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Online since: December 2012
Authors: Yean Der Kuan, Jing Yi Chang
Wang et al. [1] proposed strategies of popularizing and using green building materials, and indicated that with the rapid development of construction, green building materials have reached a certain level.
Varieties of material have been renovated and developed continuously, and new green building materials have continuously emerged.
As people pay increasing attention to green building materials, these will certainly replace traditional building materials.
[7] Chao Yang: Advances in information Sciences and Service Sciences Vol. 4 (2012), p.137-146
Liao: Journal of Energy Vol. 36 (2011), p.133-140
Online since: July 2012
Authors: Chao Xian Wang, Chang Yong Sun, Yi Bing Song, Yong Xiu Li, Hui Liu, Long Wei Ye, Yi Wen Fang
Mesoporous silica materials seem to become ideal supports for Au nanoparticles due to regular pores and excellent surface modification abilities since the Mobil scientists first reported the M41S family of materials[9].
The synthesized materials were characterized by using scanning electron microscopy (SEM), transmission electron microscopy (TEM) and X-ray diffraction (XRD).
This modified materials Al-SBA-15 based on SBA-15 revealed good performance and would be further studied and reported.
And when CA and KBH4 were used as reductants, Au/SBA-15 materials shows great catalytic properties.
Song: Advanced Materials Research Vol. 476-478 (2012),P. 1186
Online since: June 2014
Authors: Xiao Zhen Liu, Jie Chen, Xiao Zhou Liu, Guang Jie Song, Yan Wu
Y and Sb doped SnO2 conductive particles are prepared by the complexation-coprecipi- tation method with Sn, Sb2O3 and Y2O3 as the raw materials.
The powder of antimony doped tin oxide has been widely used in photovoltaic and optoelectronic devices, flat panel displays, electrochromic materials, electrode materials and catalysts materials of olefin oxidation, oxidative dehydrogenation, and ammoxidation of alkenes, propylene to acrolein and acrylonitrile for their electric and optical advantage properties [2,3].
Xiao: Applied Mechanics and Materials Vol. 492 (2014) p. 370 [3] X.Z.
Chen: Journal of Rare Earths Vol. 25 (2007), p. 72 [4] X.Z.
Chen: Journal of Rare Earths Vol. 24 (2006), p. 42 [5] Z.
Online since: September 2014
Authors: Sachin Kashid, Shailendra Kumar
Ruffini, Effect of the training set size on springback control by neural network in an air bending process, Journal of Materials Processing Technology, Vol. 80–81 (1998), p.493–500 [3] R.
Hambli, Optimization of Blanking Processes Using Neural Network Simulation, The Arabian Journal for Science and Engineering, Vol. 30 (2005), p.3-16 [6] K.
Ramakrishnan, Application of Neural Network in Sheet Metal Bending Process, Defence Science Journal, Vol. 55 (2005), p. 125-131 [7] K.
Qiu, Springback prediction for sheet metal forming based on GA-ANN technology, Journal of Materials Processing Technology, Vol.187–188 (2007), p.227–231 [9] M.
Golcu, Artificial neural network analysis of springback in V bending, journal of applied science, Vol. 8 (17) (2008), p.3038-3043 [10] F.
Online since: August 2013
Authors: Zhan Ding, Zheng Qi Zhang, Pei Long Li
Journal of Cold Regions Engineering, 10, 3 (1996)
Journal of Zhengzhou University(Engineering Science), 29, 1, (2008)
Journal of Chang’an University (Natural Science Edition), 27, 5 (2007)
Journal of Materials in Civil Engineering, 8, 3 (1996)
Polymer Materials Science and Engineering, 22, 2(2006) [9]H.
Online since: July 2013
Authors: Xiang Li, Xiao Yang Li, Hui Ping Yu, Ya Li
The strain of spot welding specimen made of dissimilar materials (22MnB5& ST16) is negative, and almost linearly.
It guarantees the safety of vehicles impact resistance, which therefore becomes the main direction of development of automotive steel materials[1,2] .
Therefore, it is particularly important to do some relative research on ultra-high-strength steel and dissimilar materials’ welding properties.
Su: Journal of Jiangsu University(Natural Science Edition), Vol. 27 (2006) No.4, P.351.
He: Journal of Shandong University (Engineering Science), Vol. 40 (2010) No.3, P.69.
Online since: April 2012
Authors: Xue Feng Yang, Xiu Li Fu, Yang Qiao
Bhadeshia: Materials Science and Engineering A Vol. 223 (1997), p. 64-77 [3] W.M.
Mendez: Materials Science and Engineering A Vol. 399 (2005), p. 199-205 [5] E.
Thomas: Metallurgical and Materials Transactions A Vol. 38A (2007), p. 1330-1336 [6] J.L.
Danninger: Journal of Materials Processing Technology Vol. 176 (2006), p. 62-69 [8] A.R.C.
Ridgway: Journal of Materials Processing Technology Vol. 200 (2008), p. 424-432
Online since: July 2011
Authors: Zhanwen Chen, Guy Littlefair, Shamzin Yazdanian
Jahazi: Materials Science & Engineering A Vol. 472 (2008) p. 179
Jahazi: Materials & Design Vol. 30 (2009) p. 2033
Wang: Materials Science & Engineering A Vol. 429 (2006) p. 312
Yuan: Materials Science & Engineering A Vol. 499 (2009) p. 93
Reynolds: Materials Science and Engineering A Vol 527 (2010) p. 1537
Online since: December 2023
Authors: Teik Cheng Lim
Jiang: Materials Today 44 (2021) 168-193
Lim: Journal of Science: Advanced Materials and Devices 7 (2022) 100401
Lim: Royal Society Open Science 8 (2021) 210593
Lim: Oxford Open Materials Science 2 (2022) itac007
Lim: European Journal of Mechanics - A/Solids 100 (2023) 104986.
Online since: August 2017
Authors: Juana Coello, Nuria Medina, Alberto Martínez-Martínez, María Carmen Manjabacas, Valentín Miguel
Two different materials are considered to point out the influence of turning parameters on cutting temperature.
On this occasion, tests were defined for two materials whose physical and mechanical properties considerably differed from one another.
The materials employed were an EN AW-2014 aluminium alloy and F-1110 steel.
-Mean temperatures evolution while machining two different materials under the same conditions.
Journal of Materials Procesing Technology, 118 (1-3), 301-308