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The thermal data have then been used as inputs to the hardness prediction model.
This model is calibrated using isothermal softening data for each alloy and postweld natural ageing is also accounted for.
Equations 1 to 3 imply that isothermal data from different temperatures can be represented on a single master curve by plotting log(1 - f/f0) vs log (t/t*)).
It is assumed that it is the peak temperature reached during welding that dominates the final natural ageing response, The hardness increment is therefore determined by interpolating the measured hardness data (Fig. 1b) after isothermal heat treatment to find the increment for the peak temperature.
The precipitates in 6013 are much more thermally stable, explaining the reduction in predicted extent of the HAZ.

Table 1 Actual disk cutting technological parameter (material Q235) Plate thinkness[mm] 10 12 14 16 18 20 22 25 28 30 The amount of overlap[mm] 3.5 4.5 5.3 6.5 7.0 8.3 9.5 11.5 13.5 14.0 Shear lateral gap[mm] 1.7 2.0 2.3 2.6 3.2 3.6 4.0 4.5 4.8 5.0 When cutting the plate, which material are the same, but thickness are different , to realize the disk shear cutting technological parameter fast initial setting, make use of the Matlab software basis measured data carries on the multinomial curve fitting .
The function which to shown in Fig.2, leads the measured data the function which each fitted curve corresponds to carry on variance analysis one by one, analysis result demonstration linear function is most ideal, so cuts the amount of overlap mathematical model with above measured data correspondence's disk is: 3054.25476.0 −×= h S (1) S expresses the amount of overlap; h expresses the plate thickness 90 Fig.2 The multinomial curve fitting of plate thickness and the knife overlap About the lateral gap, uses the multinomial curve fitting result like Fig.3: Fig.3 The multinomial curve fitting of plate thickness and lateral gap Likewise, obtains with the above measured data correspondence disk lateral gap mathematical model is: 1934.01845.0 −×= h δ
The two indicators reflect the material is plastic elongation and area reduction rates， they can be transformed into each other.

It’s an important way to achieve energy-saving and emission-reduction and energy security strategy, thus favored, but also the development focus in the future of the automobile industry.
PLC has stepped into maturity stage through several decades, it is widely considered as an important way of digital communication which replaces the private networks in the field of building automation, multimedia data communication, office automation, remote reading, intelligent home, intelligent network, high speed access and so on.
The charging spot controller is responsible of the data exchange with the electric vehicles, of which the main modules contain: the main CPU controller, responsible for the management, data processing and control of the charging system of the electric vehicles; the power module, to provide the power supply to the mentioned communication controlling elements of the energy supply equipment; sampling module, responsible for collecting the information of the voltage and current and transmitting the information up to the main CPU; HMI module, for the interface display and keyboard input; input and output module, responsible for collecting the information of the quantity of switch and state , transmitting to the main CPU, and at the same time conducting the controlling orders of the main CPU; Pilot control module, responsible for monitoring the state of the pilot control line, and sending it to the main CPU; PLC control module, responsible for transforming the communication data of the main control

Microbiological data showed that a higher number of SRB was associated at corroding sections of steel.
Fig. 3 illustrates the corroded sections of coupon analyzed by Energy (keV) X-ray analysis and indicated energy data for the area.
The data of OCP experiment showed that there were changes in electropositive direction in the presence of SRB, indicating a looser passive layer.
It is recommended that further research might explore the corrosion potential in extended time with more SRB from site to get more reliable data, later used to predict pipeline integrity.
Gao, Effect of seawater biofilms on corrosion potential and oxygen reduction of stainless steel, Corros.

Signal-to-noise ratio is sometimes used informally to refer to the ratio of useful information to false or irrelevant data in a conversation or exchange.
DOE is a systematic, rigorous approach to engineering problem solving that applies principles and techniques at the data collection stage so as to ensure the generation of valid, defensible, and supportable engineering conclusions [10].
This will help in the reduction of environmental pollution and hence saves our planet.
(a) Factors Levels 0 1 2 Type of fiber Kenaf Coir Bamboo Natural fiber volume percentage (%) 60 55 50 Type of matrix Unsaturated Polyester Bisphenol A epoxy resin (Miracast Epoxy 1517) Novolac epoxy resin (BJC Epoxy) Empty Empty Empty Empty (b) Exp No Parameter Tensile Stress at Maximum Load (MPa) S/N ratio (dB) A B C D R1 R2 R3 R4 R5 Rmean 1 0 0 0 0 23.915 34.317 30.389 26.324 27.194 28.428 74.537 2 0 1 1 1 21.207 25.058 19.875 22.334 19.108 21.517 73.328 3 0 2 2 2 23.222 27.862 28.967 27.962 22.104 26.023 74.154 4 1 0 1 2 18.395 15.787 20.906 18.207 13.280 17.315 72.384 5 1 1 2 0 15.923 21.631 22.586 19.825 21.738 20.341 73.084 6 1 2 0 1 11.570 9.665 15.367 14.609 13.924 13.027 71.148 7 2 0 2 1 20.667 19.827 17.747 19.363 18.054 19.132 72.818 8 2 1 0 2 16.158 23.535 16.303 20.690 22.104 19.758 72.957 9 2 2 1 0 15.081 11.963 15.380 16.129 15.265 14.764 71.692 The factor effect can be obtained by finding the mean of sum of squares of measured data.
Spall, Factorial design for choosing input values in experimentation, Generating informative data for system identification, IEEE Control Systems Magazine. 30 (2010) 38–53.

Although some papers have discussed the issues, which proposed some production operational models for the resource-saving and environmentally-friendly manufacturing processes [7-9], the research on the tools aiming at the reduction of resource consumption and environmental impacts at the level of production operation is still very limited.
The system framework is built up with six components including system support layer, data layer, model layer, function layer, business layer and presentation layer, which are shown as Fig. 1.
The data layer provides various data to the model layer, function layer and business layer.
It is composed of system support, data, model, function, business and presentation layer.

Fig. 1 Flow chart for simulation calculation of heat transfer with gas injected in annulus Establish modified temperature prediction model The existing temperature predicting models[8,9] were built on the basis of transfer heat from tubing to the formation through annulus, and an empirical formula of Fc is proposed by fitting a large number of field test data.
If heat transfer process from annulus to tubing, annulus to formation, we just only modified the part of heat transfer process: ① Reduction temperature change caused by heat transfer from tubing liquid to external, ② Increase temperature change caused by heat transfer from annulus to tubing liquid
The basic parameter and production data of experiment well are shown in Table 1 and Table 2.
Table 1 Basic parameters for well XXX Depth of middle oil layer(inclined/vertical depth)[m] 2755/2691 specific gravity of injected gas[-] 0.65 Temperature of middle oil layer[℃] 125.92 Tubing size[in] 2-7/8″ relative density of crude oil[-] 0.8375 Casing size[in] 7″ relative density of produced water[-] 0.7103 temperature gradient[℃/100m] 3.76 relative density of formation water[-] 1.01 saturation pressure[MPa] 25.4 Table 2 Production data for well XXX Test time Oil pressure [MPa] Casing pressure [MPa] Gas injection volume [m3/d] Liquid production [m3/d] Gas production [m3/d] Gas-oil ratio [m3/m3] Water cut [%] gas tempera-ture [℃] 1 1.4 7.9 7940 12.2 12030 1231 19.9 40 2 1.2 7.7 7760 16.3 6090 289 22.6 65 To make prediction for the two different gas injection temperatures by using the modified model and non-modified model, and verified with observed data, they are described in Fig.2 to Fig.3.

For 13C-NMR data, see table 2.
For 13C-NMR data, see table 2.
Definitive confirmation of the structure of compound 2 was given by comparison with NMR data previously reported for 15α-hydroxyandrost-4-en-3,17-dione [15].
These data are consistent with compound 3 being a 11α-hydroxylation product of compound 2.
The present work showed that fermentation of AD with Curvularia lunata for 10 days obtained five oxidation and reduction products [12].

State Grid Unified Application Platform (SG-UAP) is a set of coexistence of multiple applications distributed data resource management system, which contains a large amount of information platform and some sensitive data related to production safety.
Since each message data corresponding to different platforms, so to establish a unified access control strategy system platform to simplify daily security management.
Prove: reduction to absurdity.
It is necessary for accessing to the data through role security level and conversation secret level

Some studies have shown water content can be efficiently removed using microwave to heat and dry sludge, which leads to a cost reduction in transport, handling and storage due to the decrease of water content and volume [2,3].In this study, moisture content of sludge was taken as the response value, and further reveals the interactions of different processing parameters, such as the sludge: tree bark, microwave power and processing time etc.
The study will reduce moisture content of sludge and provide basic data for the consequent utilization.
Using the Box-Behnken module, a quadratic polynomial equation (Eq. (1)) was used to the data and to generate response surfaces, Y=B0+ + (1) if n=3, then Eq. (1) can be converted into Eq. (2), Y=B0+B1x1+B2x2+B3x3+B12x1x2+B13x1x3+B23x2x3+B11x12+B22x22+B33x32    (2) Where Y is the responded value, B0 is a constant, B1, B2, B3 refers to linear coefficients, B12, B13, B23 are interacted coefficients.
Statistical software Design Expert (Static Made Easy, Minneapolis, MN,USA. version 7.1.3 ) was used to do experiment design and data analysis (showed in Table2).
Experimental design for RSM and experimental data Trial No X1 X2 X3 Mean response ,a Y (%) 1 0 0 0 46.9 2 1 0 -1 40.7 3 -1 1 0 32.5 4 0 1 -1 49.2 5 -1 0 1 31.5 6 0 0 0 46.6 7 1 -1 0 39.6 8 -1 -1 0 42.3 9 0 -1 -1 37.9 10 0 0 0 46.9 11 -1 0 -1 44.2 12 0 0 0 46.7 13 0 0 0 46.9 14 0 -1 1 32.4 15 0 1 1 27.7 16 1 1 0 33.2 17 1 0 1 28.7 a All experiments were repeated three times and means were calculated Analysis Method Determination of moisture content in sludge: a 60ml of evaporating dish was placed in the drying oven set to 105-110oC for 2h. remove the dish and allow it to come to room temperature in a desiccator.