Dai: Jiangsu University Journals (Natural Sciences) (2003), 24(3),p.62-65
Shu: Mechanical Properties of Engineering Materials (Mechanical Industry Press, Beijing 2003)

Unusual Plastic Deformation Behavior in Lath Martensitic Steel Containing High Dislocation Density HARJO Stefanus1,3, a *, KAWASAKI Takuro1,b, TOMOTA Yo2,c, GONG Wu1,d 1J-PARC Center, Japan Atomic Energy Agency, Tokai-mura, Naka-gun, Ibaraki 319-1195, Japan 2Research Center for Strategic Materials, National Institute for Materials Science, 1-2-1 Sengen, Tsukuba-city Ibaraki 305-0047, Japan 3Elements Strategy Initiative for Structural Materials, Kyoto University, Yoshida-honmachi, Sakyo-ku, Kyoto 606-8501, Japan astefanus.harjo@j-parc.jp, btakuro.kawasaki@j-parc.jp, cTOMOTA.Yo@nims.go.jp, dgong.wu@jaea.go.jp Keywords: Dislocation density, dislocation arrangement, martensitic steel, neutron diffraction Abstract.
The experiments were conducted at TAKUMI [14], a high resolution and high intensity TOF neutron diffractometer for engineering sciences at Materials and Life Science Facility of Japan Proton Accelerator Research Complex (J-PARC).
These materials show very high work hardening behavior at the beginning of plastic deformation.
The neutron diffraction experiments were performed at BL19 in Materials and Life Science Facility of J-PARC with the proposals of 2014I0019 and 2014P0102, and got partly financial supports from the Japan Society for the Promotion of Science Grant-in-Aid for Scientific Research (No. 26289264).
Aizawa, submitted to Journal of Physics: Conference Series (2015)

Materials and Methods Three types of zeolites were used in this study.
Y-100 has low polarity and high hydrophobic materials.
Journal of Hazardous Materials 162 (2009) 440-447
Journal of Hazardous Material 193 (2011) 102-111
Microporous materials. 115 (2008) 215-233.

Stem: Materials Science and Engineering Vol. 302 (2001), p. 68 [3] X.T.
Xia: Materials and Heat Treatment Vol. 8 (2011), p. 60 [5] C.C.
Ding: Journal of Southeast University (Natural Science) Vol. 35 (2005), p. 261 [7] L.Y.
Wei: Materials Transactions A Vol. 8 (1995), p. 1947 [8] X.G.
Ding: Metallurgical and Materials Transactions A Vol. 37 (2006), p. 1333 [12] G.B.

Modeling Corrosion Property of High Chromium Cast Iron under H3PO4 Medium Condition Using Artificial Intelligence Songmin Zhang 1, a, Liujie Xu 2, b 1Department of Computer and Information Engineering, Luoyang Institute of Science and Technology, Luoyang 471003, China 2 Henan Engineering Research Center for Wear of Materials, Henan University of Science and Technology, Louyang 471039, China asmin2008@126.com, bwmxlj@126.com Keywords: High chromium cast iron, H3PO4, Corrosion, BP neural network, Bayesian regularization Abstract.
The high chromium cast iron is produced by melting the raw materials in a 50kg intermediate frequency induction melting furnace, and the chemical composite is shown in table 1.
Fu, et al.: Materials Characterization Vol. 59(2008), p1221 [5] Z.
Xu:Journal of Fuxin Mining Institute (Natural Science Edition) Vol. 16(1997), p78 [6] Z.M.
Lin, ea al.: Materials & Design Vol. 31(2010), p267 [7] L.J.

Materials and methods Materials Deep-frozen tilapia fillets were purchased from a company in Guangzhou, Guangdong Province, China, with an average weight of 105g/fillet.
:Journal of the Science of Food and Agriculture, Vol.85(2005): p.2054-2060
[8] Leroi F., Arbey N., Joffraud J. & Chevalier F.: International Journal of Food Science and Technology, Vol. 31(1996), p.497-504
A.: Journal of Food Science, Vol. 49(1984), p. 734-736
W. : Journal of Food Safety, Vol.20(2000),p.251-268

The rock material property parameters are shown in table 1.
In Chinese [5] P Q Li, H Y Bai, J Ma, et al.: Coal Science and Technology, Vol. 40(2012), p. 35.
In Chinese [6] R Zhang, Z Q Jiang, X H Li, et al.: Journal of China Coal Society, Vol. 38(2013), p. 67.
In Chinese [7] F X Jiang, C W Wang, S H Yang.: Coal Science and Technology, Vol. 35(2007), p. 2667.
In Chinese [10] X Y Wei, Q Wu, S X Zhao.: Journal of China Coal Society, Vol. 29(2004), p. 704.