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Online since: September 2013
Authors: Salmiah Kasolang, Ahmed Jaffar, Alhassan Salami Tijani, Nor Hayati Saad
This step consists of gathering thermodynamic data of the process flow sheet (base case) model.
Mass and energy data from the Aspen PlusTM model are used to compute the exergy of the streams and thermodynamic efficiency.
The process data from Aspen PlusTM are entered into the WAR Graphical user interface (GUI) in order to compute environmental criteria of the base case model.
The process data information includes the chemicals used, the flow rates of the streams entering and leaving the process, and the energy usage of the process.
[13] Young DM, Cabezas H., Designing sustainable processes with simulation: the waste reduction (WAR) algorithm.
Mass and energy data from the Aspen PlusTM model are used to compute the exergy of the streams and thermodynamic efficiency.
The process data from Aspen PlusTM are entered into the WAR Graphical user interface (GUI) in order to compute environmental criteria of the base case model.
The process data information includes the chemicals used, the flow rates of the streams entering and leaving the process, and the energy usage of the process.
[13] Young DM, Cabezas H., Designing sustainable processes with simulation: the waste reduction (WAR) algorithm.
Online since: March 2006
Authors: Emad A. Badawi, M.A. Abdel-Rahman, N.A. Kamel, M. Abo-Elsoud, M. Abdel-Rahman, Yahia A. Lotfy
Particularly, a phenomenological trapping model is
proposed [4-6] to obtain both quantitative and quantitative data on defect behavior in materials.
The data for the line-shape spectra were analyzed by using the SP-01 computer program [12].
S-parameter as a function of thickness reduction for 3003 Al alloy.
S-parameter as a function of thickness reduction for 3005 Al alloy.
Defect density as a function of thickness reduction % for 3005 Al alloy. 5.
The data for the line-shape spectra were analyzed by using the SP-01 computer program [12].
S-parameter as a function of thickness reduction for 3003 Al alloy.
S-parameter as a function of thickness reduction for 3005 Al alloy.
Defect density as a function of thickness reduction % for 3005 Al alloy. 5.
Online since: January 2013
Authors: Nicolas G. Wright, Sandip Kumar Roy, Benjamin J.D. Furnival, Alton B. Horsfall
The majority of this variation is caused a reduction in the Dit influencing the structures electrical characteristics, due to a shift in the semiconductors bulk potential, which is due to the lower VTH of SiC-based MOSFETs at high temperatures.
The data shows a reduction in VFB with increasing temperature, which is similar to previous reports of MOSFET threshold voltage shift, due to a reduction in Dit close to the conduction band edge [10].
The data shows that the hysteresis has a strong dependence on both temperature and choice of high-κ dielectric material.
Therefore, curves have been fitted to the temperature dependent data in Fig. 6 by modifying the C1 and φA parameters [6].
It is proposed the majority of the variation in VFB is caused by a reduction in the Dit that is influencing the structures electrical characteristics, due to a shift in the semiconductors bulk potential.
The data shows a reduction in VFB with increasing temperature, which is similar to previous reports of MOSFET threshold voltage shift, due to a reduction in Dit close to the conduction band edge [10].
The data shows that the hysteresis has a strong dependence on both temperature and choice of high-κ dielectric material.
Therefore, curves have been fitted to the temperature dependent data in Fig. 6 by modifying the C1 and φA parameters [6].
It is proposed the majority of the variation in VFB is caused by a reduction in the Dit that is influencing the structures electrical characteristics, due to a shift in the semiconductors bulk potential.
Online since: June 2014
Authors: P.N. Kadiresh, S.P. Venkatesan, K. Suresh Kumar
Also cerium oxide acts as oxygen buffer causing simultaneous oxidation of hydrocarbons as well as the reduction of oxides of nitrogen.
H.Jung et.al [11] found that addition of cerium to diesel causes significant reduction in number weighted size distributions and light off temperature and the oxidation rate was increased significantly.
Thus the cerium oxide acts as an oxygen donating catalyst and provides oxygen for the oxidation of CO (or) absorbs oxygen for the reduction of NOx.
Data capture card, 17.
A computerized data acquisitions system was used to collect, store and analyze the data during the engine testing.
H.Jung et.al [11] found that addition of cerium to diesel causes significant reduction in number weighted size distributions and light off temperature and the oxidation rate was increased significantly.
Thus the cerium oxide acts as an oxygen donating catalyst and provides oxygen for the oxidation of CO (or) absorbs oxygen for the reduction of NOx.
Data capture card, 17.
A computerized data acquisitions system was used to collect, store and analyze the data during the engine testing.
Online since: March 2013
Authors: Li Jie Zhang, Yun Ru Zhang, Xu Ya Peng, Tian Tao Zhao
Kinetics and substrates optimization on a facultative and methanotrophic bacterium
ZHAO Tiantao1,a, ZHANG Lijie1,b, ZHANG Yunru1, PENG Xuya2
1College of Chemistry and Chemical Engineering, Chongqing University of Technology, Chongqing 400050, China
2College of Urban Construction and Environmental Engineering, Chongqing University, Chongqing 400045, China
aE-mail: tiantaozhao@gmail.com, bE-mail: zhljtt@cqut.edu.cn
Keywords: Methane reduction.
Facultative methanotrophs reported recently could only utilize a few of C2, C3 and C4 compounds, which limited the application of methane oxidation in the engineering of greenhouse gas reduction due to the difficulty of cells propagation.
These data would suggest that methane is the more preferred substrate for M. sp.
Metabolic and biochemical characteristics of the strain open up a new possibilities for environmental biotechnology, such as some potential applications in methane reduction emitted from soil or landfills.
Facultative methanotrophs reported recently could only utilize a few of C2, C3 and C4 compounds, which limited the application of methane oxidation in the engineering of greenhouse gas reduction due to the difficulty of cells propagation.
These data would suggest that methane is the more preferred substrate for M. sp.
Metabolic and biochemical characteristics of the strain open up a new possibilities for environmental biotechnology, such as some potential applications in methane reduction emitted from soil or landfills.
Online since: November 2011
Authors: Wu Bin, Liu Hong, Feng Cheng Tao, Qin Xia
The reduction of nanosized Ni powders with the catalyzed and electromagnetism material property was successfully prepared by this novel synthetic approach.
XPS data was measured with American PHI-5300/ESCA with Mg Kα radiation as the excitation source and the binding energy of C1S (284.6 eV) was used as a reference.
The XRD pattern of the first step products shows that they are cubic phase of Ni(OH)2 according to the data of the JCPDS file No.01-1047 (see Fig.2(a)).
With the PHI 5300 XAES data of the zero-valence nickel EbNi(2P3/2) =852.2 eV, the nanosized nickel powder is in a zero-valence state.
[5] Wang C., Zhang X.M., and Qian X.F., Preparation of nanocrystalline nickel powders through hydrothermal-reduction method, Mater.Res.Bull., 1998, 23 (12): 1747
XPS data was measured with American PHI-5300/ESCA with Mg Kα radiation as the excitation source and the binding energy of C1S (284.6 eV) was used as a reference.
The XRD pattern of the first step products shows that they are cubic phase of Ni(OH)2 according to the data of the JCPDS file No.01-1047 (see Fig.2(a)).
With the PHI 5300 XAES data of the zero-valence nickel EbNi(2P3/2) =852.2 eV, the nanosized nickel powder is in a zero-valence state.
[5] Wang C., Zhang X.M., and Qian X.F., Preparation of nanocrystalline nickel powders through hydrothermal-reduction method, Mater.Res.Bull., 1998, 23 (12): 1747
Safety Verification of Mechanical Properties of Reinforced Concrete Beam in the Fire by Applying CFD
Online since: January 2013
Authors: Te Chi Chen, Chian Yu Peng, Cherng Shing Lin, Shih Cheng Wang, Chia Chun Yu
And they have employed technology of fire protection engineering and quantified data of theoretical numerical model to create an even more flexible evaluation method for building’s fire protection.
Purpose of the above is to investigate elevated temperature and reduction of mechanical property, as well as verify safety of structure.
Fig. 8 Concrete Compressive strength reduction Table 5 Concrete Compressive strength reduction (kg/c) Beams suffered fire position 0 80cm 160cm 240cm Beam left side distance beam surface at 3.0cm 0 0 0 0 Beam right side distance beam surface at 3.0cm 0 0 0 0 Beam center 159.4 156.23 155.22 156.23 Steel Bars Yield Strength Simulation Discussion.
Steel bars’ reduction of strength after undergoing a fire is shown in Table 6.
The steel bars inside the beam approach the temperature threshold of strength reduction.
Purpose of the above is to investigate elevated temperature and reduction of mechanical property, as well as verify safety of structure.
Fig. 8 Concrete Compressive strength reduction Table 5 Concrete Compressive strength reduction (kg/c) Beams suffered fire position 0 80cm 160cm 240cm Beam left side distance beam surface at 3.0cm 0 0 0 0 Beam right side distance beam surface at 3.0cm 0 0 0 0 Beam center 159.4 156.23 155.22 156.23 Steel Bars Yield Strength Simulation Discussion.
Steel bars’ reduction of strength after undergoing a fire is shown in Table 6.
The steel bars inside the beam approach the temperature threshold of strength reduction.
Online since: January 2024
Authors: Benny Raphael, Archana P. Ambadi
The data was collected for 15 minutes for each light shelf.
The heat transfer process was simulated every 0.5 sec by formulating a custom-developed program, and the data collected was compared with experimental data.
Experimental data vs. simulation data surface finish, each light shelf will have a specular and diffuse reflection component.
They were compared with the experimental data for all samples.
Comparison of experimental data and simulation data Aluminium LS Experimental data Simulation data Mean 580.810 601.098 Standard deviation 55.895 66.982 Covariance 3731.450 Pearson correlation coefficient 0.997 Mean Square Error (MSE) 1110.538 References [1] Boyce, Peter, Claudia Hunter, and Owen Howlett.
The heat transfer process was simulated every 0.5 sec by formulating a custom-developed program, and the data collected was compared with experimental data.
Experimental data vs. simulation data surface finish, each light shelf will have a specular and diffuse reflection component.
They were compared with the experimental data for all samples.
Comparison of experimental data and simulation data Aluminium LS Experimental data Simulation data Mean 580.810 601.098 Standard deviation 55.895 66.982 Covariance 3731.450 Pearson correlation coefficient 0.997 Mean Square Error (MSE) 1110.538 References [1] Boyce, Peter, Claudia Hunter, and Owen Howlett.
Online since: June 2021
Authors: Sroisiri Thaweboon, Boonyanit Thaweboon
The percentage of biofilm reduction was 32-39%.
For S. mutans, the suppressive effect was noticed only at >1% vanillin with 18-25% biofilm reduction.
Figure 1 presents the percentages of bacterial biofilm reduction.
Lactobacilli was more sensitive to vanillin than S. mutans with >30% biofilm reduction.
Materials Vol. 853 (2020), p. 51 [20] The Toxicology and Environmental Health Information: Toxicology Data Network.
For S. mutans, the suppressive effect was noticed only at >1% vanillin with 18-25% biofilm reduction.
Figure 1 presents the percentages of bacterial biofilm reduction.
Lactobacilli was more sensitive to vanillin than S. mutans with >30% biofilm reduction.
Materials Vol. 853 (2020), p. 51 [20] The Toxicology and Environmental Health Information: Toxicology Data Network.
Online since: May 2012
Authors: Yu Chen, Long Cang Shu
(2) Gathering of the indicator data.
Therefore the data extraction form of vulnerability indicators in the light of density is convenient for regionalization and can be counted by the Yearbook in 2008.
For the data of subsidence rate, it can’t be counted in terms of administrative division, and in this paper a worst-case approach is adopted with assigning 3, 2 and1 to the regions, where the subsidence rate are 10~30mm/a, 5~10mm/a, and less than 5mm/a respectively, and the higher assigned value is more vulnerable
Mulas: A ground subsidence study based on InSAR data: Calibration of soil parameters and subsidence prediction in Murcia City (Spain).
Garfias: Simulating pumping-induced regional land subsidence with the use of InSAR and field data in the Toluca Valley, Mexico.
Therefore the data extraction form of vulnerability indicators in the light of density is convenient for regionalization and can be counted by the Yearbook in 2008.
For the data of subsidence rate, it can’t be counted in terms of administrative division, and in this paper a worst-case approach is adopted with assigning 3, 2 and1 to the regions, where the subsidence rate are 10~30mm/a, 5~10mm/a, and less than 5mm/a respectively, and the higher assigned value is more vulnerable
Mulas: A ground subsidence study based on InSAR data: Calibration of soil parameters and subsidence prediction in Murcia City (Spain).
Garfias: Simulating pumping-induced regional land subsidence with the use of InSAR and field data in the Toluca Valley, Mexico.