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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.

The S/N ratio in which smaller is better quality characteristic can be expressed as: (1) Where yi is the collected data through experiments and n represents number of experimental runs.
Box-Behnken design was applied to the experimental data using statistical software, Minitab [8].
A second-order polynomials were fitted to the experimental data to obtain the regression equations.
A step-wise regression method was used to fit the second-order polynomial equation to the experimental data and to identify the relevant model terms.
This is because when the welding current increases metal deposition rate increases as the welding globules falls on the weld pool at a faster rate and then with the farther increase of welding current the base metal starts melting therefore metal deposition happens in distorted manner resulting reduction in weld width.

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.

However, limited data are available on ASR behavior of geopolymer concrete made of fly ash produced from circulating fluidized bed combustion (CFBC) process.
First, the expansion versus age data for tested specimens were used to determine the rate constant and ultimate expansion (e.g.
Fig. 1-(a) plain-RA-1N data).
This is done by analyzing the expansion data at a constant temperature using Eq. (1): (1) Where, ε = relative humidity factor; ε0 = ultimate expansion; KT = rate constant at temperature T (1/day); t = actual reactive age at temperature T (day), and t0 = theoretical initial reaction time (day).
· Geopoymer mortar bars made with CFBC fly ash had greater reduction in ASR irrespective of aggregate reactivity and normality of test solution

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

The material constants in Eq. 1 – Eq. 10 are determined by fitting the computed true stress-strain data to experimental results.
First, a preliminary calibration of k0, K0, A0, B0, β0, nV, and φ is undertaken by fitting true stress- strain data for the initial phase (fM = 0%) at different strain rates.
Good agreement can be seen for all three groups of data.
The values of material constants in the equations have been calibrated from experimental data.
· Good agreement between experimental and predicted stress-strain data has been achieved.

The chemical composition of material Steel symbol Chemical composition, [%] C Mn Si Cr Ni Mo Al Cu P S DPS 0.09 1.90 0.06 0.10 0.09 0.03 0.012 0.15 0.019 0.011 In intercritical heat treatment technology, knowing that the critical points and are very important; their success depends on the accuracy of heat treatment data.
The signal from the dynamometer is picked up by three Wheatstone bridge, one for each force (Fx, Fy, Fz), from which the signal is then collected and placed in the interface that connects to a computer that processes the data.
The data in Table 4 show that increasing the heating temperature to intercritical quenching (for the same cooling conditions) led to increased strength of DPS steel and decreased its deformability.
The data in Table 5 show that the difference between the ultimate strength of welded joint and the ultimate strength of initial material varies between 21.90 % (at 740QO) and 45.10 % (at 820QW).
Taking into account these data it can be seen that dual-phase steel (DPS) have, in terms of cutting forces, one relatively good machinability, which is lower than that for normalized C45 steel.

Foster [44] produced silicon carbide polytypes by carbothermal reduction of silicon nitride in the presence of a liquid phase.
However, insufficient microstructural and kinetic data failed to establish any concrete conclusion.
The reaction can be written as follows: SiO2 + n SiC + 3C = (n+1) SiC + CO  (2) In this case, the role of carbon is to bond chemically the gaseous products of silica reduction.
The open circles are three point bending data for a material hot pressed with B additives, while the closed circles are four point bending measurements for the same material.
The open squares are three point bending data of the best boron containing material while the closed triangles are also three point bending data of the same material but containing coarse -SiC grains [90].

Additionally, as a reduction in the elements self weight of a structure leads to a significant reduction in the loads that it resists, the decrease in resistant capacities does not necessarily imply a reduction in structural efficiency [7].
They attributed it to the reduction in cement paste content and to the greater difficulty of water movement due to the increase in cavities generated by it.
On the other hand, Kozlowski et al. [35] reported a reduction in the compressive strength of the FC with the addition of 5 % fly ash.
Affecting these relationships by a reduction factor ηE, determined with 20, the elastic modulus of lightweight concrete is obtained, as shown in Eq. 21.
Ghani, "Experimental data on compressive and flexural strengths of coir fibre reinforced foamed concrete at elevated temperatures," Data in brief, vol. 25, pp. 1-11, 2019

SN ratio is useful for improvement of quality thru variability reduction and the improvement of measurement [5].
Figure 1 shows the main effects plot (data means) and interaction plot (data means) for the SN ratio for parameter A, B, C, D, E and F.
The parameters were analyzed by using ANOVA to determine the variance of the test data and evaluate the significant of the process parameters.
5.0942 5.1855 4.7959 5.0677 4.8657 13.9712 16 2 3 1 2 1 2 3 3 1 2 2 3 1 5.1077 5.0079 5.0231 4.8978 4.9833 13.9839 17 2 3 1 2 2 3 1 1 2 3 3 1 2 5.0769 5.1404 4.7593 5.3750 5.0698 14.1047 18 2 3 1 2 3 1 2 2 3 1 1 2 3 5.2672 5.2090 5.1298 5.2615 5.0741 14.2977 19 3 1 3 2 1 3 2 1 3 2 1 3 2 5.1308 5.0511 5.1832 5.0896 5.2214 14.2093 20 3 1 3 2 2 1 3 2 1 3 2 1 3 5.2254 5.2091 4.9821 4.5556 5.0654 13.9594 21 3 1 3 2 3 2 1 3 2 1 3 2 1 5.1770 4.7209 3.9054 5.2478 5.0756 13.5091 22 3 2 1 3 1 3 2 2 1 3 3 2 1 5.0154 5.0758 6.2593 4.9704 4.8113 14.2534 23 3 2 1 3 2 1 3 3 2 1 1 3 2 5.2222 4.9559 5.1148 5.1628 5.3514 14.2471 24 3 2 1 3 3 2 1 1 3 2 2 1 3 4.8069 5.0815 5.2519 4.6449 5.3077 13.9771 25 3 3 2 1 1 3 2 3 2 1 2 1 3 4.7222 5.0146 5.0296 5.1259 4.8286 13.8702 26 3 3 2 1 2 1 3 1 3 2 3 2 1 5.1575 5.0756 5.0948 5.2290 5.0164 14.1737 27 3 3 2 1 3 2 1 2 1 3 1 3 2 5.0541 4.5493 4.7174 5.2430 5.0780 13.8182 Table 2 L-27 orthogonal array with 13 three-level column Fig. 1 (a) Main effects plot (data
means) for S/N and (b) Interaction plot (data means) for S/N The Confidence Interval (C.