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The data was then collected using a Dewetron DAQ module and analyzed using Dewesoft (version 7) software in a powerful Dell workstation.
A Kistler 50g accelerometer was used for vibration data acquisition.
The vibration data was then recorded and analyzed using Dewesoft (version 7) software in the frequency domain using fast fourier transforms (FFT).
It can be seen that there is significant reduction in vibration amplitude for all 15 experimental runs with a maximum reduction in run 1 of 86%.
Table 1: Table showing the reduction in vibration amplitude obtained by using magnet Tool flank wear measurements were also compared for the experimental runs and the percentage reduction calculated from the SEM images.

Data collection.
Simulation Analysis Data collection.
Relevant data were collected from them and then, based on the data collected, their green degrees in supply chain were evaluated.
The data in Table 1 includes the following attributes: Data preprocessing.
Attribute reduction and choose branch node set to classify.

The results indicated that a maximum of 70% NOx reduction was achieved when the engine was fuelled with diesel-ethanol blends at a constant flow rate of 0.75 lit/hr with an urea concentration of 35%, and also that 66% reduction of NOx was achieved, using the Titanium dioxide catalyst in the Selective Catalytic Reduction system with neat diesel.
The objective of this project work was to determine the maximum reduction of NOx emissions, using the Selective Catalytic Reduction system.
The measurements were taken after the steady state of the engine for each set of readings.To simulate the temperature, a variation of the urea solution is carried out through the following sequence: In the geometry step, an assumed model as per previous collected data and dimensions was created.In the mesh step, the model was divided into a number of finite elements by fine CFD meshing, and the various regions of the model was named .In the set up step, the meshed model was checked and scaled.
[2] Ghosh, S., Chaudhuri, S.N., and Dutta, D.(2013) Reduction of NOx emission by urea injection and marine ferromanganese nodule as Selective Catalytic Reduction System of diesel engine.
[8] Tamaldin, N., Roberts, C.A., and Benjamin, S.F.(2010) Experimental study of SCR in a light duty diesel exhaust to provide data for validation of a CFD model using the porous medium approach.

According to the analysis on the experiment data, the relationship between strengthening indexσunder cold state and the relative deformationεcan be denoted as power function: (3) where σ0 denotes the strengthening index of metal as ε=0,αand n denote the constant relative with metal property.
The experience formula can be obtained by experimental data regression. 2.
The original data is shown in table 1.
Original data of calculation Initial pipe wall-thickness 4.1mm Exit speed 3.958m/s Entry speed 1.1m/s Exit temperature 765˚C Entry temperature 880˚C Total extension 3.597 Finished pipe wall-thickness 3.17mm Fiction coefficient 0.02 The calculation results and measurement curve is shown in Fig.4.
Fig.4 Deformation resistance curve Conclusion Deformation resistance is calculated by Lagrange interpolation method in steel pipe tension-reduction process.

Based on the statistics data from 1995 to 2010 in Shanxi industry, this article selects four indexes which include the energy and water consumption, waste gas, SO2, mist and dust, waste water, COD, per 104 RMB Yuan, and establishes environment learning curves of energy consumption and air pollution, water consumption and pollution in Shanxi province.
Data Source and Research Method 1.1 Data source Based on data from China energy statistics Yearbook and Shanxi Statistical Yearbook, we collect the relevant data from 1995 to 2010 of resources consumption and environmental pollution in detail, and we select eight indices, which include energy consumption, water consumption, SO2 discharge, COD discharge, waste water, waste gas, mist and dust per 104 RMB Yuan, to reflect the influence of economic development on resource-environment system.
Establish of Environment Learning Curve Learning Curve represents the process of reduction man-hour, cost reduction, enhancement production efficiency through the producer improves technique of production and operating procedure unceasingly by study and experience's accumulation [6].
The Relation between Energy Consumption and Air Quality and Countermeasures for Energy-Saving and Emission Reduction.
Analysis of Different Implementation Methods for Energy Conservation and Emission Reduction by Examining the Characteristics of Energy Intensity of Industrial Sectors.

Then the equivalent forces are calculated according the data in the first step, using the formulation of the equivalent force.
But it causes a huge model, and it is also often difficult to obtain the earthquake data nearby the corresponding fault.
The effect of external domain to internal domain is expressed with equivalent forces which are calculated from the data of the ground motion in the first step.
Domain reduction method for three-dimensional earthquake modeling in localized regions, partⅠ: theory.
Domain reduction method for three-dimensional earthquake modeling in localized regions, partⅡ: verification and applications.

Design data of low carbon residence form Based on the above mentioned design structure, taking the systems as LEED systems by U.S.
Data of site form design.
Design data of site form.
Design data of landscape shape.
Design data of architecture forms.

IF steel was homogeneously cold rolled between 30-95% reduction in thickness.
In addition to this a {411}<148> component began to intensify, reading 5R at 95% reduction.
At 50% reduction figure 2c complete α and γ fibres formed and strengthened with increasing reduction until 80%, figure 2e and g.
Grain B is an example which is of ~10µm thickness after 80% rolling reduction.
A TEM study, which is very challenging for such a thin material, might give the required misorientation data.

Furthermore, from the data temperature dependence of the dc magnetic-susceptibility, it can be analyzed the Curie constant, atomic magnetic moment and effective magnetic moment in each sample.
For samples with x = 0.09, and 0.10, no trace superconductivity was observed from dc magnetic-susceptibility data.
To identify samples that do not show a trace of superconductivity, susceptibility data were analyzed using Eq. 1.
Extrapolation on this data indicates that the value of 𝜃 was negative, as shown in Fig. 4.
The data can be extracted from these curves to find the values of the Curie constant, magnetic moment per volume, and the effective magnetic moment [21].

The point cloud data of sighting scope is used to validate the strategy.
The original point data collected by the measuring device generally requires pre-processing operations such as noise filtering, smoothing, and data ordering for subsequent operations.
Feature-Based Section Curve Reconstruction Pre-processing the original slice of point cloud data.
Data reduction is necessary to accelerate feature point recognition.
The pre-procession including median filtering, data reducing and points sequencing is conducted.