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Online since: February 2022
Authors: Hanna A. Al-Kaisy, Mohanad N. Al-Shroofy, Ghofran Dhafer
Al-Kaisy3,c
1,2,3Department of Materials Engineering / University of Technology, Bagdad, Iraq.
Huang: submitted to Journal of materials engineering and performance (2012)
Wang: submitted to Journal of Materials Chemistry (2013). https://doi.org/10.13023/ETD.2017.296 [7] A.
Miola: submitted to Materials (2019)
Dhara: submitted to Materials Science and Engineering (2019)
Huang: submitted to Journal of materials engineering and performance (2012)
Wang: submitted to Journal of Materials Chemistry (2013). https://doi.org/10.13023/ETD.2017.296 [7] A.
Miola: submitted to Materials (2019)
Dhara: submitted to Materials Science and Engineering (2019)
Online since: May 2013
Authors: Jun Ping Meng, Ping Zhang, Xin Peng Nie, You Hua Wang
Inner insulation materials mainly include transformer oil, oil-paper and paper card.
Resistivity of materials is influenced by many factors such as temperature, humidity, electric field strength and time of power voltage, which results in nonlinearity of electrical field distributions under DC voltage.
In a word, electrical field distributions are resistive and imposed voltage of insulation materials is direct ratio with resistivity.
Electrical field distributions under AC voltage are mainly influenced by dielectric constant of insulation materials, effect on the constant by outside factors is very small, because the difference of the constant is very small.
Electrical field distributions of high-voltage windings are computed, whose superimposed voltage ratio of AC and DC is 1:3, and ratio of dielectric constant of insulation materials is 2:3:4.
Resistivity of materials is influenced by many factors such as temperature, humidity, electric field strength and time of power voltage, which results in nonlinearity of electrical field distributions under DC voltage.
In a word, electrical field distributions are resistive and imposed voltage of insulation materials is direct ratio with resistivity.
Electrical field distributions under AC voltage are mainly influenced by dielectric constant of insulation materials, effect on the constant by outside factors is very small, because the difference of the constant is very small.
Electrical field distributions of high-voltage windings are computed, whose superimposed voltage ratio of AC and DC is 1:3, and ratio of dielectric constant of insulation materials is 2:3:4.
Online since: February 2008
Authors: Jun Guo Ran, Bao Hui Su, Bao Yue Su, Jing Chun Su
Experimental
Materials.
Due to the formation of bone-like apatite on the surfaces of materials is the key factor of the materials having bioactivities [2,3].
The XPS results also indicate that the treated materials compare with untreated materials, the surfaces form more bone-like apatite; the modification increases the bioactivity of the materials, which helps the formation and growth of the bone.
Hench, J Wilson: Science Vol. 226 (1984), p. 630
Chen: Journal of Biomedical Engineering Vol.19 (2002), p. 33.
Due to the formation of bone-like apatite on the surfaces of materials is the key factor of the materials having bioactivities [2,3].
The XPS results also indicate that the treated materials compare with untreated materials, the surfaces form more bone-like apatite; the modification increases the bioactivity of the materials, which helps the formation and growth of the bone.
Hench, J Wilson: Science Vol. 226 (1984), p. 630
Chen: Journal of Biomedical Engineering Vol.19 (2002), p. 33.
Online since: November 2019
Authors: T.P. Jeevan, S.R. Jayaram, P.S. Suvin, Prasanna Vineeth Bharadwaj
Study of Tribological characteristics of vegetable-based cutting fluids is essential to understand the behaviour of various materials under different operating lubrication conditions.
The complexity of predicting the wear and frictional performance of the materials motivates the tribologist to adopt an artificial neural network (ANN) approach, as it can be used to make such predictions with caution [7].
American Journal of Engineering Research 6(3), (2017), 176-181
International journal of forecasting 14, no. 1 (1998): 35-62
Journal of clinical epidemiology 49, no. 11 (1996): 1225-1231
The complexity of predicting the wear and frictional performance of the materials motivates the tribologist to adopt an artificial neural network (ANN) approach, as it can be used to make such predictions with caution [7].
American Journal of Engineering Research 6(3), (2017), 176-181
International journal of forecasting 14, no. 1 (1998): 35-62
Journal of clinical epidemiology 49, no. 11 (1996): 1225-1231
Online since: June 2016
Authors: Y.R. Saputra, Sunardi Sunardi, Tutik Sriani, Gunawan Setia Prihandana, Panji Prihandoko
Journal of the Mechanical Behavior of Biomedical Materials.
Fundamentals of Materials Science and Engineering, Fifth Edition.
Arifvianto et al. / Materials Chemistry and Physics 125 (2011) 418–426
Nakanishi et al. / Materials Science and Engineering A 460–461 (2007) 186–194
Muthukumaran et al. / Materials and Design 31 (2010) 2813–2817
Fundamentals of Materials Science and Engineering, Fifth Edition.
Arifvianto et al. / Materials Chemistry and Physics 125 (2011) 418–426
Nakanishi et al. / Materials Science and Engineering A 460–461 (2007) 186–194
Muthukumaran et al. / Materials and Design 31 (2010) 2813–2817
Online since: June 2007
Authors: Koji Mimura, Isamu Riku
Ko: Journal of Cellular Plastics, Vol. 1, pp. 45-50, (1965)
Finnie: Journal of Materials, Vol. 5, pp. 909-932, (1970)
Gibson: International Journal of Mechanical Sciences, Vol. 39, pp. 549-563, (1997)
Tanaka: European Journal of Mechanics-A/Solids, Vol. 16, pp. 745-755, (1997)
Argon: Mechanics of Materials, Vol. 7, pp. 15-33, (1988)
Finnie: Journal of Materials, Vol. 5, pp. 909-932, (1970)
Gibson: International Journal of Mechanical Sciences, Vol. 39, pp. 549-563, (1997)
Tanaka: European Journal of Mechanics-A/Solids, Vol. 16, pp. 745-755, (1997)
Argon: Mechanics of Materials, Vol. 7, pp. 15-33, (1988)
Online since: October 2009
Authors: Le Hua Qi, Xiang Hui Zeng, Hua Huang, Xiao Shan Jiang, Yuan Xiao
Introduction
Droplet-based rapid prototyping is an additive manufacturing technique where objects are built
from molten materials in a single operation without a mold or other tooling.
As we know, the surface tension, melting temperature, latent heat of solidification, and thermal conductivity of A2024 are higher than those of other low-melting-point materials.
Smith: Journal of Manufacturing Science and Engineering.
Tiegang and C.Sanjeev: Journal of Materials Processing Technology.
Park: Rapid Prototyping Journal.
As we know, the surface tension, melting temperature, latent heat of solidification, and thermal conductivity of A2024 are higher than those of other low-melting-point materials.
Smith: Journal of Manufacturing Science and Engineering.
Tiegang and C.Sanjeev: Journal of Materials Processing Technology.
Park: Rapid Prototyping Journal.
Online since: September 2013
Authors: Aziguli Wulamu, Tao Hong Zhang, Shou Gang Xu, Rui Wu Xin, De Zheng Zhang
Modeling and Simulation of degradation for Biodegradable Polymer Based on Cellular Automata (CA)
Taohong Zhang1,2, a, Shougang Xu1,2,b, Ruiwu Xin3,c , Dezheng Zhang1,2,d
and Aziguli Wulamu1,2,e*
1School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB), Beijing, 100083, China
2Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, 100083, China
3Jurong Ontuo Technology Co.
Introduction Biodegradable polymer materials (e.g.: PLA, PGA and its copolymers) as a series of common and important biological materials have a wide range of medical applications for humans.
Acknowledgements This paper is supported by the 2012 Ladder Plan Project of Beijing Key Laboratory of Knowledge Engineering for Materials Science (No.
Journal of Controlled Release, Vol.15 (1991), p.95–104
Journal of Oral and Maxillofacial Surgery, Vol.64 (2006), p.31–39
Introduction Biodegradable polymer materials (e.g.: PLA, PGA and its copolymers) as a series of common and important biological materials have a wide range of medical applications for humans.
Acknowledgements This paper is supported by the 2012 Ladder Plan Project of Beijing Key Laboratory of Knowledge Engineering for Materials Science (No.
Journal of Controlled Release, Vol.15 (1991), p.95–104
Journal of Oral and Maxillofacial Surgery, Vol.64 (2006), p.31–39
Online since: August 2019
Authors: Asep Suhandi, Rudi Rachmat, Lydia Anggraini
The results of this study are expected to improve product quality with copper-iron metal powder as a raw materials.
Fundamentals of modern manufacturing: materials, processes and systems, 4th ed.
USA : Progress in Materials Science
Journal Sintered Fe-Cu-C materials.
Thailand : Journal science.
Fundamentals of modern manufacturing: materials, processes and systems, 4th ed.
USA : Progress in Materials Science
Journal Sintered Fe-Cu-C materials.
Thailand : Journal science.
Online since: July 2014
Authors: You Shan Wang, Si Chi Chen, Zhi Min Xie
Relaxation properties of the Solid Propellant Based on Hydroxyl-Terminated Polybutadiene
Zhimin Xiea, Sichi Chenb, Youshan Wangc
National Key Laboratory of Science and Technology on Advanced Composites in Special Environment, Center for Composite Materials, Harbin Institute of Technology, Harbin 150001, P.R.
The polymer-based propellant is a typical viscoelastic material.
Two experimental methods, quasi-static extension and dynamic mechanical analysis (DMA), are commonly used to measure the relaxation properties of the viscoelastic materials [3-5].
Journal of Solid Rocket Technology, 2006 29 (3) 190-194.
Some approximate equations useful in the phenomenological treatment of linear viscoelastic data [J].Journal of Colloid Science. 1959 14 (1) 36-48.
The polymer-based propellant is a typical viscoelastic material.
Two experimental methods, quasi-static extension and dynamic mechanical analysis (DMA), are commonly used to measure the relaxation properties of the viscoelastic materials [3-5].
Journal of Solid Rocket Technology, 2006 29 (3) 190-194.
Some approximate equations useful in the phenomenological treatment of linear viscoelastic data [J].Journal of Colloid Science. 1959 14 (1) 36-48.