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Formic acid intercalated Mg-Al layered double hydroxide (Mg-Al Fo-LDH) was prepared by calcination reduction intercalation assembly technology.
In this paper, formic acid intercalated Mg-Al layered double hydroxide (Mg2/Al Fo-LDH) ice melting agent was prepared by using the baking reduction intercalation assembly technology as raw material.
The data were collected in step-scan mode at a scanning rate of 0.02°/s.
Compared with Cl-DIA, Mg2/Al Fo-LDH has a stronger melting ability on the surface ice layer of the asphalt mixture and a better reduction effect on the surface ice layer adhesion.

Thermodynamic data for the system was from the TTTi3 database and the kinetic diffusion coefficients of hydrogen in α-Ti, β-Ti and TiHx were, respectively, calculated by (m2/s) [5] (1) (m2/s) [6] (2) () (m2/s) [7] (3) According to the Ti-H phase diagram, four typical temperature ranges (under 573K, 573-956K, 956-1155K, and above 1155K) were identified based on the phase transformation characteristics.
Fig. 4 Change of α-Ti volume fraction in the sheet with 0.003 wt% initial H Fig. 5 Variation of moving velocity of α/β boundary with average H content The addition of hydrogen to a series of α and α+β Ti alloys can greatly enhance their superplastic forming capabilities due to the reduction in the β-transus temperature and the presence of a two-phase microstructure at temperatures at which the hydrogen-free alloy is normally predominantly single phase [8-9].
Due to the low H diffusivity in TiHx and the high diffusivity in the β, the hydrogen-concentration gradient in the TiHx increased with the reduction of the TiHx thickness, resulting in the increase in the hydrogen diffusion and, therefore, the increase in the growth of the β phase (Fig. 7).
The thermodynamic and kinetic data reported by Li et al. [12] for the Ti-H system were used.
With the simulation of the hydrogen diffusion between titanium sheets and the analysis of the hydrogen diffusion in titanium particle packings, the diffusion data and the behavior of phase transformation in different phases, including the diffusion velocity, the phase growth rate and the diffusion end time, were discovered for the thermohydrogen process of titanium to improve its machinability.

It follows that the principle of forming a multilayer coating can be formulated only if we take into account data on coating damage resulting from cutting, as well as data on temperatures and stress in the tool’s cutting wedge. 2.
The upper layer of such a coating is to provide maximum reduction of equivalent stresses in the cutting wedge to increase its stability of shape and to ensure high residual compression stresses in the coating.
Thus, the highest compression stresses in coatings during cutting and at idle are to be expected of those coatings, which have higher endurance properties and higher residual compression stresses, while the most effective temperature reduction and the narrowest temperature range are provided by coatings with lower endurance and lower residual stresses.
Our study of fracture-resistance in various coatings during turning and end milling operations has supplied data which supports the above-formulated principles of forming multilayer coatings.

From the data obtained during unloading of the indentation, elastic displacements can be determined and from these measurements the elastic modulus, E, can be calculated.
Table 2 exhibits a relatively small scatter for indentations in the matrix (non-segregated regions), but the data for the segregated display much wider scatter.
Fitted stress–strain curves obtained from the raw data of the Gleeble tests are shown in Figure 3 (a) and (b) for samples from region 1 (a region near the slab surface representing dendritic structures), and region 2 (highly segregated areas from the quarter thickness region, representing inter-dendritic structures) respectively at testing temperatures 800, 900, 1000 and 1100°C.
Ductility was determined by measuring the reduction in area in the tensile tests.
The reduction in area of segregated and non-segregated regions is shown in Figure 4 (c).

Achieving NOx emission reduction target does not necessarily mean poor boiler performance.
The boiler operated in a wide range, and the measured NOx emissions and operational parameters provided a rich enough data set for developing empirical models.
The training and testing data for KPCA--SVR model were 279 cases, which were in advance indexed by the Arabic numeral, i.e., n=1,2,3,…,279.
The optimized parameters of three KPCA--SVR models were listed in table 2.Once the optimal parameters were determined, the KPCA--SVR models were trained using the training data, and then the well-trained models can be employed to predict the testing cases.
Chong, et.al., “A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine,” Neurocomputing, vol. 55, pp. 321-336, 2003

The x-ray diffraction patterns in Fig. 1 show that SrFe12-xInxO19 samples with x = 0,05; 0,1; 0,2; and 0,5 are well fitted along with a fitting curve on each diffraction trace, these are indicated by flat residue data within the scanned 2-theta diffraction angle.
Table 1 shows the result of the XRD refined data analysis.
Result of XRD Refined Data Analysis of SrFe12-xInxO19 with x = 0,05; 0,1; 0,2; and 0,5 X Lattice parameters SrFe12O19 (Å) V (Å3) r (g/cm3) Weight Fraction a b c SrFe12O19 Fe2O3 0.05 5.8830(3) 5.8830(3) 23.044(1) 690.7(1) 5.469 100 % 0 % 0.10 5.8852(3) 5.8852(3) 23.053(1) 691.5(1) 5.463 100 % 0 % 0.20 5.8886(3) 5.8886(3) 23.068(2) 692.7(1) 5.453 81.23 % 18.77 % 0.50 5.9020(4) 5.9020(4) 23.131(2) 697.8(1) 5.413 67.91 % 32.09 % Magnetic and Microwave Absorption Properties.
Whereas the reduction of coercivity must be due to reduction of magneto crystalline constant of magnetic phase as the Ti4+ ion octahedral sites which effective to reduce the anisotropy constant [11].

It can be seen that Mg (JCPDS Powder Diffraction Data Card N° 35- 0821) and Ni (JCPDS Powder Diffraction Data Card N° 04-0850) peaks are well defined in the sample after 2 h of MA (Fig. 1A).
Table 1: Crystllite size d (nm) and average strain (%) of the different phases as a function of milling time In the case of Mg, the peak broadening is associated with both crystallite reduction and strain introduced in the material during milling and with the formation of an amorphous precursor of Mg2Ni.
These changes involve peak broadening and intensity lowering, as it is demonstrated by crystallite size reduction and strain increment (see Table 1).
Nanocrystalline Mg2Ni (JCPDS Powder Diffraction Data Card N° 35-1225) is formed after 200 h MA (see Fig 1 C and Table 1).

The database collects information about the process and the resources [14, 15], while agents are able to receive and analyze the data and influence on the environment in such a way as the selection of appropriate materials or components.
Moreover the approach of multi-agent systems opens great opportunities associated with the implementation of these systems in the design process through direct exchange of data and information between the components of the proposed system [comp. 12,24].
Dzitkowski, Passive reduction of system vibrations to the desired amplitude value, Journal of Vibroengineering. 15/3 (2013) 1254-1264
Dzitkowski, Active synthesis of discrete systems as a tool for reduction vibration, Solid State Phenomena. 198 (2013) 427-432
Methods of manufacturing data acquisition for production management – a review.

The general redox reaction can be described as follows: Red → Ox + e- (reduction) Ox + e- → Red (oxidation) The respective anodic current (Ia) and cathodic current (Ic) for the respective oxidation reduction are described in Eq. 5 and Eq.6, respectively
A GPES software was used to perform the Tafel plot provided with the data of corrosion potential (Ecorr), corrosion current (icorr), anodic (ba) and cathodic (ca) slopes.
Thermodynamic data of carbon steel corrosion in soil solution (30oC – 90oC) in a day.
Tafel Plot data in terms of corrosion current (icorr), potential current (-Ecorr), anodic slope (ba) and cathodic slope (bc).

Introduction Downward trend in cost of renewable energy influences the interest of renewable energy system to be promptly implemented for global reduction of greenhouse gas emission in worldwide.
System Identification Approach System identification is one of the intelligent control approaches using statistical methods to build mathematical models of dynamical systems from measured or empirical data.
This system effectively generates informative data for fitting the best models to represent real system database.
Basic identification steps involved in the proposed system are; 1) Optimal experiment design and data collection, 2) Model structure selection, 3) Model estimation, and 4) Model validation.
Omar, “A Novel Combination of Direct and Indirect ( CoDId ) Method of MPPT for Power Losses Reduction,” Int.