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Online since: July 2014
Authors: Zhi Shu Yao, Hai Qing Song, Zhen Xu
On grade C60 concrete, the limiting grain size of it’s coarse aggregate should not be greater than 31.5mm.
On above C60 grade concrete, the limiting grain size of it’s coarse aggregate should not be greater than 25mm.
Specimes code Design strength Slump (mm) Compressive strength (MPa) 3d 7d 28d 1 C60 210 56.3 64.3 73.0 2 C60 220 54.0 68.3 72.1 3 C60 190 57.6 63.5 71.1 4 C65 220 58.5 69.2 75.6 5 C65 220 57.5 67.2 75.3 6 C65 200 55.2 61.8 76.3 7 C70 180 60.7 68.2 81.9 8 C70 190 63.0 72.2 83.0 9 C70 190 65.6 73.7 82.4 10 C75 170 68.4 76.4 85.1 11 C75 170 69.1 78.2 86.4 12 C75 180 67.3 77.9 85.7 Engineering application Through a large number of preparation experiments, the optimum mixture ratio of high strength and high performance concrete in deep alluvium freezing shaft lining is obtained, and then engineering application is conducted in three freezing shaft in kouzi East Coal Mine .
On above C60 grade concrete, the limiting grain size of it’s coarse aggregate should not be greater than 25mm.
Specimes code Design strength Slump (mm) Compressive strength (MPa) 3d 7d 28d 1 C60 210 56.3 64.3 73.0 2 C60 220 54.0 68.3 72.1 3 C60 190 57.6 63.5 71.1 4 C65 220 58.5 69.2 75.6 5 C65 220 57.5 67.2 75.3 6 C65 200 55.2 61.8 76.3 7 C70 180 60.7 68.2 81.9 8 C70 190 63.0 72.2 83.0 9 C70 190 65.6 73.7 82.4 10 C75 170 68.4 76.4 85.1 11 C75 170 69.1 78.2 86.4 12 C75 180 67.3 77.9 85.7 Engineering application Through a large number of preparation experiments, the optimum mixture ratio of high strength and high performance concrete in deep alluvium freezing shaft lining is obtained, and then engineering application is conducted in three freezing shaft in kouzi East Coal Mine .
Online since: April 2014
Authors: Xi Juan Wang, Jun Jie Zhang, Jing Xiao Feng, Ming Zhe Zhang
Spread deposit including gas spread deposit and grain spread deposit.
On one hand, the melting point of FeS2 is very low, therefore, the iron ore can be in liquid, on the other hand, the grain of iron ore including sulfur will be larger than others, therefore, it will strike the equipment and promote the fouling produced.
number parameters unit quantity 1 temperature of eject smoke 0c 2 2 pressure of entrance economize coal equipment MPa 1 3 temperature of entrance economize coal equipment 0c 1 4 temperature of exit economize coal equipment 0c 1 5 flow of exit economize coal equipment t/h 1 6 pressure of exit in high temperature equipment MPa 1 7 temperature of exit in high temperature equipment 0c 1 8 temperature of entrance in high temperature equipment 0c 1 9 flow of exit in high temperature equipment t/h 1 9 load MW 1 10 temperature of wall in low temperature equipment 0c 2 11 temperature of wall in high temperature equipment 0c 2 12 temperature of exit in low temperature equipment 0c 1 13 quantity of oxygen % 1 To achieve better result, more parameters should be also needed, but parameters in above table are pivotal.
On one hand, the melting point of FeS2 is very low, therefore, the iron ore can be in liquid, on the other hand, the grain of iron ore including sulfur will be larger than others, therefore, it will strike the equipment and promote the fouling produced.
number parameters unit quantity 1 temperature of eject smoke 0c 2 2 pressure of entrance economize coal equipment MPa 1 3 temperature of entrance economize coal equipment 0c 1 4 temperature of exit economize coal equipment 0c 1 5 flow of exit economize coal equipment t/h 1 6 pressure of exit in high temperature equipment MPa 1 7 temperature of exit in high temperature equipment 0c 1 8 temperature of entrance in high temperature equipment 0c 1 9 flow of exit in high temperature equipment t/h 1 9 load MW 1 10 temperature of wall in low temperature equipment 0c 2 11 temperature of wall in high temperature equipment 0c 2 12 temperature of exit in low temperature equipment 0c 1 13 quantity of oxygen % 1 To achieve better result, more parameters should be also needed, but parameters in above table are pivotal.
Online since: June 2014
Authors: Dusit Ngamrungroj, Surasing Chaiyakun, Nirun Witit-Anun, Kanchaya Honglertkongsakul, Pornpipat Boosabarat
This is due to the formation of stresses of ion size difference between zinc and dopant in the grain boundaries.
These indicated that the films were degraded in the crystallinity and reduced in grain size of the films with increasing the current at aluminum target.
Summary The AZO thin films were degraded in the crystallinity with increasing the currents at aluminum target due to being a large number of aluminum atoms in the films.
These indicated that the films were degraded in the crystallinity and reduced in grain size of the films with increasing the current at aluminum target.
Summary The AZO thin films were degraded in the crystallinity with increasing the currents at aluminum target due to being a large number of aluminum atoms in the films.
Online since: January 2015
Authors: Sergey Nikolskiy, Olga Pertseva
Now lot of new concretes are investigated, tested and used, for example, nanomodificated concrete [14], high-strength concrete [15], concrete on the basis of fine-grained dry powder mixes [16], concrete with using recycling concrete aggregates [17] etc.
In accordance with experimental data [19, 20] dependence is well approximated, where: A=D (when c =1) – value of D after first thermo cycle; c – number of thermo cycles; q – constant of material.
Next generation concrete on the basis of fine-grained dry powder mixes (2012) Magazine of Civil Engineering, 34 (8), pp. 47-53
In accordance with experimental data [19, 20] dependence is well approximated, where: A=D (when c =1) – value of D after first thermo cycle; c – number of thermo cycles; q – constant of material.
Next generation concrete on the basis of fine-grained dry powder mixes (2012) Magazine of Civil Engineering, 34 (8), pp. 47-53
Online since: May 2011
Authors: Qiao Fang Zhou, Ying Chun Cai, Yan Xu, Xiang Ling Zhang
Apart from moisture content, wood electrical resistance is influenced by other factors such as temperature, species, density, grain direction and etc..
Check occurs when the stress is beyond the tensile strength transverse to grain of wood, especially in the early stage of wood drying, and so moisture content gradient should be controlled in a reasonable range which ensures the fastest drying rate yet prevents surface check.
There were 6 specimens in all, with the same size as follows: 600(L)×220(T)×50mm(R), and were numbered from one end as 1, 2, ..., 6.
Check occurs when the stress is beyond the tensile strength transverse to grain of wood, especially in the early stage of wood drying, and so moisture content gradient should be controlled in a reasonable range which ensures the fastest drying rate yet prevents surface check.
There were 6 specimens in all, with the same size as follows: 600(L)×220(T)×50mm(R), and were numbered from one end as 1, 2, ..., 6.
Online since: April 2011
Authors: Yung Jen Lin, Xiao Wen Lo
Grain structure of SiC can be seen in the struts of the samples.
Right: high magnification, showing SiC grain and pores.
Acknowledgement This research was financially supported by the National Science Council, Taiwan under grant number NSC 95-2221-E-036-012 References [1] J.
Right: high magnification, showing SiC grain and pores.
Acknowledgement This research was financially supported by the National Science Council, Taiwan under grant number NSC 95-2221-E-036-012 References [1] J.
Online since: February 2013
Authors: Min Xu, Yue Ma, Shuai Chen
Researchers have developed a variety of machine vision system for a wide range of agricultural products, including potatoes[1], mango[1], citrus[2], starfruit[3], grain[4], peach[5], apples [6,7], chestnuts[8], Medjool date[9,10].
Through a large number of tests, the size of the mean filter can be determined by (2) Where, min (M, N) represents the smaller one between M and N.
Jayas, “Evaluation of variations in the shape of grain types using principal components analysis of the elliptic Fourier descriptors”, Computers and Electronics in Agriculture, Vol.80, pp.63-70, 2012 [5] A.Herrero-Langreo, E.Fernández-Ahumada, J.M.Roger, “Combination of optical and non-destructive mechanical techniques for the measurement of maturity in peach”, Journal of Food Engineering, Vol.108, pp.150-157, 2012 [6] Kavdir I., Guyer D.E, “Comparison of artificial neural networks and statistical classifiers in apple sorting using textural features”, Biosystem Engineering , Vol.89, No.3, pp.331-344, 2004 [7] Mehl, P.M., Chen, Y.R., Kim, M.S., “Development of hyperspectral imaging technique for the detection of apple surface defects and contaminations”, Journal Food Engineering, Vol.61, pp.67-81, 2004 [8] Zhan Hui, Li Xiaoyu, Zhou Zhu, “Detection of chestnut defect based on data fusion of near-infrared spectroscopy and machine vision”, Transactions of the CSAE, Vol.27, No.2, pp.345
Through a large number of tests, the size of the mean filter can be determined by (2) Where, min (M, N) represents the smaller one between M and N.
Jayas, “Evaluation of variations in the shape of grain types using principal components analysis of the elliptic Fourier descriptors”, Computers and Electronics in Agriculture, Vol.80, pp.63-70, 2012 [5] A.Herrero-Langreo, E.Fernández-Ahumada, J.M.Roger, “Combination of optical and non-destructive mechanical techniques for the measurement of maturity in peach”, Journal of Food Engineering, Vol.108, pp.150-157, 2012 [6] Kavdir I., Guyer D.E, “Comparison of artificial neural networks and statistical classifiers in apple sorting using textural features”, Biosystem Engineering , Vol.89, No.3, pp.331-344, 2004 [7] Mehl, P.M., Chen, Y.R., Kim, M.S., “Development of hyperspectral imaging technique for the detection of apple surface defects and contaminations”, Journal Food Engineering, Vol.61, pp.67-81, 2004 [8] Zhan Hui, Li Xiaoyu, Zhou Zhu, “Detection of chestnut defect based on data fusion of near-infrared spectroscopy and machine vision”, Transactions of the CSAE, Vol.27, No.2, pp.345
Development of Flux Cored Wire Using Concentrates and Mining Industry Waste Products in the Far East
Online since: February 2019
Authors: V.M. Makienko, P.V. Sokolov, A.V. Atenyaev, L.B. Leontiev
Boron makes grain refinement easier, and the formation of borides improves the mechanical properties of the surface coating being formed
Brazilite containing zirconium oxide (ZrO2) makes the grain refinement easier.
Analysis of mineral basis established that the Far Eastern region has considerable deposits of mineral raw materials including waste products of mining industry that contain a sufficient number of elements (tungsten, boron, titanium, zirconium, etc.) for manufacturing welding surface materials. 2.
Brazilite containing zirconium oxide (ZrO2) makes the grain refinement easier.
Analysis of mineral basis established that the Far Eastern region has considerable deposits of mineral raw materials including waste products of mining industry that contain a sufficient number of elements (tungsten, boron, titanium, zirconium, etc.) for manufacturing welding surface materials. 2.
Online since: March 2013
Authors: Dong Min Wang, Duan Le Li, Guan Bao Tang, Cheng Du, Jian Feng Wang
Under the same power consumption of the mill, it can increase the mill production, or reduce the cement fineness, increase the cement specific surface area and optimize the grain composition of cement.
The polar group number of the molecule will be increased by synthesis. 3) Add double bond structure.
Table5 Cement particle size distribution (%) Grinding aid <3μm 3-32μm 32-65μm ≥65μm Blank 8.49 60.24 30.06 1.21 TEA 9.96 62.48 27.34 0.22 TIPA 9.64 62.79 26.73 0.84 A 9.57 63.01 26.98 0.44 B 10.03 65.83 24.12 0.02 The particle size distribution is an important parameter affecting the performance of cement and different particle size distribution directly affects the chemical and mechanical properties of the cement.Tsivilis and other scholars had proposed the optimum grain composition ofPortland cement: the particle size distribution is more than 65% is 3-32μm and less than 10% is smaller than 3μm.
The polar group number of the molecule will be increased by synthesis. 3) Add double bond structure.
Table5 Cement particle size distribution (%) Grinding aid <3μm 3-32μm 32-65μm ≥65μm Blank 8.49 60.24 30.06 1.21 TEA 9.96 62.48 27.34 0.22 TIPA 9.64 62.79 26.73 0.84 A 9.57 63.01 26.98 0.44 B 10.03 65.83 24.12 0.02 The particle size distribution is an important parameter affecting the performance of cement and different particle size distribution directly affects the chemical and mechanical properties of the cement.Tsivilis and other scholars had proposed the optimum grain composition ofPortland cement: the particle size distribution is more than 65% is 3-32μm and less than 10% is smaller than 3μm.
Online since: July 2014
Authors: Hu Yuan Zhang, Ping Liu, Yi Chen, Xian Xian Shao, Xin Yuan Fu
Introduction
A large number of ancient earthen architecture ruins were left along the Silk Road in arid and semi-arid areas of northwest region, and these earthen ruins were constructed by clay or sand, or by directly digging raw soil, or by utilizing sun-dried mud bricks [1].
Table 1 Physical properties of the soil samples sample specific gravity Liquid limit /% Plastic limit /% Plasticity index Clay /% silt /% sand /% specific urface area/m2·g-1 Jiaohe 2.719 34.0 22.4 11.6 25.1 67.4 7.5 1.19 Gaochang 2.714 30.7 18.5 12.2 25.0 60.3 14.7 1.07 Jiuzhoutai 2.722 28.1 17.6 10.5 11.2 70.5 18.3 0.64 Table 2 Results of analysis by X-ray diffraction of test soil samples sample Montmorillonite Illite Plaster Kaolinite Chlorite Quartz potash feldspar anorthose Calcite Dolomite Jiaohe 2.3 2.1 0.1 2 0 39.2 18.3 34.9 0 0.3 Gaochang 2.1 4.7 0 2.1 1.6 37.2 13.6 22.3 14.6 0.4 Jiuzhoutai 1.4 6.9 0.1 3 1.7 48.4 11.2 15.9 8.9 1.9 Particle size frequency curve Cumulative grain size curves Fig.1 Grain size distribution curve of soil samples Test principle.
Table 1 Physical properties of the soil samples sample specific gravity Liquid limit /% Plastic limit /% Plasticity index Clay /% silt /% sand /% specific urface area/m2·g-1 Jiaohe 2.719 34.0 22.4 11.6 25.1 67.4 7.5 1.19 Gaochang 2.714 30.7 18.5 12.2 25.0 60.3 14.7 1.07 Jiuzhoutai 2.722 28.1 17.6 10.5 11.2 70.5 18.3 0.64 Table 2 Results of analysis by X-ray diffraction of test soil samples sample Montmorillonite Illite Plaster Kaolinite Chlorite Quartz potash feldspar anorthose Calcite Dolomite Jiaohe 2.3 2.1 0.1 2 0 39.2 18.3 34.9 0 0.3 Gaochang 2.1 4.7 0 2.1 1.6 37.2 13.6 22.3 14.6 0.4 Jiuzhoutai 1.4 6.9 0.1 3 1.7 48.4 11.2 15.9 8.9 1.9 Particle size frequency curve Cumulative grain size curves Fig.1 Grain size distribution curve of soil samples Test principle.