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Ultrasonic treatment of a preliminary deformed TiNi alloy in a fixed state promotes reduction of strain recovery at subsequent heating through the temperature interval of the reverse martensite transformation, i. e. some locking of the induced strain occurs during the ultrasonic treatment of material in a fixed state.
There is not enough published data correlating the ultrasonic influence on functional properties of shape memory materials.
Conclusion The following conclusions can be made from the obtained experimental data: – the ultrasonic treatment influences on shape recovery parameters of TiNi shape memory alloys: recovery strain increases after preliminary UST with the amplitude of mechanical stress ~ 25 МPа; – the sample heating dynamics has a non-monotonic nature during the ultrasonic processing: there is an abrupt increase in temperature for the first few seconds of switching ultrasound on, then the decrease follows to some value and stays practically constant till the moment of switching ultrasound off; – the ultrasonic influence on shape recovery parameters of TiNi shape memory alloys after preliminary martensitic deformation and ultrasonic treatment in a fixed state was determined: the strain recovery is reduced with an increase in the applied USVs amplitude; – the extension of shape recovery temperature range for the first thermal cycle, as well as the dependence of strain recovery temperature dynamics on
the power of ultrasonic influence were observed after ultrasonic treatment of TiNi alloy; – the ultrasonic treatment of TiNi alloy in a fixed state after preliminary martensitic deformation causes reduction of the phase yield stress with increase in capacity of ultrasonic influence and also contributes to increase of recovery strain upon the subsequent heating.

Step 5 (Temperature reduction).
Fig.1 Architecture of SVM-SA forecasting model Simulation experiment and results The hourly climate data and building cooling load from May to September is considered as experimental data in this paper.
The data are divided into three data sets: the training data set, the validation data set and the testing data set.
The cooling load data were sampled per hour in every day.
The SVM-SA model performs best when using 30 input data.

Finally, the predictive capability of the proposed method is demonstrated by comparing our theoretical predictions with the available experimental data.
Thus, the geometrical discontinuities trigger a significant amount of reduction for the fatigue strength.
The PZS calculated using the above procedure, PZS1 termed herein, is valid only when a crack tip is present near a notch root, whereas when a crack is very long, the following equation [8] for a central crack in an infinite plate under tension gives a more precise value of PZS: . (9) Therefore, PZS can be obtained by using the following condition in addition to Eq. 5: . (10) a** signifies the value of a with which PZS1 = PZS2. 3 Results and Discussions 3.1 Experimental Data In this study, the predictive capability of proposed method is demonstrated by comparing with the experimental results obtained by Akiniwa and Tanaka.
The details of the specimens are given in [5]. 3.2 Comparisons between the Theoretical Predictions and the Experimental Data The behavior of a fatigue crack emanating from a notch under uniform tension is simulated.

Then the model was validated using vibration data acquired from a centrifugal pump on full load.
The network was found to be effective in classifying non-linear functions, noisy, and incomplete data.
Twelve cases were investigated from two different test-rigs, the technique estimated the physical size of the spall with average errors of the order of 12% (with data acquired from German Aerospace Center’s test-rig) and 13% (with data obtained from the University of New South Wales’ test-rigs) and maximum bounds in the order of 24% (with data acquired from German Aerospace Center’s test-rig) and 22% (with data obtained from the University of New South Wales’ test-rigs).
And in condition monitoring application, kurtosis is a preferred over CF due to its immunity to false data caused by statistical inconsequential noise [33]. 3.2.2.2 Frequency-domain Data Time domain data is transformed using fast Fourier Transform (FFT) to digital data (frequency domain).
Vasquez, A review on data-driven fault severity assessment in rolling bearings, Mech.

Moreover, real structure dynamic behavior is only available if minimum amount of data is available.
Heo et al. derived a kinetic energy based technique and applied it to real experimental data obtained from a model of an asymmetric long span bridge [5].
Expand the corresponding measured data using System Equivalent Reduction Expansion Process (SEREP) v.
Modal Expansion.Unfortunately, it is not possible to have data measurements in all DOFs.
Modal expansion solves the mismatch between the analytical model and the experimental data.

No difference between the 300 K data at different magnetic field was detected.
In Fig. 2(b), the carrier density data increase progressively going from sample A, to B, and to C, at any temperature, with a common feature trend.
In the lower temperature region, the mobility data increase going from sample A to B to C, while in the higher temperature region the mobility data are higher going from sample C to A to B, the two latter also showing the maximum at about the same T.
The electron density, mobility and resistivity data at room temperature obtained by the P and Al co-implanted vdP are in agreement with the literature data for equally implanted P concentration and equal post implantation annealing temperature.
Comparing the observed effect of the annealing time with literature data has not been possible because the processing condition of the samples varied significantly.

On the other hand, the surface roughness data at different planetary gear ratio and polishing time have been measured.
When n0 is too small, part of the ring is destructed at certain position (Figure (a)); (2) Along with the reduction of n0, S shape of the foreside glide lamella of the abrasive flow becomes unobvious gradually, especially in the first quadrant, where the foreside has been in the middle state between the flow and dispersion (Figure (b)); (3) In the upper-half circle, the effect of gravity is evident because of the reduction of the centrifugal force.

Nevertheless, the experimental data of the entire concentration range were not in line with the adsorption isotherm with constant parameters.
In such situation, we tried to divide the whole experimental data into two sections and fit each section individually.
Nevertheless, after reaching a definite concentration value, 400mg/L with a maximum inhibitive efficiency about 60%, the subsequent increase of inhibitor concentration results in a reduction of protective effect.
Fig.2 Fitting results of experimental data by Langmuir, Frumkin and Temkin isotherm in the entire concentration range Obviously from Fig.2, in the whole interval of the inhibitor concentration range, none of the three general isotherms are suitable for the adsorption of tinidazole on steel surface.
Conclusion Owing to the incompetence of the constant-parameter Langmuir, Temkin, or Frumkin isotherm in interpreting the adsorption behavior of tinidazole on steel surface in the entire concentration range, A two-section model based on Temkin isotherm was proposed to fit all the experimental data to clarify the adsorption of tinidazole on the steel surface.

(3) Mesh refinement and load application To eliminate fluctuation influence of the shear force when shear fractures and to make simulation data closer to the actual, mesh refinement is needed which is shown in Fig 2.
Actual data and analysis of past shows that the boundary point between cutting layer and tear layer lies in 1/5 to 1/3 of the line ab, so extracting feature points at the surrounding area and by comparing the stress values and material yield stress[3].
[Table1] The coincidence degree condition Group Number Plate Thickness/mm Tension Force（Y）/N Speed（Y）/mm/s Gap/mm Coincidence Degree /mm 3A 2.82 -1000 -300 0.24 0.25 3B 2.82 -1000 -300 0.24 0.3 3C 2.82 -1000 -300 0.24 0.35 3D 2.82 -1000 -300 0.24 0.4 3E 2.82 -1000 -300 0.24 0.45 3F 2.82 -1000 -300 0.24 0.5 3G 2.82 -1000 -300 0.24 0.55 Through the above simulation conditions in Table 1, data concluded is shown in Fig 7.
Therefore, when other factors can be taken into account fully, reducing coincidence degree can improve the ratio of cutting layer and enhance the quality of shearing effectively [4][5]. 2) Influence of section levels from Clearance Table 3 is established form the above data.
In addation, gaping reduction could improve quality.

The advantage of this approach is a significant reduction in workload, save a lot of money.
From collect in-situ test data, we obtained on the two earthquakes earthquake liquefaction field survey data of total 358 cases, is shown in Table 2.
Since the two liquefaction data does not cover the liquefied layer thickness and thickness data, it also can not directly use these data depth examination of the applicability of norms liquefaction features.
Liquefied layer thickness statistics in history 24 earthquakes liquefaction site survey data [5], the results are shown in Table 3, obtain 110 seismic liquefaction data.
layer is less than 4.5m data accounted for 80.4%, intensity of Ⅶ degrees liquefaction layer thickness is less than 6m data accounted for 82.4%.