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Finally the creep reduction factor of confined and unconfined conditions is analysed in the actual project .
The creep reduction factor is mainly used in the engineering design .
Data acquisition system measures the amount of sample creep deformation through displacement sensors.
Based on the master curve,the long-term creep strength in the unconfined condition is=23.2kN, the creep reduction factor is,the long-term creep strength in the confined condition(100kpa)is=23.2kN, the creep reduction factor is
(6) Compared with two creep reduction factors,it is found that the creep reduction factor in unconfined condition is conservative .Applied to the engineering , take advange of the creep reduction factor in unconfined condition will make the project cost increased by 16%.The application to huge engineering will cost more.

In order to the effect of temper rolling reduction on the strengthening of Goss texture, temper rolling reduction was changed in the range of 2% to 8%.
A mechanism of grain growth during SIBM is suggested from our experimental data.
It can be found from observed EBSD data that the Goss grains have the lowest stored energy in all temper-rolled specimens, which is confirmed by average image quality value in EBSD measurements.
A mechanism of texture development during SIBM can be suggested based on obtained experimental data.
It can be found from observed EBSD data that the Goss grains have the lowest stored energy in all temper-rolled specimens, which is confirmed by average image quality value in EBSD measurements.

The data, including the onsettemperature of degradation (temperature at 10% mass loss, T0.1), mid-point temperature of degradation (temperature at 50% mass loss, T0.5) and the fraction of the non-volatile residue remaining at 600oC (labelled as char), are collected in Table 1.
Table 1 TGA data of PP and its composites Sample T0.1(oC) T0.2(oC) Char(%) PP 410.0 447.2 0.50 PP+10% co-o-LDHs 437.2 454.6 2.59 PP+10% ion-o-LDHs 447.3 463.1 2.98 PP+10% ro-o-LDHs 445.0 460.7 3.05 Fig. 4 TGA curves of PP and its composites LOI and UL94 testing.
The cone calorimetric data of PP and itscomposites obtained at a heat flux of 35kW/m2 are shown in Fig. 5 and Table 4.
The reductions in the PHRR are in agreement with the TEM results, based on many years of investigation, a micro-composite is expected to give essentially no reduction in the PHRR while a reduction is expected when the clayis well-dispersed.
The PHRR reduction for PP/ion-o-LDHs, PP/ro-o-LDHs at 10% additive load is 33% and 30%, respectively, but only a 20% reduction is obtained for the poorly dispersed PP/co-o-LDHs.

In this algorithm, original high-dimension data is reduced by Sectional Least Squares method, and after reduction dimension, it is transferred into precision data as network input.
Case Experiment and Intermediate Data.
All of the above data are listed in Table 1 in detail.
Then a second Elman neural network is constructed , data of which from result of PCA analysis against samples and the input data of which from PCA reduction high-dimension, and forecast data listed in Table 2.At last, these instance samples are operated on SLS characteristic compression and reduction high-dimension, and they are transferred to new samples, from which the third Elman neural network is designed and predicts testing instances, result statistics presented in Table 2.
It is found that where there is an intensive relativity of inner elements in the set of characteristic variables, and reduction high-dimension of characteristic variables is effective on both decreasing data redundancy and eliminating temperance of repetitive-correlative data.

The homogeneity of the solution was confirmed by comparing the viscometric data obtained from a TA Instrument controlled stress rheometer, using the 4 cm, 2º cone and plate geometry at a gap setting of 10μm, of a small sample (~500 ml) solution of the same concentration prepared separately.
Both UTP tap water and Polyacrylamide CFD results show confirming data with the experimental results.
In conclusion, while the data obtained from the experiments of polyacrylamide flow is not directly comparable with the Newtonian flow data for drag reduction analysis, it can be associated that the addition of the polyacrylamide drag reduction agents at the concentration of 1000ppm increase viscosity of the fluid to the point where the centrifugal force at the second pressure measuring point is overcome natural pressure decrease that happens due to the frictional forces applied to the flow via the pipe wall.
Acknowledgment The drag reduction polymers used in this research work and drag reduction effects were measured in the Flow Loop unit at the flow Assurance laboratory at Universiti Teknologi PETRONAS.
Hoyt, "Drag reduction in polysaccharide solutions," Trends in Biotechnology, pp. 17-21, 1985

The digging Shovel of corn stubble shop machine design and the performance of drag reduction test Yiyuan Ge1,a, Junfa Wang2,b, Liuxuan Ma3,c , Dongwei Shao4,d 1,2,3,4College of Mechanical Engineering, Jiamusi University, Jiamusi, China a65696787@qq.com., bwangjunf2934@sina.com, cliuxuan_m@163.com, dsdwshao@163.com Keywords: Agricultural machinery; Corn stubble; Biomass; Digging shovel; Response surface; Drag reduction Abstract.
As for the crops root stubble having the developed root system, the digging shovel with drag reduction has been designed for reducing disturbance to soil generated by soil-engaging components and decreasing power consumption.
Drag reduction performance test of the offset mining shovels is developed with the method of orthogonal rotation combination test design, law and importance degree of the four critical factors’ influence on traction resistance has been found, including shovel buried angle, slip cutaway, buried depth, and machine forward speed.
Drag reduction performance test Testing program.
Through data analysis, the traction resistance of various factors has been gained in the single-factor test, as shown in Figure 3.

As one cycle sampling has accomplished, arrange the sampling data according to the sampling order the digitization data is obtained [4], as showed in Fig. 1.
Both processing is the function of data processing unit.
In addition, AD9480 also outputs a synchronous clock DCO + and DCO-, which can be used to expand bit wide of LVDS outputs 250MH data stream and achieve frequency reduction.
Differential ADC data transmission and processing technology greatly improves the reliability of data transmission and processing.
High Speed Data Acquisition System Designed for Lidar.

Colligating the dimensionality reduction gray moment operator and the least square circle, the sub-pixel location of the inner circle centre was realized and the sub-pixel location precision was improved by applying the 3s iteration algorithm.
By the experimental data we can see the running time by the method of determining-circle-with-three-points is reduced two orders of magnitude compared with Hough transform.
Define an operator, when the operator is applied to the actual data, it will produce an ideal edge, the third-order gray moment of the two sequences of edge pixels is equal.
It shows that the dispersion of measurement data is smallest and higher precision.
The experimental data showed that the running time is greatly reduced, and it could provide the primary data for the sub-pixel location.

The (0002) peak was found to be located at 38.46 degrees 2theta, using data from PDF4 for the material.  
The texture scanning program used was X'Pert Data Collector.  
The data is summarized in Figs 6 and 7 (a).
Percent elongation and Charpy impact data show a reverse trend
· Charpy impact and percent reduction in area data show large variations in the results

To simplify this process and significantly reduce the required expense, an integrated parameter and data management concept is proposed.
Furthermore, the data exchange between products, machines, and a higher level controller can reduce the relative costs of information.
Manually added data, which is already available during the commissioning process (e. g. design parameters and data sheet information) and further user input data that is commanded prior to or during operation.
(e. g. from data sheets) and generate parameter information of type 3.
Large amounts of process data from the field layer (e. g. from existing sensors in the servo drives) become available for superordinate analysis using Big Data, Data Mining and pattern recognition methods.