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The ferritic material was cold-rolled at a reduction of 80% to give the same dislocation density as of the martensitic material.
In addition, the ferritic material was cold-rolled by 80% reduction after the solution treatment.
The data obtained by EBSP method was analyzed with the TSL Orientation Imaging Microscopy (OIM) system.
This indicates that crystal-rotations have locally occurred during the deformation, and this forms a large ________________________________________________________________________________________________ 1 The data of the measured points with little reliance (Confidence Index < 0.05) were removed before making the misorientation profiles, because there was possibility that the analyses of those points had been failed.
The results obtained are summarized as follows: (1) The ferritic material deformed by 80% reduction contains a large number of geometrically necessary boundaries with large misorientations, while the martensitic material does only original grain boundaries.

Very high gravity ethanol fermentation technology exhibited promising industrial application for advantages including productivity improvement, polluted water output reduction and energy consumption saving.
Datas analysis indicated that the osmotic pressure was controlled strictly exhibited by high growth rate of yeast and high rate of ethanol formation comparing with other dosages, and 119.78 g/kg (15.07 %, v/v) ethanol equivalent to 90.16 % of theoretical yield was achieved in 64 hours.
Therefore, very high gravity (VHG) ethanol fermentation technology exhibited promising industrial applications for advantages including productivity improvement, polluted water output reduction and energy consumption saving, particularly for the downstream processes like distillation because of high ethanol concentration in the mash to be distilled and the waste distillage treatment by the energy-intensive multistage evaporation process as less waste distillage to be treated [5, 6, 7, 8].
Table 1 Fermentation parameters of five glucoamylase dosages adding Glucoamylase dosage [g/kg dry matter weight] 0.2 0.4 0.6 0.8 1.0 Residue available glucose concentration [g/kg] 3.2 2.1 3.7 4.6 43.1 Final cells count [108/g] 2.35 2.43 2.17 2.11 1.78 Final ethanol concentration[g/kg] 72.44 95.43 113.47 119.78 101.39 Yield [theoretical production %] 55.59 73.24 87.08 90.16 77.81 Productivity [g/kg.h] 0.91 1.19 1.42 1.48 1.27 Conclusion Fermentations parameter datas indicated 0.8 g/kg dry matter was the optimum glucoamylase adding for SSF using very high gravity liquefied sweet potato mash, under such condition, the osmotic pressure was controlled strictly under the high inhibition limitation level and saccharifying rate was always kept high enough for the substrate providing, and 119.78 g/kg (15.07 %, v/v) ethanol equivalent to 90.16 % of theoretical yield was achieved in 64 hours, average productivity calculated by final ethanol concentration was 1.48 g/kg.h.

The CCT diagram of the high strength D6AC steel was plotted using the dilatometer data, microstructure investigation, and hardness measurements.
The increase of the cooling rates up to 1 °C/s led to the reduction of the bainite amount in the microstructure of the steel under consideration (Fig. 1, c) and to the increase of the hardness values up to 60.0 HRC.
The obtained data was implemented during the design process of the heat treatment technology for the drill bits being operated in severe conditions of impact loads and abrasive media [18, 19].
After the heat treatment the following mechanical properties of the drill bits were obtained: hardness 45,0 HRC; yield strength σ0,2 1360 MPa; tensile strength σB 1470 MPa; relative elongation δ5 12,5 %; reduction of area RA 24 %, impact toughness KCV 0,21 MJ/m2.

In the year of 2007, Weibo Yang and Mingheng Shi ascribed the operation characteristics of water to water heat pump to 8 undetermined characteristic parameters, according to which they built a characteristic parameters optimized predication model of heat pump utilizing sample data to predict those undetermined parameters [3].
On this base, this paper builds computational models of the WSHP unit in WSHP system; those are energy models of evaporator and condenser, power consumption model and adiabatic compression model of compressor, throttle model of throttle mechanism as well as the data model of refrigerant (R22 is adopted in this paper).
Figure 2 a) shows that COP of the system increases with the rise of evaporating temperature or the reduction of condensing temperature, and the COP decreases with the reduction of evaporating temperature or the rise of condensing temperature; b) indicates that the heating capacity goes up when condensing temperature rises or evaporating temperature reduces, it drops when condensing temperature lessens or evaporating temperature ascends.
According to the definition of the influence rate and the data of the charts, the influence rate of evaporating temperature (3 to 10 ℃) relative to COP can be calculated, that is 2.25%; The influence rate of condensing temperature (50 to 55 ℃) relative to COP also can be calculated, that is 2.61%; By the same rule，the influence rate of evaporating temperature (3 to 10 ℃) relative to heating capacity is 1.32% and that of evaporating temperature (3 to 10 ℃) relative to heating capacity is 1.09%.
Design temperature data for surface water heating and cooling systems.

Table 1 Value-added of the Three Strata of Industry & Its Composition of the GDP in TBNA Year Primary Industry Secondary Industry Tertiary Industry [Billion yuan] [%] [Billion yuan] [%] [Billion yuan] [%] 2004 7.9 0.6 87.9 66.4 43.7 33.0 2005 7.3 0.5 109.9 67.7 51.7 31.9 2006 7.5 0.4 137.1 69.9 58.2 29.7 2007 7.2 0.3 169.4 71.7 66.2 28.0 2008 7.5 0.2 224.6 72.4 84.8 27.4 Data source.
Table 4 Primary Energy Consumption & Its Composition of Industrial Sector in TBNA, 2004-2008 Item 2004 2005 2006 2007 2008 Total Consumption [m tce] 17.8 21.9 23.7 28.6 26.3 Coal Products [m tce]/ [%] 5.1/28.4 7.9/36.1 8.7/36.8 12.8/44.8 12.3/46.7 Petroleum Products [m tce]/ [%] 12.4/69.6 13.7/62.4 14.4/60.8 15.1/52.7 13.1/49.8 Natural Gas [m tce]/ [%] 0.4/2.0 0.3/1.6 0.6/2.4 0.7/2.6 0.9/3.5 Data source.
Table 5 Comparison of the Energy Consumption by Industrial Added-Value per 10 000 yuan [tce/10 000 yuan] 2005 2006 2007 TBNA 0.950 0.797 0.807 Shanghai Pudong New District 0.900 0.830 0.600 Shenzhen Special Economic Zone 0.600 0.570 0.550 Shanghai 1.180 1.200 1.006 Beijing 1.500 1.330 1.188 Tianjin 1.450 1.330 1.220 China 2.590 2.530 2.730 Data source.
It will capture the lead edge of technological information, make evaluations on the emission reduction potential and technology maturity degree, and thus invest in low-carbon technology which meets the requirement.
With the implementation of Kyoto Protocol, the corresponding industry and the market of emission reduction technology will gradually form.

Through the long-term deflection observation results and the measured data of effective pre-stress of Humen bridge before and after reinforcement, using three-phase bridge long-term deflection calculation method, compare the measured data and the calculation conditions in three kinds.
Zhao Yu [3] analysis the crack statistic pre-stressed girder stiffness reduction method and the structure evaluation method.
Tab.2 The Judge table of the “flat beam” Distribution pattern The discriminant index Distribution pattern Simulation method Equal distribution the relaxation rate coefficient of steel beam Geometric distribution Single steel As the reduction coefficient to adjust the tension control stres mixture distribution adjusting the tension control stress, relaxation rate and friction coefficient Tab.3 The result of the perpetuity pre-stressing force of the Bridge Measuring point Prestressed steel beam number The measured average value(kN) The design value(kN) Distribution pattern index γ Distribution pattern 1# B7 181.34 170.47 1.02 Equal distribution 2# B7 176.32 170.47 1.03 Equal distribution 3# Z11 152.19 181.11 0.90 Geometric distribution 4# Z11 167.68 181.11 0.93 Geometric distribution 5# 30-1 169.55 154.6 1.03 Equal distribution 6# 31-1 159.71 153.4 1.04 Equal distribution In the table 2, : Steel beam stress theoretical values, :Steel beam stress test values, :tension control stress

However, as illustrated in figure 1c, the grain size on the object's surface undergoes a significant reduction owing to the impact of SSP.
Consequently, this reduction results in heightened strength and hardness specifically on the surface of the component.
The data suggests that SSP has increased the surface hardness by an impressive 64%.
However, while enhancing strength characteristics, there was a reduction in elongation.
The following conclusions can be drawn: · The SSP treatment led to a substantial reduction in grain size, particularly on the surface of the WAAM carbon steel

Therefore, the samples of voltage tolerance of PC could be recorded as interval data.
Interval data of voltage tolerance level Models of Maximum Hybrid Entropy Entropy is one of the measures of uncertainty [8].
The system data are given in [15].
About 20 tolerance level data of PCs are measured from the laboratory test.
The sample data of voltage tolerance level are interval numbers from laboratory test.

The outputs from the power amplifier controlled by the data conversion single-chip are input through the ADC.
Data Amplifier.
Data Amplifier Connection.
The hardware and software are illustrated such as circuit connection of data amplifier and MC14433 Microcontroller.
WU 2010 Design of Data Acquisition and Monitoring Control System for Medium Frequency Induction Furnace.

Tension, compression and in-plane shear damage, which are defined as the decreasing ratio of modulus, were calculated from the data of quasi-static cyclic tests.
However, there is only a paucity of experimental data to which these recent theories can be compared.
Results and Discussion Macroscopic damage is defined by the modulus reduction using the well known damage mechanics [3].
The scalar damage parameters T d11 and C d11 were calculated from the reductions of the tensile Young's modulus T E11 and compression Young's modulus C E11 in the 0 o direction respectively.
The shear damage parameter 12d was obtained from the reductions of the in-plane shear modulus 12G .