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The compressive flow data obtained by using a Gleeble®1500 machine are evaluated to obtain the strain rate sensitivity and the processing maps using different models.
The tensile data are used to determine the ductility of the material with different deformation parameters.
Fig.1 Flow compressive curves at a) 700, b) 750°C and c) 790°C for all the tested strain rates Fig.2 Flow data as a function of the temperature and the strain rate: a) maximal flow compressive stress b) maximal flow tensile stress c) percentage reduction of area after fracture (RA) The results related to ductility obtained from tensile tests are plotted in Figure 2c, showing that lower strain rates (A) can decrease the reduction in area by a factor of 4 compared with the values at high strain rates (E).
Furthermore, the percentage of area reduction is less than the half, porosity is observed at the ferrite/bainite interface and VN rich precipitates form.

Industrial Views to Microbe-Metal Interactions in Sub-Arctic Conditions Päivi Kinnunen1,a, Malin Bomberg1,b, Pauliina Rajala2,c and Leena Carpén2,d 1VTT Technical Research Centre of Finland Ltd, Tietotie 2, P.O.Box 1000, FI-02044 VTT, Finland 2VTT Technical Research Centre of Finland Ltd, Kemistintie 3, P.O.Box 1000, FI-02044 VTT, Finland apaivi.kinnunen@vtt.fi, bmalin.bomberg@vtt.fi, cpauliina.rajala@vtt.fi, dleena.carpen@vtt.fi Keywords: Sub-arctic, industrial bioleaching, biological sulfate reduction, biocorrosion, microbe-metal interaction Abstract.
Recent data of industrial applications related to microbe-metal interactions was searched from public resources e.g. local authority decisions in English and in Finnish.
Biological sulfate reduction.
Biological sulfate reduction based treatment systems were first developed for AMD and more recently to the selective recovery of metals in hydrometallurgical processes.
Under the biofilm the conditions such as pH and redox potential, excretion of corrosion inducing metabolites, direct or indirect enzymatic reduction or oxidation of corrosion products may differ remarkably from surrounding environment and thus induce circumstances where the corrosion is locally increased.

For achieving fast calculation and dealing with the laser interferometer measuring data quickly, the digital signal processor of TMS3206713 is used as the core unit of the control system.
The USB2.0 interface is designed for image data transport from the DSP unit to PC program.
Then, the gray value data of each line is shown in figure 7(b).
In figure 7(c), the final linewidth data is shown clearly after filtering and averaging to the original image data.
(b) Acquiring original edge data.

Each rolling pass adopted an approximate thickness reduction of 10% of the former thickness.
For Micro Vickers hardness tests, 100g load was applied for 10 sec and each plotted datum was obtained by averaging 15 measured values.
Fig. 5 shows the XRD patterns for each rolling reduction.
On the other hand, α phase precipitations also increases with increasing rolling reductions (8.8%→13.3%).
Table. 2 lists the mechanical properties of the cold rolled specimens, the strengths increases with the rolling reductions; a maximum tensile strength of 180.17 MPa was achieved with 90% rolling reduction, no significant cracks were observed with the 90% rolled plates, proving that the alloy is suitable for cold working.

The device had been keeping running from Sept. 1, 2011 to Nov. 1, 2011. 15 days after the start-up, samples were taken for data analysis in a frequency of once every 5 days.
The data of ammonia nitrogen and nitrate nitrogen (Table 2) shows that the low total nitrogen removal efficiency is resulted from the insufficiency of de-nitrification.
Removing rate change of TP in different surface loads Pollution Load Reduction.
The average removal rate shows the changes in inlet and outlet water concentration and can not indicate the pollution load reduction rate by the system and also can not show the maximum potential of MSL; the pollution load reduction is used to comprehensively consider the optimum surface load; the equation is: L=Q×(Ci-Ce) /A.
Pollutant reduction load （g/m2·d）under different surface loads 　 surface loads（L·m3/m2·d） COD BOD5 T-N NH4+-N T-P Reduction load（g/m2·d） 800 52 29.52 5.44 15.52 1.128 1000 63.7 35.7 6.1 17.8 1.33 1500 92.55 51.45 6.9 25.2 1.89 2000 113.4 62.4 7.6 23.6 2.3 3000 135.6 75 7.5 15.3 2.31 4000 164.4 90 6 14 2.64 It can be seen from Table 3 that the load reduction of TP, COD and BOD5 is proportional to the surface load, and the maximum value of load reduction of NH4+-N and TN is between 1500 and 2000L/m2•d.

Here, it is well known that the slurry flow is remarkably important as both to use the slurry effectively and to reduction the slurry quantity consumed of CeO2 abrasive that is one of rare metals.
Therefore, it is important to develop the new CMP method which can achieve both to use the slurry effectively and to reduction the slurry quantity consumed of CeO2 abrasive.
The difference was taken before and behind the longitudinal data, and it was considered that there was slurry in the part for the difference value to exceed a prescribed threshold and made scene of making to binary.
Kawase: Impact of reduction in CeO2 slurry consumption for oxide CMP - Approach from alternative slurries and pad groove patterns -, 2010 International conference on Planarization/CMP Technology (2010) p.244 [3] Y, Sugimoto, K.

It makes resource reservation through migration of virtual machine, uses dynamic trend prediction algorithm to forecast the load changes of data center, and puts forward the concrete complement to adjust reduction.
Experiments show that the combination algorithm proposed in this paper are efficient to improve the performance of data center, accelerate the response speed and increase the precision.
Experiments show that this proposed algorithm efficiently enhances the performance of the data center and improves the response speed and the computing accuracy.
The Ant Colony Algorithm Based on Dynamic Trend Prediction 3.1 The Scheduling Optimization Principle of Cloud Computing Resource The scheduling and utilization of resources depends on the scheduling function of virtual machine, and the power works by the power management function of host machine and the load prediction function of data center.
Simulation results show that this algorithm effectively improves the performance of the data center.

After screening and pre-processing, each fault collected six sets of data as a training sample set {Xi, Yi}, i = 1,2 .... 6.
Extracted 13 data sets Xi composition of the data set to be classified.
Data entry to be diagnostic, after classifier, the class of output belongs engine state.
The process of fault diagnosis system (1) The data collection and upload module is the data entry of system.
(2) Acoustic signal noise reduction and feature extraction module to achieve the main signal processing functions.

Texture predictions from a crystal plasticity finite-element model were also employed to support the experimental data and interpret the deformation mechanisms.
The thickness reduction for all samples presented here was 72-74%.
Some more useful data can be obtained from the Vickers hardness tests, regarding the anisotropy of the microstructure through the wall thickness.
All samples were deformed to thickness reductions of 72-74%.
In addition, a weaker fibre appears at Φ=30° on the mid-thickness plane or at low thickness reductions.

Metallurgical characteristics of iron ore agglomerates of various basicity (reducibility, strength after reduction (LTD+6.3), temperatures of the beginning and ending of softening) have been investigated.
The effectiveness is then determined by the thermodynamic equilibrium conditions of the iron oxide reduction reaction in a blast furnace, depending on the blast and charge conditions.
Metallurgical characteristics of pellets are reducibility, reduction strength (LTD+6.3), softening interval.
For agglomerate samples with basicity 1.73, besides magnetite, hematite and SFCA, a small amount of two-calcium silicate was found, which resulted in significant reduction of strength index during reduction of LTD+6.3.
Calcium ferrites do not get destroyed during reduction until the appearance of metallic iron