Search results

Microbial inactivation data were used to obtain, which after the identification of the critical parameters to reduce the content of spoilage microorganisms in orange juice.To provide a base of scientific knowledge and support the innovation.
Statistical analysis Statistical analysis was carried out using data analysis functions in Microsoft Excel and Significant differences between the results were calculated by analysis of variance (ANOVA).
Effect of the number of pulses on E. coli reduction As t the number of pulses from 4 to 32, the E. coli reduction went up a little at the same imput voltage (Fig. 3).
Effect of the total soluble solids on E. coli reduction Fig.5 indicates that at any total soluble solids, the E. coli reduction decrease a little with the the imput voltage of 4kV,the number of pulses of 64 and the juice thickness of 2mm.
At the total soluble solids of 40ºBrix, the E. coli reduction decrease by approximately 0.56log.

This is the foundation for any data analysis concerning position sensitive process data and any machine learning model utilizing data from multiple manufacturing facilities and work steps.
Data Acquisition Each manufacturing facility contains different sensors for process data acquisition.
This paper presents a similarity-based approach to join information from different data sources with production data.
A short-term benefit is the time reduction for several manual tasks.
Schreck, Visual Data Analysis of Production Quality Data for Aluminum Casting: HICSS (2021), 1530-1605 [2] P.

A Study on Reduction of Friction in Impact Compressive Test Based on The Split Hopkinson Pressure Bar Method by Using a Hollow Specimen Nobuhiko Kii1,a, Takeshi Iwamoto2,b, Alexis Rusinek3,c and Tomasz Jankowiak4,d 1Graduate School of Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashi-Hiroshima, Hiroshima, 739-8527 Japan 2Institute of Engineering , Hiroshima University, 1-4-1 Kagamiyama, Higashi-Hiroshima, Hiroshima, 739-8527 Japan 3National Engineering School of Metz, 1 route d’Ars Lquenexy, CS 65820 57078 Metz Cedex 3, France 4Institute of Structural Engineering, Poznan University of Technology, Piotrowo 5, 60-965 Poznan, Poland am124931@hiroshima-u.ac.jp, biwamoto@mec.hiroshima-u.ac.jp, crusinek@enim.fr, dtomasz.jankowiak@put.poznan.pl Keywords: Split Hopkinson pressure bar, Impact compression, Hollow specimen, Reduction of friction coefficient, Johnson-Cook model Abstract.
In addition, reduction of friction effect is attempted based on the experimental and computational studies using ring specimen made of steel and aluminum alloy [6].
Table 2 Material parameters identified from the experimental data until the plastic strain of 0.15 A [MPa] B [MPa] n C m 83.5 28.03 0.34 0.012 0.68 Table 3 Material parameters identified from the experimental data until the plastic strain of 0.3 A [MPa] B [MPa] n C m 83.5 13.85 0.0463 0.012 0.68 5.
That is, it can be considered that friction effect is decreased by a reduction of the contact area.

The value of GIIc was extracted by a new data reduction scheme avoiding the crack length measurement, named Compliance-Based Beam Method (CBBM).
In this work, the interlaminar GIIc of a CFRP laminate is obtained by a new data reduction scheme not requiring the crack length measurement (CBBM).
Moreover, it accounts for the FPZ effects, which does not occur when a real crack length is used in the data reduction scheme.
Ex=1.09E+05 MPa xy=0.342 Gxy=4315 MPa Ey=8819 MPa xz=0.342 Gxz=4315 MPa Ez=8819 MPa yz=0.380 Gyz=3200 MPa Data reduction schemes The classical data reduction schemes to obtain GIIc are usually based on compliance calibration or beam theory.
A new data reduction scheme based on the crack equivalent concept was employed to obtain the interlaminar fracture toughness of a carbon-epoxy laminate in pure mode II.

And the outputs are mechanical properties namely ultimate strength, yield strength, elongation, reduction of area, plane strain fracture toughness and microstructure concerned parameters such as β phase fraction, β phase grain size, substructure length and thickness.
The ANN is trained with experimental data and achieves a very good performance, which has already been applied to the optimization of processing for forging of aero-parts.
The inputs are working temperatures, deformation extent, deformation rate and heat treatment conditions, and the outputs are ultimate strength, yield strength, elongation, reduction of area, plane strain fracture toughness, βphase fraction, βphase grain size, substructure length and thickness.
So the experimental temperatures are 923℃, 938℃, 953℃, 960℃, 968℃, 973℃ chosen according to beta and near beta forging theory [10], the deformation extents are 15%,30%, 40%, 50%, the deformation rates are 1.4mm/s, 1.7mm/s and the corresponding heat treatment conditions (as shown in Table 1) are transformed to numerical data because BP network can only deal with numerical ones.
Through comparing the network outputs with the experimental data (Table 3), it can see that the BP network displays very high adaptability and precision, the predicted outputs with the testing samples have relatively low error and most of the generalized outputs with the validating samples are within the 15% error, only a few have high error values.

The data of each material in the roof has been defined based on the thermal conductivity.
The differences between SolidWorks simulation results and experimental data are less than 1%, and the SolidWorks simulation results are agreeable with the experimental data.
Fig. 10: Comparison between experiment and SolidWorks result without insulation for rooftop The comparison data with Glasswool insulation between the experiment and SolidWorks data is shown in Fig. 11.
Fig. 14 presents the result data for without insulation and with insulation applied.
With that, the comparison of the data can be more accurate.

Typical 4-nitrophenol (4-NP) reduction was adopted to probe the catalytic performances.
The Pt-CNTs present a high reaction rate constant of 0.624 min-1 in the catalytic reduction of 4-NP.
The reduction of 4-NP evaluated the catalytic activity to 4-aminophenol (4-AP) with NaBH4.
The XRD data were recorded on D/MAX-RC (Rigaku, Japan) with Cu Kα as the radiation source, l=0.1541nm, scanning rate of 2°/min from 2θ=10° to 90°.
At pH=10, the catalyst exhibits the superior ability for reduction from 4-NP to 4-AP.

From these data, we can conclude that gold is deposited as a uniform thin film.
Binding energies (eV) and elemental content (at. %) in the surface of Ti/TiO2,Au electrode from XPS data.
As to the data of Table 1, titanium concentration in this layer is low (~1 at. %).
Fig. 3a shows integral curve of the oxidation-reduction titration.
Electrode Titration type Oxidation-reduction Complexometric Acid-base Pt 4630 1120 - Glass electrode - - 1560 Ti/TiO2 no signal no signal 156 Ti/TiO2,Au 4400 570 1460 According to these data, the magnitudes of analytical signals for Ti/TiO2,Au electrode are comparable with ones of conventionally used glass electrode (in the acid-base titration) and Pt electrode (in the oxidation-reduction and complexometric titrations).

At present, the design and using of most branch-pipe pneumatic conveying system mainly depend on laboratory data and practical engineering experience.
A genetic algorithm is adopted on relevant data to simulate and forecast, it is found that this method can better predict the characteristics of solid phase flow distribution, and then it provides basis for more comprehensive analysis of pneumatic conveying pipe network[4] .
Weighing value, the differential pressure of the branch pipe and flow data are collected by computer.
Choosing the related experimental data of glass beads, it regards the experimental data as studying samples when two branch pipes’ valves opening are respective 0o and 0o, 0o and 45o, 30o and 30o to train the neural network.
Experimental data when the opening are 0o and30o, 45oand 45o are used as experimental samples.

So, it is possible also associate a lean thinking with sustainability approaches, seeking to reduce waste production and reduction of environmental impacts [8].
Case studies usually can mix methods of data collection, such as questionnaires, archives, interviews and observations.
Case Study Data collection occurred at an automotive company, that producing gears for transmissions and diesel engines.
The final results after the improvements were a reduction of 1,767,111.60 Kg/per input unit and of USD267,000.00 on the production Cost.
A reduction of natural resources in order of 1,767,111.60 kg/per input unit and, also, the production costs reduction of US$ 267,000.00 per year, highlight that the applied methodology was adequate and the main aim of this paper was fulfilled.