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So in the course of change steel grade St.3sp to steel grade 40, this reduction is equaled to 0.2 m/min, and for steel 85 is 0.4-0.5 m/min, depending on the billet cross sectional area.
Absolute and relative values of speed reduction for different steel grades and cross section Steel grade Cross section, mm Absolute value of speed reduction (∆V), m / min Relative value of speed reduction (∆V), % St.3sp 150 × 150 0.9 30 152 × 170 0.9 33  40 150 × 150 0.9 32 152 × 170 0.9 36 85 150 × 150 0.6 24 152 × 170 0.6 26 It is known [4-6] that the increased content of harmful impurities in steel, in particular sulfur, has a negative effect on the speed of metal casting.
An array of 96 melting data was investigate to clarify this effect.
The presented data indicate, that the sulfur content in the considered range did not have a significant effect on the withdrawal speed of the billets.

Results and Discussion Step one was to statistically process data on the chemical composition and mechanical properties of bars, see Table 1.
Considerable data scatter in the diagrams is due to neglect of other factors in the analysis.
Transition from globular structure to lamellar structure was associated by a ~90 MPa reduction in the tensile strength and a ~10% reduction in the reduction of area.
Statistical tests of production data have been used to analyze the correlations of mechanical properties, chemical composition, and structure of annealed rolled VT6 bars 16 to 150 mm in diameter. 2.
A Layman’s Introduction to Data Mining in STATISTICA (Populyarnoye vvedeniye v sovremenny analiz dannykh v systeme STATISTICA).

To confirm the calculated data, the melting process of the alloys was experimentally studied via differential scanning calorimetry (DSC) analysis, performed with a TA Instrument Q600 apparatus equipped with Universal Analysis 2000 software.
Anyhow, the lower silver content results in a subsequent reduction in feedstock material costs.
Sample A Sample B Liquidus T° 630 628 Eutectic T° 576 569 36% of Fs 612 611 47% of Fs 604 602 Sample A Sample B Liquidus T° 630.5 630 Eutectic T° 576 564 Calculated data Measured data Tab.
The curves reveal that the reduction of the viscosity due to hardening elements (sample B) is in the range of 50%.
Investigations with lower solid fraction of 36% show similar results. 0 5 10 15 20 0 50 100 150 200 250 shear rate [1/s] viscosity [Pa s] 0 0,25 0,5 0,75 1 viscosity reduction (ηηηηA - ηηηηB)/ηηηηA [-] sample A 47% sample B 47% viscosity reduction 1 1,2 1,4 1,6 0 5 10 15 20 time [s] normalized viscosity ηηηηscale = ηηηη/ηηηηequ [-] sample A, d = 185µm sample B, d = 185µm Fig. 5: Equilibrium flow curves (fs = 47%) for sample A and B showing reduction in viscosity of ~ 50% (left); Normalized viscosity at 200 1/s for 47% solid fraction (right); all data extracted from figure 3 right The similarity in time-dependent behavior mentioned above can be seen more clearly on the right side of figure 5.

Different strategies have been developed to fabricate oxygen deficient TiO2 photoanodes, such as hydrogen treatment, thermal annealing, electrochemical reduction, flame reduction, and chemical reduction.
Flame Reduction Method.
Other Chemical Reduction/Oxidation Methods.
The probe beam can also be in the form of a white light to allow multiple probe wavelengths at the same time, significantly reducing data acquisition time [160, 165, 166].
The two-dimensional false-colored TA data of the H-TiO2 and TiO2 with UV (380 nm) excitation indicate the spectral location of the maximum transient bleach (TB) features (Figure 15b and c).

Synthesis tool for example design compiler (DC) can also find low-throughput data paths and automatically done this work.
Dealing with voltage Supply voltage reduction can reduce power effectively.
According to the formula Power = IV = V2/R, A 50 percent reduction in the supply voltage results in a 75 percent reduction in power.
Table1 Contrasts between two design flows category ULL flow Normal flow total dynamic power cell internal power 4.4750 mW 8.1424 mW 6.5583 mW 12.2461 mW net switching power 3.6673 mW 5.6879 mW static power Cell leakage power 1.9220 uW 13.2836 uW From the data of table, both the static and dynamic power is reduced.
Reduction power consumption becomes extremely urgent.

Internet browser Center control module Data collection and fault alarm module Graph drawing module Data storage module Fig. 2 Software Architecture of Remote Network Monitoring Model In the Fig. 2, the remote network monitoring model includes five modules: center control module, data collection and fault alarm module, graph drawing module and data storage module.
The data collection module is responsible for collecting data from manufacturing computers every certain time, and the data not only included the information about the manufacturing computers but also the information about the manufacturing machines and devices.
When the data is collected, it will be sent to the data storage module.
The data storage module’ role is to store and sort the data and information about the manufacturing computers, machines and devices.
Querying Getting data and drawing graph Collecting data Fault alarm Returning graphic and other data User querying Storing collected data and device information Getting graphic data and other data Internet browser Data collection and fault alarm module Data storage module Sending Collected data Graph drawing module Center control module Fig. 3 Workflow of Remote Network Monitoring Model Implementation According to the remote network monitoring model, the remote network monitoring software is implemented, which includes two parts.

This paper proposes a new method to predict the spindle deformation based on temperature data.
For building the predictive model, we first extract temperature data from sensors in the spindle, and then they are used as the inputs to train ANFIS.
In order to enhance the robustness of the proposed model, the experimental data sets should spread throughout the normal entire machining process.
The temperature and spindle thermal deformation were measured and recorded at a sampling interval of 5 min, including 110 data sets covering 550 min.
Lee, Integrating fuzzy data mining and fuzzy artificial neural networks for discovering implicit knowledge.

Polymer or small molecule surfactants are used to control nature of aggregation of nanoparticles produced by chemical reduction synthesis routes.
We shall be discussing the role of starch on the aggregation characteristics of copper and silver nanoparticles formed by chemical reduction in aqueous conditions.
Experimental details AgNPs and CuNPs are prepared under two different chemical reduction conditions [3, 4].
SAXS data was collected using Panalytical X-ray generator (PW 3830) having SAXS 896986 Anton Paar mounted on it.
We recorded the SAXS data in the q-range 0.125 to 6.5nm-1.

According to the basic theory in quotient space granularity world, we can analyze data sample from different levels of granularity and preprocess these sample data.
This is mainly a partition of the data set about the equivalence relation.
We describe the sample after the dimension reduction through one dimensional data and we sorted for one dimensional data values in descending.
Step 3 we describe the sample data after the dimension reduction and normalization by one-dimensional z value, , .
We get the data sheet after summary of sample data and the normalized processing, as shown in table 1.

The use Global Positioning System (GPS) derived data for the creation of a management database is discussed.
Geospatial Information System (GIS) technology is a tool which aids in the administration and analysis of geo-spatial data, predicts trends, integrates and presents real-time data in all mobile and stand alone systems, and acts as mobile data management.
The study includes: Literature review; field data acquisition; geospatial data acquisition together with transect cutting; accurate positioning of soil and water sampling points; determination of the vegetation boundary for preparing land use maps of the impacted area; the laboratory analysis of the data and computing/ data analysis.
Data processing and representation: The acquired field survey data were reduced and computed to give the coordinates of the spill site, and terminal points of the transects.
Management database for the data generated from Jesse spill and fire site: Since most of the data acquired from topographical maps and field surveys were used for geo-referencing of soil sampling points, water sampling points; vegetation etc, their spatial data as well as their attributes were stored, managed and queried in a GIS management database.