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Online since: June 2013
Authors: Peng Biao Han, Kan Cao, Chao Li, Qing Hua Liu, Jian Pu Geng
The Parametric Design and FEA of SolidWorks Based on VB Kan Cao1,a,Pengbiao Han1,b, Qinghua Liu2,c ,Chao li1,d ,Jianpu Geng1,e 1Hebei University of Science and Technology, No.26, Yuxiang Road, Shijiazhuang City, Hebei province, China 2Hebei Gotop Technology Co., Ltd, No.598, Heping Road, Shijiazhuang City, Hebei province, China acaokanligong@126.com, bhpb68@163.com,clqh@hebei-gotop.com,d1988221cs@163.com, egjpu0212@126.com, Keywords: SolidWorks; secondary development; Parametric Design; FEA Abstract.
The lower support plate three-dimensional model and the result of FEA The static study 1 was established in the templet, which included the material and fixtures.
The material of the lower support plate was Q345 and the bottom of it was fixed.
Sang, in: Journal of Engineering Graphics, (2009), No.6, p.40-45
Online since: February 2013
Authors: Yan Li, Wen Yang Dong, Xiao Wei Han
The method of Interval analysis requires less known information (upper and lower bounds of measurement error, the material parameters have certain boundaries, etc.), considering the uncertainty of the system, the calculation results is a set of feasible solution set a minimum interval[5].
Each of the cross-section of the rod has the same size and material properties.
Fund project: Jilin Scientific and Technological Planning Project(Grant No. 20080711); The National Natural Science Foundation of China (No.51178206) Biography: LI Yan(1977-),Female, Associate Professor, PhD.
A non-probabilistic model of structural reliability based on interval analysis .Chinese Journal of Computational Mechanics, 2001,01 pp:56-60
Online since: May 2012
Authors: Pavel A. Akimov, Marina L. Mozgaleva
(32) Acknowledgements This work was financially supported by the Grants of Russian Academy of Architecture and Construction Sciences (2.3.8, 2.3.18).
Advanced Materials Research Vols. 250-253, 2011, pp. 3652-3655
International Journal for Computational Civil and Structural Engineering.
Online since: November 2011
Authors: Chen Gui Li, Yun Qing Wang, Jie Yu, Yu Zhu Hu, Chao Ye, Xiao Mei Wang, Zheng Yu Yan
Acknowledgements The work was financially supported by the National Natural Science Foundation of China (NO. 30873197).
Ellington and Ellington Prof: ChemBioChem Vol. 6 (2005), p. 2163 [5] Yunqing Wang, Haiyan Chen, Chao Ye and Yuzhu Hu: Materials Letters Vol. 62 (2008), p. 3382 [6] Sujan Chatterjee, Susantamay Nandi and Subhash Chandra Bhattacharya: Journal of Photochemistry and Photobiology A: Chemistry Vol. 173 (2005), p. 221
Online since: January 2014
Authors: Yun Peng Han, Jian Jun Meng, Wei Shuai Zhang, Jian Feng Meng
References [1] Xiang-Tong Liu, Zhu-Guo Xiong and Qiu-Xiang Cao: Exploration Engineering Vol. 2(2009), p.78 [2] Dong Han: Armed Police College Vol. 25 ( 2008 ), p. 90 [3] Qian Sun: China Science and Technology Information Vol. 12(2008), p. 94 [4] Mei Hao: China Water Transport Vol. 9(2009), p.129 [5] Chan S T, Ermak D L: Journal of Hazardous Materials Vol.16(1987), p.267
Online since: May 2011
Authors: Tao Zhang, Rui Zhang
The material in the range of less than 2.5mm is similar to powder.
The materials from 10mm to 2.5mm are slag and broken bricks.
The little size material similar to powder plays main role, because of its power water absorption.
[4] Jianzhuang XIAO, Jia-bin LI, Zhen-ping SUN and Xuanming HAO, in: Journal of Tongji University (Natural Science) (2004, in Chinese)
[6] He Ye, in: New Building Materials (2006, in Chinese).
Online since: June 2011
Authors: Ping Zhao, Hu Zhang
For "machine" and "environment" two factors ,sensors are used, such as: scaffolding sensors collection points, electrical equipment and machinery sensors collection points, beams, columns shear wall and other structure parts sensors collection points, material quality sensors collection points and so on.
The more number of experts, the more accurate of the engineering data and the smaller error there is. 3.1The analysis of sensor's output data Each item’s degree of membership of safety state can be obtained based on several sensors’ output data of the scaffolding, electrical equipment and machinery, beams, columns, and shear walls and materials quality.
Therefore, this scaffolding engineering of construction project should describe to be state Ⅰ(security). 3.2 The safety state prediction of each sub-project construction According to the step of 3.1, get the safety state of electrical equipment and machinery, beams, columns, and shear walls, materials quality, human factors and management factor in turn.
The results are as follows, the state of scaffolding is Ⅰ, the state of electrical equipment and machinery is Ⅱ, the state of beams, columns, and shear walls is Ⅰ, the state of materials quality is Ⅱ, the state of human factors is Ⅰ, the state of management factor is Ⅱ.
China Safety Science Journal, Vol. 17(1) (2007) , p.57-65
Online since: March 2016
Authors: B.D. Zhukov, V.T. Shamirzaev, V.A. Gaisler, T.S. Shamirzaev
Water contaminants include inorganic, organic, and biological materials, some of which directly affect water quality, whereas others indirectly cause physical, chemical, or biological changes [1,2].
These sludge materials can gather and coat the insides of the pipes.
Each section consists of two cells: the first one is filled with iron filings mixed with a special dispersed material (in this cell the corrosion initiates extraction of iron ions that coagulate with surfactant molecules); the second cell is the vessel in which the liquid filtered through the first one gets accumulated.
Trimble, Encyclopedia of Water Science. 2nd ed., CRC Press, 2008
De, Removal of dye from aqueous solution using a combination of advanced oxidation process and nanofiltration, Journal of Hazardous Materials 140 (2007) 95-103
Online since: November 2014
Authors: Ahmad Zaini, Shokri Rad Mozafar
Introduction Auxetic foam has been known conceptually as material that has negative Poisson’s ratio.
However, due to the flexibility of foams, this method is not reliable and accurate for such material.
Design Considerations for Materials with Negative Poisson’s Ratios.
Journal of Acta Materialia. 58(2010) 858-865
Matertials Science.
Online since: September 2013
Authors: Xun Feng Yuan, Yan Yang
Flow Velocity Affecting Dendrite Growth of Fe-C Alloy Xunfeng Yuan1,a, Yan Yang2,b 1Department of Physics and Electronic Information Engineering, Shangluo University, Shangluo 726000, China 2Department of Mathematics and Computational Science, Shangluo University, Shangluo 726000, China ayuanyang2011@163.com, byanyangtianhao@163.com Keywords: Phase-field, Forced flow, Dendrite growth, Flow velocity Abstract.
Introduction Understanding dendrite solidification is of great importance because the scale of a dendrite determines segregation patterns, microstructures, and consequently determines the properties of the material[1].Phase-field method is very popular for the simulation of microstructures evolution during solidification process.
Wang and Y.Y.Li: Chinese Journal of Materials Research, Vol. 23 (2009), No. 3 p. 317
Yuan and Y.Yang: Advanced Materials Research, Vol. 602-604 (2013), p. 631
Yuan and B.Y.Liu: Applied Mechanics and Materials, Vol. 268-270 (2013), p. 352.