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Fatigue tests revealed a lifetime reduction of uneven microscopic rough surfaces, which was assigned to stress concentrations at the tip of asperities.
By means of surface morphology, negative release agent influences could be mitigated, but strong and/or random structuring caused a reduction of lifetime due to notch effects.
Adhes. 72 (2017) 30-42 [8] Hexcel Composites, Material Data Sheet HexPly 8552.
Epoxy matrix (2008) [9] Henkel Corporation, Material Data Sheet Hysol EA 9395.
Epoxy Paste Adhesive (2005) [10] Henkel Corporation, Material Data Sheet Hysol EA 9396.

Module 2 – Acquisition: For the data acquisition flexible automation system based components are used.
The necessary scripts in Matlab did not cause any errors and proved to be an efficient interface between the database and the data visualisation in Origin as it calculates the data in less than a minute and stores the measurement data memory efficiently.
Exporting the measurement data from the database server a backup file up to 1743 Mbyte was needed to store 969059 sets of data.
Finally, the data was imported to Origin which proves to be a suitable tool for the visualisation of the measurement data.
The gained data enables companies to identify energy saving potentials and to derive measures for reduction of their energy need.

The values obtained for ultimate tensile strength, yield strength and percentage of elongation for the welded joints are compared to the data obtained.
Also the percentage of elongation is higher in GTADSS when compared to GTAFSS joint, due to the presence of lesser percentage of chromium and nickel content led to the reduction in strength in GTAFSS, however, in GTADSS joint due to the presence of balanced percentage of chromium, nickel and molybdenum content led to the higher strength.
This indicates that there is a 40% reduction in the toughness value.
This indicates that there is a 32% higher in the toughness value compared to GTAFSS joints and 12% reduction when compared to base metal.

It makes the unified strength theory characterized by nonlinearity of empirical strength criterion, rock mass strength reduction, etc.
Brittle shear failure analysis indicates that rock material failure results from the interaction of two failure mechanisms, consequently, the rock material strength stays between crack initial strength and ideal shear strength,where the crack initial strength of brittle fracture can be calculated by acoustic emission experiment and the ideal shear strength can be fitted by experimental data.
Some parameters in formula (7) can be worked out by fitting of experimental data, making the dimension easily confused.
（2）Under certain conditions, brittle shear strength stays in high consistency with Hoek-Brown criterion on basis of relevant data and it manifests the rock nonlinear characteristics.

The weak point in this process is the link between the quantitative data and the treatment options, based on subjective interpretation of the data.
The unknown vector a is determined by Eq. 2: ( ) ,YUUUa T1T ⋅⋅⋅= − [ ]Tkaaaa K21= , k=1,2,…,K, (2) where:U - the matrix of input data, Y - the vector of output data, K - the coefficient size.
The subject's data were divided into the two sets: the learning set and the testing set.
Chau: A review of analytical techniques for gait data.
Chau T.: A review of analytical techniques for gait data.

It can be distinguished between direct data acquisitions (observation, questioning, interviews) and indirect data acquisition (using IT systems) where both quantitative and qualitative data arises.
Data acquisition approaches for VSM Value stream analysis.
Indirect data acquisition for VSM.
The resulting potential time reductions were subtracted by the cycle times of the current state.
By appropriate modeling and quantification in a group process all value stream relevant data as well as the occurring data types can be considered.

Based on the cluster approach, applying the perturbation procedure similar to that in Ref. [5, 9], the improved perturbation formulas of the g factors and the hyperfine structure parameters for the tetragonal 3d9 center can be established as follows: g||=gs+8kςdE1+kςd2E22+4kςd2E1E2-gsςd21E12-12E22+kςd34E1E22-1E23-2kςd32E12E2-1E1E22+gsςd31E1E22-12E23 g⊥=gs+2kςdE1-4kςd2E1E2+2gsςd2E12+kςd22E1E2-1E22+kςd32E1-1E212E22+1E1E2-gsςd312E2E12-12E1E22+12E23 (1) A||=P-κ-4N27+g||-gs+3g⊥-gs7 A⊥=P-κ-2N27+11g⊥-gs14 In the above formulas, gs ≈ 2.0023 is the g value of free-ion. k is the orbital reduction factor, which is equivalent to the covalency factor N, characteristic of the covalency between the central ion and the ligands.
Taking into account the covalency effect (characterized by the covalence reduction factor N), the spin–orbit coupling parameter ζ and dipolar hyperfine constant P can be given as [15, 16] Σ = Nς0, P = NP0 (2) so, the spin-orbit coupling coefficient ζ and the dipolar hyperfine structure parameter P can be acquired for the studied systems by using the free-ion data ζ0 (≈ 829 cm-1 [17]) and P0 (≈ 388 ×10-4 cm-1 [18]) for Cu2+ ion.
Therefore, only the relative tetragonal elongation ΔZCu is unknown in the formulas of the spin Hamiltonian parameters, which can be regarded as an adjustable parameter by matching the calculated spin Hamiltonian parameters to the experimental data.
Table 1 The calculated and experimental spin Hamiltonian parameters g factors and the hyperfine structure constants (in 10-4cm-1) for the doped Cu2+ centers in different alkali barium glasses Borate glass g|| g⊥ A|| A⊥ Li-Ba-B Calculation 2.283 2.054 -130.1 -24.5 Li-Ba-B Experimenta 2.284 2.053 131 25 Na-Ba-B Calculation 2.263 2.049 -137.1 -25.6 Na-Ba-B Experimenta 2.262 2.049 137 24 K-Ba-B Calculation 2.257 2.048 -139.1 -25.9 K-Ba-B Experimenta 2.259 2.048 140 24 a The experimental data for the Cu2+ center in alkali barium Borate glasses [7].
Discussion Table 1 reveals that the calculated spin Hamiltonian parameters under the relative tetragonal elongations ΔZCu in Eq. (5) agree well with the experimental data.

The stress and strain-life relations are obtained from basic fatigue data and the linear rule of damage summation is assumed.
The same load ratios used in the experiments were adopted in order to generate crack growth data from an initial crack size a0 = 8.0 mm to a final crack af = 15.0 mm.
By employing the linear Miner rule, the value given by Eq. 2 is obtained, where f(s,R) is a function of life reduction for the material
(2) Results and Discussion Figures 1 (a, b and c) show the experimental crack growth data of the alloys AA6005, AA6063 and AA6351 for different stress ratios (R = -0.5, R = 0.1 and R = 0.5) described by the relationship between crack growth rate, da/dN, and the applied stress intensity factor range, DK, plotted in the log-log form.
Model predictions versus experimental data for AA6005 alloy.

In multilayer constructions which include even contemporary timbre structures the occurrence of condensation is more dangerous and can result in degradation of the materials from a structural point of view, because of potential fungal attack of the wood. [5, 6] Further implications of the occurrence of water vapours in a multilayer construction could even be a significant reduction in effectiveness of the heat-insulating layer [7, Skramlik et al.]: "Moisture in building structures influences the physical properties of materials and can cause their degradation.
Temperature, moisture and pressure dataloggers Voltcraft DL181THP [40 to +70 °C, resolution 0.1 (%, °C, hPa), accuracy: ±1°C, ±3.5 %, ±2.5 hPa] were used for the measurements and data collection.
Exterior datalogger at the object B (source: author's archive) Obtained data.
Each experimental object provided two sets of data.
Partial results of the analysis Due to the large amount of measured data, only the most interesting results will be presented.

Using an analyzer will help separate undesired frequencies from the sound spectrum and contribute to an accurate interpretation of sound data.
The bandwidth of the analyzer governs the amount of useful data displayed for analysis.
This will make the engineer’s job of analyzing the data much easier and will enable him to give better results.
Finally, measurement and analysis of sound is a powerful diagnostic tool in noise reduction programmes – from airports, to factories, highways, homes, industrial areas and recording studios.
Measurements results Data calculating and average noise level.