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Online since: January 2017
Authors: Yan Wei, Hong Zhong Cai, Xiao Hong Qi, Chang Yi Hu, Jun Mei Guo, Xu Xiang Zhang, Xu Zheng
Joining of Cf/SiC ceramics to nimonic alloys, Journal of Materials Engineering and Performance. 21(2002) 683-689
Shpargel, Brazing of ceramic-matrix composites to Ti and Hastealloy using Ni-base metallic glass interlayers, Materials Science and Engineering A. 498(2008) 19-30
Zhang et al, Brazing of Carbon Fiber- reinforced SiC Composite and TC4 Using Ag-Cu-Ti Active Brazing Alloy, Materials Science and Engineering A. 527(2010) 1096-1101
[19] Lei Zhang, Wenqing Qu, Hongshou Zhuang, The Joining of Carbon-Fiber Reinforced Composite Material and Metals and the Test on Property Test of Joint, Journal of Materials Engineering. s1(2007) 141-147
[24] Qiaoying Tong, Laifei Cheng, Litong Zhang, Liquid infiltration joining of C/SiC and Nb, Journal of Aeronautical Materials. 24(2004) 53-58
Shpargel, Brazing of ceramic-matrix composites to Ti and Hastealloy using Ni-base metallic glass interlayers, Materials Science and Engineering A. 498(2008) 19-30
Zhang et al, Brazing of Carbon Fiber- reinforced SiC Composite and TC4 Using Ag-Cu-Ti Active Brazing Alloy, Materials Science and Engineering A. 527(2010) 1096-1101
[19] Lei Zhang, Wenqing Qu, Hongshou Zhuang, The Joining of Carbon-Fiber Reinforced Composite Material and Metals and the Test on Property Test of Joint, Journal of Materials Engineering. s1(2007) 141-147
[24] Qiaoying Tong, Laifei Cheng, Litong Zhang, Liquid infiltration joining of C/SiC and Nb, Journal of Aeronautical Materials. 24(2004) 53-58
Online since: December 2013
Authors: Wen Zhi He, Shu Guang Zhu
It is reported that renovated LiCoO2 may indeed provide high quality grade recycled materials [1, 10].
Materials and methods Materials.
Han: Journal of Power Sources.
Fouad: Journal of Materials Processing Technology.
Lee: Journal of Power Sources.
Materials and methods Materials.
Han: Journal of Power Sources.
Fouad: Journal of Materials Processing Technology.
Lee: Journal of Power Sources.
Online since: January 2011
Authors: Chun An Tang, Yu Jun Zuo, Shu Cai Li, Qing Yun Chen
Introduction
The dynamic mechanical response of rock materials is important to grant the required level of protection to important constructions such as the military and mining structure.
Li: Key Engineering Materials Vol. 353-358(2007), p. 256 [2] J.
Kaneko: International Journal of Rock Mechanics and Mining Sciences Vol. 41 (2004), p. 771 [4] C.A.
Lee: International Journal of Rock Mechanics and Mining Sciences, Vol. 37(4) (2000), p. 555 [5] W.C.
Tang: International Journal of Rock Mechanics and Mining Sciences, Vol. 43(2) (2006), p. 236
Li: Key Engineering Materials Vol. 353-358(2007), p. 256 [2] J.
Kaneko: International Journal of Rock Mechanics and Mining Sciences Vol. 41 (2004), p. 771 [4] C.A.
Lee: International Journal of Rock Mechanics and Mining Sciences, Vol. 37(4) (2000), p. 555 [5] W.C.
Tang: International Journal of Rock Mechanics and Mining Sciences, Vol. 43(2) (2006), p. 236
Online since: January 2015
Authors: Agnieszka Sękala, Anna Danuta Dobrzańska-Danikiewicz, Jacek Trzaska, Adam Jagiełło
The paper presents new, possible applications of artificial neural networks in the field of materials science and material engineering in relation to other artificial intelligence methods known and applied in this area.
Numerous researches over the last decade, pursued at the Institute of Engineering Materials and Biomaterials of the Silesian University of Technology, have been relating to the application of neural networks for modeling and simulating different concepts in the field of materials science and engineering [1–3].
Trzaska, Application of neural network for the prediction of continuous cooling transformation diagrams, Computational Materials Science 30(3–4) (2014) 251–259
Trzaska, Modeling of the optimum heat treatment conditions of Mg-Al-Zn magnesium cast alloys, International Journal Computational Materials Science and Surface Engineering 1(5) (2007) 540–554
Labisz, Neural networks aided future events scenarios presented on the example of laser surface treatment, Archives of Materials Science and Engineering 51(2) (2011) 69–96.
Numerous researches over the last decade, pursued at the Institute of Engineering Materials and Biomaterials of the Silesian University of Technology, have been relating to the application of neural networks for modeling and simulating different concepts in the field of materials science and engineering [1–3].
Trzaska, Application of neural network for the prediction of continuous cooling transformation diagrams, Computational Materials Science 30(3–4) (2014) 251–259
Trzaska, Modeling of the optimum heat treatment conditions of Mg-Al-Zn magnesium cast alloys, International Journal Computational Materials Science and Surface Engineering 1(5) (2007) 540–554
Labisz, Neural networks aided future events scenarios presented on the example of laser surface treatment, Archives of Materials Science and Engineering 51(2) (2011) 69–96.
Online since: June 2014
Authors: Matthias Hartmann, Kevin Anders
Energy absorption phenomena in materials depend on the combination of material and geometry on a macro scale level.
The ultimate aim herein is to determine an optimised geometry setup to characterise different aluminium casting materials.
Introduction Ductility is one prerequisite for the application of cast materials in crash events.
Journal of Applied Mechanics, 50:727 – 734, 1983
International Journal of Mechanical Sciences, 25(9–10):687 – 696, 1983.
The ultimate aim herein is to determine an optimised geometry setup to characterise different aluminium casting materials.
Introduction Ductility is one prerequisite for the application of cast materials in crash events.
Journal of Applied Mechanics, 50:727 – 734, 1983
International Journal of Mechanical Sciences, 25(9–10):687 – 696, 1983.
Online since: June 2013
Authors: Christian Detrois, Markus Stommel, Johannes Zimmer
One of the advantages of PET compared to other materials is the strain hardening effect due to molecular orientation at high strain ratios.
Related investigations have been done for different materials than PET.
C.: Constitutive modeling of the finite strain behavior of amorphous polymers in and above the glass transition, Mechanics of Materials, Vol. 39, 39-52, Jan, 2007
Y. et al.: Biaxial characterisation of materials for thermoforming and blow moulding, Plastics Rubber and Composites, Vol. 34, 276-282, 2005
P.: Evolution of strain localization in glassy polymers: A numerical study, International Journal of Solids and Structures, Vol. 46, 1607-1623, 2009
Related investigations have been done for different materials than PET.
C.: Constitutive modeling of the finite strain behavior of amorphous polymers in and above the glass transition, Mechanics of Materials, Vol. 39, 39-52, Jan, 2007
Y. et al.: Biaxial characterisation of materials for thermoforming and blow moulding, Plastics Rubber and Composites, Vol. 34, 276-282, 2005
P.: Evolution of strain localization in glassy polymers: A numerical study, International Journal of Solids and Structures, Vol. 46, 1607-1623, 2009
Online since: October 2014
Authors: Ming Zhu Wang, Wei Yu, Xing Xing
Currently highly efficient and stable nanofluids, thermal interface materials, phase change material and high thermal conductivity composite materials have been studied extensively and deeply and become effective measures to solve this problem.
The Graphene Thermal Interface Materials.
Typical thermal interface materials can be divided into the following categories: thermal grease, thermal gel, phase change materials and metal thermal interface materials.
Choi, Enhancing thermal conductivity of fluids with nanoparticales, developments and applications of non-Newton flows, Applied Physics A:Materials Science & Processing, 1995, 66: 99-105
Journal of engineering thermal physics,2013(9):1749-1751.
The Graphene Thermal Interface Materials.
Typical thermal interface materials can be divided into the following categories: thermal grease, thermal gel, phase change materials and metal thermal interface materials.
Choi, Enhancing thermal conductivity of fluids with nanoparticales, developments and applications of non-Newton flows, Applied Physics A:Materials Science & Processing, 1995, 66: 99-105
Journal of engineering thermal physics,2013(9):1749-1751.
Online since: March 2005
Authors: J.L. Ruiz-Herrero, Jose A. de Saja, Miguel A. Rodríguez-Pérez
Materials and Method.
The materials used were a variety of polyethylene based closed cell foams.
Montanini, International Journal of Impact Engineering 25(2001) 455-472 [4] Mechanical behaviour of closed cell plastic foams used as cushioning materials, J.
Mizrahi, Journal of Applied Polymer Science Vol. 38, 281-290(1989)
[5] Prediction of dynamic properties of plastic foams from constant strain rate measurements, Ori Ramon, Joseph Miltz, Journal of applied Polymer Science; Vol 40,1683-1692 (1990)
The materials used were a variety of polyethylene based closed cell foams.
Montanini, International Journal of Impact Engineering 25(2001) 455-472 [4] Mechanical behaviour of closed cell plastic foams used as cushioning materials, J.
Mizrahi, Journal of Applied Polymer Science Vol. 38, 281-290(1989)
[5] Prediction of dynamic properties of plastic foams from constant strain rate measurements, Ori Ramon, Joseph Miltz, Journal of applied Polymer Science; Vol 40,1683-1692 (1990)
Online since: October 2024
Authors: Nicolae Trihenea, Vlad-Ștefan Constantin, Denis Andrei Predu
For applications where material diversity is critical, the limited range of materials may be a hindrance [22].
Dental Materials, 2011, 27.4: 356-363
Journal of Manufacturing and Materials Processing, 2021, 5.3: 85
Journal of Manufacturing Science and Engineering, 2019, 141.2: 021019
JOURNAL OF MATERIALS SCIENCE AND ENGINEERING.
Dental Materials, 2011, 27.4: 356-363
Journal of Manufacturing and Materials Processing, 2021, 5.3: 85
Journal of Manufacturing Science and Engineering, 2019, 141.2: 021019
JOURNAL OF MATERIALS SCIENCE AND ENGINEERING.
Online since: October 2015
Authors: S. Alexraj, P. Vijaya Rajan, A. Saravanapandi Solairajan, Godwin Jose
International Journal of Engineering, Science and Technology, Vol. 3, No. 4, pp. 103-118
International Journal of Engineering, Science and Technology, Vol. 3, No. 6, pp. 161-171
‘Modeling and analysis for surface roughness and material removal rate inmachining of UD-GFRP using PCD tool’. .International Journal of Engineering, Science and Technology, Vol. 3, No. 8, pp. 248-270
International Journal of Materials Processing Technology, Vol. 36, No. (1-2), pp. 19-27
Composite Materials,5, 94-106
International Journal of Engineering, Science and Technology, Vol. 3, No. 6, pp. 161-171
‘Modeling and analysis for surface roughness and material removal rate inmachining of UD-GFRP using PCD tool’. .International Journal of Engineering, Science and Technology, Vol. 3, No. 8, pp. 248-270
International Journal of Materials Processing Technology, Vol. 36, No. (1-2), pp. 19-27
Composite Materials,5, 94-106