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Simultaneous thermogravimetric (TG) and differential thermogravimetric (DTG) analysis data were obtained on a TGA/SDTA851e thermoanalyzer at a heating rate of 5 °C/min under constant flow of 30ml/min of N2 atmosphere.
Eq.1 is the fundamental expression of analytical methods to calculate kinetic parameters on the basis of TG data.
The straight lines in the figures of ~1/T show linear fits to the data.
The experimental data α and T were substituted into the Coast-Redfern and Αchar equations, respectively.
If we can combine the results with the thermal analysis data from the multiple scanning rate method, it will be able to comprehensively and accurately reveal the complex nature of the solid-state reactions in the different stages.

The simulation program consists of three main parts: a module of data input and preliminary calculations, a simulation module, and a module of analysis of the results.
Computations were based on sets of input data, consisting of the information on all the parameters included in the model (which were defined during the identification process carried out at two test stands – shown in Fig. 2).
(1) The reduction is several dozen percent over the whole range of rotational speed investigated in each checked accuracy class.
Figure 9) showing the comparison of the RMS values of the transverse vibration velocity (of the gear wheel shaft – point D) measured experimentally at the FZG test stand and those obtained from the model and presented as a function of the rotational speed prove the alignment of the simulation and experimental data.
On this basis it can also be concluded that forces in the bearings obtained from the simulation correspond to the forces occurring in the real gear, and can therefore be used as input data for FEM models of the housing.

The reduction of both parameters, maximum value of magnetic entropy change and relative cooling power, was observed in La0.7Sr0.3MnO3/Ta2O5 composites with the increasing of Ta2O5 concentration [7].
The data was analyzed by the Rietveld method using the FULL-PROF program.
The as-obtained value of TC for the pure LSMO sample is 358 K, which is in well agreement with the literature data [4-8].
(a) Magnetic entropy change with respect to temperature at H = 1 T (inset shows the same data for H = 9 T) and (b) RCP evaluated for different fields for (1-x)LSMO/xGeO2 (x = 0, 0.15).
The maximum change of the magnetic entropy for pure LSMO gives values of ΔSM closed to the literature data from Ref. [5] and less than the literature data from Ref. [21] and [22].

Grain size of both α and β phases increased with a reduction of strain rate, and Y2O3 particle was also effective to retard grain growth under hot deformation.
This new alloy shows the strength of about 1000 MPa, while it possesses cold workability with a critical rolling reduction up to 60% prior to cracking.
Data of static grain growth and grain size of the deformed samples after hot tensile superplastic test are plotted inside of this figure.
Grain size obtained by the tensile test is coarser than grain size expected from extrapolation of data obtained by hot compression test despite of the higher strain rate in the tensile test.

For the corresponding concrete grades, the reduction to unambiguous strains values at the base diagrams points is justified: at the top and at the end of the falling branch of the curvilinear diagrams.
Curvilinear diagram that has ascending and descending branches of deformation meets most fully concrete physical properties and experimental data from standard concrete samples tests.
At present, the curvilinear diagram is effectively used in the structures calculations for the second limit state where the calculation accuracy in comparison with the experimental data is determined by the analytical description of the ascending diagram branch.
Summary Reduction to unambiguous strains values in the base points of the diagrams, taking into account the specified test modes for concrete samples allows establishing the ratio between their integral parameters.

The inventory analysis concerns data collection and calculation of results for the functional unit.
The issues of great concern for the inventory analysis are planning data quality and collection, and checking data for all the processes of the product life cycle.
In the impact assessment phase, the data collected in the inventory is transformed to make an interpretation possible.
The interpretation phase interprets the outcome of the former phases in relation to the goal of the study, identifying key assumptions and data through sensitivity analysis, and qualifying the conclusions that can be made on this basis.
From the data for each process, we can calculate the emission impact on the environment in various categories as shown in Fig. 3.

For grinding monitoring, a data stream is necessary, because different events may happen in a very short time.
The inputs of the NN are 256 neurons for the STFT data.
Looking at Figure 5(a) the first initial results for STFT is very encouraging albeit the data set is limited in size and the ploughing and cutting phenomenon has been combined.
Classification results of the NN with STFT AE signal data Considering the WT may provide better interpretation of the AE signals, a modified NN was developed for the tests.
Holford: Signal processing of acoustic emission data, Key Engineering Materials, Vol. 204-205 (2001), pp. 351-358

In this study, a plan of experiments based on the techniques of Taguchi was performed to acquire data in a controlled way.
The Taguchi approach to experimentation provides an orderly way to collect, analyze and interpret data to satisfy the objectives of the study.
The experimental data for coefficient of friction and specific wear rate is reported in the Table 2.
The data reported is the average of two replications.
The analyses of the experimental data are carried using the software MINITAB 16 specially used for design of experiment applications.

The numerical results predicted using CFD code is validated with the experimental data available from the literature.
Their numerical study on internal flow characteristics for a multi-hole fuel injector gives better agreement with the available experimental data.
Validation of the current simulation work is carried out with the experimental pressure data of Colin et al. [8] from the literature.
The computed in-cylinder pressure data from numerical simulation are in good agreement with the experimental data.
Grid and time independent tests are carried out and the results are validated with the literature experimental data.

Mathematical analysis of situations with the addition and reduction of the amount of solvents allowed to set the limit values of the amount of solvents in varnishes for "SB" materials with different densities and VOC = 300 g/l.
The influence of various factors influencing the VOC values, namely the density of the pigment part and the reduction of the content of volatile organic compounds (VOC) in organic oligomers for pigmented materials, is also considered. 2 Materials and Methods The following materials and intermediates were used as raw materials for obtaining enamel with a low VOC content: varnish – Long oil alkyd resins Crestakyd 10-0504, Crestakyd 10-1019 (produced by Scott Bader, Croatia), pigment – titanium dioxide (of (produced in China), desiccants – siccatives Co, Mg, Ba (produced by Venator, UK), solvent – white spirit (145-200) (produced by Matrapac®WS, Germany), filler – Calcium carbonate brand Andcarb CT-2x (of oproduction LKB Company, Türkiye).
Dependence of VOC values on the reduction of the amount of solvent xi for formulations № 1–5 of Table №5 for de=1170; 1180; 1200; 1220; 1230 [kg/m3].
Dependence of VOC values on the reduction of the amount of solvent xi for recipes № 6–10 of the Table №5 for de=1250; 1270; 1290; 1310; 1330 [kg/m3].
The data presented in Fig. 9 allow us to state the presence of enamels with VOCs from 200 to 300 g/l and from 300 to 400 g/l at an enamel density of 1270 to 1230 kg/m3 and from 1350 to 1150 kg/m3, respectively.