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Material flow stress properties for FEM inputs were extracted from SPF tensile test data [4] for Ti-64 FGS and RTI proprietary testing data for Ti-64 STD.
Data was fit using the power law flow stress equation.
The strain rate has less effect on YS reduction in Ti-64 FGS, which implies that the forming time may not significantly affect the reduction in YS of the final product.
Superplastic strain has direct effect on percent reduction of YS.
These results are in agreement with the tensile property data, where yield and tensile strength properties are comparable in both directions.

The most prominent feature is selected by the method of nuclear, to transform the original sample data to the nonlinear characteristics of space, to achieve the final dimension reduction and data visualization.
Nonlinear manifold learning is an unsupervised and nonlinear data dimension reduction method.
A large nonlinear number data set a data image, whose attribute value in form of multidimensional data can be observed from different dimensions.
Fig. 3a is punctured sphere data set, which is a data set with a hollow ball shape.
Conclusions It is concluded that the nonlinear manifold feature extraction method is researched for data reduction which realizes the sampling data of original data dimension reduction.

According to Gomperts model for rectangular aperture, the sound reduction index of a wall with slits can be predicted.
CUI Cheng-xun[7] studied on the sound reduction index of doors with aperture at bottom by comparing measured data and prediction extensively.
The total sound reduction index of the partition with silts can be calculated from the area-weighted sound reduction index as shown in equation (1).
From these Figs, It is indicated that the most significative decrease on sound reduction index curve is found for the slit occurrence, the increases of the width and length of the slits produce an additional but limited decrease sound reduction index below the frequency of 800Hz.
Above this frequency, the additional sound reduction index drop down rapidly, and the curves of sound reduction index exhibit the dips whose frequencies are about 2000 Hz.

Our data structure is a practical linear space data structure that supports range selection queries in time with preprocessing time.
Our data structure is a complete binary tree.
This reduction is applied recursively by the algorithm.
This reduction is applied recursively by the algorithm.
The new data structure has similar or better speed than existing data structures but uses less space in the worst case.

Tight (a-d) and open jointed (e-f) claddings (Author’s collection) Although open joint ventilated façades are increasingly used for thermo-physical rehabilitation of walls, the choice between tight and open jointed systems is not usually made from energy efficiency reasons, due to lack of relevant existing data.
Data acquisition was done in a steady – state heat transfer, when the temperature variation on the hot plate was less than ± 0,1 ºC.
Corresponding to each considered geometry the recording session lasted 10-12 hours and the obtained data resulted by averaging the values of 3 minutes measurements.
Results and discussions Temperature reduction capacity function of the channel thickness.
The values were computed using measured data of air velocity and air temperatures at the inlet and outlet openings [9].

Band selection algorithm is most important in data dimension reduction of hyperspectral image.
The surface image data of the hundreds of spectral bands can be got by hyperspectral sensor to form a data cube.
Band selection methods are used first to do dimension reduction and filtration, and then data fusion is done to reduce the amount of data and improve the classification quality and precision.
Data fusion quality evaluation is the important step in data fusion.
The experimental data is cut out from the big image.

In this study, the green synthesis using chemical reduction of Premna serratifolia linn leaf extract was used to produce ZnO nanoparticles.
One of the environmentally friendly methods is chemical reduction using plant extracts in the fabrication process.
These flavonoid and alkaloid compounds can provide a role as a bioreductor in the synthesis of ZnO via chemical reduction.
The XRD data was compared with The Joint Committee on Powder Diffraction Standards (JCPDS) card for hexagonal wurtzite ZnO (JCPDS 036-1451) to identify the crystalline phases present in the samples.
The analysis of the XRD data from the samples synthesized at different calcination temperatures indicates that the obtained peaks match well with the characteristic peaks of hexagonal wurtzite ZnO.

Using the reduction method of the variable precision rough set,the hidden information in power transformer faults data is reduced , and the information which plays a major role in fault classification can be obtained.
The extended model of RST, Variable Precision Rough (VPRS) can overcome this restriction by introducing a probability value [7].Thevalue represents a bound on the conditional probability of a proportion of objects in a condition class which are classified to the same decision.The power transformer fault data was dealed with reduction, redundant information is removed to acquire decision-making rules.
Rough set theory Standard rough set theory.In fault diagnosis,due to the influence of various factors in the actual system, there are some inconsistence between in the test data and the actual value.
Such as in the oil dissolved gas analysis, test data inevitably contain the influence of interference and noise, so,the test data accompany with imprecision and inconsistency.
Pawlak, Rough Sets: Theoretical Aspects of Reasoning About Data,(Kluwer Academic Publishers, USA, 1991)

The Optimization of Calciothermic Reduction-Diffusion Process for Preparation of High-Performance Sm2Fe17Nx Magnetic Powder J.
Calciothermic reduction-diffusion (CRD) method was employed to prepare the Sm2Fe17 powder.
Different processes such as melting [1], mechanical alloying [5], calciothermic reduction-diffusion (CRD) [6-8] have been used for the preparation of the parent Sm2Fe17 alloy.
This result indicates that complete reduction of samarium oxide by calcium took place and the whole iron reacted with the samarium to form the Sm2Fe17 phase without forming undesirable phases such as α-Fe and SmFe3 which is difficult to completely remove by melting method [1,6].
The data shows that the coercivity and residual magnetization of the powder are 0.12kOe and 13.7 emu g-1.

The part with large area reduction is always accompanied by the appearance of core necking and tensile failure while small area reduction is associated with bad internal quality.
The data that have been sort out after experiment two are given in Table 3.
According to experimental data and related finite element analysis, the research about seeking the forming principle of internal rarefaction of parts revealed that most products with large area reduction have nice internal quality.
Several reasons are given for this phenomenon: (I) for parts with large area reduction, transient axial flow of metal is more than those products with small area reduction.
The boundary confirmed by the internal quality of product The permissible processing area The boundary confirmed by the rotation condition of part The boundary confirmed by the defects about core necking and tension failure Fig.7 Processing Boundary of Limited Area Reduction Conclusions 1) Regression analysis is adopted to deal with the mass experimental data.