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Sheets were cold rolled to 80% thickness reduction and annealed until primary recrystallization completion to produce the starting materials.
The harmonic method was applied to compute Orientation Distribution Functions (ODFs) from both global and individual orientation data.
Grain size based partial textures (b-c) were obtained from EBSD measurements by selecting only the orientation data of the largest or smallest grains, corresponding, in both cases, to a 15% surface fraction of the original EBSD map.
The global texture (5a, same as 4a) was calculated from the whole data set.
A detailed analysis of EBSD data has shown that the large grains growing abnormally are oriented close to that component, which is consistent with the fine peaks of high intensity recorded in the central area of the {00.2} X-ray diffraction pole figures. 4.

The thermal data have then been used as inputs to the hardness prediction model.
This model is calibrated using isothermal softening data for each alloy and postweld natural ageing is also accounted for.
Equations 1 to 3 imply that isothermal data from different temperatures can be represented on a single master curve by plotting log(1 - f/f0) vs log (t/t*)).
It is assumed that it is the peak temperature reached during welding that dominates the final natural ageing response, The hardness increment is therefore determined by interpolating the measured hardness data (Fig. 1b) after isothermal heat treatment to find the increment for the peak temperature.
The precipitates in 6013 are much more thermally stable, explaining the reduction in predicted extent of the HAZ.

As has been done in many studies [7], the following parameters were evaluated to assess the thermal characteristics of the fibers from the TG data.
Fig. 2A: TG-FTIR of PBIA Fig. 2B: TG-FTIR of PPTA Fig. 2C: TG-FTIR of PMIA The obtained data of PMIA fibre and PPTA fibre were found to be consistent with the mechanism previously proposed by Bhuiyan [11] and Broadbent [12] Fig. 3A: TG-FTIR of PBIA Fig. 3B: TG-FTIR of PPTA Fig. 3C: TG-FTIR of PMIA According to the structure and experiment data, the degradation behavior of PBIA fibre is similar to those of PPTA fibre and PMIA fibre.
This reduction is due to the fact that at extremely high temperature, catastrophic thermal degradation would easily cause the polymeric molecules to disintegrate into smaller segments.
According to the component analysis of TG-FTIR data at different temperature, When the temperature was above 200°C, hydrolysis occurred through the effect of released water.

Experimental data (- - -), reconstructed results from identified parameters (——): (a) force-displacement hysteretic curves and (b) force-velocity hysteretic curves The damper model parameters are identified off-line using the nonlinear least squares algorithm.
Upon the availability of a data set with specified current, displacement and frequency values; the hyperbolic tangent model is used to simulate the hysteretic responses.
Fig. 2 shows one set of experimental data and reconstructed hysteretic curves from the hyperbolic tangent model.
The skyhook damper control provides a reduction of resonance at the natural frequency as damping is increased without the trade-off of reduced performance of isolation at higher frequencies.
The optimized hyperbolic tangent model could describe the experimental data accurately.

In the research, they develop knowledge map creation and maintenance functions by utilizing information retrieval and data mining techniques.
The process of the knowledge map construction (1) The pre-processing of the documents Since documents are represented by the unstructured or semi-structured text, the unstructured text needs to be transformed to the structured data.
To transform unstructured document to structured data for eliciting key terms, the steps including these training documents will be processed by eliminating the stop words and stemming the word.
The eliminations of these stop words will also have an additional benefit which is the reduction of the size of dimensions.
Data & Knowledge Engineering, 68(11), 1271-1288

Method of investigation Initial data for modeling were: material – steel 34CrNiMo4 (according to DIN 17200 standard), temperature range of forging 1200…800°С, Young’s modulus 200000 MPa, Poisson’s ratio 0.3.
Received data are explained by the stress state in the axial zone.
Received results of the strain distribution during upsetting have shown their high convergence with the data of other researches [14].
Verification data reliability requires the experimental investigation of the axial defect resizing during upsetting of cylindrical samples by flat plates [16].
а b с 1 – theoretical data; 2 – experimental data Fig. 4 The change and a comparison of the axial defect diameter during upsetting of low (a), mean (b) and high (с) workpieces at experimental and theoretical investigation During upsetting of the high workpieces, the increase of the relative diameter occurs after upsetting by 60 % (Fig. 4, c).

It consists of a permanent magnet brushless machine, a reduction gear and a ball screw actuator.
According to statistical data, winding faults take a high proportion in all kinds of electric machines faults.
Using this proposed method, a 3.6kW 4-poles DRPMBLM is simulated by appropriate Matlab programe and the actual measured data operations are compared.
Fig.7(a) prototype DRPMBLM Fig.7 (b) dual redundancy controller 5.1 Uniformity experiment a) The uniformity experiment of system position signal The comparison some random extraction points at system work is shown in the below table. data of the extraction 28 sets between dual redundancy is analysized. maximum relative error of the output position feedback signal is less than 0.09mm. position feedback signal uniformity is obtained very improvement.
the rotor position signal The comparison some random extraction points at machine work is shown in the below table. data of the extraction 32 sets between dual redundancy is analysized. maximum relative error of the output position feedback signal is less than 5, That is the Angle error of not more than 0.5 degree. position feedback signal uniformity is obtained very improvement.

Data analyses Post-acquisition analyses were undertaken using MassLynx® v4.1 (Waters).
Data are representative of three independent experiments.
The 1H-NMR data of SEI and Compound 5 are shown in Table 2.
The spectral lines observed for hydrogen at positions 4 and 10 showed considerable displacement but, apart from these features, other data were very similar to those seen previously [20,23].
The data elicited by this study will provide useful information for further pharmacological and dose-based research on SEI.

Reliable statistical data on both the Human Development Index (HDI) and Energy Development Index (EDI) rankings indicate that most countries in Sub-Saharan Africa lie far below the world average and as a region, Sub-Saharan Africa scores least.
Data source: UNDP Human Development Report 2013, World Bank and International Renewable Energy Agency.
Sector Relevance of Energy Effects of Lack of Energy Access Poverty Reduction Access to energy for economic activities and powering agricultural machines, grinding and milling equipment enhances income generation and food production.
The cost reduction for these two leading renewable power technologies brings them closer to competitiveness with fossil-fuel power.
Diana, Poverty and Poverty Reduction in Sub-Saharan Africa: An Overview of Key Issues, Working paper 299, Overseas Development Institute, London (2009)

The optimization is possible by means of structural simplifications, including reduction of some of the automation even if it means reduction of efficiency of energy production.
The significant reduction in biogas methane content can lead to loss of power and inability to maintain a stable rotational speed, resulting in loss of synchronization with electrical grid.
The system enables remote control via internet connection with function of colleting operational data of all controlled parameters.
However this is the part of CHP design, where the reasonable reduction of automation can bring the larges impact on final CHP unit price.