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The determined data are listed detailedly in Table 1.
Obviously, it could be observed that the crystalline peaks became relatively weak with the increased MD content, which demonstrated that the introduction of irregularity caused a reduction in crystallinity.
The TG data in Table 1 showed that Td rose with the increased mesogen content, which was thought to be ascribed to the introduction of the more thermally stable aromatic units.
Weight loss could be caused by the hydrolysis of ester linkages, followed by the subsequent reduction of molecular weight, to result in water-soluble oligomeric and/or monomeric products.

By using the data of certain factory, the limited value of original bending curvature is 1/300mm.Table1 shows the relevant parameters of the Tc4 material by consulting the China Aeronautical Materials manuals.
Large deformation strategy mainly relies on the empirical data.
Summary (1) Intermeshes are decreasing distribution at same temperature with small deformation strategy, and the higher the temperature the smaller the reductions
(2) Intermeshes of straightening roller 2#,4# are relatively large and 6#,8# are relatively small under at same temperature with large deformation strategy, and the higher the temperature the smaller the reductions

For automotive industries, reduction in thickness of shock absorption members can be realized if TRIP steel can be applied to them.
This advantage is connected to weight reduction of automobiles and improvement of fuel consumption may be expected.
A signal conditioner is used to amplify voltage signal and a data logger is used to acquire the data.

In additon, potential exists for a variety of microbially mediated process including oxidation of organic matter, nitrification, sulfate reduction, and microbially induced corrosion[5].
Results and discussions Six monitoring sites data was collected over approximately 12 months starting from July 2004 to August 2005.
Conclusions The data of BDOC in the water showed a high variation in summer.
This was attributed to the combined-action of all influence factors, on the one hand Residual chlorine oxidize organic matters in water increasing BDOC concentration, on the other hand bacteria consume resulting in reduction of BDOC.

Since dispersion of clay platelets in polymer can result in a reduction of moisture absorption, thermal stability, as well as significant enhancements of modulus, strength, and hence the overall enhanced performance of nanocomposites, many researchers have performed investigations in the new field of polymer/clay nanocomposites [2].
b a Fig. 3 Effect of organoclay loading on the nanocomposite flexural properties: (a) Flexural strength versus organoclay loading; (b) Flexural modulus versus organoclay loading Mechanical data revealed that the flexural strength of both nanocomposites first increased with augmenting organoclay content up to 3 wt% and then decreased (Fig. 3 a).
The reduction of flexural stength is probably due to the stress concentration resulted from larger and larger agrregates with further addition of clay content [8].
From the measured data of flexural strength and modulus of both nanocomposites, the organclay containing polymerizable terminal pendant group, MHAB-MMT, was found more effective to enhance the mechanical properties of nanocomposites than that containing unpolymerizable terminal pendant group.

Full-automatic pneumatic consolidometer is used, and all deformation data of the consolidation process are acquired in computer.
The shear test is performed on the sample upon consolidation with vertical load of 125 kPa and shearing speed of 0.8 mm/min, in which all data are acquired in the computer.
Therefore, the later phase of loading has smaller volumes of pore reduction and clay mass deformation.
Due to the high porosity of the soft dredger fill, the consolidation involves great deformation, with water content reduction up to 50%, which is lower than the liquid limit.

After completing, then the data is written to the load file
Secondly, VOLUME function is defined as a constraint function, while the amount of volume reduction of the bracket is set to 60%.
Besides, the volume reduction is, and the maximum deformation amount is reduced to.
By these two data, we can know that it is able to save materials in the manufacture of the cylinder, and that does not affect the performance of the cylinder.

However, peak level of pure tones may be reduced by reflection effect, that may be Covered by broadband noise levels，which makes it quite difficult to acquire actual pure tones data.
In this condition a remedial method is to change microphone geometry (change the reflection path length) and measure it again, then we can get the data with obvious pure tones peak.
The dashed lines in the figure represent the noise data of several engines in actual measurement and the data has not been corrected.
So the author will continue to analyze other influence factors for error reduction in the further research.
Prediction of Flight Noise Level by Using Far Field Noise Data of the Engine in Static Testing[J].

The results of CFD agree well with experimental data.
Table 2 is the results of unsteady propeller forces using 2D unsteady method based on nominal velocity distribution of both CFD data and experimental data.
The unsteady thrust, torque, vertical force and horizontal bending moment agree well with corresponding experimental data, and there is a little bigger error on horizontal force and vertical bending moment.
As there is flow condition difference between CFD and experiment, this may cause error, the CFD results should be corrected before comparing to experimental data.
Mautner: An Optimization Method for the Reduction of Propeller Unsteady Forces (AIAA 26th Aerospace Sciences Meeting, 1988)

Then the state of experiment data is divided using markov chain, the state transition matrix is constructed, finally the grey markovian model is established and wear prediction of metal materials against plant abrasive is gained.
In the study of wear properties of plant materials to metals, it need a lot of test data obtained through multiple abrasive wear tests to analyze, which is expensive and time-consuming.If the model established by few test data can accurately predict other more data, it will be convenient to study wear rules.Taking the wear test of plant abrasive to 60Si2Mn steel for example,the paper establishes the Grey Markov forecasting model to predict wear mass loss,which combines the advantages of the grey system theory and Markov model.
State transfer probability is ,i=1,2,…,n (4) Where, is the initial data sample from state to state through m steps transfer, is the initial data sample in state .If future transfer state of system is determined, variation interval [, ] of predictive value is also determined.Because division of state has many methods, the calculation methods of predictive value are also different.
Original data Reduction value Residual Range Status 1 53 53.00 0 0 3 2 18 113.97 95.97 5.332 3 3 109 108.30 -0.70 -0.006 2 4 204 102.92 -101.08 -0.495 1 5 129 97.81 -31.19 -0.242 1 6 117 92.95 -24.05 -0.206 2 7 85 88.33 3.33 0.039 2 8 76 93.94 7.94 0.104 2 9 87 79.77 -7.23 -0.083 2 10 64 75.80 11.80 0.184 2 11 32 72.04 40.04 1.251 3 12 45 68.45 23.45 0.521 3 13 62 65.05 3.05 0.049 2 14 79 61.81 -17.19 -0.217 2 each state as
GM (1,1) model was established by using the grey theory, On this basis, combined with Markov chain, the experimental data was divided, a state transition matrix was constructed, the Grey Markov forecasting model was determined, and the wear rate was predicted.