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Citation & Copyright (to be inserted by the publisher ) Monte Carlo Modelling of Recrystallization Mechanisms in Wire-Drawn Copper from EBSD Data.
The complete experimental set of data was taken mainly from Electron Back Scattered Diffraction measurements in a Scanning Electron Microscope.
In the case of wire-drawn ETP (Electrolytic Tough Pitch) copper deformed at ∆=38 % (reduction in area), the calculations have been performed from several 200*200 µm² size matrix, defined with a step size of 0.5 µm (a hexagonal step has been selected).
From this data, the Avrami plot has been calculated.
Conclusions The Monte Carlo modelling from a complete set of experimental data has been applied to simulate nucleation and growth in wire-drawn copper deformed to a moderate strain.

Definition 4: The recovery cost of incremental version is defined as operation steps of reduction process based on a complete version.
The property of multiple versions in multiple-node is generally evaluated from those factors--the total stored information of version, the version’s generation rate and data security and reliability of the version.
To store information in versions as small as possible, to generate recovery versions as fast as possible, and to increase data security and reliability as high as possible, are the goals of this article.
Considering the factors of stored data of versions and using 2 intermediate base versions, we end computing after two iterative calculations. 3.5 Algorithm Analysis 1) Effect of optimization.
Data security and reliability and version query efficiency of versions in multiple-node information system have been increased by middle complete base selected.

Set up emissions data of a total of m years, there are a total of n emission targets emissions data for each year. is the input of CO2 emissions set, is emissions set, the matrix of the X is represented by the matrix Set up a total of n indicators, represents the i-th year of j-th index.
First, according to Chinese CO2 emissions two decades from the raw data ,we use support vector machine model and the BP neural network model to predict the Chinese CO2 emissions next six years, and the results are shown in Table 3.
Routing Attribute Data Mining Based on Rough Set Theory [J].
International Journal of Data Warehousing and Mining (IJDWM), 2006,23:
Based on rough set relative attribute reduction algorithm and decision-making method research [D].

Modeling showed that, when using the proposed combined charge, silicon extraction factor would amount to 69.25%, which agrees well with practical data.
JSC Kremniy (Shelekhov, Irkutsk Oblast), a RUSAL subsidiary, produces crystalline silicon by carbon-based reduction from quartzites using 16.5- or 25-MW.A three-phase AC ore-thermal furnaces (OTF) [5-7].
The Mg2Si distribution curve shows that this compound, produced in Reservoir 3 and then entering Reservoir 4, would cause the incomplete Si reduction and be present in the final product.
We believe the model is proven adequate, as the following indicators match per the model and per the production data: the phase state of the Fig. 4.
Analysis of simulation data proves the model adequate, which means we can recommend using the pelletized industrial waste of silicon and aluminum production to produce silicon by pyrometallurgy.

At first, the point cloud data of blade were gained using ATOS optical scanner.
Secondly simplified, smoothed and partitioned in Imageware, point cloudy data were created into curves.
Not enough data can bring errors.
Reversely too many data will fall run speed to affect later analysis work.
In reversing engineering, cloud data acquisition is crucial first step.

Data such as pressure [48–51], flow rate [55, 56], ultrasonic data [57, 58], acoustic emission data [59–61], and temperature variability [62, 63] have reportedly been used for leak detection purposes.
These data are transferred to the data analysis centre and stored in a database.
The use of high-quality data related to leakage in WDNs is crucial for data-driven and mixed-model approaches.
The research findings presented show that the success of data-driven and hybrid models and data-driven methodologies is significantly influenced by the quality of the data and the precision of the hydraulic model that is used.
In recent times, data-driven and the mixed data driven approaches were developed to improve the detection reliability of previous approach.

This method is essentially based on a chemical route aiming at the formation of oxides followed by their preferential reduction with hydrogen and further sintering.
The present work comments briefly some kinetic behavior of the copper and nickel oxides reduction with hydrogen as well as the characterization of the obtained nano-composite material.
The reduction then took place at 250 oC and a Cu-Al2O3 (0.5 wt%) was formed.
Results and Discussions In terms of thermodynamics, the copper and aluminum oxides reductions with hydrogen have opposite behaviours.
Conclusions The thermodynamics and the experimental kinetics data of the systems studied can demonstrate the possibility of sintetizing nano-composites, such as Cu-Al2O3 and Ni-Al2O3, through a chemical route to co-form the oxides, followed by selective reduction with hydrogen in the temperature range of 250oC (Cu-Al2O3) and 450 oC (Ni-Al2O3).

Electrochemical reaction occurring in the SOFC cathode is the reduction of oxygen, therefore cathode materials for SOFC have to posses many properties.
Introduction Electrochemical reaction occurring in the SOFC cathode is the reduction of oxygen as follows: (1) Air is the most practical and economical way to feed the fuel cell stack.
It can be concluded as follows: the contamination of trace impurities in air have effect on the SOFC performance; theoretical analysis of SOFC degradation was done in detail and GCI technique is considerably more effective in evaluating the electrochemical performance behavior as a function of time; further experimental data using LSM as cathode material verified the validity of the GCI measurement; electronic conductivity of cathode material plays the main role for performance degradation.

The obtained results show a reduction of about 140ºC in the clinkerization temperature, when a raw mixture with 5% phosphogypsum was used.
Taking into account this possible application, the objective of this work was to evaluate the influence of PG addition on the reduction of the clinkerization temperature and on the physical, chemical and mechanical properties of the resulting cements.
Table 1 Chemical composition of phosphogypsum as determined by XRF (wt %) SiO2 Al2O3 CaO F P2O5 SO3 CO2 LoI 4.9 0.6 31 1.2 1.1 40.1 1.2 11 Loss on ignition (LoI) Table 2 Crystalline phases present in phosphogypsum as determined by XRD (%) SiO2 CaSO4.2H2O CaSO4.1/2H2O CaSO4 K2SO4 KAlSi3O8 CaF2 11.3 46.0 36.4 0.2 3.2 1.8 1.0 DTA/TG data for PG are presented in Fig. 1.
For this amount of phosphogypsum, a cement was obtained with higher mechanical properties, at 28 days, even with a reduction of ~150ºC in the clinkerization temperature.
Derriche, Reduction of clinkerization temperature by using phosphogypsum, J. of Haz.

Analysis of Wind Turbine Weibull analysis software provides the life data analysis tools necessary to analyze data from all phases of product life.
The failure of WT components are calculated based on field data by using Weibull software.
The failure distribution data is shown in the table 1.
The most common type of yaw mechanism is based on a rolling slew ring bearing with a cogged inner or outer race and pinions driven by electrical motors over high-reduction gearboxes.
The tip of blade open slightly due to the low pressure developed in the hydraulic system and it make reduction in power generation.