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The source of lack of reconciliation of experimental and theoretical models might be: ü border conditions approximation, ü discrete character of distributed parameters of the structure, ü incorrect and simplified evaluation of physical properties of the model, ü inadequate bonding connections, ü reduction of the number of degrees of freedom for theoretical model to match the experimental model data.
In case of the lack of measured data at all degrees of freedom, the rows of Eq. 7 may be partitioned and the response disparity at master degrees of freedom be considered.
Nevertheless, to avoid model reduction, the matrix on the left hand side of Eq. 7 still requires data measured at every FE degrees of freedom.
Statistical and Numerical Methods of Analysis of Experimental Data, PWN, Warsaw, Poland, 1974

Analyzing the whole process in a computer, we can not only be visually got the information of the graphic data (such as temperature, stress, load etc) and also can predict defects.
Using the formulas and the methods we can calculate the diameter of the blank figure, rolling die bore height, the data of width and others which are used to design the shape and size of the roller die chamber.
The data is presented in the table of 4-2.
Conclusion and Discussion In this study, a new manufacturing method was developed in the stamping process of the shifting fork, which is used in actual industry, and the forming analysis of thickness reduction and winkle trend was performed.
Reduction in postforging errors for aerofoil forging using finite element simulation and optimization.

On the basis of radiation data the thermographs can be determined presenting the fields and temperature values.
In situation, when exposure time is too long, its reduction is possible through the reduction of frame size in direction of object motion.
Information and quantitative measurement data obtained from monitoring system can be used to control and optimize the process of hot metal forming.
Further works will be focused on the development of software particularly concerning the temperature data processing, algorithms for defect inspection, and data base with description of identified extrusion defects.

The load relaxation test had an advantage to collect data through a wide range of strain rate.
The flow stress and strain rate were then calculated from the load-time data following the usual procedure described in the literature [2].
The shape of stress-strain (�-�) curves could be divided into two groups; (i) continuous work hardening with strain and no yield drop behavior, (ii) a broad and rounded stress peak, before a gradual load reduction (yield drop behavior), followed by a saturation stress.
George and Baker expressed the equation for the temperature dependence of the yield Title of Publication (to be inserted by the publisher) stress in the yield stress anmalous region by assuming to be governed by the vacancy induced hardening as 2/1 ]) exp('[' kT E c anomal o =� (1) These simplified functional forms have been fitted in Fig. 5 to the data in Fig. 1.
Clearly, by judiciously choosing the fitting parameters, it is possible to match the calculated value with the experimental data quite well.

It is composed of a bag separator, fluidized bed body, the air distribution plate, the air chamber, air compressor, orifice flow meter, pressure transmitter, data acquisition, and a computer.
We choose data USB2008 card as acquisition model, of which the resolution is 14-bit, data sampling frequency is 10KHz, and sampling length is 60001.
When the bed height(h) is certain, pressure fluctuation signals under different working conditions arecollected by data acquisition board.
Fig. 3: Structure of wavelet decompositionFig. 4: The coefficients of waveletdecomposition Generally speaking, the reduction processofthe original signal including noise can be divided into 3 processes: the wavelet decomposition of the signal, threshold quantization in high-frequency coefficients of wavelet decomposition and signal reconstruction.
During the denoising process ofthe original signalby wavelet, in order to get a better denoising effect, it is important not only to select the appropriate wavelet basis, but also to select the appropriate threshold and the threshold.To some extent, the quality of signal noise reduction is related to the selection of threshold.

The paper presents the results of the experimental tests on T-stub connections and weld details at room temperature and the validation of numerical models against experimental data.
When the distance between bolt rows increases from 100 to 120 mm, there is a reduction of the resistance, but the deformation capacity increases.
When bolt row distance has been increased to 140 mm, the deformation capacity increases without any further reduction of the resistance.
It may be seen that there is a good correlation between the FEM results and the data obtained from 3D image monitoring with respect to specific strain maps. 5.0mm 41.5mm 2.5mm 46.0mm 0.0 0.64 0.0 0.78 0.0mm 44.0mm 5.0mm 40.3mm 0.0 0.61 0.0 0.61 a) b) c) d) Fig. 11.
Numerical models have been validated against the experimental data obtained in static and dynamic tests.

Subsequent analysis was performed using scanning electron microscopy, (SEM; Zeiss SIGMA FEG-SEM), focused Ga ion beam milling (FIB; FEI FIB 201) and high spatial resolution 3D tomography using an FIB-SEM dual beam (FEI Helios NanoLab 600i, data collection using FEI Slice and View G2 V1.0.1 software and data reconstruction utilising Amira 5.3.3 software) Results and Discussion Prior to creep testing, the specimens were examined metallographically, to assess the extent of grain boundary creep damage following both service exposure and then the subsequent post-service sintering heat treatment, figure 2.
Table 3: Phase area% EBSD data for the specimens.
Specimen name Area% BCC phases (α/δ-ferrite and chi-phase) Unaged <0.1 Ex-service 1.5 Heat-treated 2 The creep test data is given in table 4.
As can be seen, it broadly conforms with the theoretical expectations discussed in the introduction – the service ageing leads to a significant reduction in time to failure, a moderate increase in creep strain and a large increase in creep rate.
The reduction in creep would be expected given the presence of pre-existing cavitation generated during service, likewise the measured increase in precipitation correlates well with the increased creep rate The sintering heat-treatment resulted in a partial recovery of creep life, extending the time to fracture by 48%, and significantly higher creep strain and creep rate.

Research on User Classification Based on Usability Tests of General-purpose Emergency Maintenance Vehicle User Models Liu Ning1, a, Wu Leiming2,b and Shi Hongxia1,c 1The Department of Military Logistics of The Academy of Military Transportation, Tian Jin, China 2The Department of Research of The Academy of Military Transportation, Tian Jin, China a786253247@qq.com, bfrankwlm@126.com, chaotiutiu@163.com Keywords: general-purpose emergency maintenance vehicle, usability tests, user classification Abstract: In the ZB General-purpose Emergency Maintenance Vehicle usability testing, in order to find out the proper selection of test user types, and the best combination of user classification, the author classified the usability testing results by cause, and analyzed the data statistically.
No experience can be used for reference or comparison in the choice of test samples, so the results can be used as reference and data accumulation for further research.
Data analysis as shown in figure 1, figures 2.
Therefore, they can find whether the cabin design is in conform to purpose, action and cognitive identity, especially learning identity and error reduction according to their own inherent action characteristics.
Due to lack of experience to be referenced or compared, the results can be used as reference and data accumulation for further research.

The two methods show a good convergence with the experimental data and the optimum process parameters combinations where maximum voltage and maximum current are obtained.
For V and I (Larger – the better Characteristics), the individual response (data) is divided by the total response value (∑V and ∑I) .That is, for each response data, voltage and current is obtained and then WV and WI are computed.
Hung – Chang and Yan – Kwang (2002) [5] proposed a Data Envelopment Analysis based Ranking (DEAR) method for optimizing multi response Taguchi experiment.
Step 2: Transform the observed data of each response into weighted data by multiplying the observed data with its own weight.
Step 3: Divide the observed data of larger – the better type with weighted data of smaller – the better type or normal – the best type.

The interaction energy between atoms is deduced from the published thermodynamic or kinetic data [16-18], and the details are as follows: The interaction potential between the same atoms is calculated as follows[19]: (3) in which Ecoh is the cohesive energy.
After MCS of 1´104, the average size of the Zn/Mg clusters in the alloys with Er is smaller than that in the alloys without Er, and the reduction percent is about nineteen percent.
Farther more, the reduction amount of average size and the increment amount of number density of Zn clusters and Zn/Mg clusters increase with enhancement of Er content in the alloys.
Numerical Data and Functional Relationship in Science and Technology (Vol. 25) : Atomic Defects in Metals[M].
Numerical Data and Functional Relationship in Science and Technology (Vol. 5): Phase Equilibra, Crystallographic and Thermodynamic Data of Binary.