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The Study on Properties Change of Bauxite Crushed by High Pressure Grinding Roller Zan Yan1,a, Zhitao Yuan1, b, Mengsu Peng2, c, Juntao Chen3, d 1School of Resources & Civil Engineering, Northeastern University, Shenyang, 110819, China 2 School of Chemical Technology, Aalto University, Espoo, 02320, Finland 3 School of Materials Science & Engineering, Henan Polytechnic University, Jiaozuo, 454003, China a993131948@qq.com, b 515887844@qq.com, c kevinpen2010@gmail.com, d juntaochen@163.com Key Words: HPGR,Bauxite,Work index,Specific surface area,Pore volume Abstract.
Bond Ball Mill Work Index is calculated as follows: Wib——Bond Ball Mill Work Index，kW·h/st； P1—— Test screen aperture，μm； Gbp—— the weight of new undersize material generated per rotate，g/r； P80——the aperture size which 80% product particles can pass，μm； F80——the aperture size which 80% feed particles can pass，μm.
During HPGR comminution the feed material is exposed to very high pressure for a short time.
The high pressure causes the formation of microcracks in the feed particles and generates a substantial amount of fine material [5, 6, 7].
The Chinese Journal of Nonferrous Metals，1998，8(2):623-626

College, Bilaspur 495009, India 2Department of Basic Sciences, Dr C V Raman University, Bilaspur 495001, India amskurrey1678@gmail.com, bbddiwan@gmail.com Keywords: Dosimetry; Thermo-luminescence; Zinc oxide; Nanophosphors.
The thermally stimulated luminescence technique is used to study defects in insulator and semiconductor materials.
It exhibited good thermo-luminescence properties and may be considered as a promising material to be used in thermo-luminescence dosimetry.
[8] Hsin-Ming Cheng, Hsu-Cheng Hsu, Shiow-Lian Chen, Wen-Ti Wu, Chih-Chun Kao, Li-Jiaun Lin, Wen-Feng Hsieh, Efficient UV photoluminescence from monodispersed secondary ZnO colloidal spheres synthesized by sol–gel method, Journal of Crystal Growth. 277 (2005)192–199
Inoue, A new chemical bath deposition method for fabricating ZnS, Zn(OH)2, and ZnO thin films, and the optical and structural characterization of these materials.

Research for Combined Drainage Networks in Chuanfang river basin of Kunming City based on SWMM Xiaomin Zhu1,a, Bing Huang1,*b, Shudong Wang 2,c, Jinlong Zheng 2,d, Bo Yao2,e, Su Chen1,f 1 Kunming University of Science and Technology, Faculty of Environment Science and Engineering, Kunming, Yunnan, 650093, China 2 Kunming Institute of Environmental Science, Kunming, Yunnan, 650032, China azhuxiaomin1113@163.com, b kmhuangbing@yahoo.com.cn, c wsd2005@163.com, d jinlong_z@yeah.net, e yobo926@yahoo.com.cn,fchensucomcn@163.com Corresponding Author: Bing Huang,E-mail: kmhuangbing@yahoo.com.cn Keywords: Storm Water Management Model, combined drainage networks, node flood, conduits surcharge, sewage type, draining peak time.
According to the divided results based on the GIS and the drainage network information in Chuanfang river basin, the model area was divided 305 links, 308 nodes,3 water outlets, following the principle that remained same pipe diameter, material, slope.
Journal of Water and Wastewater Engineering .
Optimization of rainwaater drainage system based on SWMM model.Journal of Water and Wastewater Engineering in China, Vol 26,pp. 40-43,Dec 2010(In Chinese)
[3] Dongquan Zhao, Jining Chen, Qingyuan Dong al.Construction of SWMM urban drainage network model based on GIS.Journal of Water and Wastewater Engineering in China, Vol 24,pp. 88-91, April 2008(In Chinese)

In order to meet the demand of torsion bar intensity, namely less than the material intensity and torsion angle limit, the design variable function is as the following
The target function is （4） Here, is the target function, and is the bending moment of dangerous section in the condition, is the torque moment of dangerous section in the condition, and [σp] is the permitted stress of torsion bar material. 2.2.3 Constraint Condition The maximum torsion angle is less than designed value.
[7]GUO Huixin,GUI Naipan,HE ZHEming.Ant Colony Optimization Algorithm and Application in Mechanical Optimal Design.Journal of Hunan University of Arts and Science (Natural Science Edition).2005,11(3):50-52.

Non-probabilistic Reliability Optimization of Linear Structural System Based on Interval Model Minrong Wang1,2, a , Zhijun Zhou2,b 1School of Civil Engineering ＆ Mechanics, Huazhong University of Science and Technology, Wuhan, 430074, China 2School of Civil Engineering and Architecture, Wuyi University, Jiangmen, Guangdong, 529020, China awmrzhang@126.com , b zzjwyu@163.com Keywords: Structural Reliability, Non-probabilistic Reliability Index, Structural optimization, Interval Model, Linear structures.
All members are made of the same material with elastic modulus 6.895×103 kN/cm2 and density 2.768×10-3 kg/cm3.
The design objective is to minimize the total material weight of the structure.
Amsterdam: Elsevier Science. 1990
Optimization of uncertain structures based on non-probabilistic reliability．Chinese Journal of Computational Mechanics(China), 2002, 19(2):198 ~201

Introduction With the development of society and economy, the transformation of power grid is imminent .traditional power grid is not suitable for industrial electricity requirements, therefore , China has proposed building a smart, reliable, cost-efficient, environmentally clean, transparent and open smart grid.with the development of the national economy, electricity has become the primary energy of the country. along with a rich people's material life, the improvement of living standards, Demand for electricity is growing. the current railway sector electricity management is too backward.
Locomotive power management fees is used to power, after meter reading, and then pay the way. this through a matrix, each column is provided with a table of locomotive, by writing partition table data and summary data control way is now standard method of electric charge ,And in this way increases the workload management.according to statistics, only the power sector reading team is very large, and human faults, low work efficiency, easy to cause the waste of material resources[1].
Acknowledgements This work was financially supported by the Science and Technology Plan Projects of Hunan Province (Grant No.2012FJ4265), College Students' Inquiry Learning and Innovative Experiment Plan Fund Projects of Hunan Province (Hunan Education[2014]248-323), College Students' Inquiry Learning and Innovative Experiment Plan Fund Projects of Hunan University of Technology(HunanUniversity of Technology Education[2014]7-83).
Gansu Science and Technology,2011,27(1):16-18(in chinese)
Journal of Electronic Measurement and Instrument,2011,25(1):89-95(in chinese)

Effect of Austenitization Temperature on Formation of Low Temperature Bainite Lianjie Yuan1,a , Qingsuo Liu2,b, Bin Gao3,c 1,2,3School of Materials Science and Engineering, Tianjin University of Technology, Tianjin 300384, China aemail：yuanlianjie1988@126.com bemail: qingsuoliu@eyou.com cemail: 445608037@qq.com Key Words: austenitization temperature; low-temperature bainite; incubation period; edge boundary Abstract.
Acknowledgement This research was supported by Tianjin science and technology support significant project，11ZCKFGX20500.
Journal de Physique IV, Vol. 112 285-288 (2003)

Acknowledgement This work is financially supported by Key Subject—Mechanical Engineering, Doctor Fund of Henna Polytechnic University (648343), and the Natural Science Foundation Project from the Education Department of Henan Province (2011B460008).
[3] L.Wang, L.Qin and W.P.Ruan:Journal of Mechanical Tranamission,Vol.35(2011)No.01,p.59
[6] F.P.Yang and Q.Sun:Mechanical Science and Technology for Aerospace Engineering,Vol.26(2 007)No.9,p.1151
[8] K.Lv, Y.Yuan, D.Guo and L.Wang: Key Engineering Materials, Vol.522(2012),p.476.

Acknowledgements Supported by the Natural Science Foundation of Fujian Province of China under Grant Nos.
F0910149, S0850028; the Soft Science Research of Fujian Province of China under Grant No. 2010R0091; the Key Technology R&D Program of Xiamen, Fujian under Grant No. 3502Z20103001, 3502Z20101002; the Key Technology R&D Program of Quanzhou, Fujian under Grant No. 2009G29; the Leading Academic Discipline Program, “Project 211 (the 3rd phase)” of Xiamen University; the Fundamental Research Funds for the Central Universities, Xiamen University under Grant No. 2011121023, CXB2012012, CXB2012013, 201212G007.
[9] Shi Hong-Bo, Wang Zhi-Hai, Huang Hou-Kuan, Li Xiao-Jian.Journal of Software, 2004.193~199,in Chinese
[10] Zhu, Xiaodan; Su, Jinsong; Wu, Qingfeng; Dong, Huailin.Naive Bayes classification algorithm based on optimized training data.Advanced Materials Research,2012.v490-495,p460-464

The material of the brake element is 16MnR steel, whose Young's modulus and Poisson ratio are 2.1e5 MPa and 0.3 respectively.
Reasonable design and appropriate friction pair material can reduce vibration amplitude and avoid coupling vibration of brake element and bogie.
Journal of Traffic and Transportation Engineering. (2005).5:3, p. 5-7.
China Railway Science, (1985)6:1, p99-110.
China Railway Science, 2005, 26(6): 6-12 (in Chinese)