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Introduction Semisolid state forming of Mg alloys ("thixoforming") is recognized as a technology offering several potential advantages over casting and forging, such as reduction of oxidization, reduction of macrosegregations, reduction of porosity and low forming efforts [1-3].
The data concerning initial remelting structure of semisolid Mg alloys is partially absent.
The data promoted in Table 1 proved that the low melting point phase is liable to diffuse to the liquid pools and boundaries and this diffusion caused the formation of liquid droplets and pools and even the cells structure, which will be explained in the next section.

Fig. 4 Effect of friction factors on reduction in thickness Fig. 5 Tube diameters from simulation and experiment Table 3 shows the data of simulation result in case of friction coefficient 0.3.
The reduction ratios of the cross section were different from those of the design in this data, but the simulation error of the diameter change was less than 2% as shown in Fig. 5.
Table 3 Simulation results of tube sinking Pass Entrance Exit Summary External diameter (mm) Internal diameter (mm) Thic-kness (mm) Cross section (mm²) External diameter (mm) Internal diameter (mm) Thic-kness (mm) Cross section (mm²) Drawing stress (MPa) Reduction ratio of cross section (%) 1 4.94 4.08 0.43 6.09 4.11 3.22 0.45 5.12 408.49 15.90 2 4.11 3.22 0.45 5.12 3.48 2.60 0.44 4.20 475.34 17.93 3 3.48 2.60 0.44 4.20 3.00 2.12 0.44 3.54 511.62 15.75 4 3.00 2.12 0.44 3.54 2.60 1.74 0.43 2.93 618.83 17.19 5 2.60 1.74 0.43 2.93 2.36 1.52 0.42 2.56 707.27 12.64 The defects of the tube sinking process were the snake skin on the external surface and the central burst on the internal surface.

With the measured data a nonlinear response-surface model was parameterized to describe the dependency of the mould filling on the investigated process parameters.
From the data the main effects and the interactions between two factors were calculated.
With this data a process window can be created.
This data was not used in the curve fitting.
The deviation of the mould filling predicted by the polynomial model is within ± 5% of the experimental data.

The mechanical parameters of the Hollomon hardening law are determined using the experimental data obtained on samples cut along the rolling direction.
One may notice that the GUI allows the user to introduce the experimental data in order to compute the parameters involved in the hardening law, yield criterion and FLC.
The experimental data has been processed using testXpert II software.
Principle of the hydraulic bulge test Fig. 4 shows the experimental equipment used to perform the bulge tests and to process the experimental data sets.
An accurate determination of the yield surface has been accomplished by supplementing the input data with the yield stresses associated to the plane strain conditions along the rolling and transverse directions, respectively.

The FEM model, validated against experimental data, showed minimal error with 1.16%.
These tests offer empirical data regarding the performance of the configuration under pressure.
This data will be used for validation in the next phase.
Pressure transducers and data acquisition systems were used to record the pressure data during the tests (Figure 1b).
Studies shown that different orientations can lead to varying levels of stress reduction and pressure resistance.

Especially, the synthesis of ultrafine magnetic nanoparticles with tailored properties is vital for a variety of applications such as ultra high density data storage [1], ferrofluids [2], magnetic resonance imaging [3], magnetic hyperthermia treatment [4], drug delivery [5], magnetic refrigeration [6] and other applications.
The analysis of XRD data, using PowderX software revealed a deviation of lattice parameter from 2.828 Å to 2.86023 Å within an error limit of 0.03223 Å.
The surface oxidation and surface spin disorder may be responsible for this reduction [33].
More specifically, the reduction rate favours the formation of nanobars.
[8] Gunter Reiss and Andreas Hutten, Magnetic Nanoparticles: Applications beyond data storage.

However, the dynamic daylight metrics (e.g. daylight autonomy, spatial daylight autonomy, useful daylight illuminance) can be more complex evaluation criteria because they are based on annual daylight illuminance data for a building site.
Whereas the static daylight performance metrics (e.g. the daylight factor and illuminance distributions) depend only on one sky condition, the dynamic daylight performance metrics (e.g. the daylight autonomy, spatial daylight autonomy, useful daylight illuminance and annual light exposure) are based on annual climate data for the given building site [1].
These dynamic daylight performance metrics take into account annual daylight data for variable sky conditions and specific building location, building orientation and also typical hours of occupancy (occupancy pattern) [10].
For the dynamic daylighting simulations, the annual daylight illuminance data were taken from the EnergyPlus weather database [21] and the time step of simulations was 60 minutes.
The differences in UDI100-2000 values between the south and north-facing office drop with the higher obstruction angle because the greater obstruction angle means a reduction of the sky light and the direct sunlight.

In this study, we used a sol-gel method, which makes use of a reduction reaction using sodium citrate as the reducing agent, and titanium butoxide, acetic acid and silver nitrate as starting material.
For the chemical reduction of silver ion, sodium citrate (C6H5Na3O7) were utilized.
The Fig. 3 shows the data obtained in this analysis.

And foreign scholars have conducted a lot of researches to analyze the impact of a carbon tax reduction on the economy [4-7].
Reduction of indirect tax rates causes the production department to reduce the product cost, and product price will fall further.
According to the consolidation of model-sector methods to merge corresponding data, and specific calculation results are shown below.
Imposing a carbon tax has a positive effect on the reduction of carbon dioxide emissions intensity.
And reduction effect is shown in figure 1.

Using the Euclid plugin (Version 0.9.4.4), which sends all model construction data to EnergyPlus, modeling was done in SketchUp.
Using the SketchUp software, the computational domain (Fig. 3) was completed by developing the thermal zones using the Euclid plugin and entering the input data into the EnergyPlus 9.6 program.
The boundary conditions and configurations in the simulation input data are the building attributes and climate file.
The behavior of the data in the bedroom is comparable to that of the living room, where the operating temperature is reduced by 1.5% at the maximum and 18.6% at the minimum with EAHE.
Using EAHE resulted in a 32.1% reduction in heating usage (Fig. 8a), or 1072.3 kWh.