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The reduction in viscosity was observed even at low shear rates, which indicates the absence of extensive spatial structure in the oil heterogeneous system.
Addition of water-based CNT suspensions to water-oil emulsion provide reduction in viscosity only at sufficiently high concentrations of CNT (0.82 wt.%) [10].
The graph shows that the reduction of the dynamic viscosity of the samples is 12-15%.
The reduction in viscosity was observed even at low shear rates, which indicates the absence of extensive spatial structure in the oil heterogeneous system.
Boiler fuel additives for pollution reduction and energy saving, Noyes Data Corp., 1978

Pure nickel (99.999%) was cold rolled by a 95% total reduction, and then samples were annealed at 200 °C for 1 hour and quenched for fully recovery, and finally annealed at 600 °C for 1 hour and quenched in water.
Nickel was cold rolled by a 95% total reduction in thickness and subsequently annealed.
Fig. 1 Hardness data for Ni cold-rolled to 95% after annealing at different temperatures for 1 hour Figure 1 shows the micro-hardness changes of pure nickel annealed at various temperatures, ranging from 100 °C to 800 °C.
After 95% rolling reduction, the microstructure of a cold-rolled nickel showed a typical deformed structure, the micro-texture of this material presented a typical copper-type texture (Fig. 2a), and it was easy to develop strong cube texture after annealing.
Compared with sample A, sample B had more low-angle grain boundaries (see Fig. 5), but less Σ3 grain boundaries (see Fig. 6, sample A is 29.7% and sample B is 12.1%), the sharp reduction of Σ3 grain boundary fractions can significantly low the groove depth of the substrates during high-temperature annealing process.

And in recent years, along with the trends of a global energy saving and carbon reduction, the concept of producing green products with low-carbon, water saving, energy abating, pollution decreasing attributes has arisen.
The printing process is the textile printing via digital data processing through the scanners and digital imaging machines etc to input devices.
The samples adopt the color blocks drawn by the three primary colors and match with four different inks to print respectively on the fabrics in cotton, silk and polyester fiber, and then analyze data after being measured by spectrophotometer. 4.1 Comparison between nano ink and reactive ink digital printing applied to cotton fabrics Apply nano ink and reactive ink digital printing to cotton fabrics.
Collect pictures of theme image and transform them into design sketches, fabrics, data search, analysis, and then confirm the design.
Therefore, this study, primarily through the Nanotechnology with green environmental protection and reduction of carbon from Mimaki Engineering Co.

The magnetic α-Fe nanoparticles were carried out using two-preparation methods that include solution phase metal salt reduction and organometallic precursor decomposition.
In this respect, the well-known reduction methods [6] display limitations due to their lack of variability.
Reduction of transition metal salts is the oldest, easiest and still a widely used method for the preparation of metal nanoparticles.
The crystal size determined by Debye-Scherre equation with XRD data are 15 nm and 45 nm, which are close to the particle sizes calculated from TEM images (12.5 nm and 40 nm for Fig.2.

With the analytical model presented here, substantial reduction in computational time is achieved in the predictions of machining workpiece temperature rise.
Coelho's [11]experimental data is used ,as shown in Table 1 and Table2.In his research the workpiece material is hardened AISI4340 , with a diameter of 200mm long and 55.5mm diameter .Eq.7 gives an exact analytical solution of the band heat source moving in a semi-infinite medium, which is near to the primary heat source .The area of Using the principle of interpolation , isotherms of temperature are plotted as shown in Fig 5.
z mµ Tab 1 Cutting data from Reginaldo T.
The model is verified with experimental data of temperature rise on AISI4340 (Coelho).Compared to FEM approach, considerable reductions in simulation time can be achieved, and give a good way to select the proper machining conditions.

At a power input of 6.0W, reductions in the evaporator wall temperature of about 32.3℃ and 24.4℃ were obtained for the micro-PHP at vertical and horizontal orientations, respectively.
Fabrication of a silicon-based micro pulsating heat pipe Experiments Fig. 3 illustrates the experimental system, which was composed of the test section, heating unit, data acquisition system, water cold bath, and a video recording system.
The output signals from the thermocouples were collected through a computerized data acquisition system.
As a result of these reductions, significant improvement in the silicon wafer’s reliability may be possible.
The maximum temperature reductions of the evaporator wall between the empty and FC-72 charged micro-PHP were presented.

The inserted steel tubes in the middle of the column cause the reduction of its capacity and the reduction factor from axial loading is bigger than that from bias load.
All data is collected with static strain testing system consecutively.
Generally, compare to bias load, uniaxial compression shows more impact on the value of reduction factor.
With the increase of the eccentricity, the value of the reduction factor decreases.
Thus the reduction caused by the welding should be considered seriously as the tubes in practical projects are all welded.

The oxide thickness was estimated from capacitance-voltage (C-V) data and a profile meter.
This is revealed from C-V data and thermally stimulated current measurements (TSC) on n-type reference capacitors.
Fig.3: C-V data of a N2O grown n-type MOS structure and wet oxide reference capacitor.
Fig. 4: Interface state density extracted from the C-V data in Fig. 3.
Fig. 7: Interface state density extracted from CV data of n-type MOS capacitors showing the effect of the RTP anneal.

This reduction in mechanical performance must be considered during product design to ensure long-term structure endurance.
The reduction in mechanical properties is often due to degradation at matrix/fiber interface [7,8].
The experimental data was used to carry out the coupled mechanical-diffusion analysis. 2D and 3D models were developed in Abaqus to simulate moisture diffusion from any surface and varying moisture/ temperature conditions.
Similarly for 3D model absorption behaviour is shown in Figure 3, which is in close agreement with simulation results and with the experimental data.
Figure 2 Comparison of 2D Abaqus model with Experimental data having absorption for 112 days Figure 3 Comparison of 2D and 3D Abaqus model with In Figure 4 2D moisture diffusion across depth of specimen is deliberately calculated and shown to compare with classical Fickian diffusion.

The algorithm of formation is also given in the method, with which, the number of discernibility matrix element is decreased, the space of data is saved and the speed of data mining is increased.
If the data table is used to store, the number of this data table record is R.
Table3 The two algorithm algorithm Time-consuming Data sets Reference [6]Table1 Iris Balance Mushroom Table2 Number of objects m 35 150 625 3122 100 Number of condition attributes 8 4 4 22 5 Time-consuming of MFMA (s) 0.09 0.53 6.82 2231.215 0.17 Time-consuming of definition methods (s) 0.33 44.2 1535 174716.4* 10.3 5.2 Explanation of experimental data The data in Table 4, Table 1 of Reference [6], Iris, Balance and Mushroom are the reduct data tables, and table 3 is non-reduct data table.
The data with* in the table is the projection data which is proposed in the Reference [7]. 6.
[5] Xiongfei Li,Jun Li.Data Mining and Knowledge Discovery [J].