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In addition to the reduction in molecular weight, various chemical changes occur in the molecules, such as the formation of carbonyl groups, carboxyl groups and hydroperoxides terminals [11].
b) the processing of composites; c) Characterization of the composites; d) UV irradiation; e) Gamma irradiation; f) Data Analysis. 2 - Preparation of materials and processing of composites.
g) Method of Data Analysis: f) For analysis of experimental data was used statistical method (average) as follows: f.1 - Test tensile strength, impact strength, and hardness in five samples of recycled polypropylene.

The elastic modulus was obtained for all the specimens using the first 5 to 80 collected stress-strain data points, given that in the initial phase of the process the grips may not be properly adjusted to the sample resulting in a deviation of the initial measurements.
HDPE, PP and CPC materials density results Polymer matrix Material Cork (wt.%) Coupling agent (wt.%) Density(g/) PP 0 0 0.905(*) CPC1 15 2 0.66 ± 0.132 CPC2 30 2 0.53 ± 0.067 PP CPC3 15 5 0.65 ± 0.121 CPC4 30 5 0.59 ± 0.086 CPC5 15 8 0.65 ± 0.06 CPC6 30 8 0.61 ± 0.117 HDPE CPC7 0 15 0 2 0.905(*) 0.59 ± 0.112 CPC8 30 2 0.60 ± 0.096 HDPE CPC9 15 5 0.73 ± 0.230 CPC10 30 5 0.66 ± 0.130 CPC11 15 8 0.66 ± 0.146 CPC12 30 8 0.57 ± 0.171 (*)Density of HDPE and PP withdrawn from the polymer Data Sheet Injection processing Looking at the aesthetic characteristics of the injected composites a more homogeneous distribution of the cork in the CPC with polypropylene polymer matrix can be observed.
An increase of 5 wt.% of cork to the polymer matrix of the PP can cause a reduction of about 50% of the MFI, revealing the tensions that occurred during the extrusion process [2].
• CPC specimens, in general, showed an evident correlation between stress and strain data.
In the case of CPCs with polymeric matrix of PP, in general, with the increase of the cork concentration, a reduction of the tensile strength and a decrease of the deformation were verified.

for forging tests Material name EN AW / DIN Alloy Comment Material condition: 2017A / 3.1325 AlCu4MgSi (A) (former AlCuMg1) thermosetting T4 EN 573-3 5083 / 3.3547 AlMg4.5Mn0.7 self-hardening H112 EN 755-1,2,3 5754 / 3.3535 AlMg3 self-hardening H111 EN 573-1,2,3 6082 / 3.2315 AlSi1MgMn thermosetting T6 EN 573-3 7075 / 3.4365 AlZn5.5MgCu (former AlZnMgCu1.5) thermosetting T6 EN 573-3 T4-Solution heat treatment and natural ageing according to DIN EN 515/ DIN 29850 T6-Solution heat treatment and artificial ageing according to DIN EN 515/ DIN 29850 To characterise the mechanical properties of the test materials the following tests were carried out: • Tensile tests • Notched-bar impact test • Cylinder compression tests for flow curve determination • Ball indentation test (Hardness Brinell) test The material parameters of the tensile tests as well as the flow curves were implemented into the used FEA-programs to acquire representable material data
But, the tensile test samples of AlZn5.5MgCu showed nearly no reduction in area and therefore tend to extreme brittleness.
The characteristic values of the accomplished tensile tests are listed in Table 2. 0 100 200 300 400 500 600 700 0 5 10 15 20 25 30 35 εεεε [%] σσσσ[MPa] T = 20 °C Fig. 6: Stress-strain curves of test materials obtained by tensile tests Table 2: Characteristic test material parameters obtained by tensile tests Material name EN AW / DIN Yield stress Rp0,2 [Mpa] Tensile strength R m [Mpa] Breaking elongation A [%] Reduction of area Z [%] 7075 / 3.4365 607.6 657 10.1 2017A / 3.1325 375.2 504 14.7 6082 / 3.2315 315 348 15.3 44 5083 / 3.3547 182 333 24.8 44 5754 / 3.3535 99.2 237 31.1 58 EN AW-7075 EN AW-2017A EN AW-6082 EN AW-5083 EN AW-5754 Determination of flow curves by means of a cylinder compression test Flow curves are essential to characterise the plastic material behaviour and give the coherence between flow stress kf and true strain ϕ.
The material data were not available in the database of the FE-software, so that material characterisations were also performed to obtain flow curves and further material properties for the simulation.
In the following example, the flow curve data of the aluminium alloy AW-EN 5083 at ambient temperature were used to generate a .mat-file for the use in the model.

The data were collected with an average value of five specimens.
Finally, the photographs were analyzed by image Pro Plus image analysis software, and the data were analyzed statistically.
Thermogravimetric data of composites samples were obtained using a thermal analyzer (Pyris-6, PerkinElmer Inc.
These results lead to a significant reduction in material properties.

The qualitative phase analysis was performed by the usual method of comparative peak matching with the standard data available in the Joint Committee on Powder Diffraction Standards (JCPDS).
Fig. 1: XRD pattern of aluminium powder The crystal structure of alumina powder was determined by comparing the experimental data with the standard data available in the Joint Committee on Powder Diffraction Standards (JCPDS) for the different polymorphic phases of Al2O3.
This is due to reduction in compressibility and press ability of the powder [20].

Von Mises equivalent stress-strain values were calculated from the torque-twist data using the method based on the analysis by Fields and Backofen [9].
The HKL Channel 5 software was used to perform data acquisition and post-processing including the Kuwahara filter routine for orientation averaging.
The texture orientation distribution function (ODF) was calculated from the EBSD data adopting the monoclinic symmetry of torsion specimens [11].
The gradual decrease in dislocation density with annealing time results in a progressive reduction in the driving force for the grain boundary migration.

Gait Function The joint angles are defined as described in Fig. 9, and the range of the angle is based on the human motion data as in Table 2.
Based on the human walking pattern as depicted in Fig. 10, our paper supposes that the robot control data is generated by the gait function as a trigonometric function shown in Eq. 1.Fig. 9: Robot linkage model.
The gait functions which are assigned to all joints are described by Eq. 2 - Eq. 8.ϕ1 =    0; t = 0 or t ≥ 3.6 ±1.5; t = 0.3 & t = 3.3 ϕ1(t); 0.3 < t < 3.3 (2) ϕ2 =    0; t ≤ 0.3 or t ≥ 3.6 ϕ2(t + 0.6); 0.3 < t < 3.3 15; t = 3.3 (3) ϕ3 =    0; t ≤ 0.3 or t ≥ 3.6 ϕ3(t + 0.6); 0.3 < t < 3.3 30; t = 3.3 (4) ϕ4 =    0; t ≤ 0.3 or t ≥ 3.6 ϕ4(t + 0.6); 0.3 < t < 3.3 15; t = 3.3 (5) ϕ5 =    0; t = 0 or t ≥ 3.3 15; t = 0.3 ϕ2(t); 0.3 < t < 3.3 (6) ϕ6 =    0; t = 0 or t ≥ 3.3 30; t = 0.3 ϕ3(t); 0.3 < t < 3.3 (7) ϕ7 =    0; t = 0 or t ≥ 3.3 15; t = 0.3 ϕ4(t); 0.3 < t < 3.3 (8) In the toe mechanism, since the energy consumption reduction of the robot is considered, the passive joint is selected as a toe joint.
A gait control data is automatically generated by solving the optimization problem in which ISADE algorithm is applied to the objective function approximated by RSM.

Reduction of aw in curry pastes prevents growth of pathogens and toxin production.
Nevertheless, scientific data regarding hurdle technology of curry pastes is limited.
All determinations were performed in triplicate and data were expressed as mean with standard deviation.
Aflatoxin was detected in non-packed curry pastes at week 8 but at a value less than the Thai community product standard (data not shown) [15].

The XRD data is represented in Fig. 2 and the phases were identified using X’pert Highscore Plus software.
However, a reduction of strength in S3 compared to the other two samples occurred due to the presence of dispersed porosity in the casting.
The exact magnetic nature of Mg2Zn11 is not studied thoroughly till date, however, a data compilation of existing works states Mg2Zn11 to be non-ferromagnetic [38].
Data availability The datasets and computer codes are available upon request from the author.

The high agreement between these research results and experimental data also proves that molecular dynamics calculation method is effective.
The data show that the addition of Zr4+ was conducive to the diffusion of ions in the system, while the addition of B3+ was not conducive to the diffusion of ions in the system.
Journal of Chemical & Engineering Data. 55 (2010), 5214-5215. https://doi.org/10.1021/je100741b [2] Fellner P, Midtlyng S, Sterten A, et al.
Essential Readings in Light Metals, Aluminum Reduction Technology. 2 (2013), 73.