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Development of Pass Schedule Calculation Procedure Data preparation.
Data preparation is the module to prepare data for model calculation.
These data include initial data of strip, roll data, equipment parameters, limit check data and model parameters.
After the initial data are confirmed, the model system will carry on limit check to judge the rationality of the initial data.
The result of calculation value and actual data are shown in Table 2.

The displacement has been studied for three typical kinds of aluminum reduction cells (semi-graphitic, graphitic and graphitized) after 30 days start-up.
Clearly, in our country, the 350 ~ 400KA aluminum reduction cell has gradually become the mainstream, and the cell deformation increases with the higher amperage [4].
Researching the relation between the graphitization degree of the cathode materials and the cell deformation on the basis of the thermo-electric field analysis, this paper could provide the valuable data for the cell technical improvement and the development of the new cell.
Table 1 Properties of cathode materials used in the aluminum reduction cell Material Thermal expansion coefficient (10-6) Elastic modulus (GPa) Density (g/cm3) Thermal conductivity (W•m-1•K-1) Sodium expansion coefficient (10-6) M P M P M P 0.31(1.0%wt) 0.63(2.0%wt） 1.0(3.0%wt) 1.62(5.0%wt) semi-graphitic 2.8 3.5 8 6 1.56 36 30 graphitic 2.8 3.3 8 6 1.59 65 58 graphitized 2.5 3.0 7 5 1.62 110 105 Calculation of thermal field.
The displacement of the 350kA aluminum reduction cells with graphitized cathodes was measured from preheating to 30 days after startup by using mechanical displacement instrument.

For our case study, we will choose the LSC as a generic strategy of the SC for the following purposes: - Cost reduction; - Flexibility; - Reduction or elimination of all waste.
- Logistics e-information, the request of information related to logistics data to determine the optimal use of transportation resources, warehousing and maximize the value of customer satisfaction
- The product and process e-information, which is a web-based tool and takes care of performance tasks and synchronization of product design content, linking the design teams of different members of SC, product data management as well as direct customer configuration flows and design software
Demand Management In its purest form, such a system would developed from point-of-sale data, which would then be transmitted upstream to all SC members, point to point, with no change in volume, with requirements of the end user for the finished product.
The progressive and dynamic influences that allow the improvement of the SC such as: - The reduction of the cost; - The reduction of Lead-time; - The improvement of quality.

Thermal errors can be predicted and compensated for by using mathematical models that apply data from a number of temperature points related to the increase of thermal errors and incorporating these errors within the general volumetric error model to form a synthesized model [3, 4].
The thermally induced volumetric error prediction accuracy of the model proposed above was verified by simulation results based on publically available data [7].
The measurement refers to datum plane B, which is the origin of the WCS.
The reduction of positioning errors by compensation is summarised in Table 2.
The absolute reduction of the positioning errors of drilled holes was an average 30.44 μm at the thermal stable stage, while the average relative reduction ratio of these errors was 77%.

In order to assess the comprehensive quality of Jeep front-flank bracket rationally and effectively, use K means cluster method to analyze the cluster of condition attribute data, data separated into categories will be discretizated into integer according to the characteristics of the data distribution.
In order to reduce the workload of detection and avoid the interference of complex data, use rough set toolbox to reduce attributes and get core data.
The centra data of A products are(-1.3560±0.6423, -3.3690±0.4848, -2.4180±0.5930, 0.0720±0.4515, 0.7210±0.2528, 1.4210±0.2854); the centra data of B products are (-2.1690±0.5137, -3.4650±0.6042, -2.4470±0.5774, 0.5140±0.4847, 0.8520±0.7974, 1.5680±0.5600), the centra data of C products are(-2.3120±0.4351, -3.7670±0.5022, -2.4440±0.7209, 0.5080±0.5208, 1.2990±0.5204, 1.2540±0.4825).
Simplex search method of optimization can get the actual centre data of jeep front-flank bracket accurately
[3] Chen Web-wei, Data warehouse and data mining tutorial, Tsinghua university press, Beijing, 2011, pp. 162-165

The reduction of the LTEC appear in HDPE/bamboo composites was dependent on the matrix and filler.
Thermal expansion is less of a mechanical phenomenon and more of a thermodynamic event[4], the data is one of the important engineering design parameters.
The length and temperature data were recorded and analyzed with TA’s Universal Analysis software.
Figure 1 Sample and configuration of a typical TMA apparatus Statistical Data Analysis Duncan’s multiple range tests for pair-wise comparisons were used to test the effect of various treatments on measured properties using Statistical Analysis Software SPSS 20.0.
Typical dimensional change data in relation with temperature for the composite system is shown in Figure. 3.

Similar results in Fe(III) reduction activity for Sh. putrefaciens and the enriched consortium C-5124 were observed.
Enzymatic Fe(III) reduction is known for e.g.
Ferric iron reduction by At. ferrooxidans was only stimulated once the pH was increased to a value of 1.8.
At. thiooxidans achieved the highest values of cobalt (78%) and manganese (70%) in solution in only seven days, while At. ferrooxidans required 27 days of treatment to reach a similar amount of dissolved cobalt (75%) and manganese (65%) (data not shown).
Hence, the ability of At. thiooxidans to tolerate extremely low pH at which to produce large amounts of sulfuric acid and to reduce ferric iron aerobically under those conditions suggests At. thiooxidans as the preferred candidate over At. ferrooxidans for reductive dissolution of laterite overburden in agreement with previous data on reductive dissolution of laterite tailings [10].

Research Methods and Data Collection Research Methods.
(3) The calculating and judging of the forest and grassland carbon absorption coefficients are based on empirical data from the previous studies.Owing to the lack of energy consumption data of “Statistical Yearbook” and relevant statistical data, it calculates and predicts the total energy consumption through analyzing the relationship between energy consumption and economic growth in G.D. on this paper.
This paper adopted the current data of land use in G.D.
While some cities’ developing data obtaining from City Development Planning of Guangdong Province (2006-2010)”.
Among them, the data of Land-use planning of 2010 were obtained from Land Using Planning Outline of Guangdong Province” (2006-2020).

A life prediction was then carried out using constant amplitude compression dominated loading for various exfoliation corrosion levels by AFGROW, and the prediction agreed reasonably with the available test data.
The radius of this initial discontinuity for the LY12CZ has been determined to be 0.084mm based upon numerous correlation trials to experimental data [5].
The plots also show that a sharp reduction in fatigue life occurs very early in the exfoliation process as the surface damaged.
Based on the data in current analysis, a pit depth about 0.3mm would be an appropriate value.
A limited set of fatigue life data from tests demonstrated that this model is reasonable.

The higher coping reduction at labial margin, the higher the fracture resistance and standard deviation.
Final preparation (A), tooth models before and after preparation (B), 3D data for both tooth models (C), and software analysis for preparation thickness (D).
Digital data of tooth dimension were obtained with lab scanner (Fig. 2A).
The tip of the plunger would slide along palatal surface of crown during loading, therefore caused inconsistency in fracture resistance data.
In addition, we suggested that more samples are needed in order to get more significant data for the similar study in the future.