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Online since: October 2004
Authors: Hugo Ricardo Zschommler Sandim, B.F.S. Matos, G.S. Fonseca, Paulo Rangel Rios
Therefore it is not
straightforward to compare kinetic data for each temperature.
Data from all three temperatures are plotted together.
The correlation coefficient R = 0.74 was quite low owing to the large scatter in the data.
The agreement between the fitted curve and the experimental data is fair.
It was possible to fit Eq. 2 to the experimental data.
Data from all three temperatures are plotted together.
The correlation coefficient R = 0.74 was quite low owing to the large scatter in the data.
The agreement between the fitted curve and the experimental data is fair.
It was possible to fit Eq. 2 to the experimental data.
Online since: August 2009
Authors: Jin Hong Ma, Wen Zhi Zhang, Wei Chen, Hong Bin Li, Shen Bai Zheng
The roller size
refers to the site data.
H200××××200 column H-beam Reduction Ruler Analysis.
Thus, the wave of F5 pass is disappear and no wave appear on F7 pass, the datum are shown in table 4.
The recommended reduction ruler is shown in table 5.
Increasing the Web Reduction on Pass 5.
H200××××200 column H-beam Reduction Ruler Analysis.
Thus, the wave of F5 pass is disappear and no wave appear on F7 pass, the datum are shown in table 4.
The recommended reduction ruler is shown in table 5.
Increasing the Web Reduction on Pass 5.
Online since: October 2019
Authors: Ratana Sananmuang, Wipharat Chuachuad Chaiyasith, Jirapa Yodphet
Based on the data, the reduction of total COD from the used fixing reagent was 69.62% and 68.20% for the electrolysis followed with adsorption onto BRHA, respectively.
Fig. 3 Reduction of COD in different system The results in Table 2 indicated that the CSC could reduce COD better than that of BRHA.
Table 2 Characteristics of the used fixing reagent samples before and after treatments Parameters Before After After adsorption After adsorption Treatment Electrolysis with CSC with BRHA pH 4.83 6.94 5.57 3.80 Ag (I) ion (mg L-1) 5,634.66 998.36 277.94 480.89 COD (mg L-1) 182,821.28 88,200.00 55,534.64 58,145.36 In addition, the t-test statistical results for 9 replicated data points of each adsorbent indicate that the recovery of Ag (I) ions and reduction of COD before and after treatment with electrolysis was significantly different at α = .05 (t = 17.506, p ≤ 0.05 for COD; t = 44.597, p ≤ 0.05 for Ag (I) ion) .
Moreover, the adsorption models for Ag(I) onto both adsorbents were shown in Fig. 4 which indicated that the data of the adsorption of silver onto CSC and BRHA were rather fitted to Freundlich model than Langmuir model.
The efficiency of COD reduction for used fixing reagent after applying electrolysis procedure was 51.76 %.
Fig. 3 Reduction of COD in different system The results in Table 2 indicated that the CSC could reduce COD better than that of BRHA.
Table 2 Characteristics of the used fixing reagent samples before and after treatments Parameters Before After After adsorption After adsorption Treatment Electrolysis with CSC with BRHA pH 4.83 6.94 5.57 3.80 Ag (I) ion (mg L-1) 5,634.66 998.36 277.94 480.89 COD (mg L-1) 182,821.28 88,200.00 55,534.64 58,145.36 In addition, the t-test statistical results for 9 replicated data points of each adsorbent indicate that the recovery of Ag (I) ions and reduction of COD before and after treatment with electrolysis was significantly different at α = .05 (t = 17.506, p ≤ 0.05 for COD; t = 44.597, p ≤ 0.05 for Ag (I) ion) .
Moreover, the adsorption models for Ag(I) onto both adsorbents were shown in Fig. 4 which indicated that the data of the adsorption of silver onto CSC and BRHA were rather fitted to Freundlich model than Langmuir model.
The efficiency of COD reduction for used fixing reagent after applying electrolysis procedure was 51.76 %.
Online since: February 2013
Authors: Yan Liu, Bing Yang, Xiao Juan Zhang, Qiu Xin Xu
Urban greening can not only beautify the environment, but also have the noise reduction and decontamination, windbreak and sand-fixation, water conservation and other ecological function.
Foreign research data show that low noise asphalt pavement can reduce traffic noise 3 ~ 8 dB (A).
The system include SQLab II multichannel-Frontend for Data recording and Data storage, HMS III binaural signal, HPS IV play back system, acoustics and vibration sensor etc. 4.2 Test operating condition and spectral analysis Microphones arrangement height are 1.2m, 1.6m, 2.0m.The test time is at night.
For the porous asphalt mixture material of which voids rate is more than 20%, intermediate frequency sound in 400~ 1000Hz has the biggest sound absorption coefficient, and noise reduction effect is obvious.
[3] Yang Yang, The review of noise-reduction and environment road in city.
Foreign research data show that low noise asphalt pavement can reduce traffic noise 3 ~ 8 dB (A).
The system include SQLab II multichannel-Frontend for Data recording and Data storage, HMS III binaural signal, HPS IV play back system, acoustics and vibration sensor etc. 4.2 Test operating condition and spectral analysis Microphones arrangement height are 1.2m, 1.6m, 2.0m.The test time is at night.
For the porous asphalt mixture material of which voids rate is more than 20%, intermediate frequency sound in 400~ 1000Hz has the biggest sound absorption coefficient, and noise reduction effect is obvious.
[3] Yang Yang, The review of noise-reduction and environment road in city.
Online since: October 2011
Authors: Sheng Nian Wang, Chao Li, Ying Fei Wang, Xia Hong Zhang
It was observed from data in Table 2 that the addition of SHSRA did not induce any substantial change in the water retention, cohesiveness, or mobility compared with the specimens without SHSRA.
Table 2 Data related to slump and air content of concrete with and without SHSRA Slump(mm) Air content(%) Workability Water retention Cohesiveness Mobility Reference 155 1.80 good good good SHSRA-1 125 2.10 good good good SHSRA-2 130 2.10 good good good SHSRA-3 155 1.15 good good good Influence of SHSRA on drying shrinkage.
Fig. 2 Curves of heat evolution rate and heat release versus time Table 4 listed the data related to hydration reaction for cementitious materials.
Table 4 Data of hydration reaction Maximum heat evolution rate(s-1) tmax * (h) Total heat release after 1 day (J·g-1) Total heat release after 3 day (J·g-1) Reference 6.68 8.90 109.07 167.31 SHSRA-A (1.0%) 5.18 12.8 75.54 160.23 SHSRA-C (3.0%) 4.44 14.5 64.77 151.98 * time for occurrence of maximum heat evolution peak Influence of SHSRA on strength.
The reduction caused by SHSRA decreased with increasing age time.
Table 2 Data related to slump and air content of concrete with and without SHSRA Slump(mm) Air content(%) Workability Water retention Cohesiveness Mobility Reference 155 1.80 good good good SHSRA-1 125 2.10 good good good SHSRA-2 130 2.10 good good good SHSRA-3 155 1.15 good good good Influence of SHSRA on drying shrinkage.
Fig. 2 Curves of heat evolution rate and heat release versus time Table 4 listed the data related to hydration reaction for cementitious materials.
Table 4 Data of hydration reaction Maximum heat evolution rate(s-1) tmax * (h) Total heat release after 1 day (J·g-1) Total heat release after 3 day (J·g-1) Reference 6.68 8.90 109.07 167.31 SHSRA-A (1.0%) 5.18 12.8 75.54 160.23 SHSRA-C (3.0%) 4.44 14.5 64.77 151.98 * time for occurrence of maximum heat evolution peak Influence of SHSRA on strength.
The reduction caused by SHSRA decreased with increasing age time.
Online since: April 2009
Authors: Dayalan R. Gunasegaram, Robert G. O'Donnell, Michel Givord
In the present paper, reductions in GHG
emissions achieved by ATM are illustrated with the aid of a commercial case study; potential mass
reduction opportunities for the automotive sector are explored with the aid of finite element
analysis.
Greener Process Previously published data [2, 3] indicates that yield improvements of the order of 15% are achievable on average using the ATM technology for both aluminium and magnesium alloys when compared with traditional HPDC.
The reduction in the amount of alloy to be melted = (1.06-0.91) × 120,000 p.a. = 18,000 kg p.a.
The 0.2% proof strength data is given in Table 1 along with some results of the FEA analysis.
Conclusions Reductions in GHG emissions triggered by the adoption of ATM high pressure die casting technology were discussed.
Greener Process Previously published data [2, 3] indicates that yield improvements of the order of 15% are achievable on average using the ATM technology for both aluminium and magnesium alloys when compared with traditional HPDC.
The reduction in the amount of alloy to be melted = (1.06-0.91) × 120,000 p.a. = 18,000 kg p.a.
The 0.2% proof strength data is given in Table 1 along with some results of the FEA analysis.
Conclusions Reductions in GHG emissions triggered by the adoption of ATM high pressure die casting technology were discussed.
Online since: June 2014
Authors: Qiang Hua Li, Wen Qiang Guo, Ming Wei Wang, Qin Jun Li
Sensor nodes are responsible for data acquisition, upload the data to the data center via Bluetooth wireless communication link and execute the commands from the data center.
Data center is responsible for data storage, processing and display.
The C is noise reduction capacitor special used in the circuit which value is 1μF.
Data can be collected after Sensor Bluetooth module Bluetooth module and a data center for data collection paired successfully.
Data sheet of MAX6025(2001)
Data center is responsible for data storage, processing and display.
The C is noise reduction capacitor special used in the circuit which value is 1μF.
Data can be collected after Sensor Bluetooth module Bluetooth module and a data center for data collection paired successfully.
Data sheet of MAX6025(2001)
Online since: August 2013
Authors: Qi Cai, Yun Fang Zhao, Jie Liang, Feng Yan
The efficiency of the system is improved with the help of data dimension reduction extraction feature.
We take the simulation data to build this diagnostic system.
The Time Series Data.
Fig 2 Residual Variance of ISOMAP Dimension reduction ISOMAP aims at keeping the distance variance values between data points to be minimum before and after the dimension reduction.
To show the dimension reduction effect intuitively, some data is randomly selected whose dimension is reduced to be 3 d in fig.3.
We take the simulation data to build this diagnostic system.
The Time Series Data.
Fig 2 Residual Variance of ISOMAP Dimension reduction ISOMAP aims at keeping the distance variance values between data points to be minimum before and after the dimension reduction.
To show the dimension reduction effect intuitively, some data is randomly selected whose dimension is reduced to be 3 d in fig.3.
Online since: February 2012
Authors: Bo Zhang, Wei Liu, Xiao Xiao Ma, Li Ma
If we want to use these data in geographic information system, the above-mentioned data must be converted into data of GRID format.
The header file of satellite remote sensing data is first loaded to get projection type, data resolution, data width, data length, maximum latitude and longitude, minimum latitude and longitude and other data information of satellite data when data is converted.
Then resolution, data width, length and other data information of grid file is set by IRawPixels method.
Ground observation data have Shapefile, Coverage, INFO Table, dBase Tables and other data format.
Superposition of monitoring data and geographical background data.
The header file of satellite remote sensing data is first loaded to get projection type, data resolution, data width, data length, maximum latitude and longitude, minimum latitude and longitude and other data information of satellite data when data is converted.
Then resolution, data width, length and other data information of grid file is set by IRawPixels method.
Ground observation data have Shapefile, Coverage, INFO Table, dBase Tables and other data format.
Superposition of monitoring data and geographical background data.
Online since: July 2015
Authors: Wan Asma Ibrahim, Rafidah Abdul Jalil, Zulkafli Hassan
Up to 48.26 percent CO2 reduction may be achieved.
Estimation of amounts of WPT availability and potential products conversion Data on the amount of waste palm trees due for felling were generated based on Malaysian Palm Oil Board (MPOB) published data [1].
The data on the hectarage of palm trees that will mature and due for felling is presented in Fig. 1.
Data collected were the type of oil palm biomass used as raw material, product produced and amount utilized.
Ea(WPT) = Ea(Trunk) + Ea(Fronds) + Ea(Fuel used during felling) (2) Calculation of Ea for various parts of WPT uses the data shown in Table 2 where the carbon contents of the respective parts of WPT are shown.
Estimation of amounts of WPT availability and potential products conversion Data on the amount of waste palm trees due for felling were generated based on Malaysian Palm Oil Board (MPOB) published data [1].
The data on the hectarage of palm trees that will mature and due for felling is presented in Fig. 1.
Data collected were the type of oil palm biomass used as raw material, product produced and amount utilized.
Ea(WPT) = Ea(Trunk) + Ea(Fronds) + Ea(Fuel used during felling) (2) Calculation of Ea for various parts of WPT uses the data shown in Table 2 where the carbon contents of the respective parts of WPT are shown.