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Online since: August 2011
Authors: Xiao Yan Zeng, Ze Min Wang, Chang Wen Peng, Kai Guan, Guang Xia Chen
Methods and materials.
Wu:Materials Science and Engineering A Vol.445–446 (2007):P.461 [6] J.P.
Lauwers:Journal of Materials Processing Technology, Vol.149 (2004) ,P.616 [7] L.
Wong: Materials Research Bulletin, Vol.35(2000),P.1555 [8] J.L.
Hu:Journal of Materials Processing Technology, Vol.187–188 (2007),P.614 [9] H.H.
Wu:Materials Science and Engineering A Vol.445–446 (2007):P.461 [6] J.P.
Lauwers:Journal of Materials Processing Technology, Vol.149 (2004) ,P.616 [7] L.
Wong: Materials Research Bulletin, Vol.35(2000),P.1555 [8] J.L.
Hu:Journal of Materials Processing Technology, Vol.187–188 (2007),P.614 [9] H.H.
Online since: August 2015
Authors: Pitak Laoratanakul, Sirithan Jiemsirilers, Anut Saikrasoon
Materials Science and Engineering: A, 2011. 528(21): p. 6616-6623
Journal of Materials Science Letters, 2002. 21(22): p. 1573-1575 [7] Sepulveda, P., Evaluation of the In Situ Polymerisation Kinetics for the Gelcasting of Ceramic Foams.
Chemistry of Materials.
Chemistry of Materials 2001. 13(11): p. 3882-3887
Materials Chemistry and Physics, 2009. 113(1): p. 441-444
Journal of Materials Science Letters, 2002. 21(22): p. 1573-1575 [7] Sepulveda, P., Evaluation of the In Situ Polymerisation Kinetics for the Gelcasting of Ceramic Foams.
Chemistry of Materials.
Chemistry of Materials 2001. 13(11): p. 3882-3887
Materials Chemistry and Physics, 2009. 113(1): p. 441-444
Online since: October 2010
Authors: Guerold Sergueevitch Bobrovinitchii, Marcello Filgueira, Sérgio Neves Monteiro, Ana Lúcia Diegues Skury, Rômulo Crespo Tardim
Novikov, et al.: Journal of Superhard Materials Vol. 6 (2004), p. 3.
5.
:Journal of Materials Science Vol. 17 (3) (1982), p. 193. 6.
Dewar: Journal of Materials Science Vol. 10 (11) (1975), p. 1933. 7.
Vovtchanovsky: Journal of Superhard Materials Vol. 2 (1983), p. 3. 10.
Mitlikin: Journal of Superhard Materials Vol. 5 (1980), p. 29. 20.
:Journal of Materials Science Vol. 17 (3) (1982), p. 193. 6.
Dewar: Journal of Materials Science Vol. 10 (11) (1975), p. 1933. 7.
Vovtchanovsky: Journal of Superhard Materials Vol. 2 (1983), p. 3. 10.
Mitlikin: Journal of Superhard Materials Vol. 5 (1980), p. 29. 20.
Online since: July 2003
Authors: Zhongmin Deng, Yibing Zhao, You Shi Hong
The
corresponding curves have been used to simulate the materials contact surface.
Block material is 40Cr, and materials parameters are E=212GPa, �=0.28 and yield strength = 780MPa.
CN m =σ , (2) where m and C are materials constants.
Fig.9 Materials loss weights vs.
The numerical results agree with wear experiments of the materials.
Block material is 40Cr, and materials parameters are E=212GPa, �=0.28 and yield strength = 780MPa.
CN m =σ , (2) where m and C are materials constants.
Fig.9 Materials loss weights vs.
The numerical results agree with wear experiments of the materials.
Online since: July 2012
Authors: Meysam Rahmat, Pascal Hubert
Nanocomposites are composite materials with inclusions (i.e., fibres or particles) on the order of nanometres.
Gorga, et al., The importance of interfacial design at the carbon nanotube/polymer composite interface, Journal of Applied Polymer Science, 102 (2) (2006) 1413
Liang, et al., Investigation of molecular interactions between (10, 10) single-walled nanotube and Epon 862 resin/DETDA curing agent molecules, Materials Science and Engineering A, 365 (1-2) (2004) 228
Gates, et al., Computational materials: Multi-scale modeling and simulation of nanostructured materials, Composites Science and Technology, 65 (15-16 SPEC ISS) (2005) 2416
Yakobson, et al., High strain rate fracture and C-chain unraveling in carbon nanotubes, Computational Materials Science, 8 (4) (1997) 341
Gorga, et al., The importance of interfacial design at the carbon nanotube/polymer composite interface, Journal of Applied Polymer Science, 102 (2) (2006) 1413
Liang, et al., Investigation of molecular interactions between (10, 10) single-walled nanotube and Epon 862 resin/DETDA curing agent molecules, Materials Science and Engineering A, 365 (1-2) (2004) 228
Gates, et al., Computational materials: Multi-scale modeling and simulation of nanostructured materials, Composites Science and Technology, 65 (15-16 SPEC ISS) (2005) 2416
Yakobson, et al., High strain rate fracture and C-chain unraveling in carbon nanotubes, Computational Materials Science, 8 (4) (1997) 341
Online since: April 2012
Authors: Dong Lai Xu, Zhong Yu Lu, Qiang Xu, Li Li An
Firstly, it briefly introduces the background of creep damage for P91 materials.
To analyze the complex of creep deformation and rupture, the creep damage constitutive equations should be able to depict the behaviour of material, especially for predicting the lifetime of materials, within the frame work of continuum damage mechanics (CDM).
Starr, International journal of pressure vessels and piping, 84, P.114-122, (2007) [2] A.
Hyde, et al, Materials Science Forum, 440 – 441, ,(2003), P. 465-474 [18] T.
Yaguchi, Materials Science and Engineering, A 510-511, (2009), P.238-243 [19] T.
To analyze the complex of creep deformation and rupture, the creep damage constitutive equations should be able to depict the behaviour of material, especially for predicting the lifetime of materials, within the frame work of continuum damage mechanics (CDM).
Starr, International journal of pressure vessels and piping, 84, P.114-122, (2007) [2] A.
Hyde, et al, Materials Science Forum, 440 – 441, ,(2003), P. 465-474 [18] T.
Yaguchi, Materials Science and Engineering, A 510-511, (2009), P.238-243 [19] T.
Online since: October 2010
Authors: Bao Jian Zhang, Fu Gui Chen, Jun Hui Fu
Mathematical Neural Networks(Ⅱ)-Learning Algorithms Of Mathematical
Neural Networks [J].Journal Of Beijing Normal University(Natural Science),1997,(3):35-42
[2] LIU Nai-sen.
Journal of Anhui Agricultural Sciences, 2006,(23) [3] ZHANG Ying-mei.
Artificial Neural Network and Its Application in Forecasting Diseases and Pests of Wheat and Other Crops .Acta Tritical Crops, 2002,(04) [4] YAO Shuwen. the research of the artificial neural network algorithm and its application in molten salt and alloy phase[D], shanghai institute of metallurgy,academy of iciences of china,1996 [5] CHEN Yunbo.Application of Artificial Neural Networks in Iron and Steel Materials Research.Materials Review, 2009,(07) [6] HU Guangyi.
Distributed rainfall interpolation using BPANN .Journal of Huazhong University of Science and Technology(Nature Science Edition),2009,(04) [7] ZHAO Xin-li.Performance evaluation model of knowledge production based on BP neural network .Computer Integrated Manufacturing Systems, 2007,(7) [8] ZHANG Cai.
Strip flatness pattern recognition based on genetic algorithms-back propagation model.Journal of Central South University(Science and Technology), 2006,(02)
Journal of Anhui Agricultural Sciences, 2006,(23) [3] ZHANG Ying-mei.
Artificial Neural Network and Its Application in Forecasting Diseases and Pests of Wheat and Other Crops .Acta Tritical Crops, 2002,(04) [4] YAO Shuwen. the research of the artificial neural network algorithm and its application in molten salt and alloy phase[D], shanghai institute of metallurgy,academy of iciences of china,1996 [5] CHEN Yunbo.Application of Artificial Neural Networks in Iron and Steel Materials Research.Materials Review, 2009,(07) [6] HU Guangyi.
Distributed rainfall interpolation using BPANN .Journal of Huazhong University of Science and Technology(Nature Science Edition),2009,(04) [7] ZHAO Xin-li.Performance evaluation model of knowledge production based on BP neural network .Computer Integrated Manufacturing Systems, 2007,(7) [8] ZHANG Cai.
Strip flatness pattern recognition based on genetic algorithms-back propagation model.Journal of Central South University(Science and Technology), 2006,(02)
Online since: July 2012
Authors: Anucha Wannagon, Apinon Nuntiya, Supakorn Silakate
Effect of Concentration of Iron Oxide on Crystallization Behavior in Leadless Iron Oxide Crystalline Glaze
Supakorn Silakate1,a, Anucha Wannagon2,b and Apinon Nuntiya3,c
1Department of Physics and Materials Science Faculty of Science,
Chiang Mai University Chiang Mai, Thailand
2National Metal and Materials Technology Center (MTEC),
Thailand Science Park Pathumthani, Thailand
3Department of Industrial Chemistry Faculty of Science,
Chiang Mai University Chiang Mai, Thailand
assilakate@gmail.com, banuchaw@mtec.or.th, cnuntiyaapinon@gmail.com
Keywords: Leadless glaze, Iron oxide, Crystallization, Crystal growth
Abstract.
The glaze raw materials were ground for homogeneous mixtures by ball milling for 24h.
The glaze raw materials were ground for homogeneous mixtures by ball milling for 24h.
Acknowledgements The authors would like to acknowledge Department of Industrial Chemistry and Department of Physics and Materials Science, Faculty of Science and Graduate School, Chiang Mai University, Thailand and Thailand Graduate Institute of Science and Technology (TGIST), National Science and Technology Development Agency (NSTDA) for the Ph.D.
Program Thai Doctoral degree for chemical materials and financial support of this work.
The glaze raw materials were ground for homogeneous mixtures by ball milling for 24h.
The glaze raw materials were ground for homogeneous mixtures by ball milling for 24h.
Acknowledgements The authors would like to acknowledge Department of Industrial Chemistry and Department of Physics and Materials Science, Faculty of Science and Graduate School, Chiang Mai University, Thailand and Thailand Graduate Institute of Science and Technology (TGIST), National Science and Technology Development Agency (NSTDA) for the Ph.D.
Program Thai Doctoral degree for chemical materials and financial support of this work.
Online since: July 2012
Authors: Ali Bahari, R. Gholipur, Z. Khorshidi
Li, “Growth of a stacked silicon nitride / silicon oxide dielectric on Si(100)”, Journal of Vacuum Science and Technology B, 24 (2006) 2119
Li, “Roads to ultrathin silicon oxides”, Journal of Vacuum Science and Technology A, 23 (2005) 201
Schroder, “Semiconductor material and device characterization”, John Wiley & Sons, (2006)
Anthony, “High-k gate dielectrics: Current status and materials properties considerations”, Journal of Applied Physics, 89 (2001) 5243-5275
Nishide, “Material microcharacterization of sol–gel derived HfO2 thin films on silicon wafers”, Japanese Journal of Applied Physics, 43 (2004) 6992–6993
Li, “Roads to ultrathin silicon oxides”, Journal of Vacuum Science and Technology A, 23 (2005) 201
Schroder, “Semiconductor material and device characterization”, John Wiley & Sons, (2006)
Anthony, “High-k gate dielectrics: Current status and materials properties considerations”, Journal of Applied Physics, 89 (2001) 5243-5275
Nishide, “Material microcharacterization of sol–gel derived HfO2 thin films on silicon wafers”, Japanese Journal of Applied Physics, 43 (2004) 6992–6993
Online since: June 2010
Authors: Syed H. Masood, W.Q. Song, Kalpeshkumar Mau
Moreover, there are a variety of FDM systems available in the market with different range of build
parameters, build materials, build speed and build volumes.
Pregger, 'Effect of Layer Orientation on Mechanical Properties of Rapid Prototyped Samples', Materials and Manufacturing Processes (USA), Vol. 15, No. 1, Jan. 2000, pp. 107-122
Montero, Dan Odell, Shad Roundy and Paul K.Wright, 'Anisotropic Material Properties of Fused Deposition Modelling ABS', Rapid Prototyping Journal, Vol. 8(4), 2002, pp. 248-257
Khan, 'Optimization of rapid prototyping parameters for production of Flexible ABS object', Journal of Material Processing Technology, vol. 169, 2005, pp. 54-61
[6] CES EduPack, "CES Selector; Materials Property Database", Granta Material Intelligence, 2009, Cambridge, UK.
Pregger, 'Effect of Layer Orientation on Mechanical Properties of Rapid Prototyped Samples', Materials and Manufacturing Processes (USA), Vol. 15, No. 1, Jan. 2000, pp. 107-122
Montero, Dan Odell, Shad Roundy and Paul K.Wright, 'Anisotropic Material Properties of Fused Deposition Modelling ABS', Rapid Prototyping Journal, Vol. 8(4), 2002, pp. 248-257
Khan, 'Optimization of rapid prototyping parameters for production of Flexible ABS object', Journal of Material Processing Technology, vol. 169, 2005, pp. 54-61
[6] CES EduPack, "CES Selector; Materials Property Database", Granta Material Intelligence, 2009, Cambridge, UK.