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Online since: September 2014
Authors: Fernando Vernilli, Murilo de Oliveira Barbosa, Rodrigo de Sousa e Silva, Gerson Fernandes Araújo, Rayana F. Rodrigues Lourenço, Gilbert Silva
The alloy TiNb can be obtained by conventional melting route or powder metallurgy, where the powders can be obtained by spray drying, chemical reactions and the process of hydrogenation and dehydrogenation (HDH).The hydrogenation is carried out by inserting hydrogen in the structure of Ti and Nb in vacuum at high temperatures, forming a phase extremely fragile called hydride of Ti and Nb, thus enabling the reduction of particle size by milling.
Comparing the values of the elasticity modulus in the composition of Ti-10 wt (%) Nb obtained by arc melting and PM, we can observe a large reduction in elasticity modulus from 96GPa to 2.7 GPa [13].
With the increase of the Nb concentration in the alloy, occurs the reduction of the elasticity modulus that is related to the appearance of β phase.
[11] Powder Diffraction File, International Centre for Diffraction Data, 1998
Comparing the values of the elasticity modulus in the composition of Ti-10 wt (%) Nb obtained by arc melting and PM, we can observe a large reduction in elasticity modulus from 96GPa to 2.7 GPa [13].
With the increase of the Nb concentration in the alloy, occurs the reduction of the elasticity modulus that is related to the appearance of β phase.
[11] Powder Diffraction File, International Centre for Diffraction Data, 1998
Online since: May 2010
Authors: Xue Mei Li, Li Xing Ding, Jin Hu Lǔ, lan Lan Li
Step 5 (Temperature reduction).
Fig.1 Architecture of SVM-SA forecasting model Simulation experiment and results The hourly climate data and building cooling load from May to September is considered as experimental data in this paper.
The data are divided into three data sets: the training data set, the validation data set and the testing data set.
The cooling load data were sampled per hour in every day.
The SVM-SA model performs best when using 30 input data.
Fig.1 Architecture of SVM-SA forecasting model Simulation experiment and results The hourly climate data and building cooling load from May to September is considered as experimental data in this paper.
The data are divided into three data sets: the training data set, the validation data set and the testing data set.
The cooling load data were sampled per hour in every day.
The SVM-SA model performs best when using 30 input data.
Online since: September 2013
Authors: Huan Wang, Ting Ting Tao, Wan Chun Fei
The principal component analysis can ensure the smallest loss of the original data, to replace the multi-variables with a few synthetic variables, to simplify the data structure, and objectively determine the weights.
Read n sample data and analyze their principal components.
Take the average value of the top A sample data in Dαk sorting as the benchmark data of the first class, and denote the principal component as M1.
Take the average value of the top A sample data in Dαk sorting as the benchmark data of the first class, and denote the principal component as N1.
Yang Xiaotao to provide the valuable statistical data.
Read n sample data and analyze their principal components.
Take the average value of the top A sample data in Dαk sorting as the benchmark data of the first class, and denote the principal component as M1.
Take the average value of the top A sample data in Dαk sorting as the benchmark data of the first class, and denote the principal component as N1.
Yang Xiaotao to provide the valuable statistical data.
Online since: March 2024
Authors: Ratchaporn Srichan, Supaporn Mala, Sroisiri Thaweboon, Boonyanit Thaweboon
Data from this study provides the first scientific evidence to demonstrate the benefits of using artificial saliva containing vanillin to maintain healthy gums and accelerate oral wound healing.
The reduction of salivary flow enhances the risk of dental caries and other infections in the oral cavity.
data expressed as the mean number of cell migration + SD *significant difference from control a) control without vanillin b) 0.25% w/v vanillin c) 1% w/v vanillin d) 4% w/v vanillin Fig.1.
In diabetic rat models, the inclusion of vanillin in the chitosan membrane was shown to improve the healing process by a reduction in wound size, an increase in collagen deposition, and re-epithelialization [9].
Summary Data from this study provides scientific evidence to demonstrate the benefits of using artificial saliva containing vanillin to maintain healthy gums and accelerate oral wound healing.
The reduction of salivary flow enhances the risk of dental caries and other infections in the oral cavity.
data expressed as the mean number of cell migration + SD *significant difference from control a) control without vanillin b) 0.25% w/v vanillin c) 1% w/v vanillin d) 4% w/v vanillin Fig.1.
In diabetic rat models, the inclusion of vanillin in the chitosan membrane was shown to improve the healing process by a reduction in wound size, an increase in collagen deposition, and re-epithelialization [9].
Summary Data from this study provides scientific evidence to demonstrate the benefits of using artificial saliva containing vanillin to maintain healthy gums and accelerate oral wound healing.
Online since: February 2013
Authors: Li Ning Wu, Yong Tao Shen, Jian Hua Zhang, Zong Qi Liu, Jie Ji, Meng Si Tan
(1) Data preprocessing.
Among large numbers of history wind speed data which is influenced by various factors, there are also some abnormal data.
Analysis of Examples Based on the wind speeds in reference [10] as historical data ( sampling one point every 10 minutes), this paper uses the method of processing data in reference [10], utilizes SAS software to search and revise singular values and missing values of the data, thus getting comparatively accurate data.
Considering the data quantity is relatively less, this paper only analyzes and revises the 1-hour-forecast data.
Based on the fitting data of wind speed time series model, it can be seen that the last historical data point was in state 4.
Among large numbers of history wind speed data which is influenced by various factors, there are also some abnormal data.
Analysis of Examples Based on the wind speeds in reference [10] as historical data ( sampling one point every 10 minutes), this paper uses the method of processing data in reference [10], utilizes SAS software to search and revise singular values and missing values of the data, thus getting comparatively accurate data.
Considering the data quantity is relatively less, this paper only analyzes and revises the 1-hour-forecast data.
Based on the fitting data of wind speed time series model, it can be seen that the last historical data point was in state 4.
Online since: September 2018
Authors: Achanai Buasri, Vorrada Loryuenyong, Chudeth Prasanwon, Bhornwalan Boonsong, Pantira Kohprasert
The well dispersion of graphene in aluminum matrix could facilitate the electron transport and to induce the pore reduction throughout the matrix.
The well dispersion of graphene in aluminum matrix could facilitate the electron transport and to induce the pore reduction throughout the matrix.
Data 13 (1984) 1131-1172.
The well dispersion of graphene in aluminum matrix could facilitate the electron transport and to induce the pore reduction throughout the matrix.
Data 13 (1984) 1131-1172.
Online since: November 2012
Authors: Qing Fen Li, Jian Hua Wu, Chun Li Wang
On the surface of the more positive alloy, these excess electrons are consumed by a cathodic reaction that, in seawater, is usually oxygen reduction.
The individual behavior of coupled alloys Fig.1 shows the self-corrosion potential data plots of TA2, B10 and 921A.
Potential data plot at 25°C of TA2, B10 and 921A Fig.2.
Fig.3 shows, as an example, the galvanic potential and the galvanic current density data of 921A, B10 and TA2 members immersed in natural seawater at 25℃ during 240h.
According to this result, anodic dissolution of iron takes place on the surface of 921A as anode, oxygen reduction reaction occurs on the surface of the B10 and TA2.
The individual behavior of coupled alloys Fig.1 shows the self-corrosion potential data plots of TA2, B10 and 921A.
Potential data plot at 25°C of TA2, B10 and 921A Fig.2.
Fig.3 shows, as an example, the galvanic potential and the galvanic current density data of 921A, B10 and TA2 members immersed in natural seawater at 25℃ during 240h.
According to this result, anodic dissolution of iron takes place on the surface of 921A as anode, oxygen reduction reaction occurs on the surface of the B10 and TA2.
Online since: July 2014
Authors: Pramod S. Mehta, Ismail Saleel
As experimental data are unavailable, the model is validated by comparing the predicted entropy generation history with that from the detailed analytical model of Dash et al. [2].
The predicted non-dimensional entropy generation per unit surface area (Ṡ¢/d¢2) shows a slight drop in the initial stages due to the reduction in entropy generation rate and the low rate of change of droplet surface area (see Fig. 2a).
A similar dip in Ṡ¢ is seen in the data provided by Dash et al. [2] for a vaporizing water droplet.
Although the entropy generation rate falls (see Fig. 2a) after about 40% of the liquid has vaporized due to the drop in heat and mass transfer rates, the consistent reduction in surface area again causes Ṡ¢/d¢2 to rise in the later stages.
Data Monogr. 9 (1998) 1-1951
The predicted non-dimensional entropy generation per unit surface area (Ṡ¢/d¢2) shows a slight drop in the initial stages due to the reduction in entropy generation rate and the low rate of change of droplet surface area (see Fig. 2a).
A similar dip in Ṡ¢ is seen in the data provided by Dash et al. [2] for a vaporizing water droplet.
Although the entropy generation rate falls (see Fig. 2a) after about 40% of the liquid has vaporized due to the drop in heat and mass transfer rates, the consistent reduction in surface area again causes Ṡ¢/d¢2 to rise in the later stages.
Data Monogr. 9 (1998) 1-1951
Online since: September 2016
Authors: I.V. Chumanov, A.N. Dildin
According to the data, this variant is less energy intensive than smelting reduction processes of the entire volume of the slag without prior restorative procedures.
These data in general correspond to culculated parameters.
The chemical composition metallic part of the melt after liquid-phase recovery (composition excluding carbon) The type of slag in the initial mixture The content of component in received metal, [wt. %] Fe Cr Ni Mn Cu The initial nonmagnetic 87.68 7.56 4.45 0.31 - The initial magnetic 89.40 5.22 4.92 0.46 - Non-magnetic, prereduced at 1200 °C 88.95 4.84 6.21 - - Magnetic, prereduced at 1200 °C 89.09 5.91 3.54 0.52 0.94 The obtained data confirm previously conducted in vitro studies on liquid-phase recovery of slag melt [3, 4] and demonstrate the effectiveness of recovery components of slag coke carbon (graphite) and gaseous environment that includes carbon monoxide.
Eremyashev, Solid-phase reduction of waste products in steelmaking, Metallurgist. 56 (2012) 91-96
These data in general correspond to culculated parameters.
The chemical composition metallic part of the melt after liquid-phase recovery (composition excluding carbon) The type of slag in the initial mixture The content of component in received metal, [wt. %] Fe Cr Ni Mn Cu The initial nonmagnetic 87.68 7.56 4.45 0.31 - The initial magnetic 89.40 5.22 4.92 0.46 - Non-magnetic, prereduced at 1200 °C 88.95 4.84 6.21 - - Magnetic, prereduced at 1200 °C 89.09 5.91 3.54 0.52 0.94 The obtained data confirm previously conducted in vitro studies on liquid-phase recovery of slag melt [3, 4] and demonstrate the effectiveness of recovery components of slag coke carbon (graphite) and gaseous environment that includes carbon monoxide.
Eremyashev, Solid-phase reduction of waste products in steelmaking, Metallurgist. 56 (2012) 91-96
Online since: March 2017
Authors: Tawatchai Charinpanitkul, Kreangkrai Maneeintr
Samples are taken for 3 times to analyze the vapor-liquid equilibrium data by using titration with 1M HCl.
An increase in cyclic capacity will lead to decreased absorbent circulation rate thus leading to the reduction of the overall capital and operating costs and resulting in the decrease in carbon dioxide capture cost.
Summary In this study, the vapor-liquid equilibrium data of CO2 in aqueous solution of 2-MAE and 3-AP are investigated in term of CO2 loading capacity in comparison with MEA solution.
This means that an increase in cyclic capacity can lead to the decrease in energy requirement for solution regeneration and liquid-circulation rate, leading to the reduction of the overall capital and operating costs and resulting in the decrease in cost of carbon capture.
Data Vol. 37 (1994), p. 96 [8] H.
An increase in cyclic capacity will lead to decreased absorbent circulation rate thus leading to the reduction of the overall capital and operating costs and resulting in the decrease in carbon dioxide capture cost.
Summary In this study, the vapor-liquid equilibrium data of CO2 in aqueous solution of 2-MAE and 3-AP are investigated in term of CO2 loading capacity in comparison with MEA solution.
This means that an increase in cyclic capacity can lead to the decrease in energy requirement for solution regeneration and liquid-circulation rate, leading to the reduction of the overall capital and operating costs and resulting in the decrease in cost of carbon capture.
Data Vol. 37 (1994), p. 96 [8] H.