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Online since: May 2016
Authors: Jean Njoroge, Arnab Chakrabarty, Tahir Çağın
Shockwave Response of Polymer and Polymer Nanocomposites Jean Njoroge1,b, Arnab Chakrabarty2,c and Tahir Cagin1,2,a 1Department of Materials Science and Engineering, Texas A&M University, College Station, Texas, 77843-3003, USA 2Department of Chemical Engineering, Texas A&M University, College Station, Texas, 77843-3022, USA atcagin@tamu.edu, bjnjoroge@tamus.edu, carnabc@gmail.com, cbedri.arman@chemail.tamu.edu Keywords: computational materials science, nanocomposites, dynamic response, shock waves, graphene, polyurathene Abstract.
[3] Meyers, M.A., Dynamic Behavior of Materials. 1994, New York: John Wiley
[6] Kasparek, E., et al., Computational Materials Science, 2011. 50(4): p. 1353-1358
[15] Veca, L.M., et al., Advanced Materials, 2009. 21(20): p. 2088-2092
[17] Grujicic, M., et al., Materials Science and Engineering: A, 2011. 528(10-11): p. 3799-3808
Online since: September 2016
Authors: Maria A. Vasilyeva
Zaborski, Magnetorheological materials based on ethylene-octene elastomer, Polymer. 59 (2014) 825-833
Park, Effects of waste ground fluororubbervulcanizate powders on the properties of silicone rubber/fluororubber blends, Journal of applied polymer science. 127 (2013) 561-569
Krause, Magnetoactive liquid crystal elastomer nanocomposites, Journal of materials chemistry. 19 (2009) 538-543
Punzhin, Metallic muscles and beyond: nanofoams at work, Journal of materials science. 51 (2016) 615-634
Krasucki, Modeling of smart materials with thermal effects: Dynamic and quasi-static evolution, Mathematical models & methods in applied sciences. 25 (2015) 2633-2667
Online since: March 2014
Authors: Ying Li, Wen Juan Gu, Zheng Yong Cheng, Wen Chao Gu, Sheng Zhang
Permeability of Packaging Materials Sheng Zhang1, Wenchao Gu2, Zhengyong Cheng1, Wenjuan Gu1, a*, Ying Li1, 1Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Chenggong, Kunming City, China 2School of Tourism and Geographical Science, Yunnan Normal University, Kunming City, China a*guwenjuan@whu.edu.cn Keywords: packaging material, permeability, barrier, food packaging Abstract.
Several commonly used packaging materials were researched in this paper.
Permeability of Packaging Materials The Gas Permeability.
The moisture-resistance property depends on the packaging materials.
[3] Oi-Wah Lau, Siu-Kay Wong, Contamination in food from packaging material, Journal of Chromatography A, 882 (2000) 255–270
Online since: November 2020
Authors: Djoko Sihono Gabriel, Angga Ananditto
The higher quality of recycled plastic pellets proposed as the higher functionality of the materials according to its use-ability as raw materials [15].
New York: Science
Materials & Design 62 (2014), 189-198
Endthen: Material Value Conservation: Development of Design Criteria for Rigid Plastic Packaging, Materials Science Forum, vol. 936 (2018), pp. 110-115
Nurcahyo: Impact of Plastic Packaging Design on the Sustainability of Plastic Recyclers, International Journal of Applied Science and Engineering (2019). 16, 1: 25-33.
Online since: October 2018
Authors: Xiao Lei Wu, Jin Jing Du, Na Ni Ma, Man Bo Liu, Li Si Liang
[11].Ma S K,Yang J,Wu B B.Effects of MPP on the Sound Absorptive Property of Porous Materials[J].Journal of Qingdao University(Natural Science Edition). 2016,29(3):79-82,88
Journal of Mechanical Engineering. 2016,52(13):68-78
Chinese Journal of Raremetals. 2015,39(1):49-54
Acoustic manual[M].Beijing Science Press,2004
Noise control[M].Beijing Science Press,1987.
Online since: December 2004
Authors: Chuan Zhen Huang, Sui Lian Wang, Han Lian Liu, Li Qiang Xu
Materials Science Forum Vols. *** (2004) pp.401-404 online at http://scientific.net  2004 Trans Tech Publications, Switzerland Research Status Quo of Simulation Design Methods for Ceramic Tool Materials L.Q.
With the development of material and computer science, the higher requirement of the industry on ceramic materials, the computer aided design of ceramic materials is highly imperative.
Currently, Advances in Materials Manufacturing Science and Technology 402 they are mainly used in the areas such as pattern recognition and classification, function approximation, data compressing and predicting etc.
Mukherjee: Computational Material Science Vol. 5 (1996), p. 307 [2] N.
He: Materials for Mechanical Engineering Vol. 26 (2002), p. 7 [4] J.Q.
Online since: June 2006
Authors: Algirdas Vaclovas Valiulis
Teaching of Materials and Welding Engineering to Today's Postgraduate Mechanical Engineers A.
Valiulis Department of Materials Science and Welding, Vilnius Gediminas Technical University, Basanaviciaus 28, LT-03227 Vilnius, Lithuania Algirdas.valiulis@adm.vtu.lt Keywords: materials engineering, welding engineering, modeling of physical processes.
A particular example is the combining in one study program, studies of different engineering and structural materials (including composite materials, ceramics, polymers, etc.) and methods and technologies of brazing, joining by welding, bonding by glue, etc of these materials.
Valiulis: Materials Science, Vol. 6, No 3, Kaunas, Technologija (2000), p. 163 [5] L.
Višniakov: Materials Science, Vol. 9, No 2, Kaunas, Technologija (2003), p. 164
Online since: June 2017
Authors: Jia Liang Zhou, Heng Xue Xiang, Mahgoub Osman Montaser, Mohamed Nourrein, Chong Li, Bin Sun, Mei Fang Zhu
Preparation PET Hybrided Materials by In Situ Polymerization for Delustered Fibers Mahgoub Osman Montasera, Jialiang Zhoub, Mohamed Nourreinc, Chong Lid, Hengxue Xiange, Bin Sunf*, Meifang Zhug* State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China amontaserali1987@gmail.com, bzjl19871217@126.com, cnourrein2000@hotmail.com, d897837544@qq.com, ehengxyexiang@163.com, fsunbin@dhu.edu.cn, gzhumf@dhu.edu.cn Keywords: Hybrid materials, PET, TiO2, Dull fiber, In Situ polymerization.
Experimental Materials.
Synthesis and non-isothermal crystallization behavior of PET/surface-treated TiO2 nanocomposites, Journal of Macromolecular Science, Part B, 2008, 47(6): 1117
Nucleation effect of surface treated TiO2 on Poly (trimethylene terephthalate)(PTT) nanocomposites, Journal of applied polymer science, 2013, 127(3): 1909
Crystallization behavior and UV‐protection property of PET‐ZnO nanocomposites prepared by in situ polymerization, Journal of applied polymer science, 2009, 114(2): 1303.
Online since: September 2013
Authors: Hang Zhou, Rui Qian Li
Green material includes cycle materials, scavenging materials, green polymer materials, green biological materials, green nanometer materials and so on.
Journal of Shandong University of Technology (Natural Science Edition), 24(2009)107-110
Science and Technology Management Research, 19( 2010)156-157
Journal of Central South University (Social Science),4( 2009)523-532
Journal of Shanghai Lixin University of Commerce, 5(2008)39-46
Online since: July 2008
Authors: Wen Feng Xu, Xiao Ling Liao, Zhi Qiang Gao
Application of artificial neural network to forecast the tensile fatigue life of carbon material Xiaoling Liaoa , Wenfeng Xub , Zhiqiang Gaoc Chemistry and Environment Science Department, Chongqing University of Arts and Sciences, Chongqing 402160, China a zxc_228@163.com; b xwf_228@163.com; cgzq@cqwu.net Keywords: Artificial neural network, carbon materials, tensile fatigue life, forecast Abstract: Artificial neural network (ANN) is widely applied to the modeling of complex systems, which has become a common modeling method in the study of materials science.
As the ideal candidates for high temperature structural materials, carbon materials are no doubt involved in fatigue loads, so the study on forecasting fatigue life is meaningful.
As preferred high-temperature structural materials, the potential applications for carbon materials are bound to involve fatigue loading.
At the same time, artificial neural network (ANN) is widely applied to the modeling of complex systems, and now it has become a common modeling method in the study of materials science, but the reports using ANN to forecast the fatigue life of material are few.
Journal of Materials Processing Technology, 2002,(122):196-200 Cycle/n Applied stress/MPa �R/Ro/% Fig.4 The network trainrecord of forecast Import Adjusting error Connect error of every nerve cell Target value Export Fig.3 The study sketch of ANN Compare
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