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Online since: April 2014
Authors: Jun Fen Sun, Wei Ye Cao
Strontium-substituted Hydroxyapatitenanocrystals Synthesized in
Ultrasonic field: use for protein adsorption
Weiye Cao1, a, Junfen Sun1, 2, b*
1College of Material Science & Engineering, Donghua University, North People Rd. 2999, Songjiang, Shanghai 201620, China
2State Key Laboratory for modification of Chemical Fibers and Polymer Materials, Donghua University, North People Rd. 2999, Songjiang, Shanghai 201620, China
acwy19890203@163.com, bjunfensun@dhu.edu.cn
Keywords: Hydroxyapatite, Protein adsorption, Ultrasonic field, Strontium-substitution.
Ultrasonic chemistry is a new boundary science.
Hideki, Science and Medical Applications of Hydroxyapatite, Tokyo: Japanese Association of Apatite Science, 1992: 137
Liu, Barium hydroxyapatite nanoparticles synthesized by citric acid sol–gel combustion method, Materials Research Bulletin. 40(2005) 1617–1622
Prkge, Applications of ultrasound to materials chemistry, Anny Rev Mater Sci. 229(1999) 295-326
Ultrasonic chemistry is a new boundary science.
Hideki, Science and Medical Applications of Hydroxyapatite, Tokyo: Japanese Association of Apatite Science, 1992: 137
Liu, Barium hydroxyapatite nanoparticles synthesized by citric acid sol–gel combustion method, Materials Research Bulletin. 40(2005) 1617–1622
Prkge, Applications of ultrasound to materials chemistry, Anny Rev Mater Sci. 229(1999) 295-326
Online since: April 2008
Authors: Mark Hoffman, N. Samat, Alan Whittle
Hoffman
3,c
1
School of Materials Science and Engineering,
University of New South Wales Sydney, NSW 2052, Australia
2
Iplex Pipelines Australia Ltd, Chipping Norton, NSW
a
z3145562@student.unsw.edu.au, balan.whittle@iplexpipelines.com.au,
c
mark.hoffman@unsw.edu.au
Keywords: Fatigue threshold, PVC-U, PVC-M, air, water, fibrillar structure, nodules structure
Abstract: The cyclic fatigue threshold value (∆Kth) of PVC materials with (PVC-M) and without
(PVC-U) impact modifier was determined and compared in air and water environments.
(a) (b) Fig. 1: The fatigue crack growth rate of PVC-U at (a) 1 Hz and (b) 7Hz in air and water (a) (b) Fig.2: The fatigue crack growth rate of PVC-M at (a) 1 Hz and (b) 7Hz in air and water Fig. 3: The fatigue crack growth rate of PVC-U and PVC-M at 20 Hz in air Table 1: The fatigue threshold values of PVC-U and PVC-M in water and air medium Fatigue Threshold [MPa.m 1/2] Author Material Specimen Form R-ratio [R=Kmin/Kmax] Frequency [Hz] air water 1 0.19 0.22 7 0.22 0.24 Present Work PVC-M CT 0.1 20 0.24 - 1 0.22 0.23 7 0.24 0.23 Present Work PVC-U CT 0.1 20 0.24 - 0 - 0.5 5 0.25-0.15 [1] PVC-U SEN ≥0.5 5 0.15 - [3] PVC-U SEN 0.1 and 0.5 5 0.21 0.15 (a) (b) Fig. 4: FESEM micrographs of (a)PVC-U and (b)PVC-M at ∆K < 0.26 MPa.m1/2 in air at 7Hz (a) (b) Fig. 5: FESEM micrographs of (a)PVC-U and (b)PVC-M at ∆K < 0.26 MPa.m1/2 in water at 7Hz
Arnold: Journal of Materials Science.
(a) (b) Fig. 1: The fatigue crack growth rate of PVC-U at (a) 1 Hz and (b) 7Hz in air and water (a) (b) Fig.2: The fatigue crack growth rate of PVC-M at (a) 1 Hz and (b) 7Hz in air and water Fig. 3: The fatigue crack growth rate of PVC-U and PVC-M at 20 Hz in air Table 1: The fatigue threshold values of PVC-U and PVC-M in water and air medium Fatigue Threshold [MPa.m 1/2] Author Material Specimen Form R-ratio [R=Kmin/Kmax] Frequency [Hz] air water 1 0.19 0.22 7 0.22 0.24 Present Work PVC-M CT 0.1 20 0.24 - 1 0.22 0.23 7 0.24 0.23 Present Work PVC-U CT 0.1 20 0.24 - 0 - 0.5 5 0.25-0.15 [1] PVC-U SEN ≥0.5 5 0.15 - [3] PVC-U SEN 0.1 and 0.5 5 0.21 0.15 (a) (b) Fig. 4: FESEM micrographs of (a)PVC-U and (b)PVC-M at ∆K < 0.26 MPa.m1/2 in air at 7Hz (a) (b) Fig. 5: FESEM micrographs of (a)PVC-U and (b)PVC-M at ∆K < 0.26 MPa.m1/2 in water at 7Hz
Arnold: Journal of Materials Science.
Online since: January 2014
Authors: Zhi Wu Zhang, Bin Yu, Shang Guo Zhou, Hui Li
Due to multiple episodes of gold mineralization and multiple sources materials in ore-forming, there are heated debates on the era of the mine, and the main mineralization age of the Gupao gold deposit is focused on the Caledonian or Early Yanshanian.
The mineralization of it formed in several stages and its mineralizing materials originated from multiple sources [4, 5].
Journal of Guilin University of Technology, Vol. 8(2) (1988), p. 125-132
Geological Science and Technology Information,Vol. 23(2)(2004), p. 37-44
Earth Science, Vol. 25(4) (2000), p. 352-361
The mineralization of it formed in several stages and its mineralizing materials originated from multiple sources [4, 5].
Journal of Guilin University of Technology, Vol. 8(2) (1988), p. 125-132
Geological Science and Technology Information,Vol. 23(2)(2004), p. 37-44
Earth Science, Vol. 25(4) (2000), p. 352-361
Online since: January 2018
Authors: Enkhnaran Uyanga, Deleg Sangaa, Namsrai Tsogbadrakh, Baatartsogt Khongorzul, Narmandakh Jargalan, Hideyuki Hirazawa
Therefore, the huge interest on the miniaturization of these materials can be easily understood.
We can classify bulk materials on the basis of these interactions and their influence on the materials behavior in response to magnetic fields at different temperatures (e.g. ferromagnetism, ferrimagnetism, etc.).
Indeed, bulk materials basically contain multiple magnetic domains due to their large size.
Selection of ferrite powder for thermal coagulation therapy with alternating magnetic field, Journal of materials science, 2005, 40, 135 – 138
Science and Technology, 2013, 20, 2323-23331
We can classify bulk materials on the basis of these interactions and their influence on the materials behavior in response to magnetic fields at different temperatures (e.g. ferromagnetism, ferrimagnetism, etc.).
Indeed, bulk materials basically contain multiple magnetic domains due to their large size.
Selection of ferrite powder for thermal coagulation therapy with alternating magnetic field, Journal of materials science, 2005, 40, 135 – 138
Science and Technology, 2013, 20, 2323-23331
Online since: August 2011
Authors: David John Smith, Christopher E. Truman, Ed J. Kingston, Sayeed Hossain
The temperature dependent mechanical and physical material properties for 316L stainless steel used in the analyses are detailed in [7].
The effect of phase transformation on residual stress and distortion was not considered important for the stainless steel material.
[2] Kingston, E.J., Stefanescu, D., Mahmoudi, A.H., Truman, C.E., Smith, D.J., Journal of ASTM International, April 2006, Vol. 3, No.3
Ozel, International Journal of Mechanical Sciences, 42(10): 2013-2029, 2000
Smith, Materials Science and Engineering A 373 (1–2): 339–349, 2004
The effect of phase transformation on residual stress and distortion was not considered important for the stainless steel material.
[2] Kingston, E.J., Stefanescu, D., Mahmoudi, A.H., Truman, C.E., Smith, D.J., Journal of ASTM International, April 2006, Vol. 3, No.3
Ozel, International Journal of Mechanical Sciences, 42(10): 2013-2029, 2000
Smith, Materials Science and Engineering A 373 (1–2): 339–349, 2004
Online since: June 2009
Preface
This special issue contains selected papers presented at the Symposium on
Synthesis and Properties of Surface Coatings, which is part of the 6
th
International Conference on Materials Processing for Properties and
Performance (MP
3-2007).
The MP3-2007 conference, held on 13-16 Sept 2007, at the Beijing International Convention Centre, China, was organized by The Institute of Materials, East Asia, co-organized by Beihang University and the Institute of Solid State Physics, Chinese Academy of Science.
These manuscripts have been peer reviewed in similar rigour for a standard journal publication by more than 30 reviewers.
The MP3-2007 conference, held on 13-16 Sept 2007, at the Beijing International Convention Centre, China, was organized by The Institute of Materials, East Asia, co-organized by Beihang University and the Institute of Solid State Physics, Chinese Academy of Science.
These manuscripts have been peer reviewed in similar rigour for a standard journal publication by more than 30 reviewers.
Online since: June 2012
Authors: Yu Hang Ren, Mo Ran Sun, Chun Hua Zhang, Song Zhang, Fang Hu
Effects of RE on the Friction and Abrasion Character of Porcelain Enamel Coating
Song Zhanga, Yuhang Ren, Moran Sun, Fang Hu, Chunhua Zhang
School of Materials Science and Engineering, Shenyang University of Technology, Shenyang, 110870, China
a songzhang_sy@yahoo.com.cn
Keywords: Ti alloys, Electrophoresis coating, Enamel coating, Friction and abrasion
Abstract.
Materials and methods Materials and samples preparation.
Basis materials in this paper is a Ti alloy, its nominal composition are (at.%): Al 10, Sn 1.94, Zr 1.05, Mo 0.5, Nd 0.33, Si 0.55, Ti the rest.
Cut the Ti alloy basis materials in hemicycle samples of Φ10mm×2.5mm and use No 600 metallographical sand paper to polish the surface of the samples.
Journal of Shenyang University of Technology Vol. 32(2010), p. 136-140
Materials and methods Materials and samples preparation.
Basis materials in this paper is a Ti alloy, its nominal composition are (at.%): Al 10, Sn 1.94, Zr 1.05, Mo 0.5, Nd 0.33, Si 0.55, Ti the rest.
Cut the Ti alloy basis materials in hemicycle samples of Φ10mm×2.5mm and use No 600 metallographical sand paper to polish the surface of the samples.
Journal of Shenyang University of Technology Vol. 32(2010), p. 136-140
Online since: August 2014
Authors: Aditya Balu, Amit Kumar Gupta, Swadesh Kumar Singh, Nitin Kotkunde
The beginning of intelligent theories and methods has been provided many promising results in the field of materials science simulation [7].
[7] Madakasira Prabhakar Phaniraj, Ashok Kumar Lahiri, “The applicability of neural network model to predict flow stress for carbon steels”, Journal of Materials Processing Technology 141 (2003) 219–227
Lin a, Jun Zhang , Jue Zhong, “Application of neural networks to predict the elevated temperature flow behavior of a low alloy steel”, Computational Materials Science 43 (2008) 752–758
[9] Li Ping , Xue Kemin , Lu Yan, Tan Jianrong, “Neural network prediction of flow stress of Ti–15–3 alloy under hot compression”, Journal of Materials Processing Technology 148 (2004) 235–238
[10] Yanchun Zhu, Weidong Zeng , Yu Sun, Fei Feng, Yigang Zhou, “Artificial neural network approach to predict the flow stress in the isothermal compression of as-cast TC21 titanium alloy”, Computational Materials Science 50 (2011) 1785–1790.
[7] Madakasira Prabhakar Phaniraj, Ashok Kumar Lahiri, “The applicability of neural network model to predict flow stress for carbon steels”, Journal of Materials Processing Technology 141 (2003) 219–227
Lin a, Jun Zhang , Jue Zhong, “Application of neural networks to predict the elevated temperature flow behavior of a low alloy steel”, Computational Materials Science 43 (2008) 752–758
[9] Li Ping , Xue Kemin , Lu Yan, Tan Jianrong, “Neural network prediction of flow stress of Ti–15–3 alloy under hot compression”, Journal of Materials Processing Technology 148 (2004) 235–238
[10] Yanchun Zhu, Weidong Zeng , Yu Sun, Fei Feng, Yigang Zhou, “Artificial neural network approach to predict the flow stress in the isothermal compression of as-cast TC21 titanium alloy”, Computational Materials Science 50 (2011) 1785–1790.
Online since: October 2013
Authors: Li Jun Hou, Bao Dong Shao, He Ming Cheng, Jian Yun Li, Jie Hou
In numerical calculation, the thermal physical properties of material were treated as the function of temperature.
Acknowledgements This project has been supported by the Province Natural Science Foundation of Yunnan (2007A00152) and the Youth Natural Science Foundation of Kunming University of Science and Technology (2006-33).
[2] WANG Jing, CHEN Nailu, ZHANG Weimin, YUAN Jian, Numerical simulation of heat transfer coefficient during gas quenching process, Materials & Heat Treatment, Heat Machining Technics. 36(2007)70-75
[5] Heming Cheng, Jianbin Xie, Jianyun Li, Determination of surface heat-transfer coefficients of steel cylinder with phase transformation during gas quenching with high pressures, Computational Materials Science. 29 (2004) 453–458
[6] DONG Dashan, SUN Ruzhong, QIAO Zhen, Using DEFORM for numerical simulation of CCT curve, Journal of Shanghai Maritime University. 31 (2010) 61-65.
Acknowledgements This project has been supported by the Province Natural Science Foundation of Yunnan (2007A00152) and the Youth Natural Science Foundation of Kunming University of Science and Technology (2006-33).
[2] WANG Jing, CHEN Nailu, ZHANG Weimin, YUAN Jian, Numerical simulation of heat transfer coefficient during gas quenching process, Materials & Heat Treatment, Heat Machining Technics. 36(2007)70-75
[5] Heming Cheng, Jianbin Xie, Jianyun Li, Determination of surface heat-transfer coefficients of steel cylinder with phase transformation during gas quenching with high pressures, Computational Materials Science. 29 (2004) 453–458
[6] DONG Dashan, SUN Ruzhong, QIAO Zhen, Using DEFORM for numerical simulation of CCT curve, Journal of Shanghai Maritime University. 31 (2010) 61-65.
Online since: June 2014
Authors: Yan Dong, Sheng Zhong, Li Jing Gong, Fan Ren Fang
The strain produced new biosurfactant and it has very strong emulsification activity for hydrophobic materials.
Ding:Journal of Applied Microbiology. 112 (2012)660-671
Journals. 20(2007)430-440
[5] Ylenia Pecci, Fabrizio Rivardo, Maria: Journal of Mass Spectrometry .2010, pp. 772–778
[8] Wei Wu ,Yang Wang, Li Que: European Journal of Pharmaceutics and Biopharmaceutics. 63(2006)288-294.
Ding:Journal of Applied Microbiology. 112 (2012)660-671
Journals. 20(2007)430-440
[5] Ylenia Pecci, Fabrizio Rivardo, Maria: Journal of Mass Spectrometry .2010, pp. 772–778
[8] Wei Wu ,Yang Wang, Li Que: European Journal of Pharmaceutics and Biopharmaceutics. 63(2006)288-294.