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Online since: May 2012
Authors: Liang Peng, Yong`an Ao, Yu Wen Li, Qian Zhang, Dan Che
Accordingly, the solar energy to be used in constructions conforms to the present goals and tasks of our country in “energy saving and emission reduction” and has been got wide attention [2].
It was used in this study as follows: First made a questionnaire table including various factors that need to determine their weight coefficients, as shown in Table.1; then delivered 30 tables to 30 relevant experts, asked them to fill in the questionnaires in percentage of each factor to the whole factors according to their own experience independently; and then summed up the weights for each evaluation factor from the returned questionnaire data; and then calculated the average evaluation weight value for each evaluation factor and defined as weight coefficient (or weight vector) whose formula is shown in equation (3),
Results and Analysis According to the proposed simplified evaluation system, phase-transition temperature, phase-transition latent heat, coefficient of thermal conductivity, density, phase-transition temperature slippage range, material prices and safety, we made an initial evaluation, the data is shown in table 2.
In Chinese [2] Energy Saving Emission Reduction Plan (The State Council of the People's Republic of China, 2007).
It was used in this study as follows: First made a questionnaire table including various factors that need to determine their weight coefficients, as shown in Table.1; then delivered 30 tables to 30 relevant experts, asked them to fill in the questionnaires in percentage of each factor to the whole factors according to their own experience independently; and then summed up the weights for each evaluation factor from the returned questionnaire data; and then calculated the average evaluation weight value for each evaluation factor and defined as weight coefficient (or weight vector) whose formula is shown in equation (3),
Results and Analysis According to the proposed simplified evaluation system, phase-transition temperature, phase-transition latent heat, coefficient of thermal conductivity, density, phase-transition temperature slippage range, material prices and safety, we made an initial evaluation, the data is shown in table 2.
In Chinese [2] Energy Saving Emission Reduction Plan (The State Council of the People's Republic of China, 2007).
Online since: September 2013
Authors: Jun Guo He, Jian Liu, Jian Hao Zhou, Min Zhou, Qi Chao Hu
Fair and Gemmell [1] confirmed the importance of breakage process in the modeling of flocculation dynamics in the early computer simulation; Boadway and Lu [5, 6] found that both particle coagulation and flocs breakage needed to be taken into consideration in mathematical modeling to match the test data; Pandya and Spielman [7] made a detailed study of breakage phenomenon with the use of fluid visualization technology, and further revealed the mechanism of flocs breakage in sheared fluid and defined a detailed model to describe the breakage dynamics; Costas [8] simulated particle aggregation and breakage.
Whether based on numerical simulation or experimental observation, within the range of the shear strength examined in this study, reduction of shear strength produced more large flocs.
The size of the peak concentration did not increase rapidly with the gradual reduction of shear strength.
Spielman, Floc breakage in agitated suspensions: theory and data processing strategy, J.
Whether based on numerical simulation or experimental observation, within the range of the shear strength examined in this study, reduction of shear strength produced more large flocs.
The size of the peak concentration did not increase rapidly with the gradual reduction of shear strength.
Spielman, Floc breakage in agitated suspensions: theory and data processing strategy, J.
Online since: January 2013
Authors: Agus Haryono, Sri Budi Harmami, Dewi Sondari
This is because of their unique magnetic and electric properties as well as numerous applications in the fields of data storage, ferrofluids, nano-adsorbents, Magnetic Resonance Imaging, biomedicine, biosensor, bio-separation, etc. [2-11].
The particle size of 2 nm, which data was compared to Transmission Electron Microscopy Image (TEM), the aggregation state of the particles can be determined.
Cr(VI) reduction by Pseudomonas aeruginosa immobilized in a polyvinyl alcohol/sodium alginate matrix containing multi-walled carbon nanotubes.
Tang; Degradation of lead contaminated lignocellulosic waste by Phanerochaete chysosporium at th reduction of lead toxicity.
The particle size of 2 nm, which data was compared to Transmission Electron Microscopy Image (TEM), the aggregation state of the particles can be determined.
Cr(VI) reduction by Pseudomonas aeruginosa immobilized in a polyvinyl alcohol/sodium alginate matrix containing multi-walled carbon nanotubes.
Tang; Degradation of lead contaminated lignocellulosic waste by Phanerochaete chysosporium at th reduction of lead toxicity.
Online since: February 2008
Authors: Jie Zhou, Jurek Duczczyk, Gang Liu, K. Huang
Table 1 Dimensions and initial temperatures of the workpiece and extrusion tooling
Billet length [mm] 812 Reduction ratio 19.6
Billet diameter [mm] 202 Billet temperature [°C] 450
Container insider diameter [mm] 203 Tooling temperature [°C] 400
Container outside diameter [mm] 360
(a) (b)
Fig. 1 (a) Cross section of the rectangular hollow profile with the shaded area selected for FE
simulation and (b) porthole die used to produce the profile.
The flow stress-strain data of the AA7020 alloy determined from hot compression tests at temperatures from 250 to 575 °C and strain rates from 0.01 to 100 s -1 and then corrected for deformational heating [4] were used as the input data of the workpiece material.
At this stage, the reduction ratio is quite low, only 2.25.
The flow stress-strain data of the AA7020 alloy determined from hot compression tests at temperatures from 250 to 575 °C and strain rates from 0.01 to 100 s -1 and then corrected for deformational heating [4] were used as the input data of the workpiece material.
At this stage, the reduction ratio is quite low, only 2.25.
Online since: June 2008
Authors: Janez Grum, Michael R. Hill, Uros Trdan
The same trend of roughness reduction was
noticed with specimen ´s3´ where, Ra
3=0.74 µm and Rz
3= 4.73 µm were obtained.
(b) Specimen ´s0 ´, 1. scan, after cutting -15 -10 -5 0 5 0 1000 2000 3000 4000 5000 6000 7000 8000 X axis (µm) Y axis (µm) Specimen ´s4´, 1. scan, after LSP -20 -10 0 10 20 0 1000 2000 3000 4000 5000 6000 7000 8000 X axis (µm) Y axis (µm) (a) pQ Psw ⋅≅ 02.1 (1) The optimum pressure Psw in LSP is determined by the Hugoniot Elastic Limit (HEL), which is calculated from dynamic yield strenght σy dyn and Poisson number ν, using the equation [7]: MPa MPa HEL dyn y 6.630 )66.01( 320)33.01( )21( )1( = − ⋅− = − ⋅− = ν σν (2) From the data above it can be inferred that the Hugoniot elastic limit with shock stresses is much higher than the yield strenght of the precipitation-hardened aluminium alloy (σy dyn =320 MPa).
On the basis of the data on strains with individual drilling increments the principal residual stresses were calculated
The excessive pulse power density resulted in a reduction of the maximum value of the compressive residual stress in the material although they were increasing with depth. 4.
(b) Specimen ´s0 ´, 1. scan, after cutting -15 -10 -5 0 5 0 1000 2000 3000 4000 5000 6000 7000 8000 X axis (µm) Y axis (µm) Specimen ´s4´, 1. scan, after LSP -20 -10 0 10 20 0 1000 2000 3000 4000 5000 6000 7000 8000 X axis (µm) Y axis (µm) (a) pQ Psw ⋅≅ 02.1 (1) The optimum pressure Psw in LSP is determined by the Hugoniot Elastic Limit (HEL), which is calculated from dynamic yield strenght σy dyn and Poisson number ν, using the equation [7]: MPa MPa HEL dyn y 6.630 )66.01( 320)33.01( )21( )1( = − ⋅− = − ⋅− = ν σν (2) From the data above it can be inferred that the Hugoniot elastic limit with shock stresses is much higher than the yield strenght of the precipitation-hardened aluminium alloy (σy dyn =320 MPa).
On the basis of the data on strains with individual drilling increments the principal residual stresses were calculated
The excessive pulse power density resulted in a reduction of the maximum value of the compressive residual stress in the material although they were increasing with depth. 4.
Online since: June 2018
Authors: Attila Diószegi, Juan Carlos Hernando
Two type-S thermocouples are placed at the middle section of the specimen, providing thermal data of the solidification process and allowing the estimation of the thermal coherency temperature [18].
The modulus of primary austenite, Mγ, describes the reduction of surface area to volume ratio of the austenite phase.
This suggests that not only the distance between the centre of gravity of austenite particles is increasing (Dγ) as a direct result of the reduction of surface area to volume ratio, but also the space between the austenite particles (DIPhyd).
In the b), c) and d) figures, the circles represent the values from the current investigation, related to CGI material, while the triangles represent the literature data for a similar investigation performed in LGI [14].
The modulus of primary austenite, Mγ, describes the reduction of surface area to volume ratio of the austenite phase.
This suggests that not only the distance between the centre of gravity of austenite particles is increasing (Dγ) as a direct result of the reduction of surface area to volume ratio, but also the space between the austenite particles (DIPhyd).
In the b), c) and d) figures, the circles represent the values from the current investigation, related to CGI material, while the triangles represent the literature data for a similar investigation performed in LGI [14].
Online since: September 2014
Authors: Hai Cao, Xin Le Zhang, Xiao Hui Guo, Jin Ji Feng
Data concerning the muzzle velocity and target damage was recorded.
Discussion SFRPMC targets experienced a penetration depth reduction of 61.5% and 59.6% compared with PMC and SFRC .Compared with PMC and SFRC, crater depth of SFRPMC targets were reduced by up to 41.9% and 23.0%, average crater diameter to 21.4% and 4.6%.
Conclusion The test program carried out in this research was successful in providing a substantial amount of high-quality static and impact test data.
The greatest advantage for SFRPMC is its reduction of crater and its easy fabrication using existing equipment.
Discussion SFRPMC targets experienced a penetration depth reduction of 61.5% and 59.6% compared with PMC and SFRC .Compared with PMC and SFRC, crater depth of SFRPMC targets were reduced by up to 41.9% and 23.0%, average crater diameter to 21.4% and 4.6%.
Conclusion The test program carried out in this research was successful in providing a substantial amount of high-quality static and impact test data.
The greatest advantage for SFRPMC is its reduction of crater and its easy fabrication using existing equipment.
Online since: May 2012
Authors: Shu Shun Liu, Sing Wei Liou, Wen Zheng Sun, Wei Tong Chen
Introduction
Since 2000, Taiwan has continued to improve its efforts in workplace accident reduction, and workplace safety has reached a certain level.
Andi [8] concluded that good workers’ safety cognition build good safety culture, which initiates the reduction of construction accidents.
Data collected from the questionnaire was subjected to SPSS 17.0 statistical analysis.
Summary of the background of survey respondents Managers Laborers Position Sample size % Position Sample size % Worksite director 19 5.8 Steel worker 121 36.1 Industrial safety personnel 11 3.3 Formwork worker 103 30.7 Superintender 31 9.3 Scaffolding / concrete worker 22 6.6 Director of field operations 10 3.0 Misc. manual labor 11 3.3 Other management position 3 0.9 Other labor position 4 1.2 Data Analysis Reliability analysis Reliability refers to the consistency and stability of test results.
Andi [8] concluded that good workers’ safety cognition build good safety culture, which initiates the reduction of construction accidents.
Data collected from the questionnaire was subjected to SPSS 17.0 statistical analysis.
Summary of the background of survey respondents Managers Laborers Position Sample size % Position Sample size % Worksite director 19 5.8 Steel worker 121 36.1 Industrial safety personnel 11 3.3 Formwork worker 103 30.7 Superintender 31 9.3 Scaffolding / concrete worker 22 6.6 Director of field operations 10 3.0 Misc. manual labor 11 3.3 Other management position 3 0.9 Other labor position 4 1.2 Data Analysis Reliability analysis Reliability refers to the consistency and stability of test results.
Online since: November 2005
Authors: S. Cai, J.D. Boyd
Because the total reduction was
constant, the rolling schedule with the higher strain below TNR ("Old 1.0") had less reduction in the
roughing stage than the schedule with lower strain below TNR ("Old 0.5").
The calculated values are plotted in Fig. 5, and show very good agreement with the experimental data. 0 20 40 60 80 100 120950 1050 1150 1250 1350 Temperature (o C) Mean Grain Diameter (micron) Measured Calculated 0 20 40 60 80 100 120950 1050 1150 1250 1350 Temperature (oC) Mean Grain Diameter (micron) Measured Calculated Figure 5.
The values of recrystallized grain diameter predicted by the models of Bai et al. [5] and Sellars [6] both fit the measured data well (Fig. 8).
The calculated values are plotted in Fig. 5, and show very good agreement with the experimental data. 0 20 40 60 80 100 120950 1050 1150 1250 1350 Temperature (o C) Mean Grain Diameter (micron) Measured Calculated 0 20 40 60 80 100 120950 1050 1150 1250 1350 Temperature (oC) Mean Grain Diameter (micron) Measured Calculated Figure 5.
The values of recrystallized grain diameter predicted by the models of Bai et al. [5] and Sellars [6] both fit the measured data well (Fig. 8).
Online since: September 2014
Authors: Fábio Pereira Ramanery, Alexandra Ancelmo Piscitelli Mansur, Herman Sander Mansur
QDs sizes and distribution data based on the images were assessed using Transmission Electron Microscopy Tecnai G2-20-FEI microscope at an accelerating voltage of 200 kV coupled to Energy-dispersive X-ray spectroscopy (EDS, EDX).
This optical bandgap is the lowest excitation energy of the QDs and it was estimated from absorption coefficient data as a function of wavelength using the “Tauc relation” as showed in Eq. 7: αhν = B(hν-EQD)n (7) Where α is the absorption coefficient, hn is the photon energy, B is the band form parameter, and n = 1/2 for direct bandgap and 2 for indirect bandgap.
Apparently, the most likely mechanism acting on the system stabilization is the reduction of the surface energy by the interactions with the hydroxyl and carboxylate groups from PVA-COOH chains, as schematically represented in Fig.1B.
However, at higher coverage, after the growth of a second layer (thicker shell), the efficiency has decreased with a relevant reduction of the PL intensity.
This optical bandgap is the lowest excitation energy of the QDs and it was estimated from absorption coefficient data as a function of wavelength using the “Tauc relation” as showed in Eq. 7: αhν = B(hν-EQD)n (7) Where α is the absorption coefficient, hn is the photon energy, B is the band form parameter, and n = 1/2 for direct bandgap and 2 for indirect bandgap.
Apparently, the most likely mechanism acting on the system stabilization is the reduction of the surface energy by the interactions with the hydroxyl and carboxylate groups from PVA-COOH chains, as schematically represented in Fig.1B.
However, at higher coverage, after the growth of a second layer (thicker shell), the efficiency has decreased with a relevant reduction of the PL intensity.