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The transformation kinetics data were correlated using an Avrami-type equation.
Regarding heating cycle design, Jaason et al. [2] studied the influence of furnace temperature, heating time, layer thickness and part geometry on the quality of heat treated seatbelt tongues fabricated with C60E steel because the optimal furnace settings for austenitizing result in a reduction in the global processing cost.
The data may be conveniently presented in a continuous heating transformation (CHT) diagram which is akin to the well-known CCT diagrams.
From dilatometric test data the critical temperatures were determined and CHT diagrams were constructed.
The data acquisition frequency was adjusted such that the temperature was registered in intervals no larger than 1 °C; thus a datum was collected every 1.5, 3, 6 and 30 s for heating rates of 40, 20, 10 and 2 °C/min.

The results showed that: in the 6 different plant of SF and SSF constructed wetlands for TN removal efficiency decreased as the concentration increased, different plant, different levels of treatment rate reduction, and removal value of SSF was lower than SF.
Using A potassium sulfate eliminate alkaline-ultraviolet spectrophotometry to test TN. 3）pilot program: an experiment with 9 days when the experiment 3 days, the concentration of 3 days, the data for 3 days.
Also, from Fig.2 and Fig.3 shows the six plants SF and SSF constructed wetland forTN removal efficiency decreased as the concentration increased, different plant different data removal rate.
Whether the SF or SSF constructed wetlands, Reed wetland sewage removal reduces the maximum, and minimum was Canna. reed SF constructed wetland removal down from 75.56% to 54.7%, dropped 20.86%, SSF constructed wetland removal efficiency dropped from 76.67%to 58.47%, dropped 18.2%, the average down 19.53%; Canna sf constructed wetland to removal rate dropped from 67.91%to 50.86%,decreased 17.07%; the ssf removal rate dropped from 69.93%to 53.99%, decreased 15.94% on average 16.51% reduction.

The homogeneity, morphology and crystallinity of the blends were ascertained from the AFM and XRD data, respectively.
The X-ray data was smoothened over 100 adjacent points using the adjacent averaging smoothing function in Origin Pro 7.5 and plots were then area-normalized.
Table 1: TGA data MCC, NF and zein / NF nanocomposites zein + 5%NF zein + 3%NF zein + 1%NF neat zein NF MCC Sample 255 254.5 251.5 251 315 300 Ton ºC 331.1 328 325.7 325 365.5 330 Td ºC Figure 4 illustrates XRD diffractogram for pure CMC, NF and a series of zein/NF nanocomposite films.
From XRD data, the intensity of the peaks was higher for the NF samples.
Reduction of lengths and diameters of MCC by treatment was clearly detected from SEM images.

The purpose of this paper is to investigate the surface enrichment and microstructure of indium relative to the available data for Pb.
Potentiodynamic polarisation data for AlIn alloys in the as rolled condition, heat treated at 300o C, and heat treated at 300 oC and polished for a) 20 and b) 1000 ppm In. 3.2 Surface analysis Fig. 3 shows optical micrographs of AlIn samples after annealing at 300ºC.
Most effective enrichment and activation occurred as a result of heat treatment at 300ºC, limited to 1 h in this work, as deduced by GD-OES data.
Reduction of activation by removal of a surface layer by metallographic polishing indicated that activation results from the enrichment or segregation of In at the surface, similar to the earlier observations for Pb.
Aluminium can also be activated by the addition of In to the chloride solution [4], contrary to the data for Pb [2].

.%) additions on the hot tearing behaviour of Mg1.5Zn alloys were investigated using a constrained rod casting (CRC) apparatus equipped with a load cell and data acquisition system.
%Zn alloy was investigated using an constrained rod casting (CRC) apparatus attached with a load cell and data acquisition system.
The system consists of a constrained rod casting (CRC) mould, a contraction force measurement system with a load cell, a data logging unit and a data recording program.
On the hot tearing curves of Mg-1.5Zn-0.2Y and Mg-1.5Zn-4Y alloys, a slight reduction in the load is observed at the beginning of pouring.

Statistical analysis of the data was provided by the manufacturer.
Table 1 Correlation between the data under 0.05 significant level.
So the defect rat of the statistical data can be used to reflect the purity level of the molten aluminum and also can be used as the data basis of the numerical simulation.
The effect picture of c can be obtained through these statistical data.
The result is same in the change trend between simulation and experimental data.

In addition, the features extracted from multi-channel observations usually have high dimension data characteristics.
The data length sampled per rotating period is 64, and the system samples 8 periods continuously with the same sample rate.
So the length of a group of sampling data is 512.
Thus, 150 groups of data are used to train FHMM.
The feature vectors are extracted by the FFT of the training data.

Methylene Blue dye is a heterocyclic aromatic chemical compound which has been widely used for photodegradation studies since it is an oxidation-reduction indicator.
From the transmission data it is possible to obtain the decrease in the solution concentration as a function of UV irradiation time.
From the experimental data in Fig. 7, it is observed that the coated NP-G sample shows the highest photoactivity; this sample, presents the highest photodegradation rate constant (~ ).
The analysis of the transmittance data also allows us to obtain the photocatalytic efficiency (h %) according with the following equation: (5) where T is the solution transmittance at t = 240 min and the subscript 0 is related to time zero (t = 0).
Wettability (self-cleaning) properties Surface wettability was evaluated via contact angle measurements in a dynamic mode using Young La Place method (Contact Angle System S.A data physics) with 5µl/s of distilled water droplets.

SET 1 SET 2 SET 3 Units Initial Optimal Initial Optimal Initial Optimal Fcost 0.1519 0.0167 0.1840 0.0192 0.5231 0.0163 μm2 Fcost reduction - -89.0% - -89.6% - -96.9% - Avg.
First ANN trials to predict wear were not very conclusive, mostly due to the lack of learning data.
The ANN uses (i) 2 hidden layers of neurons defined by a total of 20 neurons, using selu and sigmoid activation functions, and (ii) recurrent architecture to account for the cumulative wear calculated from previous strips as input data.
Nevertheless, this work is a first shot at ANN wear models and additional data could greatly improve their performances, by reducing the overfitting for instance.
On the other side, ANN have important potential for bigger training database and additional data which, assorted with bigger ANN structure, could lead to much better roll wear predictions.

According to data from the Central Agency for Technology Assessment of Indonesia, the demand for fuel oil is projected to increase by 2.8% per year from 2019 to 2050.
According to data from the Central Statistics Agency [8], in 2021, avocado production in West Java reached 121,326 tons, with an annual increase from 2018 to 2022.
After the drying process, a size reduction process was carried out with a passing size of 120 mesh.
Size reduction serves to expand the contact area during the reactive extraction process.
Lethulur, Waste cooking oil conversion to biodeisel catalized by egg shell of purebred chiken with ethanol as a solvent, Eksakta: J. of Sci. and Data Analysis, 14(1) (2014) 52-64