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The machinability data systems are essential for the selection of optimum cutting conditions during process planning, and it has become an important component in the implementation of computer integrated systems.
· Data acquisition card set-up (DAS 1602/12)
There are several reasons for emphasizing the 2k design, such as a relatively few runs are required, the design is easy to use in sequential experimentation and the data can be processed using graphical methods.
The data collected is shown in Table 2. 5.
Analyzing the results The models are fitted to the data and graphs are generated to evaluate the effects of machining conditions on cutting forces, tool life and surface roughness.

The simulation data and the latest UCI machine learning taste signal data (Wine Quality) are used to verify the new method, and the new method is compared with other identification algorithms.
Example Simulation Data The decision table comes from the 4th literature of this paper.
UCI Taste Signal Data In order to validate the feasibility and effectiveness of this algorithm we take Wine Quality database ,the standard data set of machine study of UCI, as test data [5].
Chen etc: Data mining model based on rough set theory [J].
Reis: Modeling wine preferences by data mining from physicochemical properties.

At the same time, the Kappa number was too high .Kappa number is characterization of lignin removal condition data, indicating that the degree of delignification, and the main purpose of cooking is delignification, so this condition to be excluded.
When alkali dosage was 24%, the Kappa number was low, indicating that degree of delignification was high, pentosan have a certain degree of reduction, to provide a good basis for the subsequent treatment.
Table 4.Effect of MgSO4 dosage on oxygen delignification MgSO4 dosage/% Pentosan content/% α-cellulose content/% kappa number/% DP/% brightness/ %ISO Yield /% 0 3.52 89.62 2.48 499.89 64.5 96.96 0.2 5.33 87.74 2.56 498.89 63.4 98.67 0.4 2.57 87.01 2.22 517.83 63.8 92.81 0.6 3.09 88.98 2.62 532.68 64.1 92.08 It can be see from Table 4 that reduction of pentosan decreased, but the reduction in kappa number was obvious relatively, MgSO4 was added in an amount 0.6%, kappa number has been reduced to 2.62, brightness was also greatly improved, adding hydrogen peroxide to oxygen bleaching process was very effective for delignification, it is a forcefully step on delignification and bleaching effect was obvious.

The presence of air bubble in the mixture may affect the data during compression testings.
The investigation shows that an increased in temperatures resulted in significant reduction of the compressive strength and modulus elasticity of the nanoclay filled polyester resin.
All weight percentage filler samples showed reduction close to 70% in strength, particularly at high temperatures closer to the Tg temperature.
Despite the reduction, the nanoclay filled samples have indicates improvement in strength by almost 40% from neat samples to 5wt% samples at elevated temperatures.

For the bath free of TCA, the cathodic current density increases drastically below E = -1.157 V due to the reduction of Zn2+ ions.
Farther, two limiting c.d. small plateau on the j = f (E) curve are observed which may correspond to Mn2+ reduction and hydrogen evolution.
Character of j = f (E) curves obtained in the presence of TCA indicates that after the initial blocking of the electrodeposition process, the simultaneously reduction of Zn2+, Mn2+ and H+ ions take place.
As a result of approximation of experimental data in the case of one-CPE model, the following parameters could be obtained: Rp, T, φ and Rs (Tab.1).

Microbial sulfate reduction has the additional benefits of being an acid-consuming reaction (at pH <7) and of lowering concentrations of sulfate.
Dissimilatory sulfate reduction consumes protons at low pH, and the rate at which this occurs is used to control the flow of feed liquor into the bioreactor vessel (which is usually maintained at pH 3-4).
Typical rates of sulfate reduction were ~ 0.6 g sulfate reduced L-1 day-1.
Ivan Ňancucheo (ITV, Brazil) for providing the mine water data.

The data was treated and analysed with the Excel and SPASS (18.0).
The Fig.2 shows that the change trend of the Tr in the stevia germplasms are with the change trend of the Pn under corresponding degree of drought stress, and the extent of reduction of Tr in T2 ( without irrigation for 10 days) is the biggest in the stevia germplasms: the IS-1, the QF-1, the QTZ4, the JD-1 and the AL-4 decreased for48.56%, 48.33%, 46.58%, 47.41% and 47.85% than that in T1, respectively, and the extent of reduction of Tr in the IS-1 is minimum in the 5 stevia germplasms.
In the T3 (without irrigation for 15 days), the extent of reduction of Tr in the IS-1 is minimum, the QF-1 is maximum and there is no significant difference with the rest 3 stevia germplasms.

Reduction of impurities during this phase is crucial for the growth of low-defect SiC bulk crystals.
Another reason for reduction of the impurities concentrations in the grown crystals is additional barrier in the case of growth in TaC for the impurities entering from the external graphite fixtures and thermal insulation, that was also observed in [4].
Impurity concentration in SiC source and SiC crystals (SIMS data).
As a result, partial pressure of C-containing species inside the crucible in presence of Ta (TaC) is lower, and, this leads to reduction of formation of graphite inclusions in the growing crystal.

a) b) Fig.4 Flow direction of sheet blank and viscous medium during VPF process: a) stroke of piston is 7mm; b) stroke of piston is 17mm Effect of viscous medium on thinning of sheet blank Fig.5 shows the thickness reduction distribution of the panel formed by VPF and that by rigid punch under the same conditions.
a) b) Fig.5 Thickness reduction distributions of panels formed by different forming processes: a) VPF; b) rigid punch drawing Panel shape In order to illustrate the effect of the VPF process to the springback of the panel, the shape of the panel formed by VPF is compared with that by rigid punch.
By comparing the geometry data of the panel and the die surface, the springback is obtained, as shown in Fig. 8.
Effect of tool temperature on the reduction of the springback of aluminum sheets, J.

Results and Discussion For the facilitation in comparison of experimental data, specimens were numbered and separated into two groups as Welded (W) and Non-Welded (NW).
Hardness reduction in the microstructure after the welding process causes the material to show ductile behavior.
In first state, overheating of γ′′ caused further impact resistance reduction in welded specimens.
Hardness reduction in the microstructure after the welding process causes the material to show ductile behavior.