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Online since: August 2013
Authors: Yan Zhang, Hai Wei Xie
The Impact on Building Materials.
In order to reduce the damage of acid rain to building materials, many scholars at home and abroad studied about the corrosion mechanism and anticorrosion materials.
Environmental Science Vol. 12 (1992), p. 28.
Journal of Rare Earths Vol. 18 (2000), p. 298
Environmental Science of China Vol. 18 (1998), p. 8.
In order to reduce the damage of acid rain to building materials, many scholars at home and abroad studied about the corrosion mechanism and anticorrosion materials.
Environmental Science Vol. 12 (1992), p. 28.
Journal of Rare Earths Vol. 18 (2000), p. 298
Environmental Science of China Vol. 18 (1998), p. 8.
Online since: June 2015
Authors: J.R Deepak
[10] Bupesh Raja.V.K, J.R.Deepak, “Surface Engineering of Ti6Al4V Alloy – A case study” International Journal of Composite materials and Manufacturing ISSN 2249-4030(2012) Oct, Vol 02, No 03
[11] Lutjering.
[30] L.A.Dobrzanski, “Laser surface treatment of Magnesium alloys with Aluminium oxide powder”, Journal of Achievements in Materials and Manufacturing Engineering, Vol.37, Issue.1, Nov-2009
[31] Yilbas.B.S, Sunar.M “Laser gas assisted nitriding and tin coating of Ti-6Al-4V alloy: Experimental and numerical investigation of mechanical properties”, Journal of materials processing technology 209 (2009) 1199-1208
[32] A.Lisiecki, “Diode laser gas nitriding of Ti6Al4V alloy”, Archives of materials science and engineering, Volume – 31, Issue – 1, May 2008, Page 53-56
[33] Filip.R, “Laser nitriding of the surface layer of Ti6Al4V titanium alloy”, Archives of materials science and engineering, Volume – 30, Issue – 1, March 2008, Page 25-28
[30] L.A.Dobrzanski, “Laser surface treatment of Magnesium alloys with Aluminium oxide powder”, Journal of Achievements in Materials and Manufacturing Engineering, Vol.37, Issue.1, Nov-2009
[31] Yilbas.B.S, Sunar.M “Laser gas assisted nitriding and tin coating of Ti-6Al-4V alloy: Experimental and numerical investigation of mechanical properties”, Journal of materials processing technology 209 (2009) 1199-1208
[32] A.Lisiecki, “Diode laser gas nitriding of Ti6Al4V alloy”, Archives of materials science and engineering, Volume – 31, Issue – 1, May 2008, Page 53-56
[33] Filip.R, “Laser nitriding of the surface layer of Ti6Al4V titanium alloy”, Archives of materials science and engineering, Volume – 30, Issue – 1, March 2008, Page 25-28
Online since: October 2013
Authors: Pei Ying Liu, Zhi Hong Jiang
Wood-plastic composite is a kind of viscoelastic materials.
The dynamic viscoelastic behavior of materials is represented by storage modulus, loss modulus, tanδ and so on, which are functions of temperature.
Materials and Methods The WPC was manufactured using a formulation composed of bamboo flours, PVC, heat stabilizer, lubricant and foaming agent.
The fact is that all kinds of materials with different bamboo flours levels present the same variation trend.
[5] Jungil Son.Understanding the Viscoelastic Properties of Extruded Polypropylene Wood Plastic Composites.Journal of Applied Polymer Science,Vol.89,1638-1644(2003) [6] Nielson L.E.
The dynamic viscoelastic behavior of materials is represented by storage modulus, loss modulus, tanδ and so on, which are functions of temperature.
Materials and Methods The WPC was manufactured using a formulation composed of bamboo flours, PVC, heat stabilizer, lubricant and foaming agent.
The fact is that all kinds of materials with different bamboo flours levels present the same variation trend.
[5] Jungil Son.Understanding the Viscoelastic Properties of Extruded Polypropylene Wood Plastic Composites.Journal of Applied Polymer Science,Vol.89,1638-1644(2003) [6] Nielson L.E.
Online since: August 2011
Authors: S. Plaza, Jose Antonio Sánchez, N. Ortega, Inigo Pombo, B. Izquierdo
The properties of the material at 293 K are the following ones: density = 7.7 Kg/m3, thermal conductivity = 20 W/m K, specific heat = 460 J/kg K.
Journal of Manufacturing Science Engineering 126 (2004) 107-114 [6] A.
Ohshita, Grinding temperature within contact arc between wheel and workpiece in high-efficiency grinding of ultrahard cutting tool materials, Journal of Materials Processing Technologies, 136 (2003) 39-47 [8] I.
ASME, Journal of Manufacturing Science Enggineering, 123 (2001) 191-195 [10] T.
Martínez-Toledano, Machining evaluation of a hybrid MQL-CO2 grinding technology, Journal of Cleaner Production, 18 (2010) 1840-1849
Journal of Manufacturing Science Engineering 126 (2004) 107-114 [6] A.
Ohshita, Grinding temperature within contact arc between wheel and workpiece in high-efficiency grinding of ultrahard cutting tool materials, Journal of Materials Processing Technologies, 136 (2003) 39-47 [8] I.
ASME, Journal of Manufacturing Science Enggineering, 123 (2001) 191-195 [10] T.
Martínez-Toledano, Machining evaluation of a hybrid MQL-CO2 grinding technology, Journal of Cleaner Production, 18 (2010) 1840-1849
Online since: February 2014
Authors: Xuan Wei Peng
Thermal properties of main materials are shown in table 2.
Journal of Chongqing Jianzhu University, Vol.17(2), (1995),P.23-30.
Journal of Chongqing Jianzhu University, Vol.18(3), (1996), P.1-7.
Journal of Chongqing Jianzhu University, Vol.19(5), (1997), P.107-111+130.
China Safety Science Journal, Vol.1(16), (2006), P.88-92.
Journal of Chongqing Jianzhu University, Vol.17(2), (1995),P.23-30.
Journal of Chongqing Jianzhu University, Vol.18(3), (1996), P.1-7.
Journal of Chongqing Jianzhu University, Vol.19(5), (1997), P.107-111+130.
China Safety Science Journal, Vol.1(16), (2006), P.88-92.
Online since: August 2014
Authors: Ahmad Ghanbari, Arash Rahmani, Ali Mohammadi
Finite Element Model
At first, we define materials of blade in metallography Lab.
According to test result, the blade material was a Steel-based alloy known as X15Cr13 with the mechanical specification that is presented in Table 1.
References [1] Mohammad Vaezi, Masoud Soleymani,: Journal of Applied Sciences, Vol. 9 (2009), p. 1950 [2] Arash Rahmani, Ghiam Eslami, Ramin Soliemani,: Life Science Journal, Vol. 10 (2013), p. 546 [3] Z.
Al-Qaisia,: Journal of sound and vibration, 2005, Vol. 282 (2005), p. 1065 [5] Gareth L.
Tejeda,: Engineering Failure Analysis, Vol. 35, (2013), p. 562 [8] Gwo-chung Tsai,: Journal of sound and vibration, Vol. 271 (2004), p. 547 [9] E.
According to test result, the blade material was a Steel-based alloy known as X15Cr13 with the mechanical specification that is presented in Table 1.
References [1] Mohammad Vaezi, Masoud Soleymani,: Journal of Applied Sciences, Vol. 9 (2009), p. 1950 [2] Arash Rahmani, Ghiam Eslami, Ramin Soliemani,: Life Science Journal, Vol. 10 (2013), p. 546 [3] Z.
Al-Qaisia,: Journal of sound and vibration, 2005, Vol. 282 (2005), p. 1065 [5] Gareth L.
Tejeda,: Engineering Failure Analysis, Vol. 35, (2013), p. 562 [8] Gwo-chung Tsai,: Journal of sound and vibration, Vol. 271 (2004), p. 547 [9] E.
Online since: March 2010
Authors: Zhi Yi Miao, Shi Xian Yuan
Mechanical Engineering
Science
[3] Chao,B.T. and Trigger,K.J: Trans.ASME,1958,80(1),311-320
Erdem Alaca: Journal of Materials Processing Technology 183 (2007) [5] A.J.R.Smith,J.A.Armarego, Annals of CIRP,1981
Dinc: Journal of materials processing technology 1111-1121
[9] Komanduri, R: International Journal of Mechanical Sciences 42(9): 1715-1752
Elbestawi: International Journal of Machine Tools & Manufacture 47 (2007) 263-272.
Erdem Alaca: Journal of Materials Processing Technology 183 (2007) [5] A.J.R.Smith,J.A.Armarego, Annals of CIRP,1981
Dinc: Journal of materials processing technology 1111-1121
[9] Komanduri, R: International Journal of Mechanical Sciences 42(9): 1715-1752
Elbestawi: International Journal of Machine Tools & Manufacture 47 (2007) 263-272.
Online since: July 2012
Authors: Lin Xiong, Yuan Zhu Mi, Xue Min Yan
Journal of Chemical and Engineering Data Vol. 55 (2010), p. 5818-5823
Journal of Porous Materials, in press.
Journal of Industrial and Engineering Chemistry Vol. 11 (2005), p. 137-144
Journal of Materials Science Vol. 43 (2008), p. 1525-1531
Materials Chemistry and Physics Vol. 99 (2006), p. 318-324
Journal of Porous Materials, in press.
Journal of Industrial and Engineering Chemistry Vol. 11 (2005), p. 137-144
Journal of Materials Science Vol. 43 (2008), p. 1525-1531
Materials Chemistry and Physics Vol. 99 (2006), p. 318-324
Online since: July 2014
Authors: Xian Liang Dong, Shi Dong
Liaoning Institute of Science and Technology, Benxi 117000,China
2.
With the accurate prediction of molten steel temperature and carbon content in the endpoint of steelmaking in converters, to timely adjust to add raw materials, auxiliary materials and oxygen consumption is a very important part in the whole process of steelmaking.
The precision analysis of 29th furnace of molten steel endpoint carbon content and temperature is as follows: =0.240 (6) =0.271 (7) Table 2: Percentage of Hits of the Prediction Error The scope of the prediction error ±0.0001 ±0.01 ±0.1 ±0.5 Percentage of hits of temperature prediction error 10.34% 3.44% 20.67% 65.52% Percentage of hits of carbon content prediction error 3.44% 3.44% 34.48% 58.62% *This work is supported by National Natural Science Foundation (NNSF) of China under Grant 50774019 References [1] Chai Tian-you etc, BOF endpoint prediction based on RBF neural network, The Chinese Journal of Nonferrous Metals Vol.9 No.4 Aug.1999 [2] Xie Shu-ming, etc., BOF endpoint prediction based on RBF neural network, Journal of Shenyang University of Technology ,Vol.28 No.4 Aug.2006 [3] Tao Jun etc, Steelmaking BOF model based on Gas and RBF neural network
, Journal of System Simulation Vol.12 No.3 Aug.2000 [4] eng Ming-xia etc, BOF end-point prediction model based on non-linear homotopic BI algorithm, Journal of Materials and Metallurgy Vol.9 No.2 June.201
With the accurate prediction of molten steel temperature and carbon content in the endpoint of steelmaking in converters, to timely adjust to add raw materials, auxiliary materials and oxygen consumption is a very important part in the whole process of steelmaking.
The precision analysis of 29th furnace of molten steel endpoint carbon content and temperature is as follows: =0.240 (6) =0.271 (7) Table 2: Percentage of Hits of the Prediction Error The scope of the prediction error ±0.0001 ±0.01 ±0.1 ±0.5 Percentage of hits of temperature prediction error 10.34% 3.44% 20.67% 65.52% Percentage of hits of carbon content prediction error 3.44% 3.44% 34.48% 58.62% *This work is supported by National Natural Science Foundation (NNSF) of China under Grant 50774019 References [1] Chai Tian-you etc, BOF endpoint prediction based on RBF neural network, The Chinese Journal of Nonferrous Metals Vol.9 No.4 Aug.1999 [2] Xie Shu-ming, etc., BOF endpoint prediction based on RBF neural network, Journal of Shenyang University of Technology ,Vol.28 No.4 Aug.2006 [3] Tao Jun etc, Steelmaking BOF model based on Gas and RBF neural network
, Journal of System Simulation Vol.12 No.3 Aug.2000 [4] eng Ming-xia etc, BOF end-point prediction model based on non-linear homotopic BI algorithm, Journal of Materials and Metallurgy Vol.9 No.2 June.201
Online since: June 2014
Authors: Shu Yang, Hong Mei Zhao, Yun Xian Yang, Qing Song Duan, Xiang Dong Qin, Qing Song Yang, Yan Zhao
Moreover, biogas slurry is not only rich in major plant nutrients, but also is enriched with amino acids, vitamins, some plant hormones, materials or factors inhibited the pests and diseases.
Materials and Methods 1.1 Seed materials Seeds of faba beans (Vicia faba L.) were obtained from Xiaobanqiao Seeds Trade Market, Yunnan.
Lorimor: Agronomy Journal, 99, 1119 (2007)
Pomar: Soil Science Society of America Journal, 68, 637 (2004)
Amato: European Journal of Agronomy, 16, 81–95 (2002)
Materials and Methods 1.1 Seed materials Seeds of faba beans (Vicia faba L.) were obtained from Xiaobanqiao Seeds Trade Market, Yunnan.
Lorimor: Agronomy Journal, 99, 1119 (2007)
Pomar: Soil Science Society of America Journal, 68, 637 (2004)
Amato: European Journal of Agronomy, 16, 81–95 (2002)