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Online since: August 2018
Authors: Yu Cheng Yin, Yong He Liang, Man Fei Cai, Jian Hua Nie, Yu Long Guo
The main factors that control the rheology of castables are the particle size distribution, the solid concentration, and the nature of the raw-materials and chemical additives present in the system.
Therefore, the right choice of dispersing agents is very important for the systematic development of these materials [6].
The tests were performed in diluted suspensions (30 vol.%) containing the matrix materials.
Corundum-spinel castable were subsequently prepared using white fused alumina as aggregates and other materials as the matrix constituents (as shown in Table 3).
[4] G.Puerta-Falla, M.Balonis, G.L.Saout, G.Falzone, C Zhang, Elucidating the role of the aluminous source on limestone reactivity in cementitious materials, Journal of the American Ceramic Society 98.12(2016):4076-4089
Therefore, the right choice of dispersing agents is very important for the systematic development of these materials [6].
The tests were performed in diluted suspensions (30 vol.%) containing the matrix materials.
Corundum-spinel castable were subsequently prepared using white fused alumina as aggregates and other materials as the matrix constituents (as shown in Table 3).
[4] G.Puerta-Falla, M.Balonis, G.L.Saout, G.Falzone, C Zhang, Elucidating the role of the aluminous source on limestone reactivity in cementitious materials, Journal of the American Ceramic Society 98.12(2016):4076-4089
Online since: July 2014
Authors: Sarmita Sinha, Prabir Chandra Pramanik, Howa Begam, Abhijit Chanda
Rettenmayr, Evaluation of wettability and surface energy of native Nitinol surfaces in relation to hemocompatibility, Materials Science and Engineering C.33 (2013)127-132
Ramamurty, Effect of mechanical cycling on the stress–strain response of a martensitic Nitinol shape memory alloy, Materials Science and Engineering A. 525(2009)60–67
Vecchio, Influence of cold work and texture on the high-strain-rate response of Nitinol, Materials Science and Engineering A.527(2010)5255–5267
Rebelo, Effects of Cyclic Loading on the Uniaxial Behavior of Nitinol , Journal of Materials Engineering and Performance . 20 (2011) 684-687
E.Karaca, Phase transformation characteristics and mechanical characterization of nitinol synthesized by laser direct deposition,Materials Science &Engineering A.559 (2013) 836–843
Ramamurty, Effect of mechanical cycling on the stress–strain response of a martensitic Nitinol shape memory alloy, Materials Science and Engineering A. 525(2009)60–67
Vecchio, Influence of cold work and texture on the high-strain-rate response of Nitinol, Materials Science and Engineering A.527(2010)5255–5267
Rebelo, Effects of Cyclic Loading on the Uniaxial Behavior of Nitinol , Journal of Materials Engineering and Performance . 20 (2011) 684-687
E.Karaca, Phase transformation characteristics and mechanical characterization of nitinol synthesized by laser direct deposition,Materials Science &Engineering A.559 (2013) 836–843
Online since: May 2012
Authors: Zhi Hua Fan, Qiang Xue, Jiang Shan Li, Lei Liu
The P-V modified model and experiment of landfill gas generation rate
Liu Lei1,2,a, Fan Zhihua3,b, Xue Qiang1,c, Li Jiangshan1,d
1Institute of Rock and Soil Mechanics, The Chinese Academy of Sciences State Key Laboratory of Geomechanics and Geotechnical Engineering, Wuhan,430071, Hubei, China
2Key Lab of Biogeology and Environmental Geology of Ministry of Education, China University of Geosciences, Wuhan
3School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018,China;
algdliulei@163.com,
bfanzhihua@163.com,
cmilson_xq@163.com,
dcersm@163.com
Keywords: landfill gas; P-V modified model; biodegradation; gas production; gas generation rate
Abstract.
Materials The organic fraction (the readily, moderately, and the slowly biodegradable fractions) of the waste sample is respectively, 55%, 30% and 15%.
Table 2 The result of production rate constant test k(day-1) Stage 1 Stage 2 Stage 1 Stage 2 Case A 0.01512 0.0317 0.76 0.94 Case B 0.00792 0.0181 0.81 0.90 Case C 0.00756 0.0145 0.79 0.83 Acknowledgments This research was supported by the and Special Fund for Basic Research on Scientific Instruments of the National Natural Science Foundation of China (50927904) and the National Basic Research Program of China(973 Program)(2012CB719802) and the Young Scientists Fund of Main Direction Program of Knowledge Innovation of Chinese Academy of Sciences (KZCX2-YW-QN114) and National Natural Science Foundation of China (50874102) and the Major Program of Special Funds for Scientific Instruments of the Chinese Academy of Sciences (YZ200942) and the Open Research Program of the Key Lab of Biogeology and Environmental Geology of Ministry of Education (BGEG1008) References [1]Landfill Gas Emissions Model Version 2.0(User's Manual).
Journal of Chemical Induestry and Engineering , 59(3): 751-755(In Chinese) [6]G.
China Environmental Science, 28(8): 730-735(In Chinese) [9] Jiajun Chen, Hao WANG, Na ZHANG, et al. 2008.
Materials The organic fraction (the readily, moderately, and the slowly biodegradable fractions) of the waste sample is respectively, 55%, 30% and 15%.
Table 2 The result of production rate constant test k(day-1) Stage 1 Stage 2 Stage 1 Stage 2 Case A 0.01512 0.0317 0.76 0.94 Case B 0.00792 0.0181 0.81 0.90 Case C 0.00756 0.0145 0.79 0.83 Acknowledgments This research was supported by the and Special Fund for Basic Research on Scientific Instruments of the National Natural Science Foundation of China (50927904) and the National Basic Research Program of China(973 Program)(2012CB719802) and the Young Scientists Fund of Main Direction Program of Knowledge Innovation of Chinese Academy of Sciences (KZCX2-YW-QN114) and National Natural Science Foundation of China (50874102) and the Major Program of Special Funds for Scientific Instruments of the Chinese Academy of Sciences (YZ200942) and the Open Research Program of the Key Lab of Biogeology and Environmental Geology of Ministry of Education (BGEG1008) References [1]Landfill Gas Emissions Model Version 2.0(User's Manual).
Journal of Chemical Induestry and Engineering , 59(3): 751-755(In Chinese) [6]G.
China Environmental Science, 28(8): 730-735(In Chinese) [9] Jiajun Chen, Hao WANG, Na ZHANG, et al. 2008.
Online since: December 2012
Authors: Jin Xu, Li Gang Xu, Lei Dong, Ran Gong
Field studies on the treatment capacity of the stormwater wetland
Jin Xu1,2, a, Ligang Xu2,b, Ran Gong1,c,Lei Dong 2,d
1Department of environmental engineering, Nanjing institute of technology, Nanjing, China
2State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China
aXujin100408@163.com, bLgxu@niglas.ac.cn, chhuhenry@163.com, ddlyltt@126.com
Keywords: wetland, phosphorus, nitrogen, removal effect
Abstract.
Materials and methods The wetlands system.
This work was financially supported by National Natural Science Foundation of China (41101465, 50909019) , National Basic Research Program of China (973 Program, No. 2012CB417005), Youth Foundation of Nanjing Institute of Technology (QKJA2010009) and University Natural Science Foundation of Jiangsu Province (11KJB610003).
Journal of Hydrology.
Environmental Science Press of China (1993) .
Materials and methods The wetlands system.
This work was financially supported by National Natural Science Foundation of China (41101465, 50909019) , National Basic Research Program of China (973 Program, No. 2012CB417005), Youth Foundation of Nanjing Institute of Technology (QKJA2010009) and University Natural Science Foundation of Jiangsu Province (11KJB610003).
Journal of Hydrology.
Environmental Science Press of China (1993) .
Online since: December 2013
Authors: Shan Shan Lu, Hua Li, Hui Chao Dai, Quan Lin Ding
L, Ding4
1 College of Water Conservancy and Hydropower Engineering, Hohai University Nanjing, China
2 Three Gorges Corporation, Yunnan kunming , China
3 College of Water Conservancy and Hydropower Engineering, Hohai University Nanjing, China
College of Mechanics and Materials,Hohai University Nanjing, China
alssznl@163.com
Keywords: Hydraulic characteristics; numerical simulation; energy dissipater with step-down floor.
Acknowledgements This work was financially supported by the National Science Fund for Distinguished Young Scholars (No. 50925932) and National Natural Science Foundation of China (No. 51279047).
[2] Gao Jizhang, Li Yongmei,Liu Peiqing, in: submitted to Journal of Hydraulic Engineering, (1999) [3] Li Yanling, Hua Guochun, Zhang Jianmin: Advances in Water Science, Vol. 17 (2006), p. 761
[4] Deng Jun, Xu Weilin, Zhang Jianming,in: A New Type of Plunge Pool—Multi-horizontal Submerged Jets, edited by Technological Sciences, Science in China (2008), p.2128
Science Press, (2006),in press.
Acknowledgements This work was financially supported by the National Science Fund for Distinguished Young Scholars (No. 50925932) and National Natural Science Foundation of China (No. 51279047).
[2] Gao Jizhang, Li Yongmei,Liu Peiqing, in: submitted to Journal of Hydraulic Engineering, (1999) [3] Li Yanling, Hua Guochun, Zhang Jianmin: Advances in Water Science, Vol. 17 (2006), p. 761
[4] Deng Jun, Xu Weilin, Zhang Jianming,in: A New Type of Plunge Pool—Multi-horizontal Submerged Jets, edited by Technological Sciences, Science in China (2008), p.2128
Science Press, (2006),in press.
Online since: December 2012
Authors: Tieh Min Yen, Cheng Wen Liao
Materials and Methodology
Research Subjects.
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, V. and Berry, L.L.: Journal of Retailing Vol. 67 No. 4 (1991), p. 420 [12] Stevens, P.
S. and Conway, C.: Journal of Services Marketing Vol.20 No1 (2006), p. 3 [2] Carrillat, F.A., Jaramillo, F. and Mulki, J.: International Journal of Service Industry Management Vol.18 No5 (2007), p. 472 [3] Cronin, J.J. and Taylor, S.A.: Journal of Marketing Vol. 56No. 3(1992), p. 55 [4] Finn, A.: Journal of Retailing and Consumer services Vol. 18 No.1 (2011), p. 27 [5] Fowlkes, W.Y. and Creveling, C.M.: Engineering Methods for Robust Product Design (First printing, August Addison-Wesley Publishing Company 1995) [6] Joseph, V.R. and Wu, C.F.J.: Journal of Quality Technology Vol. 17 No. 4 (2002), p.176 [7] Ladhari, R.: Measuring Service Quality Vol. 18 No.1 (2008),p. 65 [8] Lee, Y.C., Cheng, C.C. and Yen, T.M.: Journal of Applied Sciences Vol. 9 No.1 (2009), p. 38 [9] Lee, Y.C., Yen, T.M. and Tsai, C.H.: The TQM Journal Vol. 20 No.5 (2008), p. 488 [10] Morković S., Raspor, S. and Šegarić, K.: Tourism and Hospitality Management Vol. 16 No. 2 (2010), p. 181 [11] Parasuraman, A., Zeithaml
, V. and Berry, L.L.: Journal of Retailing Vol. 67 No. 4 (1991), p. 420 [12] Stevens, P.
Online since: August 2013
Authors: An Tong Gao, Rong Gang Chen, Yu Sheng Han, Jin Zhang
Therefore, accurate estimation of the available capacity for a battery is very necessary from the point of view of reliability and energy management, and it will help to find new battery materials which can balance battery longevity and energy needs.
Singh: Journal of Power Sources 80 (1-2) (1999) , p. 293 [4] J.
Buller: Journal of Power Sources.
Wang: Journal of Power Sources.
Weixiang: Journal of Power Sources 87 (1-2) (2000), p. 201-204 [10] G.
Singh: Journal of Power Sources 80 (1-2) (1999) , p. 293 [4] J.
Buller: Journal of Power Sources.
Wang: Journal of Power Sources.
Weixiang: Journal of Power Sources 87 (1-2) (2000), p. 201-204 [10] G.
Online since: September 2008
Authors: Giovanni Dassa, Andrea Bianco, Chiara Bertarelli, Giorgio Toso, Giuseppe Zerbi
Among all the smart functional systems, photochromic materials are among the most representative.
C.; Zerbi, G., Advanced Functional Materials 2004, 14, (11), 1129-1133.
M.; Tomasulo, M., Chemistry - A European Journal 2006, 12, (12), 3186-3193
[3] Ortuno, M.; Gallego, S.; Garcia, C.; Neipp, C.; Pascual, I., Appl 7012 [4] Irie, M., Chemical Rev Materials 20 [6 Materials 1999, 11, (4), 292-295
Y., Molecular Crystals and Liquid Crystals Science and Technology Section A: Molecular Crystals and Liquid Crystals 2002, 377, 385-390
C.; Zerbi, G., Advanced Functional Materials 2004, 14, (11), 1129-1133.
M.; Tomasulo, M., Chemistry - A European Journal 2006, 12, (12), 3186-3193
[3] Ortuno, M.; Gallego, S.; Garcia, C.; Neipp, C.; Pascual, I., Appl 7012 [4] Irie, M., Chemical Rev Materials 20 [6 Materials 1999, 11, (4), 292-295
Y., Molecular Crystals and Liquid Crystals Science and Technology Section A: Molecular Crystals and Liquid Crystals 2002, 377, 385-390
Online since: September 2011
Authors: Jia Wang Xu, Yun Long Zhu
A logistics and location decisions model for a closed-loop logistic system with uncertain demands
Jiawang Xu1, 2, Yunlong Zhu1
1 Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China
2 School of Economic & Management, Shenyang Aerospace University, Shenyang, 110136, China
ccb867321@yahoo.com.cn
Keywords: Closed-loop logistics model, Logistics and location decisions, decision-making
Abstract.
capacity of supplier i in period t; capacity of forward logistics in the manufactory j in period t; capacity of reverse logistics in the manufactory j in period t; unit cost of production in manufactory j using materials from supplier i; unit cost of transportation from each manufactory j to each DC k; fixed cost for operating manufactory j; fixed cost for landfilling per unit at manufactory j; the landfilling rate of manufactory j in period t; capacity of forward logistics in the DC k in period t; capacity of reverse logistics in the DC k in period t; unit cost of transportation from DC k to customer l; Unit cost of transportation from DC k to manufactory j; fixed cost for operating DC k; demand of the customer l at period t; recovery amount of customer l in period t; unit cost of recovery in DC k from customer l Variables.
quantity produced at manufactory j using raw materials from supply i in period t; quantity remanufactured at manufactory j in period t; quantity landfilled at manufactory j in period t; amount shipped from manufactory j to DC k ; amount shipped from DC k to customer l in period t; amount shipped from DC k to manufactory j in period t; quantity recovered at DC k from customer l in period t
Acknowledgement This work is partially supported by China Postdoctoral Science Foundation Grant #20080440170, National High-tech R&D Program (863 Program) Grant #2007AA04Z189, and Liaoning Provincial Humanities and Social Science Project Grant #2009A566.
Novais: European Journal of Operational Research Vol. 179(2007), p.1063 [4] H.
capacity of supplier i in period t; capacity of forward logistics in the manufactory j in period t; capacity of reverse logistics in the manufactory j in period t; unit cost of production in manufactory j using materials from supplier i; unit cost of transportation from each manufactory j to each DC k; fixed cost for operating manufactory j; fixed cost for landfilling per unit at manufactory j; the landfilling rate of manufactory j in period t; capacity of forward logistics in the DC k in period t; capacity of reverse logistics in the DC k in period t; unit cost of transportation from DC k to customer l; Unit cost of transportation from DC k to manufactory j; fixed cost for operating DC k; demand of the customer l at period t; recovery amount of customer l in period t; unit cost of recovery in DC k from customer l Variables.
quantity produced at manufactory j using raw materials from supply i in period t; quantity remanufactured at manufactory j in period t; quantity landfilled at manufactory j in period t; amount shipped from manufactory j to DC k ; amount shipped from DC k to customer l in period t; amount shipped from DC k to manufactory j in period t; quantity recovered at DC k from customer l in period t
Acknowledgement This work is partially supported by China Postdoctoral Science Foundation Grant #20080440170, National High-tech R&D Program (863 Program) Grant #2007AA04Z189, and Liaoning Provincial Humanities and Social Science Project Grant #2009A566.
Novais: European Journal of Operational Research Vol. 179(2007), p.1063 [4] H.
Online since: July 2011
Authors: Jun Ying Wei, Pei Si Zhong, Chun Fen Guo
Narrow manufacturing resources mainly refer to the material elements needed to manufacture one component.
Being the bottom manufacturing resources in a manufacturing system [4], narrow manufacturing resources include machine, tools, fixtures, gauges and materials and so on.
According to the phase properties of the manufacturing resources and by defining them in the extensive conception, the manufacturing resources are divided into nine categories as follows: (1) Special-specific products; (2) Standard parts resources; (3) Equipment and material resources; (4) Design knowledge resources; (5) Software system resources; (6) Experts human resources; (7) Training resources; (8) Science and technology information resources; (9) Other resources.
Acknowledgement This research is supported by the Science and Technology Development Program of Shandong Province (No. 2010GGX10408) and the Applied Basic Research Program of Qingdao, China (No. 09-1-3-51-jch).
Journal of Wuhan Automotive Polytechnic University, 22, 2(2000), pp. 19-21 (In Chinese)
Being the bottom manufacturing resources in a manufacturing system [4], narrow manufacturing resources include machine, tools, fixtures, gauges and materials and so on.
According to the phase properties of the manufacturing resources and by defining them in the extensive conception, the manufacturing resources are divided into nine categories as follows: (1) Special-specific products; (2) Standard parts resources; (3) Equipment and material resources; (4) Design knowledge resources; (5) Software system resources; (6) Experts human resources; (7) Training resources; (8) Science and technology information resources; (9) Other resources.
Acknowledgement This research is supported by the Science and Technology Development Program of Shandong Province (No. 2010GGX10408) and the Applied Basic Research Program of Qingdao, China (No. 09-1-3-51-jch).
Journal of Wuhan Automotive Polytechnic University, 22, 2(2000), pp. 19-21 (In Chinese)