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The results of the Tukey Test, before and after the degradation, showed statistical differences, ensuring that the data analysis was effective.
Using exactly 5% (0.05) for the MLS test, it was considered that the cumulative frequency function was distributed in classes and the data behaved as a normal distribution.
The standard deviation and the lot average are calculated by Equations (c) and (d), respectively: (c) (d) After calculating the minimum initial lot number, the minimum lot size (MLS) is calculated using Equation (e): (e) Where N is the number of batch data.
Based on this, the number of pieces utilized of five (5) was considered satisfactory.Then, to analyze the data outside of the central tendency, the Chauvenet Criterion was used.
Longnecker: An introduction to statistical methods and data analysis. (6th Edition. 2008)

Plastic deformation of dies and thermal fatigue are a much less significant reason of die failure according to statistical data.
The comparison with practical data shows the best approximation is observed when the amplitude of stresses is used.
This model agrees with literature data on the gradual reduction of the plastic strain of the dies during the first cycles.
These parameters were defined for steel H13 based on the data of work [10].
Additional experimental research is required to find out data for other tool materials that are essential for the proposed model.

Drop energy for each dynamic test was determined with respect to approximately the same deformation of all samples from extrapolation of data from quasi-static tests.
The measured experimental data of bonded samples during quasi-static test (Figure 3) and impact tests (Figure 4) are plotted in the graph-dependency of reaction force F on displacement u.
This violation mechanism leads to a reduction of the reaction force and the elongation of deformation compared to the bonded deformation element — Figure 5.
From the measured experimental data, it is evident that quasi-static tests do not suffice for determining the ability of the material energy absorption.
Experimental data obtained from the tests were evaluated and compared with test video recordings to identify the failure mechanisms and to determine their influence on the function of the deformation element as an energy absorber.

Table 1: The evaluation index system on the development level of industry cluster circular economy Target layer Criteria layer Index layer The development level of circular economy Economic development Per capita GDP Investment in fixed assets Rate of output per unit of land area Resources exploiting Energy consumption per unit of industrial output Energy consumption per unit of industrial output Environmental impact Wastewater emissions per unit industrial output Solid waste emissions per unit of industrial output COD emissions per unit of industrial output SO2 emissions per unit of industrial output Material recycling Comprehensive utilization of industrial solid waste Recycling rate of industrial water Emission reduction rate of industrial wastewater COD Emission reduction rate of SO2 Comprehensive evaluation model of the development of circular economy industrial clusters Construction of the evaluation matrix.
Set as the raw data of the index uij corresponding to the criteria layer U(i) of the industrial cluster which is numbered S.
The raw data is expressed in the form of matrix.
In order to be able to fully reflect the importance of the evaluation index, not only the experts’ experience and ability should be considered, but also the objective information data should be taken into account.
(1) In this equation， (2) The degree of dispersion of the j-th indicator’s evaluation data can be expressed as (3) represents Deviation degree; the bigger is , the more important is the index.

The commercial finite-element code ABAQUS/Standard ver. 6.4 was used to model the rolling process and the numerical data was compared to the experimental measurements in order to validate the code.
The sample was rolled in a single pass with 50% reduction at 11 revolutions per minute, and then quenched in water.
The comparison between numerical and experimental data shown in figure 8 is good, particularly considering the potential errors associated with the engraving method.
The numerical model has been validated using this experimental data.
Tuning the friction coefficient and the heat transfer coefficient was necessary to match experimental and numerical temperature profiles and the final results showed a very good match between predicted and measured data.

Transmission loss reduction based on FACTS and bacteria foraging algorithm, 4193(2006)222- 231. ], shop scheduling[[] N Zhang.
KPCA feature optimization extraction based on bacterial foraging algorithm When use KPCA to carry out feature extraction, kernel parameters and different kernel functions have a great impact on it, if the kernel parameter is unsuitable, the number of kernel principal opponent which cumulative contribution rate more than 0.85 larger than the dimensions of original data, and not achieve the role of dimensionality reduction at all.
Experiment Data acquisition.
In this experiment, for each type of bearing states, 150 groups of samples are collected, totally 600 groups, composed of 600 × 8 sample data set, and set up primitive feature libraries 1~3.
Selected feature library 1, feature library 2, feature library 3 as test data set, Set the initial population of bacteria is 50, Convergence Threshold is, optimization space: , Fig. 2 ,Fig.3 and Fig.4 shows all stages of spatial distribution of population in the process of optimization by bacterial foraging algorithm (Not units).

The obtained data will be used to calibrate the analytical equation describing the response of element exposed to both normal and shear forces.
The corner stone of the method is an ANN which transfers the input data obtained from the fracture test to the desired material parameters.
This model was created based on material data from previous research (see section 2 and 3) and has the following geometry: the beam flange was 1.5 m wide with the thickness 0.07 m, and the beam web was 0.14 m wide and 0.23 m high.
The material parameters have to be adjusted in order to achieve the best possible agreement with experimental data.
The obtained data about response of structural members and its statistical features are intended to be used for study of normal and shear force interaction.

Equipped with strain gauges and other measuring sensors, it will provide experimental data which can then be used for nonlinear aeroelastic analyses for other such kind of structures.
Aircrafts with high aspect ratio wings can experience large wing deflection during normal flight operation and this could cause reduction in the flutter speed.
The results indicate a significant change in the structural frequencies and a significant reduction in the flutter speed.
The slender high aspect ratio wing having very flexible aircraft has coupled nonlinear aeroelastic/flight dynamics and it is expected that it would provided valuable data in support to code validation.

From X70 (0.72 DF) to X80 (0.72 DF), the cost will have 12% reduction in material and 5% reduction in project.
From X70 (0.72 DF) to X80 (0.8 DF), the cost will have 21% reduction in material and 8.5% reduction in project.
Fig. 1 Influence of design factor on the incident rates ASME summarized the data from the OPS incident database from 1984 to 2001 in which the failure stresses were calculated based on the available data, and analyzed the relation between the stress (has direct relation with the design factor) with incident rate of pipeline, as Fig. 2 [7]shows.
Table 2 Statistical analysis results of X80 mill hydro test Line pipe Sample numbers Yield strength mean Standard deviation /MPa Probability above SMYSX80 95% Probability 99% Probability X80 14 1.21 SMYSX80 48.1 0.992 1.07 SMYSX80 1.01 SMYSX80 (3) The requirement for the impact energy of line pipes is not less than 220 J in the 2nd West-East gas pipeline project, and the statistical results for the impact energy test data of X80 steel pipes after going into mass production indicates that more than 90% of impact energy test data are above 260 J (Fig. 5)
(4) The statistical results for the impact energy test data of X80 girth welded indicates that 100% of impact energy test data are above 80 J (Fig. 6).

The relative contribution from water related species was dropped (Fig. 6b) in comparison with the data obtained by means of Al Ka source.
Temperature dependence of hydrogen, H2O and HCl emission upon heating of TiH2, mass spectrometry data.
Owing to the fact that dehydrogenation starts at temperatures well below 700oC, the oxide reduction reaction and refinement of titanium with hydrogen is possible.
The experimental data indicate that heightened starting oxygen content in TiH2 powder can be useful for the activation of titanium self-diffusion.
The Mg and Cl distribution mainly at TiH2 powder surface is confirmed by data before and after Ar sputtering, when Cl traces disappeared and Mg traces noticeably reduced (Figs. 2 and 7).