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The paper explains the good properties of composite materials shown in the table tennis bat in detail through a data analysis.
The honeycomb composite material structure slab of utility model used for the bottom plate of table tennis has the characteristics of weight reduction, elasticity increase, vibration elimination, control increase, high strength, mild stiffness, and being weather proof, durable and environmental.

The digital design of mechanical products is usually first reference existing parts, drawings, and experience to make original design data and design requirements, according to the design of digital model is set up, after an analysis of the finite element model according to the analysis results contrast design goal to design or structure parameter changes, to the expected design purpose.
Generally considered when metal products as cathode, mainly by means of heavy precipitation hydrogen reduction and mechanical exfoliation of oxide synthesis results; Anode, mainly by means of the chemical and electrochemical dissolution of the metal, and metal materials precipitate oxygen bubbles mechanical exfoliation of oxide synthesis results.

Wind power contributes greatly to the reduction of greenhouse gases, with 0.5 GtCO reduction (9.2%) of CO2 emissions in 2020 and 3.0 GtCO reduction (7.8%) in 2050 [5].
A worldwide wind atlas based on data from about 8000 locations [6] where wind speeds were calculated at 80 m illustrates the potential of global offshore wind resources.
Ballast-stabilization enables cost reduction by using cheap and heavy materials.

Hygrothermal effect causes a reduction of in-plane properties of laminates, where the ratio of the moisture absorption in composite laminates is accelerated by the presence of cracks and voids in the laminate.
At room temperature, a reduction in modulus was observed in all of the materials tested, because the plasticization effects of hygrothermal exposure cover the effects of any aging-induced post cure while the material is wet.
Many of the studies reported no change or a small improvement in the tensile properties because of stitching; while some other studies report reductions in the properties of varying magnitude [1].
The explanation of this reduction in tensile strength is due to the crimping of fibre bundles due to stitching, which is obvious near the stitching nodes.
Numerical data was compared with experimental results to validate the accuracy of FEM model.

Similarly, tube forming, especially, tube hydroforming (THF) has been widely spreading in automotive and aerospace industries to reach the goal of weight reduction and energy saving because of its advantages in comparison to conventional forming processes.
As a result, simple evaluation of lubrication and friction monitoring were attained by considering blank thickness reduction due to lifting-up and stretch deformation in its theoretical model [4] These methods have still low identification accuracy of materials properties and friction coefficient, and also are not applicable to anisotropic materials.
In the model, three unknown material properties, n, F, and r values are considered as output signals of ANN, and five input signals of punch load P, punch stroke S, BHF, flange thickness strain e t, and flange end reduction ratio DDR* are adopted and measured in-process [5].
Furthermore, it was confirmed that the material flow of the blank is different from that in the conventional process and thereby the thickness reduction was suppressed to avoid the fracture by means of the complex variable BHF/SPD control, considering more attention to detailed deformation behavior of blank during process [18].
By evaluating "wrinkling" risk and "fitting" state from two sensing data, real-time fuzzy control T forming experiment was executed [26].

In this study, the hypothesis about the mechanism of occurrence of stiffness, the contents of experimental verification of the effectiveness of stiffening reduction agents were investigated.
Also, the area surrounded by the hysteresis loop (area value in the figure) was reduced by about 29% by the addition of the anti-stiffening agent, resulting in a reduction in the apparent thixotropy of the concrete.
The formulation using crushed sand resulted in a smaller amount of mini-slump reduction than the formulation using mountain sand.
When linear regression was performed on data with the same measurement time shown in the legend, the tendency for the maximum shear stress to increase significantly with time was confirmed, and the stiffening of the mortar increased as the keeping time in static state increased.
This suggests that the stiffening reduction effect of concrete with the anti-stiffening agent is effective in improving the deformability during pumping work.

The results comprise data for the dynamic behaviour of a simple rotor system without a sleeve-ring component, as well as for a rotor system with a composite sleeve-ring component, with and without activated SMA strips.
In the case of configuration 1 (Fig. 2), when the full sleeve-ring component is considered, the resonant frequency shift and the amplitude reduction are the smallest of all the configurations.
An approximate shift of 1.3 Hz or 82 rpm in the first resonant frequency is achieved, whilst the reduction in the disc vibration amplitude reaches 36%, which is a 10% increase in comparison with the previous configurations.
This corresponds to an amplitude reduction of approximately 46%.
The frequency shift observed here is reduced from 1.8 Hz to 1.2 Hz (from 106 rpm to 70 rpm), while at the same time the reduction in the vibration amplitudes decreases from nearly 46% to only 28%. 1 2 3 1 2 3 a) 1 2 3 1 2 3 b) 20 21 22 23 24 25 26 27 28 29 30 Frequency [Hz] 0.0 1.0 2.0 3.0 4.0 5.0 6.0 Amplitude [mm] 1.2 1.35 1.5 1.65 1.8 Frequency [rpm x 103] amplitude ur (SMA not activated) amplitude ur (SMA activated) A1 A3 A2 f1 f2 c) Fig. 4.

Therefore, the unit cell reduction occurred mostly from the position of three Zn2+ as illustrated with the red arrows in Fig.4d(ii) and it would heavily affect the b-lattice than a- and c-lattices.
Cd, Zn, C, and N are coloured yellow, green, black, and blue, respectively The decreasing of unit cell dimension correlates with the reduction of unit cell volume.
The scale of reduction is relatively similar after increment addition of Zn2+ to CdIF-1 as seen in Fig. 4b.
Periodic DFT studies shows that increasing the number of Zn2+ correlates with the reduction of lattice parameters which are eventually affecting the unit cell volume.
Data, 64 (2019), 5985-5998

However, it can also be used during building operation phase by providing relevant data to building automation systems.
We refer to monitoring and metering data generated by computational simulation (virtual) models as data from virtual sensors.
Thus, capability to automatically update simulation model's boundary conditions in real-time using monitored data is required.
As mentioned before, we refer to monitoring and metering data generated by computational simulation (virtual) models as data from virtual sensors.
The measured illuminance data was then compared with simulated illuminance data.

At the same time, by using the social research to quantitative analysis the data, it has drawn the economic recession and recovery.
In the early 90 s, both countries have experienced an economic crisis. [1] Data Statistics and Analysis (1) (2) (3) Variance: (4) Standard deviation: (5) Weighted standard deviation: (6) We get the central tendency statistics [2] using Formula1.1, 1.2, 1.3, to divided standard deviation Formula1.4, 1.5, 1.6 and get the following results: In 1992-1993, Finland’s economy is in crisis.
Research Framework of Welfare Triangle and Social Exclusion The Convergence of Sweden and Finland’s Welfare Paradigm Finland's economy has recovered after 1994 with 5% growth in its GDP and 2% reduction in unemployment.
The Employment Rate and the Percentage between Part-Time Employment and Full-Time Employment in Swedish and Finland from 1996 to 2001 Swedish Finland 1996 2001 1996 2001 The percentage of the employed population aged 16-64 71.6 75.3 62.9 68.8 Male 73.2 77.0 65.3 71.1 Female 69.9 73.5 60.5 66.4 The percentage between part-time employment and full-time employment 24.0 21.8 11.2 11.9 Male 8.0 9.1 7.4 7.4 Female 41.5 35.7 15.3 16.7 Data resources: (a) OECD 2002 and 2000; Statistics Finland.