Search results

The compositions were WC-10 and -20 wt% Co after reduction and carburization.
The degree of the direct reduction and carburization of the mixed powders increased with the reaction time.
The mean size of WC grains was increased as the reduction time and the cobalt content increased.
The mean size of WC grains in WC/Co composite powder was calculated by Scherrer's formula from the XRD diffraction data of WC(112).
The phases of WC, Co, and Co3W3C were observed after reduction and carburization at 900℃ for 1 hour.

The new algorithm through PCA dimension reduction for complex data, got the low-dimensional data as the BP neural networks’ input, it will be beneficial to design the hidden layer of neural network, save a lot of storage space and computing time, and conductive to the convergence of the neural network.
Combining dimension reduction of the high dimensional data with neural network organically is one of the hot spots in neural network algorithm improvement, which has made remarkable achievements.
The theory of data dimension reduction methods is many, here using the traditional principal component analysis(PCA) [9].
We use standardization to nomalize the raw data and still use X to represent the data we get.
Dimensions of raw data are reduced by PCA, which not only reduces data redundance but also eliminates influence of the relative factors.

Components of the methodology The main components of the methodology are: the conceptual model at catchment scale and pollution source basis; GIS database including inventory of the pollution sources, laboratory microcosm test results and site assessment data; GIS work; three tiered iterative risk assessment; risk reduction planning with the aid of the quantitative risk model focusing on fulfilment of the effect based quality criteria targeted for the surface water ecosystem.
The GIS database includes: site-specific data and parameters taking into account the Water Balance of the area [10, 11], geological data [12], the results of the microcosm leaching experiment [13], the natural risk reduction capacity of the site, and the results of the chemical stabilisation microcosm experiment [14].
In the GIS work TIN-based (Triangulated Irregular Network) DTM (Digital Terrain Model) was derived from the contour line data, consisting of more than 250 000 triangles, using ArcView3.1 3D Analyst [18].
The model can be further refined with additional data input, assuming various water uses and considering the solid transport.
Arendt (2005), p. 1331 [10] OMSZ, National Hungarian Meteorological Service, Meteorological data (2002) [11] D.

Sn-Ni intermetallic compounds have been prepared by a chemical reduction method.
In this paper, Sn-Ni intermetallic compounds have been prepared by a chemical reduction method.
Fig 1 shows the XRD patterns of the products prepared by chemical reduction methods with different Sn and Ni molar ratios.
Using the XRD data, the average grain size can be approximately calculated.
Conclusions Sn-Ni intermetallic compounds have been prepared by a chemical reduction method.

The correlation data obtained from Figure 1 were showed in Table 1.
With the reduction of electrical activity Cu+ and the precipitation of Cu on the cathode, the concentration ratio of oxidation state and reduction state matter changed continuously with the electrolysis time.
Table 2 lists a part of data extracted from Figure 5 and diffusion coefficient D of electrical activity Cu+ figured out by equation (2).
Fig.7 Chronoamperometry curve of NaCl-KCl-CuCl2 molten salt system Taking curve c in Figure 7 as an example, data of current I and time t data from the curve were presented in Table 3.
Table 3 I, t data from c curve in NaCl-KCl-CuCl2 syst t/s 0.354 0.506 0.809 1.011 1.263 1.566 1.869 I/A 0.808 0.788 0.758 0.745 0.731 0.720 0.712 t1/2/s 0.5953 0.7112 0.8993 1.0053 1.1239 1.2514 1.3671 t3/2/s 0.2110 0.3598 0.7273 1.0161 1.4196 1.9597 2.5550 （a） （b） Fig.8 Relationship between I~t1/2 and I~t3/2 in NaCl-KCl-CuCl2 system Doing linear regression to the datas in Fig.8, linear regression equations (3) and (4)are got.

Electrochemical data are summarized in Table 1.
XRD data (not showed), revealed a small diffraction peak displacement toward higher angles respect to that observed for pure Pt.
These values agree very well with previously reported data.
Sun, Tuning Nanoparticle Catalysis for the Oxygen Reduction Reaction.
Solorza-Feria, Enhanced electroactivity for the oxygen reduction on Ni@Pt core-shell nanocatalysts.

Introduction The transient angle test data analysis system refers to the study of transient angular displacement tube.
Noise analysis of PSD test system PSD test system transient elevation.PSD test system is composed of semiconductor laser, optical system, position sensitive device (PSD) composition and adaptation circuit, data acquisition card, data processing software and computer etc.
If handled properly, will not be able to measure the accurate data.
This paper uses the method of wavelet analysis for noise reduction of vibration signal acquisition.
The wavelet decomposition levels also have influence on the effect of noise reduction.

Taking into account that deformation is not uniform and the free surface suffers a phenomenon known as barrel-shaped, that is not covered by analytical methods, the data obtained will compared with those obtained with the FEM code ABAQUS.
The aim of this comparison between analytical and numerical methods using two commercial codes instead one, is a proposed way to validate a Finite Element simulation when experimental data are not available or do not exist yet.
Variation of the Stress with Reduction Coefficient.
Conclusions The data are consistent with the assumptions and simplifications that are made for the formulation of analytical techniques.
Finally, as similar results in compressive stress with both codes have been obtained, and both are two of the most popular codes in the industry and research field, the validation of a forging simulation with two FEM codes plus analytical method when no experimental data are available can be considered as a useful way of work.

It provides useful data for the die design and production design in metal forming process.
Fig. 8 shows the effect of initial height and reduction upon reduction of internal diameter.
Fig. 9 shows the comparison of analytical compression force and experimental data.
It is noted that the analytical compression force agrees with the experimental data and it is indicated present analytical model is valid for estimating the compression force during rotating compression of ring. 0 10 20 30 40 50 60 Reduction r (%) -40 -20 0 20 40 Reduction of Internal diameter (%) di = 12mm do = 24mm m = 0.4 Vo = 1mm/s ω = 0.16s-1 σ = 1MPa 1.hi = 8mm 2.hi = 12mm 3.hi = 24mm 4.hi = 36mm 1 2 3 4 Fig. 8.
Comparison of analytical compression force and experimental data.

Moreover, it allows for achieving global reduction instead of local zones of quiet.
These paths include electronics necessary for signal conditioning and data conversion.
The control performance is evaluated as noise reduction level observed by the room microphones.
Comparison of mean reduction measured by room microphones.
Comparison of mean reduction measured by room microphones.