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Online since: January 2007
Authors: Mok Soon Kim, Won Yong Kim, Taek Kyun Jung, Dong Suk Lee
Effect of Cu and Mg on Forging Property and Mechanical Behavior of Powder Forged Al-Si-Fe Based Alloy Dong-Suk Lee1,a, Taek-Kyun Jung1,b , Mok-Soon Kim 1.c and Won-Yong Kim 2,d 1 School of Materials Science and Engineering, Inha University, 253 Yonghyun-dong, Nam-gu, Incheon 402-751, Korea 2 Advanced Materials R&D Center, Korea Institute of Industrial Technology, 994-32 Dongchundong, Yeonsu-gu, Incheon 406-130, Korea a abbass@hanmail.net, cmskim@inha.ac.kr Keywords: Al-Si-Fe based alloy, powder forging, mechanical behavior Abstract.
Forum Vol. 305/306 (1999), p. 739
Online since: June 2010
Authors: Shuichi Miyazaki, Hideki Hosoda, Yasuhiro Kusano, Tomonari Inamura, Hiroyasu Kanetaka
Phase Constitution and Mechanical Properties of Ti-(Cr, Mn)-Sn Biomedical Alloys Yasuhiro Kusano1,a , Tomonari Inamura 1,b, Hiroyasu Kanetaka2,c, Shuichi Miyazaki 3,d and Hideki Hosoda 1,e 1 Precision and Intelligence Laboratory, Tokyo Institute of Technology, 4259-R2-27, Midori-ku, Yokohama 226-8503, Japan 2 Department of Physical Medicine and Rehabilitation, Graduate School of Biomedical Engineering, Tohoku University, 4-1, Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan 3 Institute of Materials Science, University of Tsukuba, Tennodai 1-1-1, Tsukuba, Ibaraki 305-8573, Japan a kusano.y.aa@m.titech.ac.jp, binamura.t.aa@m.titech.ac.jp, ckanetaka@m.tains.tohoku.ac.jp, d miyazaki@ims.tsukuba.ac.jp, ehosoda.h.aa@m.titech.ac.jp Keywords: Ti-Cr-Sn, biomedical alloy, phase, mechanical properties Abstract.
New Research and Development of Shape Memory Alloy for Advanced Functional and Bio-Materials, SMA Symp., Association of Shape Memory Alloy, Yokohama, Japan (2009), p.22
Forum.
Online since: March 2006
Authors: Taek Kyun Jung, Mok Soon Kim, Won Yong Kim, Dong Suk Lee
Fabrication and Properties of High Strength Al-8Fe-2Mo-2V-1Zr Alloy Produced by Melt Spinning Techniques Taek-Kyun Jung1, Dong-Suk Lee1, Mok-Soon Kim 1,a and Won-Yong Kim 2,b 1 School of Materials Science and Engineering, Inha University, 253 Yonghyun-dong, Nam-gu, Incheon 402-751, Korea 2 Advanced Materials R&D Center, Korea Institute of Industrial Technology, 994-32 Dongchun-dong, Yeonsu-gu, Incheon 406-130, Korea a mskim@inha.ac.kr, bwykim@kitech.re.kr Keywords: Al-Fe-TM alloy, Melt spinning, Solid solution hardening, Hot extrusion Abstract.
Forum, Vol.439 (2003), p.314 [4] J.C.
Online since: August 2007
Authors: Zafer Tatli, Adem Demir, F. Caliskan
A non-deficiency of initial raw material for the synthesis of silicon nitride-based materials opens the wide prospects of its application in many fields of engineering [1- 3]. β-SiAlON can be prepared over a wide range of composition with (0 < z - 4:2).
Riley (Ed.): Nitrogen Ceramics, NATO Advanced Study Institutes Applied Science, series No. 23, Noordholf International, Leyden, (1974) [2] R.
Forum Vol. 9 (1972), p.148 [7] N.
Online since: July 2006
Authors: Nicolas Kamp, A. Sullivan, Joseph D. Robson
Forum this volume (2006)
Advanced Engineering Materials 3(8), 579-586 (2001).
Online since: December 2011
Authors: Jing He Liu, Xue Jian Zhang, Chun Li, Ying Zhang, Hai Lin, Liang Gu, Guang Tian Zou
Study on Growth and Crack of Yb:YAG Laser Crystal ZHANG Xuejian1,2,a, LI Chun3,4,a, ZHANG Ying3,4,a , LIN Hai3,4,a, GU Liang3,4,a, LIU Jinghe3,4,b, ZOU Guang tian1,c 1.Jilin University,Changchun , 130012, china 2.Jilin Architectural and civil Engineering institute, Changchun 130118, china 3.Changchun University of Science and Technology,Changchun 130022, china 4.chang chun chang li guang dian ji shu you xian gong si,130022, china azxj_0620@163.com, bliu_jinghe@yahoo.com.cn, c gtzou@jlu.edu.cn Keywords: Yb:YAG crystal; Czochralski method; Crack analysis.
Forum Vol. 83-87 (1992), p. 119 [2] M.A.
Mishing, in: Diffusion Processes in Advanced Technological Materials, edtied by D.
Online since: December 2014
Authors: Cai Yin You, Xiao Dong Fan, Na Tian
Influence of Nd Doping on the Magnetic Properties of Nd2Fe14B/α-Fe Nanocomposite Magnets Xiao-dong Fana, Na Tianb, Cai-yin Youc School of Materials Science and Engineering, Xi’an University of Technology, Shaanxi Xi’an 710048, China a fanxiaodong@stu.xaut.edu.cn, b tianna@xaut.edu.cn, c caiyinyou@xaut.edu.cn Keywords: Nd2Fe14B/α-Fe nanocomposite magnets, Mechanically ball milling, Interface tuning, Maximum magnetic energy product Abstract.
Xie: Materials Science Forum, Vols 475-479 (2005), p.2165 [5] M.
Hono: Advanced Materials, Vol. 24 (2012) No.48, p.6530 [14] Z.S.
Online since: August 2008
Authors: Marize Varella de Oliveira, Anderson Camargo Moreira, Carlos R. Appoloni, Luiz Carlos Pereira, Waléria Silva de Medeiros
Dunand: Advanced Engineering Materials Vol. 6 (2004), p. 369
Fórum Vols. 530-531 (2006) p. 22
Online since: December 2014
Authors: Yun Yang Ye, Peng Yue, Hua Zhang, Hua Jing Sha
Development of Testing Platform for Building Shading Device Peng Yue1,a, Hua Zhang1,b, Yunyang Ye2,c, Huajing Sha2,d 1Shanghai Research Institute of Building Science, Shanghai, China 2School of Mechanical and Energy Engineering, Tongji University, Shanghai, China ayuepenger@sina.com, bzhanghua6891@163.com, cyunyangye@163.com, d584617495@qq.com Keywords: Shading coefficient, Artificial light sources, Test, Simulation Abstract.
Forum Vol. 83-87 (1992), p. 119 [2] M.A.
Mishing, in: Diffusion Processes in Advanced Technological Materials, edtied by D.
Online since: November 2012
Authors: Mei Hong Liu, Jun Ruo Chen, Zhen Hua Li, Yu Xian Li
The Classification of Non-Asbestos Gasket Formulation Using Clustering Method Meihong Liu*1,a, Zhenhua Li2,b, YuXian Li1,c, Junruo Chen1,d 1 Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, Yunnan, 650093, China 2 Department of Material Science and Technoloty, Kunming University of Science and Technology, Kunming, Yunnan, 650093, China a lmhust@yahoo.com.cn(corresponding author), b lzhkust@gmail.com, c yuxian_0000@yahoo.com.cn, d chenhuadeyouxiang01@yahoo.com.cn Keywords: PNN network, LVQ network, SOM network, the non-asbestos gaskets formula, classification Abstract.
“Supervised” know classes in advance, and then inputs were classified into these classes in the network.
But “Unsupervised” don’t know classes at all in advance, inputs were classified different classes on their own [5].
Electronic Industry Press, (2005) [7] Matlab Chinese Forum. 30 Examples Analysis of Neural Network in Matlab.