Sort by:
Publication Type:
Open access:
Publication Date:
Periodicals:
Search results
Online since: June 2020
Authors: Chang Sheng Yue, Chang Bo Liu
All experimental data were measured three times, and the average value of three times was used to calculated basis in Eq. 1-Eq. 3.
The carbon contents in gaseous products with catalysts both decreased with a small reduction.
Fig.5 Carbon distribution of pyrolysis products with or without catalysts 2.3 The characteristics of pyrolysis products 2.3.1 Solid product Compared with the proximate and ultimate analysis of coal in Table 1, the data of solid products in Table 2 shown that the moisture and volatiles decreased, and the ash and fixed carbon increased after microwave hydrogenated pyrolysis.
The numbers “1-3” in Fig.7 denote different surface regions of solid products, and the data in Table 3 were element content of region 1.
The carbon contents in gaseous products with catalysts both decreased with a small reduction.
Fig.5 Carbon distribution of pyrolysis products with or without catalysts 2.3 The characteristics of pyrolysis products 2.3.1 Solid product Compared with the proximate and ultimate analysis of coal in Table 1, the data of solid products in Table 2 shown that the moisture and volatiles decreased, and the ash and fixed carbon increased after microwave hydrogenated pyrolysis.
The numbers “1-3” in Fig.7 denote different surface regions of solid products, and the data in Table 3 were element content of region 1.
Online since: January 2024
Authors: Tushar D. Deshpande, Mahendra L. Bari, Ujwal D. Patil, Ketankumar G. Chitte, Jitendra S. Narkhede, Ravindra G. Puri
Zhu et al explained the reduction of efflorescence by use of VAE copolymer dispersible powder in Portland cement-based decorative mortar[19].
Still there is limited data available on the performance of redispersible polymers compositional analysis and its effect on adhesive properties of cementitious material.
The outcomes were based on data gathered over a 28-day period, RDP-C and RDP-D have the greatest performance of all polymers because of their chemical structure, which is essential for boosting adhesion strength.
Both data indicate an exothermic peak around 400 °C, which denotes RDP oxidation[49].
Still there is limited data available on the performance of redispersible polymers compositional analysis and its effect on adhesive properties of cementitious material.
The outcomes were based on data gathered over a 28-day period, RDP-C and RDP-D have the greatest performance of all polymers because of their chemical structure, which is essential for boosting adhesion strength.
Both data indicate an exothermic peak around 400 °C, which denotes RDP oxidation[49].
Online since: April 2019
Authors: Cyril Santos, Catarina Baptista, Gabriela Martins, Filipe Antunes, Artur Mateus
Besides allowing the reduction of petroleum derived materials, the natural fibres are renewable and biodegradable materials that present low density, low cost and mechanical properties favourable to several applications.
Some technical data (d=density, HDT=heat deflection temperature, Tm=melting temperature, MFR=melt flow rate (in standard tests with 2.16 Kg at 190 ºC), sy=tensile stress at yield) from the producers are presented in Table 1.
Table 1 – Synthetic polymers used in this study: some thermal and mechanical properties from the respective Product Data Sheets.
Its data sheet was not available.
Some technical data (d=density, HDT=heat deflection temperature, Tm=melting temperature, MFR=melt flow rate (in standard tests with 2.16 Kg at 190 ºC), sy=tensile stress at yield) from the producers are presented in Table 1.
Table 1 – Synthetic polymers used in this study: some thermal and mechanical properties from the respective Product Data Sheets.
Its data sheet was not available.
Online since: September 2008
Authors: Stefan Kern, Petros Koumoutsakos, Philippe Chatelain
Through momentum balances, we extract the stresses along the body
centerline and establish the relationship between torque and curvature signals, a potentially crucial
datum for the generation and the control of this motion in robotics.
The amplitudes of the acoustic pressure of the quiet swimming is reduced by one order of magnitude compared to the efficient swimming, which is attributed to a strong reduction of the thickness noise.
The amplitudes of the acoustic pressure of the quiet swimming is reduced by one order of magnitude compared to the efficient swimming, which is attributed to a strong reduction of the thickness noise.
Online since: August 2012
Authors: Paola Bassani
As a consequence of the importance of texture for final applications, besides sheets and films, researchers tried to investigate texture in wires and tubes, these latter being the starting semifinished product for the making of cardiovascular stents for reduction of stenosis of blood vessels [57,82].
In particular: still limited spatial resolution, especially for application to NiTi alloys and still time consuming data acquisition, limiting in situ analyses.
Electron backscatter diffraction: Strategies for reliable data acquisition and processing.
ARPGE: a computer program to automatically reconstruct the parent grains from electron backscatter diffraction data.
In particular: still limited spatial resolution, especially for application to NiTi alloys and still time consuming data acquisition, limiting in situ analyses.
Electron backscatter diffraction: Strategies for reliable data acquisition and processing.
ARPGE: a computer program to automatically reconstruct the parent grains from electron backscatter diffraction data.
Online since: June 2020
Authors: Terence G. Langdon
Plotting the results as flow stress versus strain rate, it was shown that the data delineated three separate regions of flow with a high strain rate sensitivity and large tensile elongations at intermediate strain rates in region II and significant decreases in the elongations and lower values of the strain rate sensitivity at low strain rates in region I and at high strain rates in region III.
Fig. 2 Schematic illustration of the variation of elongation to failure with strain rate showing the effect of a reduction in grain size [14].
Each datum point in Fig. 5 represents a different sample that was held at the annealing temperature for one hour and then measurements were taken to determine the grain size.
Fig. 2 Schematic illustration of the variation of elongation to failure with strain rate showing the effect of a reduction in grain size [14].
Each datum point in Fig. 5 represents a different sample that was held at the annealing temperature for one hour and then measurements were taken to determine the grain size.
Online since: October 2006
Authors: Claudio Manfredotti, Erhard Kohn
Although data in the literature scatter, it can be seen
that all different treatments result in a window larger than 3 V (usually displayed in the linear
scale).
Data on the pH sensitivity are therefore diverse [17, 18].
Integrated Nanoelectrodes Microelectrode arrays show already an increase of the sensitivity due to a reduction in active area [39].
In addition, the 3D-approach is especially suited for the parallel signal processing of complex data.
Data on the pH sensitivity are therefore diverse [17, 18].
Integrated Nanoelectrodes Microelectrode arrays show already an increase of the sensitivity due to a reduction in active area [39].
In addition, the 3D-approach is especially suited for the parallel signal processing of complex data.
Online since: May 2012
Authors: Chen Kun Kuang, Tai Ping Zhang
However, vetiver grass grew in our pots was lower than 1 meter height (data not shown), this may be due to the experimental conditions, which posed a stress on the growth of vetiver grass.
Table 4 Effects of S/S treatments on the plant growth parameters Treatments Biomass(fresh weigh) Root length /cm Survival rate /% Total biomass (g/pot) Root biomass (g/pot) S-1 114.2 e 45.5 d 25.7 f 100.00 S-2 81.7 cd 33.6 c 21.5 e 100.00 S-3 78.3 c 24.8 b 16.6 bc 100.00 S-4 94.0 d 35.1 c 19.2 d 83.33 S-5 50.1 ab 16.7 a 13.5 a 66.67 S-6 92.9 d 36.2 c 16.3 bc 83.33 S-7 42.6 a 14.9 a 15.0 ab 66.67 S-8 87.3 cd 35.0 c 17.4 c 66.67 S-9 59.7 b 20.1 ab 14.2 a 100.00 Data showed in the table was the means of reduplicates, and means in the same column followed by the same letter do not differ significantly (P<0.05, Duncan’s multiple-range test).
Superoxide anion, which is produced in the chloroplasts by the univalent reduction of molecular oxygen during photosynthetic electron transport, would leads to the generation of highly reactive hydroxyl radicals [36].
The data of physiological effect of plant are shown in Table 6.
Table 4 Effects of S/S treatments on the plant growth parameters Treatments Biomass(fresh weigh) Root length /cm Survival rate /% Total biomass (g/pot) Root biomass (g/pot) S-1 114.2 e 45.5 d 25.7 f 100.00 S-2 81.7 cd 33.6 c 21.5 e 100.00 S-3 78.3 c 24.8 b 16.6 bc 100.00 S-4 94.0 d 35.1 c 19.2 d 83.33 S-5 50.1 ab 16.7 a 13.5 a 66.67 S-6 92.9 d 36.2 c 16.3 bc 83.33 S-7 42.6 a 14.9 a 15.0 ab 66.67 S-8 87.3 cd 35.0 c 17.4 c 66.67 S-9 59.7 b 20.1 ab 14.2 a 100.00 Data showed in the table was the means of reduplicates, and means in the same column followed by the same letter do not differ significantly (P<0.05, Duncan’s multiple-range test).
Superoxide anion, which is produced in the chloroplasts by the univalent reduction of molecular oxygen during photosynthetic electron transport, would leads to the generation of highly reactive hydroxyl radicals [36].
The data of physiological effect of plant are shown in Table 6.
Online since: September 2017
Authors: Abdulwahab Giwa, Mufliah Gbemisola Omofoyewa, Lekan Taofeek Popoola
Numerous advantages attached to drying process include product availability during any season [7], reduction of waste product [8], ease storage of the dried product, saving energy by not requiring refrigeration and stability of aromatic compounds at room temperature for long period of time thereby protecting against oxidative and enzymatic degradation [9].
(5) 2.4 Statistical Data Analysis and Optimization The data obtained from the experiments carried out were analysed, and a model equation relating the residual moisture content of the seeds to the drying factors considered was developed and modified by utilizing the Analysis tool of the Design Expert Version 7.0.0.
Carbohydrate contents of Moringa oleifera seed samples after drying Run Temperature (oC) Contact time (min) Speed of fan (m/sec) Carbohydrate (%) 1 50 65 0.5 65.56 2 37.5 100 0.5 65.51 3 37.5 65 1.5 67.61 4 25 65 0.5 53.43 5 37.5 65 1.5 62.98 6 25 30 1.5 60.25 7 37.5 30 0.5 67.27 8 50 30 1.5 54.12 9 50 100 1.5 71.53 10 25 100 1.5 72.23 11 37.5 100 2.5 70.79 12 50 65 2.5 68.56 13 37.5 65 1.5 75.49 3.2 Statistical Data Analysis and Optimization Results The results obtained from the analyses of the moringa seed samples given in Table 3, which was the one showing the variation of the residual moisture content of the seeds with drying parameters, were statistically analysed and the results obtained from the analysis of variance (ANOVA) carried out on the full cubic model with manual selection developed using the experimental design values and the response (moisture content) are given in Table 10.
(5) 2.4 Statistical Data Analysis and Optimization The data obtained from the experiments carried out were analysed, and a model equation relating the residual moisture content of the seeds to the drying factors considered was developed and modified by utilizing the Analysis tool of the Design Expert Version 7.0.0.
Carbohydrate contents of Moringa oleifera seed samples after drying Run Temperature (oC) Contact time (min) Speed of fan (m/sec) Carbohydrate (%) 1 50 65 0.5 65.56 2 37.5 100 0.5 65.51 3 37.5 65 1.5 67.61 4 25 65 0.5 53.43 5 37.5 65 1.5 62.98 6 25 30 1.5 60.25 7 37.5 30 0.5 67.27 8 50 30 1.5 54.12 9 50 100 1.5 71.53 10 25 100 1.5 72.23 11 37.5 100 2.5 70.79 12 50 65 2.5 68.56 13 37.5 65 1.5 75.49 3.2 Statistical Data Analysis and Optimization Results The results obtained from the analyses of the moringa seed samples given in Table 3, which was the one showing the variation of the residual moisture content of the seeds with drying parameters, were statistically analysed and the results obtained from the analysis of variance (ANOVA) carried out on the full cubic model with manual selection developed using the experimental design values and the response (moisture content) are given in Table 10.
Online since: February 2024
Authors: Balaji Bakthavatchalam, Raghvendran Pala Raviramachandran, Middela Mohith Venkatesh, Nagoor Basha Shaik, Omar A. Hussein, Namdev Ashok Patil
Thermocouples connected to a data logger for data collection were used to gauge the temperatures on the hot and
cold sides of the TEM [17], [18].
Because of the heat reduction done by the nanofluid the module can produce for amount of cooling and work much efficiently.
Yu et al., “Numerical prediction of heat transfer performance of plate heat exchanger based on experimental data assimilation to calibrate turbulence model constants,” Thermal Science and Engineering Progress, vol. 34, Sep. 2022, doi: 10.1016/j.tsep.2022.101433
Because of the heat reduction done by the nanofluid the module can produce for amount of cooling and work much efficiently.
Yu et al., “Numerical prediction of heat transfer performance of plate heat exchanger based on experimental data assimilation to calibrate turbulence model constants,” Thermal Science and Engineering Progress, vol. 34, Sep. 2022, doi: 10.1016/j.tsep.2022.101433