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The turbidity is recorded too to determine SS concentrations by transferring them into TSS data in mg/l consistently.
Table 2 The data of velocity settling and mass of friction of remaining particles.
It is represented the data calculated for the settling velocity and the mass of fraction.
The data in the table 3 calculated based on the area related to V and x is known in figure 6.
Furthermore, we suggest collecting more several data for measurements.

The experimental setup allows for precise control of drying parameters, facilitating accurate data collection.
The study on drying kinetics pointed out that the Weibull model best fitted to drying kinetics data.
Data Measurement The performance of the dryer must be assessed using the following crucial metrics: Ambient temperature Ta: The average temperature will be measured with a Dallas temperature sensor to determine the overall temperature increase during the drying process.
Teklehaymanot, “Data on drying kinetics, moisture sorption isotherm, composition study of Ethiopian oyster mushroom (Pleurotus ostreatus mushroom) drying in tray dryer,” Data Br., p. 110861, 2024, doi: 10.1016/j.dib.2024.110861
Mei, “Rolling-horizon dispatch of advanced adiabatic compressed air energy storage based energy hub via data-driven stochastic dynamic programming,” Energy Convers.

The treatment measure including pollution source control and pollutant reduction was put forward for the sake of water quality improvement.
Based on monitoring data of water quality, the water quality of Erlongshan Reservoir is evaluated totally.
Monitoring data of major pollutants in Erlongshan Reservoir is shown in Table 2.
As the case of the monitoring data in the reservoir in August 2005, the TN Table. 1 The evaluation results of water quality in Erlongshan Reservoi Monitoring points Water quality categories Exceeded target parameters Jul.
Water quality monitoring data in Erlongshan Reservoir Parameters .Positions Time Jul.

For that it is necessary to use the mathematical tool for EXAFS data analysis [2, 3].
Left: scheme of model structure and concentration profile (model curve and solution data).
The concentration profile of Cr, obtained as solution of Eq. (1) from experimental angle-dependent fluorescence data, is represented in Fig. 3b.
Using this profile, a fluorescence signal has been calculated (Fig. 3a, solid curve) – it is in a good agreement with experimental data.
The method was validated by recovering depth profiles from simulated data.

Finally, the error data are imported to the machine tool’s control system.
The temperature transmitter we choose has 8 data input ports.
The transmitter can output the temperature values with ASCII data.
The idea mentioned above can be summarized as following steps: 1) Measuring the temperatures. 2) Data communicating between the PLC and the temperature transmitter. 3) Data processing and format converting. 4) Calculating compensation values. 5) Outputting the compensation values.
Bonse, Reduction and compensation of thermal error in machine tools, Annals of CIRP. 44 (1995) 589–598

Our data indicated that multi-antibacterial polyamide fibers have excellent antibacterial effect, good far-infrared emission and the negative oxygen ions emission features, while have little affect on polyamide fibers’ structure properties.
Fig.3 Energy spectrum of the particulate in the 2% addition polyamide fiber Tab.1 X-ray diffraction data of polyamide fibers X-ray Diffraction Analysis.
We can see from the data that adding multi-bacterial master batch makes little change to polyamide fibers’ melting temperature, just a little wave.
However, with the increase of addition multi-bacterial master batch, the melting enthalpy Delta H declines first, but when the addition ratio is 2%, the data increases significantly.
Samples Tm/℃ Area/mJ Delta H /(J/g) No addition polyamide fiber 222.03 306.115 64.8550 1% polyamide fiber 221.68 306.929 64.6167 1.5% polyamide fiber 222.74 363.366 63.7484 2% polyamide fiber 222.14 375.133 68.3302 Tab.2 DSC data of polyamide fibers Fig.5 DSC curses of polyamide fibers Infrared Spectroscopy Analysis.

The results of analysis agree well with the experimental data, and the motion of the displacement adjusting mechanism is analyzed accurately.
The paper focuses on the coupled analysis methods for variable displacement vane pump, and compared the results with experimental data.
Fig. 5 shows an oil pump performance test platform, the rotation speed and outlet pressure can be adjusted independently during the test, and the experimental data including the flow rate, torque and oil temperature are recorded.
From the data in the table 1, simulation and experiment results agree well at low speed with relatively low outlet pressure.
The simulation results are consistent with the experimental data and reasonably reflect the vibration of the adjusting mechanism.

The advantages of this process include [12, 13]: no friction between the container and the billet reduces force requirements, which ultimately allows for faster speeds, higher reduction ratios, and lower billet temperatures; usually the ductility of the material increases when high pressures are applied; an even flow of material can be expected; large billets and large cross-sections can be extruded; no billet residue is left on the container walls.
Swiostek et.al.[5], UTS of the alloys AZ31, AZ61 and ZK30 is significantly increased by 10–25% compared to data of these alloys achieved by conventional extrusion processes.
This behaviour can be attributed to the reduction of twinning being a dominant orientation dependent deformation mechanism in Mg alloys.
For extremely small grains twinning seems to become less important which results in the received reduction of the anisotropy.
But, hydrostatic extrusion allows for faster speeds, higher reduction ratios, and lower billet temperatures by comparison with conventional extrusion.

With respect to the effect of the diffusion coefficient factor, thermally stable alloys may contain high concentrations of slowly diffusing metals without a risk of the undesired rapid particles coarsening and related reduction of the material strength.
The billets were then hot extruded at 673 K with a cross-section reduction of l=19.
Similar features of RS materials, i.e. reduction of both the matrix grain size and FeNiAl9 particles in RS Al-Fe-Ni-Mg alloys, in comparison to coarse grained industrial materials, was reported in our previous papers [1, 16].
According to literature data formation of complex structure, composed of Al6Fe and Al13Fe4 intermetallic phases, was reported for similar alloys processed by other non-equilibrium techniques [19].
The hardness reduction with increased deformation temperature was ascribed to intense recovery processes operated at high temperatures.

The first circuit is for reduction of influence of non-uniformity of deformation capacity of the process system elements due to control of cutter path.
During the processing the data on axial position of the cutter is transmitted from the displacement sensor DS to the control signal former CSF2, where in accordance with the given mathematical apparatus the release value of the process system elements in this position of the tool is determined and control signal sп is formed which is then transmitted to the transverse feed drive TFD2.
The second circuit is for reduction of influence of accidental perturbation actions (fluctuations of machining allowance value and hardness of the processed rough part) on accuracy and quality of turn process due to force stabilization of the cutting process.
Possibility of comparison of the factors by the level of significance of their influence on the response function is provided by performance of set of Gauss-Markov conditions [9] – reduction of the factors to the uniform scale and generation of the model in non-dimensional coordinate space.
Moreover, a significant levelling of the surface microhardness is expected due to stabilization of the cutting depth, as well as reduction in fluctuations of residual stress value due to force stabilization of the cutting process.