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The data acquisition was made by the mean of Pulse software™ developed by Brüel & Kjær for Sound and Vibration Measurement.
Pressure coefficient distribution versus X/L, α=13, Experimental data, - - CFD.
The validation of the numerical results was undertaken by overlaying the evolution both numerical and experimental data; good agreement is noted between the two curves (refer to Fig. 4).
Only a compromise involving the lift increase and a drag reduction can help as for the choice of the optimal configuration to be retained.
The same observation is reported as for the profit related to the reduction of the drag; a maximum of -11.1% is recorded by the same experiment.

GIS enables the spatial analysis of emissions data.
The data include the historical data of GDP, population, energy consumption, green finance index, and carbon emissions from 2002-2019.Complete dataset only includes 18 years of carbon emission data and the four input variables.
To obtain more training data for the neural network, linear interpolation is applied to expand the yearly 18 data points to monthly 216 data points.
To improve generalization performance of ELM-ARIMA composite model, the 18-year four variable data is split into train and test data in a 5:1.
The training set has data from 2002 to 2016 (months 1–180) while the testing set has data from 2017 to 2019 (months 181–216).

The models assume statistical processing of the factual data array from real production facilities, which is produced using Data Mining tools, and special software is often developed [35, 36].
The initial MS Excel data tables had different header formats.
Statistical data processing followed by the construction of statistical mathematical models for 10Mn2VNb steel heavy plates, obtained in the 3600 HPM conditions, is performed automatically using MS Excel Data Mining tools.
The generated data array is processed iteratively.
The input data for the calculation is entered using the jQuery Universal Interface controls.

Other materials such as charcoal, electrode proposed use the data from Simapro software.
The inventory of industrial silicon production [11] instead of pure silicon was recommended because the data of pure silicon production is not available.
The emission factors of power plants were obtained from the data based on the situation of China [12].
The inventory data can be transferred to the corresponding environmental impact indicators based on CML method.
[8] Compilation committee of the first national pollution census data, Manual of pollution emission coefficient, Beijing: China Environmental Science Press, 2011

Reduction of torque pulsation is always an important topic in the design of PMSM.
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.

The composition of the crystalline component of selected cements was then determined using Rietveld refinement of X-ray diffraction data (Siemens, Germany).
The combination of calcium alginate beads even at a cement:bead ratio of six resulted in a reduction in compression strength from 48 ± 12 MPa with the addition of no beads to 12 ± 1 MPa (Fig. 1).
In the case of the non-macroporous brushite cement there was a steady reduction in the mass of the cement during the first fourteen days of immersion in PBS with the cement losing approximately 10wt% of its mass in this time.
When aged in refreshed PBS at a LCVR of 60, there was a steady reduction in the proportion of the cement formed from brushite, after a period of fourteen days of ageing HA was detected in the cement matrix (Table 1), which corresponded to the reduction in the rate at which mass was lost from the cement material (Fig. 2).
Although more soluble than HA cements, brushite is metastable and can hydrolyse to form HA which results in a reduction of pH at the implant site (Equation 1) and ultimately results in the long term stability of the material [7].

Cold rolling process of the three layers was made for three reductions rates: ε = 10%, 15% and 20%.
Distribution of relative flow rate of multilayer plates of asymmetrical rolling process for relative rolling reduction ε = 10% a) for asymmetry ratio of the rolls speed av= 1.0, b) for optimal asymmetry ratio of the rolls speed avopt= 1.07 a) b) Fig. 3.
Distribution of relative flow rate of multilayer plates of asymmetrical rolling process a) for relative rolling reduction ε = 15% and asymmetry ratio of the rolls speed avopt= 1.12, b) for relative rolling reduction ε = 20% and asymmetry ratio of the rolls speed avopt= 1.19 This phenomenon indicated the necessity of conducting laboratory tests aiming to evaluate the influence of this phenomenon on the quality of those layers merging after the rolling process.
The multilayer plates after rolling process for relative reduction ε = 10% On the basis of laboratory tests realized for established in the work range of tests and moderations of rolled samples there was observed no lack of continuity of merged layers at the place of merging Cu-Al and AlMg-Al.
Comparison of results of numerical investigations with results of experimental tests for optimum of asymmetry ratio of the rolls speed avopt On the basis of literature data [1-6] it can be acknowledged that the plates possessing curvature after rolling lower than 0.2 can be accepted as flat.

The actual production data shows LTP-DS process is able to improve the performance and quality of high strength steel from all aspects.
This has been already fully proved by actual production data.
Fig. 1 Leveler and Temper passing Process for finishing of hot rolled high strength steel Actual application data of LTP process.
This has also been proved by practical production data.
Practical production data shows: (1) LTP-DSV process has higher capability for controlling residual stress level and performance stability of products than the traditional hot temper passing process

This paper presents an experimental finding in the Split Hopkinson Pressure Bar (SHPB) technique to obtain a better compressive stress strain data for rubber materials.
In this paper, we modified the conventional SHPB technique to obtain more accurate dynamic compressive stress strain data for NBR rubber.
These fluctuations cause the invalid stress strain data of the SHPB experimental in rubber material.
It improves the validity of experimental stress-strain data extracted from the SHPB method by keeping the duration of loading period under a constant strain rate longer than without a pulse shaper.
The pulse shaper offers an optimum incident pulse that make the experimental stress-strain data valid under high strain rate using the SHPB technique in rubber specimen.

An experimental comparison is presented which shows a good correlation between the simulated and the measured data, furthermore, the possible reasons for the deviations are eventually discussed.
The current goal with this simulation model is to try to simulate the stator winding’s temperature as close as possible to measurement data while having the option for the future to calculate almost every component’s temperature accurately with minor changes to the model.
Fig.8: Comparison of simulation results to measurement data Another possible usage in the future would be to determine design errors in the early phase of development.
Fig.9: Velocity vectors colored by temperature Summary The original goal at the beginning was to get a good match in terms of temperature between the CFD simulation and the measurement data at the stator winding.
Aerodynamic noise numerical simulation and noise reduction study on automobile alternator.