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The reason for the change was that the number of double bond in unit volume of marble / UP resin mixture was reduced and the cross linking among the double bonds hindering by marble powder get more difficult, which cause the reduction of total quantity of heat in unit volume of marble / UP resin mixture.
The mechanism is that the adsorption of the weak polar ester moieties in the link of polyester resin on polar particle surface of marble powder with mean grain size of 2-6μm to disperse and immerse the particles of marble powder.
However, if marble powder was excessively used, the number of weak polar ester moieties adsorbing onto polar particle surface of marble powder will be reduced, as a result, marble powder can’t be well dispersed and maybe aggregate together.

While most relate this improvement to electronic effects, it has been pointed out that the addition of Ag can modify the grain sizes of the TiO2, so increasing the surface area and hence also the photoactivity [2].
In the non-photocatalysis pipe system (Table 1), the bacterial count on glass fiber (the number of 4, 5, 6 and 7 shown in Fig. 1) was much smaller than that on filters (the number of 8 and 9 shown in Fig. 1).

Fig. 3 Joint shear force of orthogonal factor index chart Orthogonal test result analysis is shown in Tab. 4, including Km (m = 1 ~ 3) for A, B and C factors of the mth of the corresponding level joint tensile strength average, the range R for K1, K2, K3,the number of 3 maximum and minimum difference, the greater the range, the factors that influence the joint tensile strength is larger.By three factors of the range all level analysis shows ,pin length has the biggest influence on the tensile share strength of welding joint, following the shouldr friction time and lastly the rotation speed.
Results of orthogonal experiment Test Number Experiment Scheme Factor A Factor B Factor C Joint Tensile Strength / KN 1 A1B1C1 1 1 1 1.20 2 A1B2C2 1 2 2 1.64 3 A1B3C3 1 3 3 1.75 4 A2B1C2 2 1 2 2.13 5 A2B2C3 2 2 3 2.46 6 A2B3C1 2 3 1 1.04 7 A3B1C3 3 1 3 1.86 8 A3B2C1 3 2 1 1.95 9 A3B3C2 3 3 2 1.51 Table 4．Analysis results of the orthogonal experiment Factor A B C K1 4.59 5.19 4.19 K2 5.63 6.05 5.28 K3 5.32 4.30 6.07 R 0.347 0.584 0.626 Weld area microstructure analysis When process parameter is optimized to be A2B2C3 (n=1000R/min, t=4s, l=3.5mm), the Macro morphology of cross-section of FSSW joint stir area is shown in Fig. 4.a.
It is due to the friction and extrusion effect of the shaft shoulder makes the grain in magnesium plate heat affected zone refine, as shown in Fig. 5.b ,which makes hardness and brittleness increase, and result in the reducing of ductility.

Preparation and Characterization of Gelatin/CMC Microcapsule by Complex Coacervation Yan Gao1, a, Ding Xie1, b*, Danni Han1, Jianxun Ouyan2 and Yongle Liu1 1 College of Chemical and Biology, Changsha University of Science and Technology, Changsha, Hunan 410114, China 2 Hunan Provincial Grain Bureau, Changsha, Hunan 410008, China agaomaomao2006@126.com, bcslg5148495@126.com.
Finally, these plates were scanned by infrared instruments at 500~4000 wave number.
The wavenumber of 3290.11 and 1030.27 are the special peak value of capsaicin and become weaken obviously in B and C; besides, the peak values of particles from microencapsules approximate those of gelatin-CMC coacervate at the wave numbers of 3411.58, 1646.46, 1550.15, 1461.74, respectively, showing the microencapsules are formed successfully[9,10].

Fig.3 Location of tool and workpiece Fig.4 Relation between time and vector of brush edge n1 =2700 [min-1] n2 =3000 [min-1] n1=100 [min-1] n2 =3000 [min-1] Actual loci Calculated loci n1 =2700 [min-1] n2 =3000 [min-1] n1=100 [min-1] n2 =3000 [min-1] Actual loci Calculated loci Direction of rotation Loci of brush edge End of brushing Start of brushing Workpiece Tool X Y v vx vy Direction of rotation Loci of brush edge End of brushing Start of brushing Workpiece Tool X Y v vx vy 0.12 0.14 0.16 0.18 0.20 0.22 0.00 0.02 0.04 0.06 0.08 0.10 � 2= 0 � 1= 100 Time [sec] � 2= 4000 � 1= 100 � Number of Spindle Rotation Tool radius Tool Tool spindle Spindle center Number of Oscillation Center of Oscillation Radius of Oscillation n1 n2 2 y 2 x y 2 y 2 x x vvN Pv fy vvN Pv fx + µ = + µ = Analysis of Brushing Forces Since brushing is a complicated process
Table 1 Experimental condition Brushing tool O.D. = 40mm I.D. = 15mm Filament length = 15 mm with #80 diamond grains Brushing force P 10 N Brushing time 600 sec Spindle Revolution : n1 300 min-1 4,000 min -1 0 1000 2000 3000 4000 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4 2.6 2.8 3.0 Tool rotation 50[min -1 ] Tool rotation 100[min -1 ] Tool rotation 200[min -1 ] Tool rotation 500[min -1 ] Tool rotation 1000[min -1 ] Tool rotation 4000[min -1 ] Tool rotation 100[min -1 ](Counter revolution) P=10[N] N=410[-] n=128[-] m=10[-] r=0.3[mm] d=0.5[mm] � =0.3[-] Brushing force Fx,Fy[N] Oscillating revolution [min -1 ] � � Fx xx Fy Fig.8 Experimental result of Fx From the experimental results shown above, it is clarified that the brushing force has a tendency to be decreased with the increase of oscillating revolution as same as Fx.

Table 1 Relations and values of the main control scales scale name horizontal scale ll vertical scale lh model variability e flow velocity scale lv flow rate scale lQ grain diameter scale ld roughness scale ln riverbed deformation time scale scale relation scale value 900 70 12.86 8.37 527095 5.44 0.57 12.857 The model roughness based on the scale values in the table were the riverbed roughness n1m = 0.041- 0.044 and the flood land roughness n2m = 0.062 - 0.079, from which we can see the required model roughness are large.
The characteristics values of different roughening schemes are listed in Table 2 and the Froude numbers Fr of different schemes and the ranges of roughness n see Table 3.
Grass cushion C Grass cushion B Grass cushion A Fig. 1 The grass cushion A, B and C Table 2 The characteristics values of different roughening schemes Unit: mm Schemes Grass cushion A Grooves Grass cushion B Grass cushion B + Straws Grass cushion C Grass cushion B Straws Grass (groove) interval 32 20 10 10 55 10 Grass (groove) width 50 10 8 8 5 10 Grass (groove) depth 20 10 10 10 50 8 Unit size 250×250 1200 135×135 135×135 70×70 Remarks flexible rigid a little hard a little hard hard Table 3 The Froude numbers Fr of different schemes and the ranges of roughness n Schemes Grass cushion A Grooves Grass cushion B Grass cushion B + Straws Grass cushion C Fr 0.1460 - 0.4264 0.1775 - 1.7598 0.2993 - 0.6496 0.2907 - 0.5752 0.3373 - 0.6736 n 0.0489 - 0.0813 0.0018 - 0.0251 0.0282 - 0.0626 0.0241 - 0.0781 0.0274 - 0.0548 From the data above we can see that roughening with the grass cushions can not only satisfy the requirement of roughness, but also maintain the flow in sluggish

In the 1970s, the research and application of the activity of ultrafine mineral admixture to play a super-additive effect, coupled with rich ratio, the best aggregate gradation and high temperature and high pressure steam curing the integrated use of new technology such as the ultra-high strengthactivity fine-grained concrete (C200, C800) and ultra-high-performance concrete, fourth leap.
A large number of concrete structures lifespan of only 10 to 20 years, already quite serious durability destruction.
Canada presented HPC national projects; France put forward " concrete new way "; while Japan proposed a new RC scheme; Norway combine national condition in improving the durability of marine oil platform, also did a large number of very fruitful work; the United States of America on the HPC investment the biggest, most extensive, involving basic theory, materials processing, computer simulation, quality control, design rules as well as the highway life detection.

Tab.1 Water-human harmony evaluation indexes Target Criterion Basic index Dimension Water- human harmony degree (WHHD) Natural water cycle’s health degree (NWHD) C1: Average water resources per person m3/person C2: Forest coverage % C3: Water production coefficient 104m3/km2 C4: Water quality regular rate % C5: Proportion of ecological water use % C6: Proportion of soil erosion areas % C7: Water resource structure dimensionless Social water cycle’s rationality degree (SWRD) C8: Degree of groundwater use % C9: Rural tap water rate % C10: Proportion of agricultural water use % C11: Repetitive use rate of industrial water % C12: Water consumption per ten thousand yuan GDP m3/104 yuan C13: Achieved rate of waste industrial water discharge % C14: Reuse rate of treated industrial wastewater % Human-to- water fitness degree (HWFD) C15: GDP per person yuan/person C16: Natural population growth rate ‰ C17: Urbanization rate % C18: Engel coefficient of rural residents % C19: Average number
Fig. 2 ANP- Entropy evaluation model Case Study Zhangye city is located in the arid and semiarid district in Northwest China which is traditional irrigation area and important commodity grain base of Gansu Province.
Tab. 2 ANP-Entropy model calculating results Year Scale of criteria level index Scale of target level index NWHD (0.2293) SWRD (0.4395) HWFD (0.3312) WHHD 2005 0.4860 0.3431 0.1204 0.3028 2006 0.0942 0.4068 0.2652 0.2272 2007 0.2444 0.4017 0.2646 0.3096 2008 0.1550 0.4085 0.3172 0.2797 2009 0.3711 0.4687 0.4352 0.4265 2010 0.4857 0.4531 0.5925 0.4930 2011 0.5602 0.5533 0.7625 0.5980 2012 0.5787 0.6635 0.9603 0.6902 Note: numbers in brackets below indexes are weights.

The river sand whose fineness modulus, silt content, bulk density and apparent density are 2.5, 2%, 1565 kg/m3 and 2650 kg/m3 respectively is sand in Weihe River, and it also has good grain size distribution.
Table 2 lists the types and number of specimens, the dosage of fly and the water-binder ratio.
Cubic compressive strength Types Serial number Fly-ash content Water-binder ratio fck(MPa) 3d 7d 28d clay ceramsite NA1 18% 0.36 23.6 28.3 37.2 NA2 20% 22.6 28.0 38.5 NA3 22% 22.3 31.6 39.9 NB1 18% 0.33 25.3 28.1 37.9 NB2 20% 24.6 28.9 39.0 NB3 22% 24.2 29.2 40.5 NC1 18% 0.3 28.2 32.0 41.2 NC2 20% 27.7 30.8 41.9 NC3 22% 27.2 33.6 43.6 fly ash ceramsite FA1 18% 0.36 21.2 26.5 34.8 FA2 20% 21.9 26.7 35.3 FA3 22% 20.7 23.9 36.1 FB1 18% 0.33 23.9 28.3 36.6 FB2 20% 23.3 28.5 38.0 FB3 22% 22.9 27.7 38.2 FC1 18% 0.3 26.3 33.2 42.0 FC2 20% 25.1 32.9 42.9 FC3 22% 25.0 33.6 43.6 shale ceramsite YA1 18% 0.36 30.5 36.7 49.4 YA2 20% 29.4 37.8 50.2 YA3 22% 31.2 37.2 50.8 YB1 18% 0.33 32.3 41.6 52.4 YB2 20% 32.1 40.1 52.8 YB3 22% 31.5 40.9 53.6 YC1 18% 0.3 33.0 42.7 54.3 YC2 20% 32.9 41.2 54.8 YC3 22% 32.1 43.2 55.9 Influence Factors Analysis Fly-ash Content.

A number of modern researches highlight the acceleration effect of nano additives [1-7].
The improvement of performance and durability of cement composites modified by CNTs is presented in a number of the researches [6-13].
Repin, Modification of the structure and properties of fine-grained concrete with carbon black dispersion, IOP Conf.