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A second mesh, which is fine over the entire volume of the workpiece, is used to store the nodal data and simulation results, which get transferred to the simulation mesh every time a remeshing operation becomes necessary.
In combination with an adopted data transfer algorithm, this second mesh is used to minimize the loss of accuracy, if a previously finely meshed area becomes a coarsely meshed area.
The time saving is lower than the reduction of the number of the degrees of freedom to be simulated because of the additional data transfer operations and the additional memory required by the multimesh method.
Based on these data, the microstructure changes i.e. recrystallized volume fraction and grain size, as well as the microstructure dependent flow stress are calculated by Strucsim.
With this flow stress, the forming data for the next step is calculated by the LARSTRAN [4].

The transmission electron micrograph of the ASB in forged and rolled TA2 showed the grain size reduction from ~20µm to 200nm.
A number of quasi-static loading rate studies on this material have been carried out by means of various numerical, analytical and experimental methods, and their results have been published [3、 4].However, the data obtained for this material at dynamic loading and with high strain rates is scanty.
ε ε 'ε σ σ t t t Pressure Control System Strike Bar Incident Pressure Bar Transmitter Pressure Bar Output data Dashpot Oscilloscope Filter Sensor PC Signal Amplifier Strain Gage 1 Strain Gage 2 Specimen Fig.1.
The grain size reduction is of great degree in ASB (from ~20µm reduced to as small as 200nm).

[3] found that climate change led to 5%-10% reduction in average productivity of China’s crops, among which, such three major crops as wheat, rice and maize chiefly experienced yield drops.
Data sources and Methods The data are provided by Shangqiu Metrological Bureau and Shangqiu Agricultural Bureau, respectively.
Metrological Yield where represents the yield component affected by short-cycle factors dominated by metrological factors, namely metrological yield; refers to per unit area yield; and represents a function of time tendency simulated from the original yield data, namely trend yield; e refers to the yield component affected by such random factors as pests, diseases and social turmoil.
For example, extremely-low temperatures in April and May are unbeneficial for winter wheat production (Table.1), which is in accordance with the result that food production often experienced reductions caused by extremely-high and extremely-low temperatures in critical growth periods.
Warm-and-dry climates characterized by increased air temperature and decreased precipitation aggravated the situation of water shortage and brought about reduction in productivity.

The procedure of the proposed neural network incidence rate prediction model based on the rough set theory in this paper is as follows: · Construct the decision table on the incidence rate of history data and related information historical data
Set the number of sample data set is, divided it into small zones.
We first division the sample data from childhood in this article, then choose the cent point in turn, make the number of the fall sample data of each interval is.
The original data is obtained from Qinghai Haixizhou first people's hospital, incidence rate data and meteorological data from January 2003 to December 2009.
Finally, we using the original historical data to train the network, and set the learning times as 1000, the learning curve is shown in figure 2.

Suppose there are sufficient data, we expect each data point to lie on or close to a locally linear subspace of the manifold [2], and this point of view is precisely coincident with the conception of manifold.
To recognize one class to one of the training classes, the most effective solution belongs to finding the common views and then measuring the similarity of those data sets [5].
Provided there are m local linear subspaces , where denotes a data matrix of the i-th subspace with an image in each column.
The dimension of PCA is set to preserve about 95% of data energy.
MMD concerns with matching image sets in the original data space [5].

The sequence from measurement to the fitted data is shown in Fig. 5.
The differences between specific volume data of the fitted data in the melt state and the measured pvT data in the Pirouette dilatometer decrease with increasing pressure.
Material Autodesk Moldflow (a) Pirouette (b) PP HDPE POM PBT ABS Fig. 14: Numerical simulation of shrinkage and warpage of the sample with Moldflow pvT data (a) and Pirouette pvT data (b) Comparison of results with different pvT data.
For both pvT data, the shrinkage prediction is very different.
Overall, the results of shrinkage calculated with Pirouette pvT data are closer to the experimental shrinkage data.

Such data are needed to formulate precise constitutive equations for strain rate sensitive materials.
Based on an investigation of experimental data, strain rate sensitivities of flow stresses of these materials were clarified for the wide strain- rate range.
The values of the reduction in area, f = (A0 - AF)/A0 × 100 (%), of the tested test pieces at each strain rate Figure 10.
Reduction in area of the test pieces tested at each strain rate for SPCE and SPFC 440.
[3] MSC.Dytran Reference Manual, Chapter 5: Bulk Data Entry Descriptions, Tanimura-Mimura Yield Model(YLDTM) ,5-475 (2003)

Results and analysis The results regarding the compressive strength, water absorption by capillary rise and chloride permeability of the different concretes are graphically depicted in Fig.1, 2, and 3, respectively. 4-1 Compressive strengths The data regarding the variation of compressive strength with respect to concrete age and curing condition for different types of concrete in the two mediums are shown in the Fig.1.
This reduction in the water absorption with age indicates better performance of concrete with GGBS over reference concrete.
The incorporation of 17.5% GGBS is very advantageous; it allows a reduction in water absorption rate from 78% to 77% at the age of one year.
While our test revealed a reduction of 88%.
- Finally, it was noted that the pozzolanic action effectively contributes to the reduction of chloride ion penetration and water absorption rate and increase the durability of concrete.

The noise attenuation analysis of diamond circular saw blade Saw blade noise reduction measures can be analyzed from three levels.
Because the frequency is proportional to the noise, i.e., slotted can have noise reduction effect.
The analysis of data from table 3 can obtain the range of low-order modal natural frequency.
Conclusion The natural frequency of slotted is smaller than without slotted saw blades, i.e. slotted can have noise reduction effect.
Henry, Noise Reduction Achieved With Slotted Blades.

A monitoring tool acquires experimental data from a bearing vibration control test rig.
An accelerometer captures the signal from the bearing outer ring then it is processed using PCI-4451 National Instruments data acquisition board and LabVIEW soft.
A diagnostic tool as the result of experimental data collected from a bearing vibration control test rig is created.
The bearing radial control force is realized by a dynamometer and an accelerometer capturing the experimental data from the outer ring.
Before any processing, the data has been cleaned from any associated noise by passing through a high pass filter.