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Online since: October 2006
Authors: C. Malagù, B. Vendemiati, E. Ferrari, A. Giberti, M.C. Carotta, S. Gherardi, G. Martinelli, Marco Nagliati
Martinelli, Journal of Sol-Gel Science and Technology, 22 (2001) 167-179
Sh.Makhmudov, Journal of Optoelectronics and Advanced Materials 5(2003) 899-902
Pijolat, Materials Science and Engineering C, 26, 2-3 (2006) 186-195
Martinelli, Advanced Materials, 11, 943 (1999)
Martinelli, Journal of Material Research, 13, N o 5 (1998) 1335-1344
Online since: December 2014
Authors: Zhou Li Liu, Chuang Meng, Qing Zhang, Wei Chen, Xing Yuan He, Yan Wang, Qing Qing He, Jiao Jiao Qin
Materials and methods Experimental set-up.
Buckets and other non-biological materials were cleaned with 10% HCl solution and thoroughly rinsed with distilled water before utilization.
European Journal of Agronomy, Vol. 54 (2014) [7] A.
Journal of Northeast Agricultural University,Agro-Environment Science, Vol. 7 (2000), p. 149-157 [9] APHA, Standard Methods for the Examination of Water and Wastewater, 20th ed.
Journal of plant, Vol. 42 (2000), P. 373-378
Online since: December 2014
Authors: W. Acchar, F.V. Motta, R.P.A. Souza, R.G. Carvalho, E. Harima, R. Maribondo, C.A. Paskocimas
Material and Methods Materials In this study, rice shells from company Kero Kero Ltda and clay from the Assú valley – RN were used.
Figure 2 illustrates the X-ray diffractograms of raw materials.
Riedel: International Journal of Refractory Metals & Hard Materials Vol. 15 (1-3) (1997), p. 13
Nowok: Materials Science And Engineering Vol. 232 (1-2) (1997), p. 157
:International Journal of Science and Technology Vol. 2 (4) (2012)
Online since: January 2014
Authors: Dedi Suwandi, Yudan Whulanza, Jos Istiyanto
Some problems in the process of lithography light source is like looking for a UV or X-ray that needs tools, materials and energy sources are expensive.
Fig. 1 Scheme Maskless photolithography Test Result and Analysis Materials to be used in maskless photolithography process is actually copper.
Data taken with the same tools and materials, starting from 1 to 8 minutes.
G.Kopitkovas, T.Lippert, C.David, A.W okaun, J.Gobr echt, 2003, “Surface micromachining of UV transparent materials”, International Journal of Thin Solid Films 453 –454 (2004) 31–35
[12]. http://www.sigmaaldrich.com/technical-documents/protocols/materials-science/negative-photoresist.html [13]. http://hyperphysics.phy-astr.gsu.edu/hbase/bbrc.html
Online since: January 2014
Authors: Fu Qiang Cheng, Yan Ji Hong, Chao Zhu
But with the study of thermoelectric theory and material, TEG will provides a promising direction to answer the global environment and power source crisis.
Figure-of-merit is a dimensionless intrinsic property depending only on the material.
Reference [1] Fuqiang Cheng, Yanji Hong, Chao Zhu.A physical model for thermoelectric generators with and without Thomson heat[J].Journal of energy resources techonolgy.
Journal of Electronic Materials, 2012, 41(6): 1706-1712
IEE Proceedings of Science, Measurement and Technology, 1996, 143(6): 351-356
Online since: July 2022
Authors: Bohdan Tsymbal, Olena Sharovatova, Artem Petryshchev, Larysa Anrieieva
Recycling and return to the production of man-made waste is one of the ways to obtain alloying materials of refractory elements, the prices of which tend to increase [9].
One of the ways to save resources is to obtain alloying materials containing molybdenum, tungsten, chromium, nickel by processing and returning to the production of alloyed man-made waste.
The unsolved parts of the problem are to determine the most favorable conditions for the recovery of doped man-made raw materials in the Fe-Ni-Cr-Mo-W-Nb-O-C system.
The disadvantage is the lack of data on the reduction of complex oxide compounds, which may be part of man-made raw materials.
Atanassov, New bulgarian soil pollution standards, Bulgarian Journal of Agricultural Science. 14 (2008) 68–75
Online since: March 2004
Authors: Jiu Hua Xu, K.Q. Ren, Guo Sheng Geng
The development in carbide tools has expanded the application of these tools for the high speed machining of difficult to machine materials such as titanium alloys [1-7].
Shaw: Metal Cutting Principles (Oxford Science Publications, New York 1984)
Vigneau: International CIRP/VDI Conference on Cutting Materials and Tooling (Dusseldorf, September 19–20, 1997)
Sánchez: Journal of Materials Processing Technology Vol. 100 (2000), p. 1 [8] E.
El-Zahry: Journal of Materials Processing Technology Vol. 109 (2001), p. 229
Online since: August 2017
Authors: Agus Setiabudi, Galuh Yuliani, Nisa Nashrah, Hanifah Permana Putri
References [1] Koshy, N., Jha, B., Kdali, S., & Singh, D., Synthesis and Characterization of Ca and Na Zeolites (Non-Pozzolanic Materials) Obtained From Fly Ash–Ca(OH)2 Interaction Materials Performance and Characterization, 4(1) (2015
Earth-Science Reviews, 141 (2015) 105-121
Y., Extractive efficacy for acephate of microwave synthesized zeolitic materials: Equilibrium and kinetics.
Materials Transactions, 51(9) (2010) 1694-1698
Advanced Materials Research, 896 (2014) 159-162
Online since: April 2010
Authors: Sheng Wen Zhong, Qian Zhang, Wei Hu
Synthesis and Electrochemical Properties of 0.5Li2MnO3·0.5LiMn0.5Ni0.5O2 aZHONG Sheng-wen, HU Wei, ZHANG Qian Faculty of materials and chemical engineering, Jiangxi University of Science and Technology, Ganzhou Jiangxi 341000, China a zhongshw@126.com Keywords: Cathode material; 0.5Li2MnO3-0.5LiMn0.5Ni0.5O2; Electrochemical properties Abstract.
It indicates the cathode materials have finer layered structure [6].
Fig.4 shows the cycle performance of different cathode materials.
It means that T1 effect electrochemical properties of the cathode materials.
Amine: Journal of Power Sources, (2003) pp. 533 [5] T.
Online since: March 2013
Authors: Zou Shun Zheng, Rui Rui Leng
Zhou, et al., Intelligentization of materials processing technology[J], Chinese Journal of Mechanical Engineering, 41(11), 2005: 8 [2]BH.
Han, et al., The Powder Injection Molding Intelligent Control Simulation System based on Artificial Neural Network[J], Journal of University of Science Technology Beijing, 33(5), 2011.5: 623-626 [6]HN.
Ribeiro, Part quality prediction in an injection moulding process using neural networks[J], Journal of Materials Processing Technology, 103 (3), 2000: 411- 416 [13]BHM Sadeghi, A BP-neural network predictor model for plastic injection molding process, Journal of Materials Processing Technology, 103 (3), 2000: 411- 416 [14]PKDV.
Khong, Development of a hybrid neural network system for prediction of process parameters in injection moulding, Journal of Materials Processing Technology, 118(1-3), 2001: 110- 116 [15]S.
Erzurumlu, Warpage optimization of abusceiling lamp base using neural network model and genetic algorithm[J], Journal of Materials Processing Technology, 169( 2), 2005: 314-319 [17]WH.