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A Model for Prediction of Yield Stress of Heat Treated Al-7Si-Mg Cast Alloys Qingyan Xua*, Rui Chenb, Yufeng Shi and Baicheng Liu Key Laboratory for Advanced Materials Processing Technology, Ministry of Education, School of Materials Science and Engineering, Tsinghua University, Beijing 100084, China ascjxqy@tsinghua.edu.cn, bcailiaochenrui@126.com Keywords: Cast aluminum alloys, Aging, Yield strength, Modeling, Microstructure.
After solidification, the material was solution-treated at 5350C for 6h followed by hot water quenching and then artificial aging-treated for various times at different temperatures.
Samonds, The application of integrated computational material engineering (ICME) in metal castings simulation, Mater.

A Passive Circuit Based RF Optimization Methodology for Wireless Sensor Network Nodes Liqiang Zheng a, Alan Mathewsonb, Brendan O’Flynnc, Michael Hayes d and Cian O’Mathuna e Tyndall National Institute, University College Cork, Cork, Ireland {aliqiang.zheng, balan.mathewson, cbrendan.oflynn, dmichael.hayes,ecian.omuathua} @ tyndall.ie Key words: Passive, Optimization Methodology, Return Loss, Wireless Node, RF performance.
Characterization of the advanced packaging technologies was carried out and the material aspect properties were well studied.
Electrical engineers were used to designing all these circuit blocks for ordinary PCB and didn’t know what would happen if using advanced packaging technologies.

[11] Celik et al., (2012): The relationship between automobile loans and automobile production amount as a key factor for production strategy
[37] Kassahun, Asmare Emerie; Molla, Alemayehu; (2013) "BPR complementary competence: definition, model and measurement", Business Process Management Journal, Vol. 19 Iss: 3, pp. 575 – 596 [38] Khamba, JS; Singh, CD and Singh H (2013), “Exploring Manufacturing Competencies of Car Manufacturing Unit”, International Conference on Advancements and Futuristic Trends in Mechanical and Materials Engineering, (October 3-6, 2013), pp: 88-97
[70] Singh, CD; and Khamba, JS (2014), “Analysis of Strategic Success for an Automobile Manufacturing Unit”, International Journal of Engineering, Business and Enterprise Applications, Vol. 9, Issue 2, June-August 2014, pp: 104-111
[78] Singh, CD; Khamba, JS and Kaur H (2015), “Exploring Manufacturing Competency and Strategic Success: A Review”, 2nd International Conference on Production & Industrial Engineering 2015 proceedings, 13 (3) (2015), pp: 1655-1658
Series: Materials Science and Engineering, 65 (2014), pp: 1-9

Evaluating the environmental risks of these manufactured materials is essential to assist relevant risk assessment and ensure safety of such bio-synthesised nanomaterials. 
Lethality assay data are available not only for seaweed-derived metallic NPs but also for organic and inorganic engineered nanomaterials [5].
Materials and Methods Chemicals.
The sample was identified as Padina tetrastromatica based on definitive taxonomic keys.

The raw materials of experiment Nickel slag.
Yu: Materials Review, Vol. 24 (2010) NO.16, p. 432
Huo: Guangdong building materials, Vol. (2009) NO.9, p. 9
Perdikatsis: Journal of Hazardous Materials, Vol. 161 (2009) NO.2, p.760
Jiang: Henan building materials, Vol. (2003) NO.4, p.25

In addition one key point is that new information becomes available related to the state of the existing structure.
An important aspect of the reassessment study was the creation of a data bank including all information regarding the condition of the structure from the various phases of the structures life: a) Design Phase  Design premises (field data, geotechnical data, standards)  Design data (material data, structural model, geometry data)  Archives (reports, drawings) b) Installation Phase  Built up data (yard surveys, incidental damages)  Transportation data (fatigue, damages) c) Operation Phase  Modifications (deck loads, revamping)  Surveys (damages, corrosion, cracks, marine growth, scouring)  Monitoring (structural displacements/stresses, meteoceanographic data, cathodic protection data  Geotechnical data, equipment data  Statistical regression data (correlation of damage to joint characteristics) A statistical analysis procedure has been developed in order to correlate observed damage of inspected joints to possible (expected) damage of not
References [1] American Society of Civil Engineers (ASCE), Seismic Evaluation of Existing Buildings, (2003)
[6] Ellingwood, B.R., Risk-informed condition assessment of civil infrastructure, state of practice and research issues, Journal of Structural and Infrastructural Engineering 1(1), (2005), p. 7 [7] Diamantidis, D., On the Reliability Assessment of Existing Structures, Engineering Structures, Vol. 9, (1987), p. 177 [8] Joint Committee on Structural Safety (JCSS), Probabilistic Assessment of Existing Structures, RILEM Publications S.A.R.L., edited by D.

Effects of RE on Precipitation Behaviors of the Inclusions and Magnetic Properties of Non-oriented Electrical Steel Cheng-yi Zhu1,2, Xian-hong Chen1,2, Li-fang Zhang1,2, Xiao-yu Liang1,2 and Feng Zhang3 1The State Key Laboratory of Refractories and Metallurgy, Wuhan 430081, PR China 2Key Laboratory of Ferrous Metallurgy and Resources Utilization, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, PR China 3Silicon Steel Department Baoshan Iron & steel Co.
Minaga: Journal of Magnetism and Magnetic Materials, Vol. 234 (2001), p.55
[10] István Bóca, Ágnes Czirákib and Tamás Grófc: Journal of Magnetic Materials, Vol. 83 (1990) No.1-3, p.381
Chen: The Chinese Journal of Process Engineering, Vol. 10 (2010)No.2, p. 240
Pal: Materials Science and Engineering A, Vol. 430 (2006), p.242

Adsorption-desorption Characteristics of E.coli by Quartz sands of different Particle size Zhirong Wang 1,a, Weili Wang 1,b , Xiaoyan Zhu 1,c, Jinglan Wang 1,d, Zhijie Han 1,e, Ya Hua 1,f 1School of Environment Science and Safety Engineering, Tianjin University of Technology, Tianjin, China 300384 a wangzr@tjut.edu.cn,bwangweili221@163.com,c729129664@qq.com, dmaolan2008-123@126.com,e15222050236@163.com,fhuaya72@gmail.com Key words: Quartz sand，E. coli，Adsorption，Desorption Abstract：Adsorption-desorption characteristics of E. coli by quartz sands of five different particle size（351, 319, 217, 71, 27μm）were studied using batch equilibrium method.
Vol. 34 (2005), p.469 [3] X M Rong, Q Y Huang, W L Chen: Acta Ecologica Sinica.Vol. 28(2008), p.376 In Chinese [4] M F DeFlaun, C W Condee: Journal of Hazardous Materials.
Vol. 17(2010), p.400 [6] A Q Jaradat, S J Grimberg, T M Holsen: Journal of Environmental Engineering.
Vol.55( 1991), p.1307 [19] B H Hameed, D K Mahmoud, A L Ahmad: Journal of Hazardous Materials.
Vol. 158(2008), p.65 [20] H H Jia，B P Han，W X Ma, et al: Environmental Science & Technology.Vol.34 (2011),p.43 In Chinese [21] B K G Theng, V A Orchard: Interactions of clay with microorganisms and bacterial survival in soil: A physicochemical perspective(CRC Press, Florida1995) [22] A Khaled, A Nemr, A El-Sikaily, et al: Journal of Hazardous Materials.

Akande 1, c 1 Department of Mining Engineering, Federal University of Technology, Akure, Nigeria 2 Department of Materials and Metallurgical Engineering, Federal University of Technology, Owerri, Nigeria a olaleyebm@yahoo.com, bprofokey2004@yahoo.com, cakandejn@yahoo.com Keywords: Permeability characteristics, coal seams, discontinuity, infusion Abstract.
Discontinuity in rock is one of the properties considered in studying the geological and engineering classification of the rock both of which determine what use or to what extent or efficiency the rock can be utilized, (Franklin and Dusseault, [3].
One of the key factors influencing coal seam permeability is the measured index of permeability, generally the permeability coefficient, David et al., [4].
It is hoped that the classification and description of the Nigerian coals will be useful in the implementation and management of engineering practice of water infusion in coal seams in Nigeria and will be of considerable strategic significance for coalmine safety in Nigeria.
Dusseault, Rock Engineering.

Surface Mechanisms in Homoepitaxial Growth on α-SiC {0001}-vicinal Faces Shun-ichi Nakamura, Tsunenobu Kimoto, and Hiroyuki Matsunami Department of Electronic Science and Engineering, Kyoto University, 1 Kyotodaigaku-Katsura, Nishikyo, Kyoto 615-8510, Japan Keywords:ChemicalVaporDeposition(CVD),HomoepitaxialGrowth,{0001}-vicinalFaces,Atomic Force Microscopy (AFM), Surface Step Structures Abstract.
Abstr. the 19th Conf. on Solid State Devices and Materials (Tokyo, 1987), p. 227 [3] J.A.
Keys: Appl.