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Online since: September 2013
Authors: Chen Yang Xu, Fu Xiang Chu, Xiao Ling Xu, Hao Chen, Fang Gao
However, these methods are complicated and the materials prepared by these metheds are limited in size.
The Chinese Journal of Nonferrous Metals [J], 2006, 16(1): 1
Materials Science and Engineering,2005 (A392): 320-325
Material Science Forum, 2003, 419-422:503
Material Science Forum,2003,419–422:503
The Chinese Journal of Nonferrous Metals [J], 2006, 16(1): 1
Materials Science and Engineering,2005 (A392): 320-325
Material Science Forum, 2003, 419-422:503
Material Science Forum,2003,419–422:503
Online since: June 2011
Authors: Solisabel Orozco Gomez, Karl Delbé, Alberto Benitez, Jean Yves Paris, Jean Denape
Alternative solutions withstanding higher operating conditions imply to find innovative materials.
Table 4: Wear rate of the studied materials.
Watanabe : Contact Characteristics of New Self-Lubricating Composite Materials, (IEICE Trans.
BerthierIn: Handbook of Materials Behavior Models, edited by J.
Cao, Materials Science and Engineering : R, Vol. 63, (2009) p. 127
Table 4: Wear rate of the studied materials.
Watanabe : Contact Characteristics of New Self-Lubricating Composite Materials, (IEICE Trans.
BerthierIn: Handbook of Materials Behavior Models, edited by J.
Cao, Materials Science and Engineering : R, Vol. 63, (2009) p. 127
Online since: May 2015
Authors: Pavel Novák, Jan Šerák, Dalibor Vojtech, Tomáš Kovalčík
ASM Handbook, Volume 13B: Corrosion: Materials; ASM International, (2005), 205–227
Journal of Material Science, 29, (1994), 5259–5271
Advanced engineering materials, 5 (12), (2003), pp. 866–878
Materials research innovations , 14 (2), (2010), 154–159
Materials research innovations, 14 (4), (2010), 342–347.
Journal of Material Science, 29, (1994), 5259–5271
Advanced engineering materials, 5 (12), (2003), pp. 866–878
Materials research innovations , 14 (2), (2010), 154–159
Materials research innovations, 14 (4), (2010), 342–347.
Online since: July 2013
Authors: Jie Wang, Heng Zhang
Research on Visual Cortex Prosthesis System and Visual Information Coding Strategy based on Sustainable Materials
HengZhanga, JieWangb
School of Electrical Engineering, Zhengzhou University, 610225, Zhengzhou450001, China
e-mail:a zhangheng429@163.com, bwj@zzu.edu.cn
Keywords: Usual Cortex Prosthesis, Parse Response, Synchronous Oscillation, Topology Independent Component, Pulse Coupled Neural Network
Abstract: The visual system is human know the important sensory system of the external world, due to a variety of diseases or other injury, leading to the increasing number of blind visual loss, the visual cortex prosthesis research is expected to provide a way of blind sight.
Science 1(4):440-444 [2] Uhlig C, Tanen S, et al (2009) Electrical stimulation of the visual system from empirical approach to visual prostheses .Ophthalmologic 2(11):1089-1096 [3] Margalit E, Maia M, Wetland J (2010) Retinal prosthesis for the blind.
J Com p Neuron, l 8(1):1-16 [9] Pezaris J, skandar E (2009) Getting signals into the brain: visual prosthetics through thalamic micro stimulation Neurosurgeon Focus 9(1):156-159 [10] Zaghloul K. and Boahen K (2009) “Optic nerve signals in a neuromorphic chip I: Outer and inner retina models”, IEEE Transactions on Biomedical Engineering 10(4):657-666 [11] Boyle J, Maeder A and Boles W (2009) “Inherent visual information for low quality image presentation”, Proceeding of the 2003 APRS workshop on digital image computing, Brisbane, Australia 11(9):51-56 [12] Gal V, Hamori J, Roska T, et al (2009) “Receptive field atlas and related CNN models”, International Journal of Bifurcation and Chaos 12(2):551-584 [13] Archambeau C, Delbeke J, Veraart C et al (2009) “Prediction of visual perceptions with artificial neural networks in a visual prosthesis for the blind”, Artificial Intelligence in Medicine 13(3):183-194 [14] Field D (2009) Relations between the statistics of natural images and the
Science 1(4):440-444 [2] Uhlig C, Tanen S, et al (2009) Electrical stimulation of the visual system from empirical approach to visual prostheses .Ophthalmologic 2(11):1089-1096 [3] Margalit E, Maia M, Wetland J (2010) Retinal prosthesis for the blind.
J Com p Neuron, l 8(1):1-16 [9] Pezaris J, skandar E (2009) Getting signals into the brain: visual prosthetics through thalamic micro stimulation Neurosurgeon Focus 9(1):156-159 [10] Zaghloul K. and Boahen K (2009) “Optic nerve signals in a neuromorphic chip I: Outer and inner retina models”, IEEE Transactions on Biomedical Engineering 10(4):657-666 [11] Boyle J, Maeder A and Boles W (2009) “Inherent visual information for low quality image presentation”, Proceeding of the 2003 APRS workshop on digital image computing, Brisbane, Australia 11(9):51-56 [12] Gal V, Hamori J, Roska T, et al (2009) “Receptive field atlas and related CNN models”, International Journal of Bifurcation and Chaos 12(2):551-584 [13] Archambeau C, Delbeke J, Veraart C et al (2009) “Prediction of visual perceptions with artificial neural networks in a visual prosthesis for the blind”, Artificial Intelligence in Medicine 13(3):183-194 [14] Field D (2009) Relations between the statistics of natural images and the
Online since: August 2013
Authors: Karol Velíšek, Silvia Sebenova, Michala Šimúnová
Selection of the appropriate type of sensory equipment
Silvia Šebeňová1, a, Michala Šimúnová2,b, Karol Velíšek3,c
1,2,3Slovak University of Technology in Bratislava, Faculty of Materials Science and Technology in Trnava, Institute of Production Systems and Applied Mechanics, Rázusova 2, 917 01 Trnava, Slovakia
silvia.sebenova@stuba.ska, michala.simunova@stuba.skb, karol.velisek@stuba.skc
Keywords: sensor, sensory equipment, selection of sensors
Abstract: In this contribution is presented the method of choice of the right sensor.
Material of Target: What is the material composition of the object (metallic, non-metallic, solid, liquid, granular)?
Although inductive sensors have rather short sensing distances (typically 1mm up to about 50mm) compared to other sensing technologies, they have some strong advantages: a) they ignore all materials except metal (e.g. water, oil, non-metallic dust) b) they are very robust physically and c) they are relatively inexpensive.
In: World Academy of Science, Engineering and Technology. - ISSN 2010-376X. - Iss. 65.
In: Proceedings of the Manufacturing Science. - ISSN 1843-2522. - MSE 2009 : Proceedings of the 4th international conference on manufacturing science and education.
Material of Target: What is the material composition of the object (metallic, non-metallic, solid, liquid, granular)?
Although inductive sensors have rather short sensing distances (typically 1mm up to about 50mm) compared to other sensing technologies, they have some strong advantages: a) they ignore all materials except metal (e.g. water, oil, non-metallic dust) b) they are very robust physically and c) they are relatively inexpensive.
In: World Academy of Science, Engineering and Technology. - ISSN 2010-376X. - Iss. 65.
In: Proceedings of the Manufacturing Science. - ISSN 1843-2522. - MSE 2009 : Proceedings of the 4th international conference on manufacturing science and education.
Online since: December 2011
Authors: Xin Xin Li, Xue Ying Song, Yan Wang, Xiao Jun Hu
Materials and Methods
Soil, manure, diesel oil and microbial strains.
A similar investigation by Cho et al. on bioremediation of oil-contaminated soil of Kuwait with soil amendment materials confirmed the above findings[6].
Acknowledgements We gratefully acknowledge for the grant of National Natural Science Foundation of China (No.41101289; 20807029) and the National Science and Technology Supporting Project (No. 2011BAJ06B02).
Maslennikov, Plant adaptation to oil stress, Russian journal of ecology. 35(2004) 290 -295
Tsuji, Laboratory-scale bioremediation of oil-contaminated soil of Kuwait with soil amendment materials, Chemosphere. 35(1997) 1599-1611
A similar investigation by Cho et al. on bioremediation of oil-contaminated soil of Kuwait with soil amendment materials confirmed the above findings[6].
Acknowledgements We gratefully acknowledge for the grant of National Natural Science Foundation of China (No.41101289; 20807029) and the National Science and Technology Supporting Project (No. 2011BAJ06B02).
Maslennikov, Plant adaptation to oil stress, Russian journal of ecology. 35(2004) 290 -295
Tsuji, Laboratory-scale bioremediation of oil-contaminated soil of Kuwait with soil amendment materials, Chemosphere. 35(1997) 1599-1611
Online since: July 2008
Authors: Z. Fan, Shao Ming Zhang, Bi Cheng Yang, Jun Xu, Li Kai Shi
Experimental
1.1 Materials
In this study, commercially available magnesium alloy AZ31 in the form of ingots was used as
experimental metals, whose chemical compositions are shown in Table 1.
Acknowledgements This research was financially supported by The International Science and Technology Cooperation Initiative of the Ministry of Science and Technology of China (No. 2006DFA52110) and by the National Key Basic Research Foundation of China (973 Program), No. 2006CB605203.
Materials Science and Engineering A, 2005, 413-414: p72-78 [2] A.K.Dahle, Y.C.Lee, Mark D et al.
Development of the as-cast microstructure in magnesiumaluminum alloys Journal of Light Metals 1, 2001:p61-72 [3] M.R.Barnett, Z.Keshavarz A.G.Beer, Influence of grain size on the compressive deformation of Wrought Mg-3Al-1Zn.
Materials Science and Engineering A 2003, 360; p107-115
Acknowledgements This research was financially supported by The International Science and Technology Cooperation Initiative of the Ministry of Science and Technology of China (No. 2006DFA52110) and by the National Key Basic Research Foundation of China (973 Program), No. 2006CB605203.
Materials Science and Engineering A, 2005, 413-414: p72-78 [2] A.K.Dahle, Y.C.Lee, Mark D et al.
Development of the as-cast microstructure in magnesiumaluminum alloys Journal of Light Metals 1, 2001:p61-72 [3] M.R.Barnett, Z.Keshavarz A.G.Beer, Influence of grain size on the compressive deformation of Wrought Mg-3Al-1Zn.
Materials Science and Engineering A 2003, 360; p107-115
Online since: May 2011
Authors: Pei Jun Shen, Wei Zhong Ding, Hai Hai Wang, Zhen Geng, Xu Liu, Yu Ding Zhou, Shao Qing Huang
Performance of BaCo0.7Fe0.2Nb0.1O3-δ membrane under CO2-containing atmosphere for CCS application
PeiJun Shen1, a, WeiZhong Ding1, b, HaiHai Wang1, c, Zhen Geng1, d, Xu Liu1,e, YuDing Zhou1,f, ShaoQing Huang1,g
1Shanghai Key Laboratory of Modern Metallurgy and Materials Processing, Shanghai University, 149 Yanchang Road, Shanghai, 200072, People’s Republic of China
ashenpeijun@shu.edu.cn, bwzhding@shu.edu.cn, cwanghh05@163.com, dyoungknight@163.com, eliuxu0351@163.com, f zyd12131213@shu.edu.cn, e huangshao1984@163.com
Keywords: BaCo0.7Fe0.2Nb0.1O3-δ; Carbon dioxide; Stability; Oxygen permeation
Abstract Mixed ionic-electronic conducting BaCo0.7Fe0.2Nb0.1O3-δ perovskite is a newly developed promising ceramic membrane material.
Starting raw materials were ball milled in ethanol using zirconia grinding media for 24hrs and calcined at 1223K for 10hrs.
The MIEC perovskite materials must maintain the perovskite structure under working conditions to ensure the stable oxygen permeation flux.
After annealed under pure oxygen, minute hexagonal structure is appeared in the sample, which illustrates a suitable level of oxygen vacancy in compound would stabilize the cubic phase of material.
Fig.1 X-ray diffraction patterns of BaCo0.7Fe0.2Nb0.1O3-δ powder a. calcined in air at 1373K for 10hrs; b~e. annealed in atmosphere at 1123K for 100hrs (b. pure oxygen; c. pure helium; d. 10%CO2+Air; e. 10%CO2+Ar); f~g. annealed in atmosphere at 1123K for 2hrs (f. 10%CO2+Ar; g. 3%H2+Ar) Influence of CO2 on oxygen permeation The effects of CO2 on the oxygen desorption properties of BaCo0.7Fe0.2Nb0.1O3-δ materials were investigated by O2-TPD under CO2-containing atmosphere.
Starting raw materials were ball milled in ethanol using zirconia grinding media for 24hrs and calcined at 1223K for 10hrs.
The MIEC perovskite materials must maintain the perovskite structure under working conditions to ensure the stable oxygen permeation flux.
After annealed under pure oxygen, minute hexagonal structure is appeared in the sample, which illustrates a suitable level of oxygen vacancy in compound would stabilize the cubic phase of material.
Fig.1 X-ray diffraction patterns of BaCo0.7Fe0.2Nb0.1O3-δ powder a. calcined in air at 1373K for 10hrs; b~e. annealed in atmosphere at 1123K for 100hrs (b. pure oxygen; c. pure helium; d. 10%CO2+Air; e. 10%CO2+Ar); f~g. annealed in atmosphere at 1123K for 2hrs (f. 10%CO2+Ar; g. 3%H2+Ar) Influence of CO2 on oxygen permeation The effects of CO2 on the oxygen desorption properties of BaCo0.7Fe0.2Nb0.1O3-δ materials were investigated by O2-TPD under CO2-containing atmosphere.
Online since: December 2012
Authors: Donato Cancellara, Fabio de Angelis
[13] De Angelis, F., Multifield potentials and derivation of extremum principles in rate plasticity, Materials Science Forum, Vol. 539-543, pp. 2625-2630, (2007)
[17] De Angelis, F., Computational issues in rate dependent plasticity models, Advanced Materials Research, Vol. 566, pp. 70-77, (2012)
[18] De Angelis, F., Computational aspects in the elasto/viscoplastic material behavior of solids, Advanced Materials Research, Vol. 567, pp. 192-199, (2012)
[19] De Angelis, F., Numerical algorithms for J2 viscoplastic models, Advanced Materials Research, Vol. 567, pp. 267-274, (2012)
[21] De Angelis, F., Cancellara, D., Implications due to different loading programs in inelastic materials, Advanced Material Research, Vol. 422, pp. 726-733, (2012)
[17] De Angelis, F., Computational issues in rate dependent plasticity models, Advanced Materials Research, Vol. 566, pp. 70-77, (2012)
[18] De Angelis, F., Computational aspects in the elasto/viscoplastic material behavior of solids, Advanced Materials Research, Vol. 567, pp. 192-199, (2012)
[19] De Angelis, F., Numerical algorithms for J2 viscoplastic models, Advanced Materials Research, Vol. 567, pp. 267-274, (2012)
[21] De Angelis, F., Cancellara, D., Implications due to different loading programs in inelastic materials, Advanced Material Research, Vol. 422, pp. 726-733, (2012)
Online since: November 2015
Authors: F. Pacheco-Torgal, José Barroso de Aguiar, Z. Abdollahnejad
Jalali, Toxicity of Building Materials.
Materials Research 17 (2014), 10
Key Engineering Materials 634 (2015) 113-120
Journal of Cleaner Production 68 (2014) 226-233
Construction and Building Materials 80, 18-30.
Materials Research 17 (2014), 10
Key Engineering Materials 634 (2015) 113-120
Journal of Cleaner Production 68 (2014) 226-233
Construction and Building Materials 80, 18-30.