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Data was recorded at 10 points per mm using with a mean probe height of 120µm.
Thus, surface deformation and heat treatment produce a reduction in Ecorr but, significantly, a very large reduction, of ca. 0.5 V, is produced by surface deformation alone without any requirement for a subsequent heat treatment.
Hydrogen evolution was not observed at -0.8V vs SCE, implying that the change in cathodic polarization behavior arises primarily from an inhibition of cathodic O2 reduction.
The data in fig 2 has not been adjusted for surface roughness and it is possible that a change in roughness on etching might influence the calculation of true current density.
The Ecorr data in figure 5 was produced by SKP scanning over a ground surface which had been part caustic etched through a mask of teflon adhesive tape (subsequently removed).

Introduction As an important part of city construction, industry park has been dramatically developed in recent years which made it both the subject of implementation and the crucial part in low carbon emission reduction.
It was an important way to achieve emission reduction, and the improvement of infrastructure can be a perfect hardware insurance for the park[1].
Planning control path of LCIP based on GI Planning control path of LCIP (based on GI) was a new industry park system operating on GIS (geographic information system), which can coalesce low carbon energy-saving, industry cycle complementary and low carbon economy principles through ecological hub and corridor analysis after a comprehensive study on data about intensive land-use, physical geography, transportation, ecosystem protection and so on.
As the fig1 above, we should first find the key point, set target, then make a master plan and collect data, analyze all the elements and layouts to the detail of implementation and conduction.
prediction of production scale in industrial zone scale of the enterprise GI total scale GI Factor and arrangement GI action and management carbon-oxygen equilibrium SWOT analysis evaluation of heating effect in green land coordinate the scale collect the data analysis and evaluation detailed design ecological and elastic pattern economical profit of land unification of ecology, society and economic benefit Design and control play the key point identify the target Fig.1.

According to the data on total output value and load amount of coal per day of Shanxi province,this paper uses grey correlation analysis model to calculate the correlation degree of the development of coal logistics and economic growth of Shanxi province.The results show that the development of coal logistics and economic growth of Shanxi province have a positive correlation relationship and the coal logistics industry will promote the economic development of Shanxi province.Based on the results,the paper makes three suggestions.First,government should provide some preferential policies for coal logistics industry.Second,the modern coal logistics system should be established.Third,the economic development model of Shanxi province should be upgraded.
III.Data The data used in the paper is from Shanxi Statistical Yearbook.The original data is showed in Table 1.
Table 1 The original data Year load amount of coal per day(car) total output value of Shanxi province(One hundred million yuan) 2006 97036 4752.5 2007 104609 5733.4 2008 105005 7055.8 2009 99689 7358.3 2010 108498 9200.9 2011 112864 11237.6 2012 118963 12112.81 2013 124405 12602.24 Above table shows that except 2009,the load amount of coal per day of Shanxi province is increased year by year during 2006-2013.Its annual average growth rate is 3.15%.The total output value of Shanxi province is also increased year by year during 2006-2013.Its annual average growth rate is 12.96%.There are two reasons to explain the development of coal logistics of Shanxi province.Firstly,pulled by the real estate industry,the national economy is growing rapidly.Secondly,Due to the free policy environment and the logistics infrastructure construction,the coal logistics is growing.Fig.1 shows the growth tendency of total output value and load amount of coal per day of Shanxi province.
IV.Correlation degree calculation Grey correlation analysis is the main part of grey system theory and used to analyze the relationship degree of tow variables[3].Its advantage is that less samples are needed.The data used in accordance with the demand of grey correlation analysis.
VI.Suggestion The added value of coal industry is accounting for 54.9% of the industrial added value in Shanxi province in 2013.But coal resources is non-renewable resources and the coal industry is one of the nine main industries which are responsible for energy conservation and emissions reduction.So Shanxi province should develop modern coal logistics to change the economic development model and promote the quality of economic growth.

Computer Simulation of the Shaking Table Tests on Harder Soil-Structure Interaction System Peizhen Lia, Jing Mengb, Peng Zhaoc and Xilin Lud State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai, 200092, China alipeizh@tongji.edu.cn, bmengjing369@126.com, cpengzhao2007@163.com, dlxlst@tongji.edu.cn Keywords: Soil-Structure Interaction; Shaking Table Test; Layered Soil; Pile; ANSYS.
By comparing the results of the finite element analysis with the data from shaking table tests, the computational model is validated.
Under the sponsorship of National Nature Science Foundation of China, shaking table tests on dynamic soil-structure interaction system have been carried out in State Key Laboratory of Disaster Reduction in Civil Engineering of Tongji University, and now the tests have reached into the 4th stage.
Conclusions By comparing the results of the finite element analysis with the data from shaking table test PS10H, some conclusions could be obtained as follows

The data requirements are nearly the same as for MRP.
Once these values are known, they become data for subsequent processing.
Validation of data were performed to ensure that these are for the right issue and useful.
Data validation checks that the data is sensible before it is processed.
Industrial Management & Data Systems, 2006. 106(4): p. 439-459

Young’s modulus was determined from a least-squares fit to the data at stresses of at least 2 MPa, but below the proportional limit [10].
From fitting the experimental test data in Figure 3, values of n = 1.73 and m = 1.67 were obtained.
(Right) Linear fit to the same data based on the Gibson-Ashby relations in Equations 1 and 2.
The data presented in Figure 5 shows this trend is observed for all porosities investigated here.
(Right) Comparison of simulated curves for a range of representative volumes to measured data for a sample porosity of 61.5%.

Introduction The SLM process is an additive process used to create metal parts with complexes shapes from CAD data.
The consequences are the reduction of fatigue life of the part or the initiation of cracks.
Table 1 Material composition of maraging steel Elements Fe Ni Co Mo Ti Al Cr C Mn, Si P,S [wt%] 64,6-69,35 17-19 8,5-9,5 4,5-5,2 0,6-0,8 0,05-0,15 0,5 0,03 < 0,1 < 0,01 The table shape support is design to allow the bonding of transducers with their wires for the data processing (in Fig. 2).
The instrumented support is clamped by bolts on the plate link to the moving bed of the machine and the transducer wires are connected to a FRONTDAQ data acquisition device.
Table 2 : Experimental data Layer thickness Cooling time between layers Manufacturing height Support 1 40 [µm] 8 [s] 10 [mm] Support 2 20 [µm] 34 [s] 5 [mm] Support 3 40 [µm] 34 [s] 10 [mm] The well-known theory of the removal layer method is used [7] and modified to determine the residual stresses in the part and support during the layer addition with the measured strains.

The experimental obtained data were statistical processed by the method of regression analysis.
The number of tools is possible to lower by standardization and unification of the working surfaces, what enables better manipulation with the tools and the reduction of the claims for informative system.
This enables better manipulation with the tools and the reduction of the claims for informative system.

Table 1 - Data for the as-received powders and for Nimonic ® 90 alloys.
Table 2 presents measured Archimedes densities and Vickers hardness data for products sintered for 3 hr at 1310 ºC.
This is also attested by data in Table 3.
Fig. 4 - Typical σ x ∆L data and fracture morphology of W/A tensile bars sintered at 1280 ºC / 2 hr, at three different final heat treatment states.
Table 4 - Measured mechanical properties for lot B samples and typical data for Nimonic® 90.

At the same time the pressure plate is placed on vault board to collect dynamic data.
Through programming, MATLAB can read kinetic data of pressure plate in .txt format, and synchronically analyze vault gymnasts’ movement with tracking kinematics data of coxa joint trajectory.
Convert the obtained images to binary digital images through the median filter noise reduction.
MATLAB can read data in this format, and use the great analytical mapping function to analyze data and form the chart.
Motion technology diagnostic report can be automatically formed by comparing data collected by this system with data from the template, which needs hard work.