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Online since: September 2011
Authors: V. Govindarajalu, V.S. Senthil Kumar
A decision support system (DSS) is implemented to determine the optimum inventory levels for the demand data and for the scrap.
The demand and the scrap for each time period are tabulated as per the pervious history data.
= The total number of data present in the record set or the total number of records that have been collected from the past.
The demand and the scrap data collected during the study period is tabulated in Table 1 and Table 2 respectively.
The demand data input is given to the GA module to find the optimal inventory stock as shown in Figure 3.
The demand and the scrap for each time period are tabulated as per the pervious history data.
= The total number of data present in the record set or the total number of records that have been collected from the past.
The demand and the scrap data collected during the study period is tabulated in Table 1 and Table 2 respectively.
The demand data input is given to the GA module to find the optimal inventory stock as shown in Figure 3.
Online since: September 2013
Authors: Guang Ya Hou, Hua Zhen Cao, Guo Qu Zheng, Yi Ping Tang, Qi Bin Wen
For enhancing catalytic activity and increasing surface area, mesoporous Ni-B amorphous alloy nanoparticles was manufactured by chemical reduction of NiCl2 and KBH4 via surfactant hexadecyltrimethyl ammonium bromide (CTAB) as an soft template.
For enhancing catalytic activity and increasing surface area, mesoporous Ni-B amorphous alloy nanoparticles was prepared in this study by chemical reduction of NiCl2 and KBH4 through self-assembly of an ionic surfactant hexadecyltrimethyl ammonium bromide(CTAB) as an important organic soft template.
The data in Table 1 and Table 2 have great difference.
Surface areas of the amorphous Ni–B alloys prepared by different amount of CTAB with ultrasonic oscillation SBET (m2/g) dpore (nm) Vpore (cm3/g) C-M 102.55 9.79 0.25 M-C 208.38 9.59 0.50 Amount of CTAB S BET (m2/g) d pore (nm) Vpore (cm3/g) 1g 8.04 16.89 0.034 2g 27.36 13.85 0.095 3g 50.71 14.14 0.179 Conclusions Mesoporous Ni-B amorphous alloy nanoparticles were manufactured by chemical reduction of NiCl2 and KBH4 via surfactant CTAB as a soft template.
For enhancing catalytic activity and increasing surface area, mesoporous Ni-B amorphous alloy nanoparticles was prepared in this study by chemical reduction of NiCl2 and KBH4 through self-assembly of an ionic surfactant hexadecyltrimethyl ammonium bromide(CTAB) as an important organic soft template.
The data in Table 1 and Table 2 have great difference.
Surface areas of the amorphous Ni–B alloys prepared by different amount of CTAB with ultrasonic oscillation SBET (m2/g) dpore (nm) Vpore (cm3/g) C-M 102.55 9.79 0.25 M-C 208.38 9.59 0.50 Amount of CTAB S BET (m2/g) d pore (nm) Vpore (cm3/g) 1g 8.04 16.89 0.034 2g 27.36 13.85 0.095 3g 50.71 14.14 0.179 Conclusions Mesoporous Ni-B amorphous alloy nanoparticles were manufactured by chemical reduction of NiCl2 and KBH4 via surfactant CTAB as a soft template.
Online since: May 2010
Authors: Thomas Holden, A.D. Stoica, X.L. Wang, K. An, H.D. Skorpenske, A.B. Jones, G.Q. Rennich, E.B. Iverson
Data Rate.
The data shown are recorded using one of the 90° detector bank, with three detector modules.
The data rate should double if data from both sides of the 90° detector banks are summed.
Background Reduction.
Future expansion of the detector coverage will further reduce the data collection time.
The data shown are recorded using one of the 90° detector bank, with three detector modules.
The data rate should double if data from both sides of the 90° detector banks are summed.
Background Reduction.
Future expansion of the detector coverage will further reduce the data collection time.
Online since: May 2011
Authors: Wolfgang Blum, Philip Eisenlohr
Figure 3 shows the evolution of the maximum deformation resistance of Cu after passes of ECAP (route BC) deduced from experimental data [15].
In some cases where no relative extremum occurred, for instance for , the data correspond to the absolute extrema.
While the model is not altogether satisfactory, because it rests on empirical data for the steady-state spacings, it contains a number of observed features of deformation and can be fitted to measured data without losing important microstructural aspects.
Arrows point at data for boundaries in bicrystals where concurrent bulk deformation was occurring.
At this point we note that the curves shown in Fig. 3 were not generated by fitting the measured data points.
In some cases where no relative extremum occurred, for instance for , the data correspond to the absolute extrema.
While the model is not altogether satisfactory, because it rests on empirical data for the steady-state spacings, it contains a number of observed features of deformation and can be fitted to measured data without losing important microstructural aspects.
Arrows point at data for boundaries in bicrystals where concurrent bulk deformation was occurring.
At this point we note that the curves shown in Fig. 3 were not generated by fitting the measured data points.
Online since: February 2025
Authors: Desrina Yusi Irawati, Ariel Julianus Pical, David Andrian
Data Collection
At this stage, data were collected through company observations, focusing on production activities and production times.
This time data was later used for value stream mapping.
To ensure the accuracy of the production time data, rigorous testing was performed, including data adequacy and uniformity tests.
The following table tabulates lead time and inventory calculations based on the data obtained.
Below is detailed rejection rate percentage data for misprints.
This time data was later used for value stream mapping.
To ensure the accuracy of the production time data, rigorous testing was performed, including data adequacy and uniformity tests.
The following table tabulates lead time and inventory calculations based on the data obtained.
Below is detailed rejection rate percentage data for misprints.
Online since: June 2016
Authors: Ika Dewi Wijayanti, Rakhmat Satrio Wibowo, Helena Carolina Kis Agustin
SEM data also should be considered to convince the phases that came out from the interaction between crown tube and high temperature combustion.
The mechanism of failure initiated by the differences of fluid temperature, color change on the crown surface, thickness reduction, and the force on the edge (fissure), until burning on its edge surface.
Reduction of thickness is the effect by the damage of oxide structures.
The continous deformation will take place easily on the crown tube with the damage oxide and thickness reduction on its edge.
The mechanism of failure initiated by the differences of fluid temperature, color change on the crown surface, thickness reduction, and the force on the edge (fissure), until burning on its edge surface.
Reduction of thickness is the effect by the damage of oxide structures.
The continous deformation will take place easily on the crown tube with the damage oxide and thickness reduction on its edge.
Online since: March 2020
Authors: Wen Sheng Cao, Christoph Bluth
However, the above literatures do not involve the reduction of CO2 concentration using low temperature liquefaction.
In engineering design, the same target is used steady-state and dynamically, and then the data of the target is shared without data transfer.
HYSYS provides a powerful set of physical properties computing packages, and its basic data is also from the world's renowned physical data system, which has been rigorously verified by the company.
These data include 20,000 interaction parameters and more than 4,500 pure material data.
For components not included in the HYSYS standard library, the underlying data can be automatically calculated by defining a spurious component and then selecting HYSYS's physical properties calculation package.
In engineering design, the same target is used steady-state and dynamically, and then the data of the target is shared without data transfer.
HYSYS provides a powerful set of physical properties computing packages, and its basic data is also from the world's renowned physical data system, which has been rigorously verified by the company.
These data include 20,000 interaction parameters and more than 4,500 pure material data.
For components not included in the HYSYS standard library, the underlying data can be automatically calculated by defining a spurious component and then selecting HYSYS's physical properties calculation package.
Online since: May 2014
Authors: Sarawut Thepanondh, Wisit Thongkum
These finding elucidated the effectiveness of changing of fuel quality to the reduction of airborne air toxic concentration in Bangkok environment.
Data collection The air monitoring data used in this study were from January 2008 to December 2012.
Data Analysis Daily average (24 hours average) of Benzene and 1, 3-butadiene data were used in this study.
Zero value was used to replace non-available data.
As for the cases that data values were less than mark (<), half of those values were used in the analysis. 3.
Data collection The air monitoring data used in this study were from January 2008 to December 2012.
Data Analysis Daily average (24 hours average) of Benzene and 1, 3-butadiene data were used in this study.
Zero value was used to replace non-available data.
As for the cases that data values were less than mark (<), half of those values were used in the analysis. 3.
Online since: January 2011
Authors: Sahari B. Barkawi, Omar Suliman Zaroog, Aidy Ali
The percent cold work was determined from the breadth at half-height of the (311) diffraction peak from the data obtained in the psi = 10 orientation of the residual stress measurement.
Fig. 2 Cold work reduction for the 15.5 kN and 30 kN load.
Fig. 3 Microhardness reduction for the 15.5 kN and 30 kN load.
The reduction in microhardness was due to the relaxation of residual stress.
The microhardness reduction rate was affected by the percentage of cold work of the material.
Fig. 2 Cold work reduction for the 15.5 kN and 30 kN load.
Fig. 3 Microhardness reduction for the 15.5 kN and 30 kN load.
The reduction in microhardness was due to the relaxation of residual stress.
The microhardness reduction rate was affected by the percentage of cold work of the material.
Online since: April 2012
Authors: Hugo Ricardo Zschommler Sandim, Reny Angela Renzetti, Anton Möslang, Angelo José de Oliveira Zimmermann, Angelo Fernando Padilha
After 80% reduction, they increased to 325 ± 9 and 425 ± 5.
After 1 h-annealing at 750oC, it varied from only 5% in ODS-Eurofer to 36% in Eurofer-97 for 80% reduction.
The softening curves for 45% and 80% reductions are typical of high stacking fault energy materials like this steel.
For 80% reduction, hardness drops in a much less pronounced manner compared to Eurofer-97.
Further TEM investigation is necessary to obtain more quantitative data.
After 1 h-annealing at 750oC, it varied from only 5% in ODS-Eurofer to 36% in Eurofer-97 for 80% reduction.
The softening curves for 45% and 80% reductions are typical of high stacking fault energy materials like this steel.
For 80% reduction, hardness drops in a much less pronounced manner compared to Eurofer-97.
Further TEM investigation is necessary to obtain more quantitative data.