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Study on Mercerization Orthogonal Experiment of Coniferous Wood Pulp Fiber Liu Quanxiaoa, Li Danxib, Xu Wencaic Printing & Package Material and Technology-Beijing Area Major Laboratory, Beijing Institute of Graphic Communication, Beijing 102600, China adrllqx@163.com bsimpleldx@163.com Keywords: Bleaching coniferous wood pulp fiber; Mercerization; Water-retention value; Surface morphology of fibers.
Experimental Materials and Equipment.
Journal of Cellulose Science and Technology, 1996, 4(2):13-18 [3] S.H.

The model being meshed would be shown in Fig.2. 2.2 Material Properties The FEA calculation of parts of material properties [3] mainly includes elastic modulus and Poisson’s ratio, as shown in Table 1: Table 1 Material properties Components Elastic modulus [GPa] Poisson’s ratio body 165 0.28 main bearing cap 165 0.28 main bearing 210 0.3 main bearing bolt 210 0.3 lateral bolt 210 0.3 2.3 Boundary Conditions Restrain the cap plane of the body to displace to direction Y, at the same time, restrain the nodes around the Cylinder head bolt hole on the cap plane of the body to displace to direction X and Z.
Science Press, 2005 (in Chinese)
Journal of Clinical Rehabilitative Tissue Engmeenng Research [M] October 22, 2009 VoL 13, No.43: 8436-8441

That is because the lap slice connection of high strength reinforcement requires longer length of the connection, and because issues, such as the secutiry of structural performance and an increase in the use of materials, arise.
To do that, optimized details can be built through the improvement of material performance or the improvement of a type.
Re-Bar 1 546.99 1079.52 11.02 732.52 1445.66 93.78 8.51 - 2 552.99 1091.36 12.66 729.75 1440.21 93.83 7.41 15 3 549.64 1084.74 12.10 732.20 1445.04 94.59 7.82 11 Average 549.87 1085.21 11.93 731.49 1443.64 94.07 7.89 13 A Type 1 541.19 1068.06 10.89 734.93 1450.42 74.14 6.81 5 2 569.88 1124.69 11.71 754.27 1488.59 75.83 6.48 5 3 531.45 1048.84 13.83 716.94 1414.91 69.65 5.04 7 Average 547.51 1080.53 12.14 735.38 1451.31 73.21 6.03 5 B-1 Type 1 569.74 1124.41 11.71 756.53 1493.05 78.19 6.67 6 2 573.06 1130.96 13.63 756.65 1493.28 86.66 6.36 8 3 573.06 1130.96 14.78 757.08 1494.14 96.71 6.54 7 Average 571.95 1128.77 13.38 756.75 1493.49 87.19 6.52 7 B-2 Type 1 550.17 1085.79 10.56 733.56 1447.73 75.04 7.11 8 2 543.08 1071.79 12.46 732.36 1445.34 72.45 5.81 6 3 549.46 1084.39 14.06 732.58 1445.78 82.64 5.88 7 Average 547.57 1080.66 12.36 732.83 1446.28 76.71 6.21 7 Acknowledgement This research was supported by National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science
Gallick, Experimental Study of Offset Mechanical Lap Splice Behavior, ACI Structural Journal, V.105, N.4 (2008) 478-487.

Figure 6: The sensitive to random input variables caused by random output variables As is shown in figure 6, the reliability of this model is mainly affected by material strength and load size, however, the effect of spring size is little obvious.
In this model, material strength has a contrary tendency with load size.
The bigger yield strength of material will decrease the possibility of failure, but the heavier load will increase the possibility of failure.[4,5,6] Conclusions After establishing model, loading and solving, the conclusion is obtained by reliability analysis that the design of spring under the load is reasonable.
Journal of Huazhong university (In Chinese), Vol.19(3)(2003), pp.96-98
Mechanical science and technology(In Chinese), Vol.23(5)(2006), pp.616-618

The virtual prototype of the biped robot, created by Pro/ENGINEER, is put into ADAMS and setting material, fixed joints, revolute joints, contact forces, frictions, torque and gravity are implemented for the virtual prototype to carry out dynamics simulation.
Acknowledgement It is a project supported by Jiangxi Science and Technology Program (20111BBE50029), Jiangxi Provincial Department of Education Project (DB201103093), "Air testing and evaluation" Aviation Technology Laboratory project (ZH200829002) funded.
[4] Lingling Che, Zhiliang Wang:Chinese Journal of Electron Devices Vol. 4(2007), p. 1462-1465,in Chinese

In order to overcome the problem, the composite base is introduced which is composed by both flexible and chemically stabilized material.
Now many countries have used the flexible material (i.e. unbound aggregate) to construct base such as America and Japan etc [2].
On the other hand, the initial cost of semi-rigid layer is much lower than asphalt material which is suitable for the developing countries.
The parameters of road material are listed in table 1.
China civil engineering journal, Vol.25(2):13-22 [2] NCHRP (2004).

Then the retained materials in each sieve and in the bottom pan were weighted.
Sorghum bagasse presented an elevated gross calorific value compared to other biomass materials.
In true density analyses, was observed that the smaller the size particle, the higher the material density, as expected for organic materials.
Bridgwater in: Progress in thermochemical biomass conversion, edited by: Blackwell Science Ltd., London (2001)
Roy: Journal of Analytical and Applied Pyrolysis Vol. 65 (2002), p. 111

Good example for this if we imagine the levels as the faces of a tetrahedron; in this case the summit of the tetrahedron will be the materials characteristics, the damage processes, the results of the destructive examinations, and the material properties databank.
Dudek: Materials Ageing and Component Life Extension, Vol.
Harrison: Materials Today (November 2002), p. 18. [3] J.
Picard: Materials Science and Technology Vol. 3 (1987), p. 743
Worthingham: Oil and Gas Journal (April 9, 1990), p. 54

Damage Severity Assessment Meanwhile, the ANN had also being used in damage severity assessment which can be imposed on concrete and other type of materials.
Aydin: Predicting the compressive strength of steel fiber added lightweight concrete using neural network Computational Materials Science Vol. 42 (2008), pp. 259-265 [9] C.
Sarıdemir: Prediction of compressive strength of concrete containing fly ash using artificial neural networks and fuzzy logic Computational Materials Science Vol. 41(2008), pp. 305-311 [11] U.
El-Bisy: Neural networks for predicting compressive strength of structural light weight concrete Construction and Building Materials Vol. 23 (2009), pp. 2214-2219 [13] F.
Demir: Prediction of elastic modulus of normal and high strength concrete by artificial neural networks Construction and Building Materials Vol. 22 (2008), pp. 1428-1435 [14] D.

Traditional packaging materials are mainly based on inert materials, which have no biological activity and are mainly environmentally unfriendly.
By observing whether the fault interface is stratified, etc., it can be judged whether different substances or materials can be perfectly combined.
Journal of Agricultural and Food Chemistry, 2018,66(2):395-413
Guizhou Agricultural Sciences, 2009,37(7):27-32
Food Science, 2013, 34(2):317-320.