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The major process specifications are the oxidation reduction potentials (ORP) and pH-values.  
For our metal removal applications on FOUP’s we used AW-Cl at pH values ranging from 2.6 to 3.1 and oxidation reduction potential (ORP) values ranging from 880 to 1100 mV.
Figure 1: Overview of the oxidation reduction potential (ORP) as a function of pH-value for various FEOL cleaning chemistries.
Most of the data are aligned on one straight line.
Figure 3: Oxidation reduction potential ORP [in mV] versus pH-value for the Anode water (AW-Cl) regime for different chloride feed concentrations of 100 ppm (black symbols) and 10000 ppm (white symbols).

Good combinations of strength, ductility and fracture toughness, with the values of tensile strength Rm > 1200 MPa, elongation A > 10%, reduction of area Z > 20% and fracture toughness KIC ≈ 80 MPa·m1/2, were achieved for the Ti-63 alloy after optimized heat treatment process.
It could be seen that the predicted Tb agree well with the experimental data.
Mechanical properties of Ti-63 alloy at room temperature Heat treatment process Rm [MPa] Rp0.2 [MPa] A [%] Z [%] KIC [MPa×m1/2] 890°C/1h, AC＋540°C/8h, AC 1315 1210 12 35 45 930°C/1h, AC 1212 1084 11 25 81 930°C /1h, AC+640°C /4h, AC 1233 1154 12 28 79 Note: Rm: tensile strength; Rp0.2: yield strength; A: elongation; Z: reduction of area; KIC: fracture toughness.
Good combinations of strength, ductility and fracture toughness were achieved for the Ti-63 alloy with the values of tensile strength Rm > 1200 MPa, elongation A > 10%, reduction of area Z > 20% and fracture toughness KIC ≈ 80 MPa·m1/2.

Step 2: Data sources and data collection and standardized treatment; Choose work than scheme is the premise of the index system according to the determined indexes data acquisition.
Data is from the design unit.Through the min - max standardization method processing, the original data of linear transformation make them fall into interval [0,100].
Data is from the experts in the field and experts with comprehensive experience and research evaluate indexes for satisfaction score.
Such processing will not change data analysis ability, also accord with the five grade marking system standard for evaluation.
Step 3: Data discretization; For Discrete scores under each evaluation index.

Building model is constructed in DesignBuilder software to simulate building energy consumption in the current design as base case and compare different environmental solutions results with it to estimate the energy and Co2 reduction.
In addition to visit to building site to measure temperature and wind speed by multi-functional anemometer in many focal points indoor and outdoor the building, to consider any missing data that could affect on the final decision.
So, the methodology for reaching the best solution is; First, constructing the building model in environmental simulation software to simulate the currant design energy consumption and consider it as base case to compare different environmental solutions results with it and estimate the reduction in energy consumption and Co2 production.
Before choosing the appropriate solution, building site was visited to measure temperature and wind speed by multi-functional anemometer in many focal points indoor and outdoor the building, to consider any missing data that could effect on the final decision.
But the chosen one in this study is DesignBuilder because DesignBuilder provides accurate energy, comfort, cost, and daylighting performance data to help inform and guide your design decisions in addition to the ability to simulate design CFD (Computational Fluid Dynamic) [4].

We have made considerable progress in energy saving and consumption reduction, in particular, some technical indexes have reached the advanced level in the world.
At the same time data acquisition are implemented on energy flow and energy flow network so that we can forecast dynamically, make decisions offline, schedule real-time, operate in the optimization, grasp the dynamic change law of relationship between energy supply and demand, solve the using problems of surplus gas, oxygen and heat power to reduce their dissipation, which makes energy saving and zero emission true.
The production data indicates that the influence ratio of concentrates technology on technical progress of iron-making in BF is about 70%.
Empirical data shows that when hot blast temperature increases by 100℃, coke ratio can decline 15～30kg/t with the allowance of more 30～40kg/t pulverized coal injection which improves the production 3%～4% and leads to significant economic benefits.
[2] Wang L. the Current Situation and Prospect of Energy Saving and Emission Reduction in China’s Steel Industry.

The model has made an accurate check by the existing accident data.
As referred above, any function relation can convert to the fractal distribution form using the concept of variable dimension fractal, however, the data obtained from the actual are often just some of discrete data points in the forecast of mine accident.
So it is difficult to get certain function relations from these data points, at this time, the data can be made a series of transformations, ensure that the converted data fit well the fractal distribution model and are more suitable for mine accident forecast[6], specific algorithm process is as follows: Step1: Calculate every two points between the fractal dimension of the original accident data (Ni,ri)(i=1,2,…,n), get fractal dimension D of n-1 periods, if these values of are close to each other, small discrete degree, then turned to Step4, otherwise turned to Step2.
(2)Process origin data by the first-order data accumulation, the second-order data accumulation , the third-order data accumulation according to the Eq.(7), Eq. (8), Eq. (9), get sequence {S1j}, {S2j}, {S3j}, then calculate the fractal dimension between every two points of the three series respectively, which is noted as D1, D2 and D3 , and each sequence can get 12 fractal dimension.
(13) r = 14, r = 15 is taken into Eq. (13) ,and get the 14th and 15th value of S3: S314=42772 S315=51394 Using the above values to calculate by inverse accumulative reduction method according to the E.q (11), E.q (12), and get prediction values of 14th and 15th data: N14=73,N15=45 The 14th and 15th practical accidents numbers are 75 and 42 calculated by known data, the prediction data and the actual data are comparative analyzed, get the average relative error is 4.8%.So we can get the conclusion that the error between prediction data and the actual data is small, which indicates the application of forecasting model based on fractal theory to the mine accidents prediction is reasonable and practical.

Data from sensor array are often arranged in three-dimension as sample × time × sensor.
Traditional methods are mainly used for two-dimension data.
They are mainly used for two-way data.
The preprocessed response data were analyzed by PARAFAC with two components.
Taking into account the complexity of the data, the use of PARARAC as a feature extraction technique to perform a data reduction from a three-way array is studied.

Lightweight is an important means of energy conservation and emissions reduction, In recent years, the development and popularization of computer, for lightweight design of mechanical product structure provides a convenient.
Box thickness design always uses the analogy method, carries on the comparison to similar products, with reference to the designer's experience and design manual data provides the empirical data, determine the thickness of box, rib plate and the bottom plate of the layout and structure parameters [5].
Fig.2 Stress change nephogram Fig .2 Displacement change nephogram The experimental data analysis The finite element analysis result data of changing the structure of the different size as below: Table 1 Only rid plate angle changes Table 2 Only rid plate thickness changes α max stress ( N/m2) max displacement (mm) 10° 108380488 6.416e-002 15° 114262112 5.231e-002 20° 118356848 4.438e-002 a1(mm) max stress (N/m2) max displacement (mm) 16 121928040 5.270e-002 20 118356848 4.438e-002 24 88910760 3.811e-002 Table 3 Only box thickness changes Table 4 Rid plate angle and box thickness all change a2(mm) max stress ( N/m2) max displacement (mm) 5 110677928 6.816e-002 8 108380488 6.416e-002 α a2(mm) max stress ( N/m2) max displacement (mm) 15° 5 133223248 5.367e-002 20° 8 118356848 4.438e-002 Table 5 Rid plate angle and thickness all change Table 6 Only bottom plate changes α a1(mm) max stress ( N/m2) max displacement (mm) 10° 10 171076544
Through research on gear reducer box structure finite element, analyze the data obtained from finite element analysis and calculation comparison, it can be concluded that: (1)The thickness of the bottom plate does not affect the stress and deformation of box structure; (2) Change the angle and thickness of the rid plates (that is, the overall size) at the same time, The change range of the stress and deformation of the box structure is the largest, other structural changes relative to change in size is not so big, so considering the reducer box practical situation, if the size satisfy the requirement of stress and deformation, choose the structure of the small size; (3)When box thickness in using selection is smaller than the traditional, to reduce the deformation increase caused by the reducer box thickness decrease ,it can be solved by use larger rid plate angle
Welded Structure CAD of Heavy Reduction [4] Cylinder Gear Box [J].Journal Of Xi’an JiaoTong University.1994.7, 28(4)P103-107

The flood prevention standard of the river channel is designed to prevent 50-year flood according to the local meteorological and hydrological data.
Designing Flood The rate of the flood peak can be calculated as follows: (1) where, S: rain force which is related to the storm reduction index n and the confluence duration, m: confluence parameter, θ: parameter which is related to the drainage basin features, u: average loss rate of the runoff period, K1, K2, K3, and K4: functions of the storm reduction index n.
The parameters in the formula can be calculated as follows: Storm reduction index n and rain force S.
The storm reduction index n of the drainage basin is 0.65 according to the "Hubei Hydrological Manual".
It is not necessary to buy stones from other places at high prices, which realizes the reduction and resource utilization of solid wastes in the mining area and reduces the total cost of the project.

The workflow, summarized in Figure 2, outlines the key steps: (i) data collection and dent characterization, (ii) model development and validation, (iii) application of internal pressure loading, and (iv) assessment of stress distribution relative to material strength limits (SMYS and UTS).
This model is calibrated using stress-strain data obtained from experiments on API 5L X65 steel, which was subjected to both monotonic and cyclic loading [8].
The kinematic hardening parameters (C and g) can be based on the stress-strain data obtained from the first half cycle of a unidirectional tension or compression experiment.
This shows that there is a reduction in plastic in the springback phase, due to compression and tension stress.
This confirms that even at 12 MPa, the dented region remains structurally vulnerable despite the apparent reduction in deformation growth.