Search results

As the former method, the Co nanoparticle was synthesized by reduction of cobalt chloride with sodium borohydride in aqueous solution.
The size of nanoparticle was confirmed by transmission electron microscopy images and scanning electron microscopy images, according to the different methods The crystal structure of nanoparticle according to reaction condition was characterized by X-ray diffraction data.
Several synthetic techniques have been applied to synthesize magnetic metal nanoparticles, including thermal decomposition, sonochemical method, reduction of metal salts by borohydride derivatives, laser pyrolysis [2,3].
On the other hand, the chemical reduction [1, 9] of transition metal ions by use of borohydride derivatives in aqueous solution has been studied.
EDX data indicates 100% of cobalt.

The measured data show that (1) Although the measured sound levels of these bridges meet the requirement of Chinese codes, they are near the maximum limit and the vibration and noise reduction is necessary; (2) A-weighted sound level of bridge is close to that of the road nearby; (3) Z-weighted sound level of bridge is much greater than that of the road nearby, it indicates that the bridge noise contains much low frequency noise, so that A-weighted sound level can’t reflect the noise of bridge accurately, and Z-weighted sound level shall be used to evaluate the acoustic environment near bridges.
Fig. 1 Measurement point on the bridges (m) Explanation for measurement data.
So vibration and noise reduction should be taken for a better acoustic environment.
(1) The measured bridge and road noise meet the requirement of Chinese noise standard, but they were close to the limitation, so that the vibration and noise reduction is necessary

Introduction Energy-saving and emission-reduction is a systematic engineering.
With the environment of energy-saving and emission-reduction occurring, the standby power waste of electrical equipment should not be overlooked.
Wenxuan Yao has designed a multi-functional intelligent socket using low power SCM PIC16F877A for data processing and controlling.
The authors of papers [4,5] developed a socket with sensors, which can collect the values for the power consumption data and can switch on or off the power supply to plugged-in appliance(s).
Davcev: Box-Dimension as a Correlation Measure for Data Mining of Power Socket Sensor Data (Trans Tech Publications, Italy 2011)

Then this model was used to simulate tension-compression tests of Weldox960 steel and study the springback and reduction of thickness in cold-bending.
Using the data fitting method, , and are obtained easily and also shown in Table 1.
For studying the reduction of thickness, an 8-node incompatible element C3D8I instead of shell element was used to mesh the specimen.
It shows that the simulative angles have pretty good consistency with experimental data.
Meanwhile it is found that the reduction of thickness in cold-bending can be ignored for Weldox960.

Lead, Mercury and Cadmium etc as the main evaluation index of heavy metal pollution established relational data model.
In fact, there are many uncertainty factors of heavy metal pollution, Rough set is a new mathematical tool to deal with uncertainty, inconsistent, incomplete data.
The evaluation model based on Rough Set Theory Establish the relation data model.
Table1 Heavy metal pollution index and pollution levels Sampling point Hg Cr6+ Cd As Pb Cr The comprehensive pollution index value 1 Ⅰ Ⅱ Ⅰ Ⅲ Ⅲ Ⅱ Good 2 Ⅱ Ⅱ Ⅰ Ⅱ Ⅳ Ⅱ Terrible 3 Ⅱ Ⅲ Ⅰ Ⅲ Ⅳ Ⅱ Terrible 4 Ⅱ Ⅱ Ⅱ Ⅳ Ⅳ Ⅲ Terrible 5 Ⅱ Ⅱ Ⅱ Ⅳ Ⅳ Ⅱ Terrible 6 Ⅲ Ⅲ Ⅱ Ⅳ Ⅳ Ⅲ Terrible 7 Ⅱ Ⅱ Ⅰ Ⅳ Ⅳ Ⅲ Terrible 8 Ⅳ Ⅳ Ⅲ Ⅳ Ⅳ Ⅳ Terrible 9 Ⅳ Ⅳ Ⅳ Ⅳ Ⅳ Ⅳ Terrible 10 Ⅳ Ⅲ Ⅳ Ⅳ Ⅳ Ⅳ Terrible 11 Ⅳ Ⅳ Ⅳ Ⅳ Ⅳ Ⅳ Terrible 12 Ⅲ Ⅲ Ⅱ Ⅳ Ⅳ Ⅳ Terrible 13 Ⅳ Ⅲ Ⅳ Ⅳ Ⅳ Ⅳ Terrible 14 Ⅲ Ⅱ Ⅱ Ⅳ Ⅲ Ⅲ Terrible 15 Ⅰ Ⅱ Ⅰ Ⅱ Ⅰ Ⅱ Good 16 Ⅱ Ⅲ Ⅰ Ⅳ Ⅲ Poor Data preprocessing: We got the information table is not a complete information table, as show the NO.16 data in table 1, there are missing values, according to the data the indiscernibility relation in Rough set theory to complete the missing data.
This is for the purpose of reduction data completion method, can get good result reduction.

Data analysis.
A series of experimental data are obtained.
Different natural frequencies will be extracted through the experiment data analysis.
Data analysis.
The inaccurate data are removed, and the average values of the reserved natural frequency and damping ratio data of every order are calculated in order to guarantee the data to be closer to the real value.

Direct mechanisms involve adsorbed biocompounds, generally enzymes or their active sites, which catalyse the cathodic reduction of oxygen for aerobic biocorrosion or the proton/water reduction in anaerobic processes.
A few works have also described biofilms that are able to catalyse cathodic reductions.
Aerobic Corrosion Established enzyme-based mechanisms for oxygen reduction.
New experimental data have demonstrated that hydrogenases can provoke local corrosion of carbon steel in the absence of phosphate species.
In this case, only a direct catalysis of proton/water reduction can be suggested as an explanation.

Besides the mass loss data, the residual strength and the thickness of the corroded layers were used for the characterisation of the corrosion intensity.
enhanced subcritical crack growth, reduction of strength by pit formation.
Besides the mass loss data, the residual strength and the thickness of the corroded layers were used for the characterisation of the corrosion intensity.
All ZrO2 containing materials show a reduction in strength especially under hydrothermal conditions.
The Mg- PSZ and ZTA ceramics exhibit a reduction in the residual strength under hydrothermal conditions, whereas in acids this strength reduction is much less pronounced.

The technique analysis the sum of squares(SS) instead of the data.
Permanent-magnet synchronous motor magnet designs with skewing for torque ripple and cogging torque reduction[J].
Influence of machine symmetry on reduction of cogging torque in permanent-magnet brushless motors[J].
New cogging-torque reduction method for brushless permanent-magnet motors[J], IEEE Trans.
Li, et. al, Optimization for Reduction of Torque Ripple in an Axial Flux Permanent Magnet Machine[J].

Table 2 presented the data obtained from nitrogen adsorption-desorption measurements, the BET surface areas of PS, CPS-1~3 were all extremely small, the average pore diameters and pore volumes were not detected, which meaned that there were no obvious pores on these materials.
These data suggested that the BET surface areas and pore volumes of PPS-1 to PPS-3 showed an increasing trend, while the average pore diameters of PPS-1 to PPS-3 were all close to about 10 nm, this might be because that with the increase of carboxymethyl contents of CPS-1 to CPS-3, more pores were formed after the complexation reaction of carboxymethyl with Cu2+.
Table 2: Experimental data of nitrogen adsorption-desorption measurements.
Sample Total particulate matter (TPM) (mg/cig) TPM reduction rate (%) Hydrogen cyanide (HCN) release (μg/cig) HCN reduction rate (%) HCN reduction rate per TPM*(%) Control 14.2 — 113.0 — — PS 13.1 7.7 102.5 9.3 1.7 CPS-1 13.2 7.0 102.0 9.7 2.9 CPS-2 13.2 7.0 102.1 9.6 2.8 CPS-3 13.3 6.3 101.8 9.9 3.8 PPS-1 13.5 4.9 48.5 57.1 54.9 PPS-2 13.5 4.9 39.6 65.0 63.1 PPS-3 13.6 4.2 35.5 68.6 67.2 Note: HCN reduction rate per TPM = (HCN release of control sample/TPM of control sample - HCN release of test sample/TPM of test sample)/(HCN release of control sample/TPM of control sample) As presented in Table 3, the use of PPS-1~3 could reduce the HCN realeases in cigarette mainstream smoke by 57.1%, 65.0% and 68.6%, respectively, and the TPM reductions were 4.9%, 4.9% and 4.2%, respectively, so the HCN reduction rates per TPM were 54.9%, 63.1% and 67.2%, respectively, which indicated that the addition of PPS-1~3 could significant reduce the HCN releases in cigarette mainstream smoke.
[25] X H Sun, J Zhu, Y P Wang, et al., Dual Functional Modification of Mesoporous Material and its Effect on Hydrogen Cyanide Reduction in Cigarette Smoke, Tobacco Science & Technology. 48 (2015) 27-33