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Online since: November 2013
Authors: Reza Abdideh, Mohammad Hizombor, Reza Mohammadian Rad, Iman Mohammad Zadeh
., Physical Metallurgy of Thermomechanical Treatment of Structural Steels, Cambridge International Science Publishing, New York, 1997
Yoo, Effects of finish rolling temperature on inverse fracture occurring during drop weight tear test of API X80 pipeline steels, Materials Science and Engineering: A, Volume 541, 2012, pp. 181-189
Wang, Effects of Finish Rolling Temperature on Microstructure and Mechanical Properties of Ferritic-Rolled P-Added High Strength Interstitial-Free Steel Sheets, Journal of Iron and Steel Research, International, Volume 18, Issue 5 May 2011, pp. 42-46
Online since: October 2011
Authors: Chang An Zhu, Dong Cai Liu, Yuan Shen, Guo Fu Lian, Xiu Shan Bai
Multi-criteria Decision Making for Mechanic Product Design Schemes Based on Layered Ordinal Relation Analysis 1Guofu Lian,2 Xiushan Bai,1 Yuan Shen,Dongcai Liu,Changan Zhu 1Department of Precision Machinery and Precision Instrumentation University of Science and Technology of China Hefei, China 2School of Management Hefei University of Technology Hefei, China Email:gflian@mail.ustc.edu.cn,xiaoban@hfut.edu.cn,liudc@mail.ustc.edu.cn Keywords: product design schemes; layered ordinal relation analysis; multi-criteria decision making Abstract.
However, it is difficult to select the best one by experience with regard to material consumption, costs and processing.
Therefore, the plant takes five factors into consideration: costs (material costs and manufacturing costs), manufacturing cycle (possibility of prompt delivery) , manufacturing complexity (degree of manufacturing difficulty and possibility of manufacturing and assembling) , quality, service(on-site installation and debugging and after-sales service, etc.) .
Journal of Mechanical Engineering, 2009, 45 (12):162-166
Beijing: Science Press,2008.
Online since: October 2015
Authors: Mihaela Ioana Baritz, Daniela Mariana Barbu
Introduction In biology, as in engineering sciences, the vibration is the term used to describe the oscillatory movements of a body or a system of bodies.
Baritz et al., Analysis of Stability Asymmetries and of Gait Cycle Used to Determine the Recovery Degree for Subjects with Traumatic Locomotion Disorder, Applied Mechanics and Materials, Vol 332, pp. 534-539, 2013; [6] T.
Sbenghe, Kinesiology: The science of movement, Medical Press, Bucharest, 2002; [7] http://www.vestibular.org/, accessed in April, 2015; [8] D.M.
Experimental Considerations, Journal of Environmental Protection and Ecology, vol. 9, no. 3, 2008.
Online since: May 2012
Authors: Wen Qian Li, Ye Wang, Xun Li, Hao Shi, Fei Wang
Materials and methods Strains and media.
Acknowledgements The authors are grateful to National Science Foundation of China by the grant 31170537, and Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD).
[2] GP Smith: Science, Vol. 228 (1985), p. 1315-1317
Wang: Journal of Molecular Catalysis B: Enzymatic Vol.67 (2010), p. 45-51.
Online since: September 2013
Authors: Jian Yong Zuo, Xiao Yu Zhu
Specific example According to a typical high-speed train, the material of brake discs is carbon steel.
After definition of material, the quality and rotational inertia can be measured.
This research was supported by National Natural Science Foundation of China (Grant No. 61004077).
Setoguchi: Progress in Aerospace Sciences Vol.38 (2002), p. 469-514 [2] S.B.
Li: Journal of the China Railway Society Vol.34 (2012), p. 18-23
Online since: February 2013
Authors: Li Zhao, Si Yuan Zhai, Ya E Wang, Juan Juan Feng, Jie Li
Materials and methods Bacteria source ① conventional activated sludge was collected from the secondary sedimentation tank of Lanzhou Qilihe sewage treatment plant(Fe(II):21.25g/L, TFe:29.42mg/L);② Biological iron mud was collected from the SBBR reactor which has been put with Fe0 (Fe(II):14.83g/L,TFe:106.92mg/L).
Journal of Environmental Sciences 20(2008) 1487–1493
Northwest A & F University(Natural Science Edition),34(2006)115-120
Northwest A & F University(Natural Science Edition),36(2008)103-109
Agro-Environment Science, 29(2010)1789-1794
Online since: October 2010
Authors: Nigel A. Stone, Wayne Wright, Marty O'Byrne, Stuart Bow
Treatment of titaniferous materials.
Journal of Solid State Chemistry; 127(2): p240-247. 1996 ], which complexes the radioactive material during the reduction process.
Refractory Materials Selection As a consequence of gaining an understanding of the mechanism of burden adhesion, a series of trial experiments were carried out covering a selection of alternative materials (Table 2).
Two different mullite materials were investigated, one a sintered mullite and the second a fused mullite.
This suggests that the amount of inter-crystalline silicate does influence the level of attack that these materials can experience.
Online since: September 2016
Authors: Carmen Andrade, Wilfrido Martínez Molina, Eric Ivan Moreno, Andres Torres-Acosta, Jose Trinidad Pérez-Quiroz, Miguel Martínez-Madrid, Elia Alonso-Guzmán, Pedro Castro-Borges, Juan Genescá-Llongueras, Benjamin Valdez-Salas, Luis Eduardo Ariza-Aguilar, Miguel Baltazar, Demetrio Nieves, Facundo Almeraya-Calderón, Citlali Gaona-Tiburcio, Tezozomoc Pérez-López, Esteban López-Vázquez, Jorge Rodriguez, Nuria Rebolledo, Oladis Troconis-Rincón
Methodology Materials for concrete specimens.
Materials Content (per m3) 0.45 w/c Mixture 0.65 w/c Mixture Cement 411 kg 285 kg Water 185 kg 185 kg Coarse Aggregates 1010 kg 1033 kg Fine Aggregate 731 kg 812 kg Additive (plastifying agent) 4 cc/kg cement 4 cc/kg cement The specimens were mounted on metallic racks on the exposure sites, one meter above ground and with one lateral surface oriented toward the dominating wind (Figure 4).
Exposure Site Exposed Face Covered Face 15 mm 20 mm 30 mm 15 mm 20 mm 30 mm Mérida 12.2 21.6 48.7 22.0 39.1 87.9 Chihuahua 3.8 6.7 15.2 7.4 13.2 29.8 Oaxaca 9.0 16.0 36.0 8.0 14.2 32.0 Morelia 5.2 9.2 20.7 10.2 18.1 40.7 Mexico City 7.2 12.8 28.7 8.7 15.4 34.6 Querétaro 9.4 16.7 37.5 10.6 18.9 42.5 Toluca 6.5 11.5 25.9 6.9 12.3 27.7 Mexicali 3.9 6.9 15.6 3.7 6.6 14.8 Progreso 6.9 12.3 27.7 14.1 25.0 56.3 Veracruz 14.8 26.3 59.2 20.7 36.7 82.6 Campeche-1 28.7 51.0 114.8 51.0 90.7 204.1 Campeche-2 12.8 22.7 51.0 51.0 90.7 204.1 Campeche-3 28.7 51.0 114.8 18.4 32.7 73.5 Ackowledgements The authors acknowledge the Mexican National Council for Science and Technology (CONACYT) and the Iberoamerican Programme Science and Technology (CYTED) for the Development and the opportunity of sharing ideas and knowledge in the Iberoamerican countries.
Journal of Materials in Civil Engineering, Vol. 15, 2003. pp. 344-353
ACI Materials Journal, Vol. 89, 1992. pp. 119-130
Online since: February 2009
Authors: Yong Lin Xu, Jiang Hua Ge, Guo An Gao, Yong Tao Huang
Study on Three-level Matching Model of Product Configuration Oriented to Mass Customization GE Jiang-hua 1,2,a, XU Yong-lin2,b , HUANG Yong-tao2,c and GAO Guo-an 1,d 1Mechanical Electron Engineering College, Harbin Institute of Technology, Harbin 150001, China 2 Contemporary Manufacturing Engineering and Cutter Exploitation Laboratory, Harbin University of Science and Technology, Harbin 150080, China a gejianghua@sina.com, bxyl_lk@hotmail.com, crabbihuang@126.com, dgaoguoan@sina.com Keywords: Mass customization, Product configuration, Three-level matching model, Correlation matrix, Correlation matching Abstract: This paper proposed configuration three-level matching model based on modular product structure in order to solve the product configuration design problem in mass customization (MC).
LI, et al: Chinese Journal of Mechanical Engineering, Vol. 40 (2004) No.1, pp.109-113
YI, et al: Journal of Zhejiang University: Engineering Science, Vol. 40 (2006) No.6, pp.466-470
LI, et al: Journal of Harbin Institute of Technology, Vol. 35 (2003) No.12, pp.1461-1464
WANG, et al: Key Engineering Materials, Vol. 392-394 (2009), pp. 661-666
Online since: December 2009
Authors: Mohammad Ebrahim Zeynali
Upon entering the narrow pores, the raw material experiences the resistance of diffusion, which restricts the access of the reagents to the interior of the grain.
W., Multi-scale catalyst design, Chemical Engineering Science, 2007, 62, 3502 [9] Bensetiti, Z., Schweich, D. and Abreu, C.A.M., The sensitivity of the catalyst effectiveness factor to pore size distribution, Braz.
C. and Iglesia, E., Monte Carlo simulations of surface and gas phase diffusion in complex porous structure, Chemical Engineering Science, 2003, 58, 4605 [12] Haynes, H.
Eng., 1988, 30[4], 563 [13] Koci, P., Stepanek, F., Kobicek, M. and Marek, M., Modelling of micro/nano-scale concentration and temperature gradients in porous supported catalysts, Chemical Engineering Science, 2007, 62, 5380 [14] Szczygiel J., Diffusion and kinetics of reaction over bidispersive reforming catalyst, Computers and Chemistry, 2000, 24, 203 [15] Szczygiel, J., Diffusion in bidispersive grain of a reforming catalyst, Computers and Chemistry, 1999, 23[2], 121 [16] Szczygiel, J., Enhancement of reforming efficiency by optimizing porous structure of reforming catalyst: Theoretical consideration, Fuel, 2006, 85[10], 1579 [17] Sahin, E., Dogu, T. and Mortezaoglu, K., Thermal effects on effectiveness of catalyst having bidisperse pore size distributions, Chemical Engineering Journal, 2003, 93[2], 143 [18] Gheorghiu, S. and Coppens, M.
O., Optimal bimodal pore network for heterogeneous catalysis, AIChE, Journal, 2004, 50[4], 812 [19] Parachayawarakorn, S., Prakotmak, P. and Soponronnarit, S., Effects of pore size distribution and pore-architecture assembly on drying characteristics of pore networks, International Journal of Heat and Mass Transfer, 2008, 51[1-2], 344 Key to Symbols R = gas constant T = temperature M = molecular weight dp = pore diameter Dkn = Knudsen diffusivity coefficient Knd = Knudsen number KB = Boltzmann constant P = pressure Dm = molecular diffusivity coefficient Dtr(r) = transitional diffusion coefficient Deff = effective diffusivity coefficient Ds = diffusivity coefficient of a single pore D * = diffusivity for a group of pores Dws = Wakao-Smith diffusivity coefficient DM = macropore diffusivity coefficient Dµ = micropore diffusivity coefficient r = pore radius f(r) = normal pore size distribution f(β) = constriction factor fb(r)
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