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On the premise that the cavity is completely filled with material, the reduction of flash is of great significance for improving material utilization and reducing the product cost.
The regression equation of RSM was established by the least square method with the sample data in the CCI experiments for this forging-die.
In order to prove that the above optimal solution is efficient, comparison studies between the optimized data obtained by response surface methodology (RSM) and those by genetic algorithm (GA) were made [3-5].
First, according to the same data of CCI design, the approximate model is established using kriging interpolation algorithm [6], which can indicate the relation between the design factor of flash gutter and the volume of flash.

The reduction in process temperature may suppress the dopant diffusion so that the abrupt transition regions can be obtained.
Table 1 shows the SIMS data representing the areal densities of carbon and oxygen at the epilayer/substrate interface.
SIMS data representing the oxygen and carbon areal densities at the epilayer/substrate interface.
SIMS data indicate that the formation of a defective epilayer is related to the existence of surface oxygen species.

R = k[H2O %][SiN*] = k'[H2O %] = RT Ea ek −0 [H2O %] (1) Taking published data of Si3N4 etch rates in boiling and non-boiling hot-H3PO4 solutions [5], and fit them in an Arrhenius plot using equation 1, all data can be fit onto one line (see Figure 6).
In the no-flow experiment reduce removal rate of silicates near the surface can explain the reduction in SiO2 etch rate.
y = -11.1x + 27.1 0 1 2 3 42.1 2.2 2.3 2.4 1000/T(K) ln { R /[H2O%]} Figure 6: Published Si3N4 (LPCVD at 880ºC) etch rate data (etch rates in Å/min) in hot H3PO4 corrected for water concentration [5].

A signal generator (SP1651 type digital synthesis of low frequency signal generator), the conditioning circuit, the data acquisition card and the laser sensor (FT5070F) or force sensor (FA1004) are used to experiment the C-polymer actuator.
A DAQ (Data Acquisition) device and software operation platform is established.
Through the data analysis of the curve, its tensile stress changing with strain presentes a basic linear increase.
Characteristics on drag reduction of bionic jet surface based on earthworm's back orifice jet.

And the cause of vibration is founded through studying data acquired from experiments.
The measuring data indicate that the eigenfrequency of joint shaft is 290Hz, grinding carriage about 135Hz - 150Hz, workbench about 150Hz - 170Hz.
Reduction of decentration of grinding wheel spindle.
In terms of data of Table 2, the acceleration and displacement of grinder with grinding wheel are both bigger than without wheel.

Recently, the hydrogenated amorphous silicon (a-Si:H) device is used in the LCD because of good uniformity, lots of ease of a fabrication and cost reduction.
To analyze the experimental data, we use the carrier trapping noise model with correlated mobility fluctuations.
Results and Discussion From Eq. 1, SVfb can be extracted by fitting and Fig. 2 shows the best fitting data.
The obtained density of tail states as a function of energy is shown in the Fig. 3(b) (dotted data).

The data acquisition system records the signals from four T-type thermocouples, located at inlets and outlets of MCHE, and the differential pressure transducer between the inlet and outlet chambers in the cold side.
Data reduction The actual effectiveness of the MCHE in the single- and two-phase regions is analyzed below.
Under the conditions of single-phase liquid methanol flow in the cold side, good agreement between experimental data and numerical predictions are demonstrated.

The data such as the voltage range and the width of electrode were inserted into the system via its software.
Therefore, the stress reduction mechanism was employed by refining the sp3 bonding to sp2 bonding during the deposition in nature (P.N Vishwakarma et al, 2005) [6,8].
First of all, there are two different range of current density of DLC thin films were presented in the log data plot.
Film thickness measurement provide a qualitative data which compatible to result, growth of DLC thin films in this optimum substrate temperature was presented while the issues of previous thickness analysis was affirmative.

Table 1 The Recognition Rate of Target Orientation Experiments The Serial Number The Recognition Rate of Group 1 The Recognition Rate of Group 2 0 78.31% 98.70% 1 61.64% 85.07% 2 50.00% 52.27% 3 55.26% 65.28% 4 52.08% 68.92% 5 68.09% 70.31% 6 67.86% 86.30% 7 62.32% 70.15% 8 46.77% 55.00% 9 54.81% 68.85% 10 51.19% 61.02% 11 81.55% 90.77% AVERAGE 60.82% 72.72% Table 2 The Time-Interval of Target Orientation Experiments The Serial Number The Time-Interval of Group 1 (s) The Time-Interval of Group 2 (s) 0 2.92 1.76 1 4.53 2.32 2 6.25 4.03 3 4.86 3.10 4 6.09 3.45 5 4.11 3.82 6 3.27 2.76 7 4.26 3.26 8 5.67 3.79 9 4.21 2.75 10 4.90 3.28 11 3.23 2.12 AVERAGE 4.53 3.04 After identifying the location of the vibrating tactor which represents the direction information of the target, the subject choose the direction by a single left click of the mouse on the software interface of target orientation experiment and the related data was recorded by the software.
The data of Table 1 and Table 2 is average recognition rate and time-interval of the appointed tactor.
After detailed comparison of the data of two sets of comparative experiments, it is found that the accuracy and speed of Group 2 is significantly higher than Group 1 in the same experiments due to the subjects’ proficiency.
The average promotion of the recognition rate is more than 10 percentage while the average reduction in the interval is about 1.5 seconds.

Carbon tax policy can contribute to the development of renewable energy [3], encourage strengthening environmental management applications [4], and help create the basis for developing economies [5].This paper provides the basis of a carbon tax model is not taking any mode of carbon dioxide emission reduction strategies.
The related data for this example are shown in Table 1.
Table 1 Example data（in thousand） Projects(i) Available capacity 1 2 3 4 5 Bid price Pi 81000 85000 91600 81000 89000 Direct material constraint bil 5500 6000 9000 5100 8500 W1=20000 Direct labor constrain 800 1100 1200 1000 1300 Direct machine constrain 700 900 1100 800 1100 CO2 emission constrain 660 850 1200 900 1000 Analysis (1) Assessing the CO2 emissions of building projects.
(2) Determining the optimal building projects Based on the data in table 1 and related mathematical model above, the first step is to determine the optimal building projects before considering the CO2 emission costs.