Search results

Obtained data showed that rougher surfaces tend to slide faster if contact area is larger but the effect reverses if contact area is reduced.
In order to obtain data from different experimental settings additional measurements will be performed in our future studies focusing on how applied load will influences obtained curves.
Obtained data were approved by national skeleton athletes, who reported that runners with less contact area have tendency for better sliding ability.
Unfortunately, contact area reduction interfere athlete`s ability to steer the skeleton meaning that optimal curvature and roughness needs to be found.

The dynamic recrystallization mathematical models were developed based on experimental data.
Then the specimen was deformed with a specified strain rate at the selected constant temperature and the reduction in height is 60% after the hot compression test.

The data of the developing crack, and the deflection of beams are experimentally obtained.
Because the reduction of initial crack is rather obvious, it is a good strengthening effect in the general application.

The model employing a dynamic thermal-network simulates heat transfer through the wall according to the measured data.
The solar absorptivity increase as the outside surface colour get darker.Our aim is the reduction of the energy consumption in the Qinghai buildings through the use of solar energy.

According to the geological conditions of volcanic rock reservoirs special, in the full analysis of the dynamic and static data, and on the basis of preliminary mastered the gas, water relations; And the use of gas production method, the method of curve, economic boundary method and the improvement of horizontal Wells method of the gas line technology reasonable production optimization and argument, high efficient and economical for gas field development.
Songnan gas field is Volcanic reservoir with bottom water, to consider the following: first, the gas well proration can not be too high, Because of high proration will cause water coning, resulting to water flooding; but proration can not be too low, the water produced by gas reservoir can not outflow with gas, remain in the wellbore, long time gathered, cause back pressure, result to reduction production, even Shut-down Wells.

In work are submitted data of casting mold coverings with nanopowders application for molding lead bronze.
It enables significant reduction of machining allowance.

Dynamic compressive tests were conducted using a compressive Kolsky bar and then the test data were analyzed in relation to microstructure and fracture mode.
The gradual reduction of stress even after the peak point is associated Table 1.

Each pass exerted a thickness reduction of about 0.1 mm.
This measurement is based on the integration of 162 separate Debye-Scherrer frames covering the entire pole sphere, i.e. the data are quantitative.
The data reveal a drop in the relative diffraction signal with increasing total strain from ~15% to ~3%.
Since our data (Fig. 1) show the evolution of a deformation texture on the basis of chain slip it may be concluded that the critical stress for the activation of strain-induced amorphization is larger than that for the activation of (100)[001] chain slip.
This applies in particular to 473K (Fig. 4b) where the data show a strong change of the relative diffraction signal as a function of time during isothermal heat treatment.

Yet these time-frequency tools have the following drawbacks: (1) Phase information is overlooked, which actually often plays an important role in discriminating fault features. (2)The performance of time-frequency analysis is affected by the inherent spectral leakage and barrier effect caused by Discrete Fourier transform, resulting in reduction of the estimation accuracy of both frequency and amplitude, so new techniques are required to overcome these shortcomings.
Eq.1 tells us that the angle of Y(k) ‘θ0’ can be directly considered as the phase value, which is exactly the theoretic phase of the (2N-1)-length data vector’s central sample ‘x(0)’.
Fig.3 and Fig.4 reflect the case of rotor misalignment (sampled data is from ALNT1_DH file in Literature [9]), where the order N of apFFT’s spectral analysis is 128, and harmonic number M for reconstruction is 10.
Fig.3 Rotor misalignment signal and its reconstructed Fig.4 Spectral analysis of rotor misalignment Waveform (M=10) Table.1 Parameters estimation of rotor misalignment amplitude Frequency[Hz] Phase [rad] Estimated value Theoretical value fundamental frequency 89.4125 106.4285 102.8811 0.2293 second harmonic 115.5177 204.7330 205.7622 -1.6764 third harmonic 55.5238 311.3132 308.6433 -2.2688 fourth harmonic 15.1088 450.8380 — -1.8778 fifth harmonic 54.7632 516.2701 514.4055 -2.6558 Fig.5 Rotor unbalance signal and its reconstructed Fig.6 Spectral analysis of rotor unbalance Waveform (M=4) Fig.5 and Fig.6 reflect the case of rotor unbalance (sampled data is from BND1_DH1 file in Literature [9]), where the order N of apFFT’s spectral
Table.2 Parameters estimation of rotor unbalance amplitude Frequency[Hz] Phase[rad] Estimated value Theoretical value fundamental frequency 48.1474 91.7413 89.6853 1.0458 second harmonic 9.9197 175.5459 179.3706 0.5394 third harmonic 5.3709 267.2282 269.0559 2.6565 fourth harmonic 4.9801 374.6271 358.7412 2.0093 Fig.7 Surge signal and its reconstructed waveform Fig.8 Spectral analysis of surge (M=3) Table.3 Parameters estimation of surge amplitude Frequency[Hz] Phase [rad] Estimated value Theoretical value Inter-harmonic frequency 45.4588 27.9356 — 0.4517 Inter-harmonic frequency 7.9983 120.3457 — 3.0935 fundamental frequency 22.8980 199.4124 196.5428 -3.0096 Fig.7 and Fig.8 reflect the case of surge (sampled data is from SUR1_DH file in literature [9]), where the order N of apFFT’s spectral analysis is 128, and harmonic number M for reconstruction is 3.

Parameters of field experiments Pump flow rate (m3 /h) Duration (h) Gross water flow (m3) Gross K15NO3 (g) Concentration of K15NO3 (mg/L) Seepage depth in plots(cm) 0.880 3.5 3.07 30 9.77 10 Sampling And Pretreatment To meet the statistics requirements, each data was obtained from three parallel random samples.
Data Processing The Kolmogorov-Smirnov method was used to check the normality of each variable; if the variable did not follow a normal distribution, its distribution was normalized by transformation of the variables using Napierian logarithms.
The confidence level of the entire data analysis was 95% except where stated otherwise.
SPSS software 13.0 package was used for the data processing.
These purification capabilities have been shown to be affected by the types of vegetation covering the wetland [2], soil utilization types [3], hydrographic courses [4], soil types [5], oxidation-reduction potential of soil, physical features and nutrient content of soil, and soil temperature [6].