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Based on stress-strain data, processing maps of the steel were established.
At the same reduction, the stress increased with the increase in the strain rate and decrease in the temperature.
Fig.6 (a) shows the changes of elongation and reduction of area after compression under various reduction ratios and compression temperatures.
From Fig.6(a), it can be observed that the elongation and reduction of area increase with increasing the temperature and reduction ratio.
Fig.5 The changes of grain size at various temperatures and reduction ratios (a) (b) Fig.6 (a) Dependence of the elongation and area reduction on reduction ratio, (b) Dependence of the yield strength and tensile strength on reduction ratio 3.4 Critical forging penetration efficiency model The DRX rate D* is defined as D*=dD/dε where D is the volume fraction of DRX, ε is strain.

With the increment of temperature difference and reduction ratio the slab head bends more significant.
Furthermore, the reduction ratio of slab in one pass rolling is 10％, 20％ and 30％ in the research works.
The distribution of equivalent strain, stress and strain rate with 20% reduction ratio is shown in the Fig. 2.
(a) Equivalent strain (b) Equivalent stress (c) Equivalent strain rate Fig.4 Distribution of equivalent strain, stress and strain rate with double phase (a) (b) Fig.5 Y displacement of slab Summary The influence of temperature difference, reduction ratio and phase transformation on the front end bending have been discussed in this article, based on the 3D FEM and HyperMesh method with the production data of slab steel from a plant in China.
The temperature difference, less reduction and single phase rolling is beneficial to control front end bending.

Based on the data of the Statistical Center Bureau (BPS), the economic growth in this province during the years 2007 to 2011 is reaching almost 8 percent annually, in line with the growth of the electrical consumption in the same periods, accounting around 12 percent annually [2,7].
Potential Reduction on the Greenhouse Gas Emission.
Instead of target policy, technical strategy is also another important driver for the effort on the greenhouse gas reduction.
Methodology In present study, it calculates the annual greenhouse gas emission form the electricity generations mix in Southeast Sulawesi in 2020 and 2022, by employing the data of the projected annual electricity generation and projected power plant installed under the power supply business plan (RPUTL) of the state electricity company (PLN Indonesia) [2], combined with the lifecycle greenhouse gas equivalent of power plants obtained from the reports in [17-18].
Blok, The power sector in China and India: greenhouse gas emissions reduction potential and scenarios for 1990–2020, Energy Policy 32, (2004) 55–76 [12] C.O.P.

Then, a data pattern can be defined by the object and attributes from .
Table 3 The summary of experimental data sets.
Three data sets out of six are too large in scale to calculate in limited time.
An efficient accelerator for attribute reduction from incomplete data in rough set framework.
Principles of Data Mining and Knowledge Discovery 1263 (1997), p. 156-166

Reduction melting was carried out in graphite crucibles placed in a resistance furnace.
By the data of the analysis of equilibrium phase diagrams [21] of binary systems, the microstructure of the Al-Er master alloys should contain primary crystals of an aluminum solid solution (Al) and an [(Al) + Al3Er] eutectic.
Analysis of the microstructures of the master alloys under a scanning electron microscope (SEM) (Fig. 2) confirms the data of the phase diagrams.
The summarized data about size of the dendrite cells of (Al) and erbium content in the eutectic of master alloys are shown in Table 1.
Conclusions The novel Al-Er master alloys were prepared by the method of metallothermic reduction of chloride-fluoride melt.

Carbothermal Reduction and Nitridation of Çanakkale Origin Kaolin for SiAION Powder Production Z.
Table 1 gives the chemical composition of the kaolin, based on supplier's data.
The calculation of the stoichiometric amount was based on the data given in Table 1, assuming that the mineral was totally free from water molecules.
The change in and data from weight measurements before and after CRN show the success of the process.
Metselaar: Reaction-rate-limiting steps in carbothermal reduction processes.

The NRS extracts useful information based only on the data itself, and is used for redundant attributes reduction to make the selected features more objective.
But Pawlak’s Rough sets originally proposed to deal with categorical data, for numerical data must be processed after the discretization.
First, each attribute of the data sets are normalized to the range of 0~1, and then divided into two parts randomly, 60% of the data as training sets, 40% of the data as testing sets.
From Table 4, when the samples of the data sets are certain, the reduction features effectively shortened the operation time, especially for the data sets which have more samples, such as DALL, the effect became more obvious.
IEEE Transactions on Knowledge and Data Engineering 16(12) (2004)1457-1471

Based on the data of China Statistical Yearbook and China Environmental Statistics Yearbook, the pollutants discharge and energy utilization efficiency, including technical efficiency (TE), pure technical efficiency (PTE), scale efficiency (SE) and returns to scale (RTS) of China’s industry and its sub-sectors were analyzed by constant returns to scale model (CRS) and variable returns to scale model (VRS) of non-parametric data envelopment analysis (DEA) method.
∑jλjxj-s-=θx0 (6) ∑jλj=1,λj≥0,j=1,2,…,n s-≥0,s+≥0 DEA method principles Data source.
In the evaluation of environmental efficiency, the input data were the GDP of industrial output and the pollutants emitted, including waste water, waste gas and solid waste, the three kinds of forms.
Annual industrial GDP is from the Statistical Yearbook of China[10], and the data during 2001 and 2009 was transformed into comparable prices in 2001.
The energy inputs was from the Energy Statistical Yearbook of China[13], and pollutants data was from Environment Statistical Yearbook of China[14].

But this is the use of attributes reduction properties of the rough sets, to get the mechanism model.
Knowledge reduction is one of the core contents of rough set theory.In the knowledge system of S = ( U, A ), there are a lot of redundant attributes in A, while maintaining the same classification ability of condition, we can delete redundant attributes, this is the reduction of knowledge.
In the combustion rate under perturbation, the dynamic characteristics of bed temperature of pure delay can be approximated by two order inertial link a non minimum phase, according to Figure 2 income data, using the system identification method, get the combustion rate disturbance transfer function out of bed temperature response is as follows
Input error of traditional PI control simulation system E, input and output deviation change rate of EC u for data cleaning, data generated as the fuzzy control rules, first of all to initialize network subtractive clustering is used to generate the original fuzzy controller, controller, membership function is shown in Figure 4.
Summary Through data mining on the actual plant data, using rough set attribute reduction in the theory of the core properties, are all properties have great influence on the boiler bed temperature on the data processing of evolutionary, and get them to its influence degree, system identification model to generate the bed temperature.

The temperature data of 8 study sites The objective of this study was to find answers for the reduction of air temperatures by creating more vegetation in urban area.
To do this, we calculated the difference of temperature between the greening area and the non-greening area data.
Table 2 The temperature data of 8 stations.
Temperature(oC) Temperature difference (ΔT)(oC) Fig. 4 The temperature data of 2 stations on building roof during study period.
Temperature(oC) Fig. 5 The temperature data of 4 stations in street during study period.