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Online since: October 2018
Authors: Vladimir I. Matiukhin, Y.G. Yaroshenko, K.V. Bulatov
By comparing these data, we estimated directions for improving the gas distributing system.
It follows from the analysis of the above data that the maximum pressure drop and, consequently, maximum power consumption of the fan (~75% of the total consumption) and the same power consumption of the exhaust fan is formed in the distributing unit when air flows from the tuyeres and in the work space of the furnace.
Taking t′′ =T′ = 700-750°С [6, 7] and using data on gas temperatures at the stockline level, it is possible to determine the values of the ratio Wg /Wb over the vertical areas of the internal volume of the furnace.
The values Wg /Wb for these thermal zones were calculated with the use of the data given in the work [2].
Due to this, the equal conditions were created for development of heat and mass exchange processes in the work space of the shaft furnace in accordance with the data given in Table 2.
It follows from the analysis of the above data that the maximum pressure drop and, consequently, maximum power consumption of the fan (~75% of the total consumption) and the same power consumption of the exhaust fan is formed in the distributing unit when air flows from the tuyeres and in the work space of the furnace.
Taking t′′ =T′ = 700-750°С [6, 7] and using data on gas temperatures at the stockline level, it is possible to determine the values of the ratio Wg /Wb over the vertical areas of the internal volume of the furnace.
The values Wg /Wb for these thermal zones were calculated with the use of the data given in the work [2].
Due to this, the equal conditions were created for development of heat and mass exchange processes in the work space of the shaft furnace in accordance with the data given in Table 2.
Online since: July 2021
Authors: Farrukh Aminov, Zafar Okhunov, Olim Rasulov, Amirkhon Aminov, Shivam Mishra
Since the construction industry is very energy intensive, there is a question of drastic reduction of energy consumption in all types of buildings.
With the increase in the quantity of the C-3 additive from 0.8[%] to 1.0% of the cement mass, there is a noticeable reduction in the strength of the sprayed concrete.
The reduction in the strength of the shotcrete is due to the noticeable air attraction during the preparation of the concrete mixture.
The data obtained indicate that in three-layer construction structures it is possible to use insulators from «Polystyrene plates» with a density of 10 [kg/m3] as well as shotcrete with small filling and cement of a certain brand.
With the increase in the quantity of the C-3 additive from 0.8[%] to 1.0% of the cement mass, there is a noticeable reduction in the strength of the sprayed concrete.
The reduction in the strength of the shotcrete is due to the noticeable air attraction during the preparation of the concrete mixture.
The data obtained indicate that in three-layer construction structures it is possible to use insulators from «Polystyrene plates» with a density of 10 [kg/m3] as well as shotcrete with small filling and cement of a certain brand.
Online since: September 2015
Authors: Kamarulazhar Daud, Harapajan Singh Nagindar Singh, Ahmad Farid Abidin
Other research used ANOVA to identify significant difference between the actual data and three forecasting methods for on time series dataset [9].
ANOVA is used as the feature selection for the PQD features data set.
Feature selection by ANOVA: feature reduction after ANOVA analysis.
Schincariol, Local s-spectrum anaysis of 1-D and 2-D data, Physics of the Earth and Planetary Interiors, vol.103,pp.329-336, (1997)
Panigrahi, Advanced signal processing technique for feature extraction in data mining, International Journal of Computer applications, vol.19, no.9,pp.30-37, (2011)
ANOVA is used as the feature selection for the PQD features data set.
Feature selection by ANOVA: feature reduction after ANOVA analysis.
Schincariol, Local s-spectrum anaysis of 1-D and 2-D data, Physics of the Earth and Planetary Interiors, vol.103,pp.329-336, (1997)
Panigrahi, Advanced signal processing technique for feature extraction in data mining, International Journal of Computer applications, vol.19, no.9,pp.30-37, (2011)
Online since: December 2009
Authors: José A. Jiménez, Marta López, Ramalinga V. Mangalaraja, M. Elena Gómez, David Reyes, K. Ramam, Pedro Prieto
The continuous decreasing trend of saturation magnetization (Ms) with increasing of milling time
can be explained by the reduction of copper oxide by (CoNi) oxide formation, confirmed by powder
XRD patterns.
In this study, the Rietveld analysis program of TOPAS (Bruker AXS, version 4.0) was used for the XRD data refinement.
The microstructure features of powder samples which were calculated from XRD data and refined with Rietveld analysis, one mechanism could be concluded for these alloys as, the broadening of the reflections of Cu is primarily due to milling caused distortion in the lattice.
In accordance with the experimental data obtained for 3 samples (cold pressed and sintered) in each series, the optimized data has been presented in the Table 1.
The mean strain values (msv) measured by XRD data ranged from 0.14 for 30h to 0.215 for 60h milling, explains grain fragmentation, increase of residual microstress by the continuous grain fragmentation and the lattice deformation due to the formation of metastable CuCoNi solid solution.
In this study, the Rietveld analysis program of TOPAS (Bruker AXS, version 4.0) was used for the XRD data refinement.
The microstructure features of powder samples which were calculated from XRD data and refined with Rietveld analysis, one mechanism could be concluded for these alloys as, the broadening of the reflections of Cu is primarily due to milling caused distortion in the lattice.
In accordance with the experimental data obtained for 3 samples (cold pressed and sintered) in each series, the optimized data has been presented in the Table 1.
The mean strain values (msv) measured by XRD data ranged from 0.14 for 30h to 0.215 for 60h milling, explains grain fragmentation, increase of residual microstress by the continuous grain fragmentation and the lattice deformation due to the formation of metastable CuCoNi solid solution.
Online since: October 2014
Authors: Alexandr Gulin, Marina Polyakova, Eduard Golubchik
Data base
Production (quality control)
yes
no
Adjustment of customer requrements
Fig. 2.
The main process technological parameters influencing the designed process are the number of revolutions of wire twisting, reduction in the first die and reduction in the second die.
Thus wire strengthening after combined deformational processing was about 10 % higher as compared with drawing with the same total reduction.
At minimum reduction in the second die with the increase in rotation velocity of the roller system ultimate tensile strength decreases up to wire breakage.
The biggest plasticity increase is characteristic for the drawing sequence with the biggest reduction in the second die.
The main process technological parameters influencing the designed process are the number of revolutions of wire twisting, reduction in the first die and reduction in the second die.
Thus wire strengthening after combined deformational processing was about 10 % higher as compared with drawing with the same total reduction.
At minimum reduction in the second die with the increase in rotation velocity of the roller system ultimate tensile strength decreases up to wire breakage.
The biggest plasticity increase is characteristic for the drawing sequence with the biggest reduction in the second die.
Online since: July 2018
Authors: V. Pozniakov, L. Markashova, Olena M. Berdnikova, T. Alekseienko, S. Zhdanov
It was based on experimental data, received by a quantitative fractography method.
However, it is 1.6 reduction of ψ index and KCV–40 in HAZ metal in comparison with Vw = 72 m/h.
At that, HAZ metal phase composition changes from bainite-martensite to martensite, grain structure has 1.4 time refinement at microhardness reduction on average by 8%.
Reduction of test temperature to Ttest = − 40°С results in the mixed type of failure with quasi-brittle component (Vf = 15…20%) in zone I and up to 30% in zone II.
Reduction of test temperature results in failure with quasi-brittle component in zone I (Table 2, Figure 4, a-c) and in zone II the nature of failure remains ductile with small pits of dP = 2…5 μm size and coarse ones dP = 20…60 μm (Figure 4, d-f).
However, it is 1.6 reduction of ψ index and KCV–40 in HAZ metal in comparison with Vw = 72 m/h.
At that, HAZ metal phase composition changes from bainite-martensite to martensite, grain structure has 1.4 time refinement at microhardness reduction on average by 8%.
Reduction of test temperature to Ttest = − 40°С results in the mixed type of failure with quasi-brittle component (Vf = 15…20%) in zone I and up to 30% in zone II.
Reduction of test temperature results in failure with quasi-brittle component in zone I (Table 2, Figure 4, a-c) and in zone II the nature of failure remains ductile with small pits of dP = 2…5 μm size and coarse ones dP = 20…60 μm (Figure 4, d-f).
Online since: June 2020
Authors: Parames Chutima, Thunwarat Sawatsuphaphon
Introduction
Contactless Chip Module is mainly used in cards and a passport for store data [1].
The historical data from July 2018 – March 2019 of the case study company showed that product lot on hold 2,399 lots that impact productivity.
Define Phase The first important stage of six sigma is defined phase that contains problem description, the impact of business case benefit after improvement to identify the scope that project will be addressed to comply with the required objective by studying details of a process flow chart and historical data then finalized by creating a project charter.
In this research, the historical data of break down product lot on hold rate VS product loading lot found Contactless Chip Module product at the electrical testing process has a 9.5% product lot on hold rate (average).
Two-Sample T-Test and CI: Before, After Change brush at Mold machine Improve Phase As a result of data analysis from ANOVA [1] in Fig. 8.
The historical data from July 2018 – March 2019 of the case study company showed that product lot on hold 2,399 lots that impact productivity.
Define Phase The first important stage of six sigma is defined phase that contains problem description, the impact of business case benefit after improvement to identify the scope that project will be addressed to comply with the required objective by studying details of a process flow chart and historical data then finalized by creating a project charter.
In this research, the historical data of break down product lot on hold rate VS product loading lot found Contactless Chip Module product at the electrical testing process has a 9.5% product lot on hold rate (average).
Two-Sample T-Test and CI: Before, After Change brush at Mold machine Improve Phase As a result of data analysis from ANOVA [1] in Fig. 8.
Online since: September 2013
Authors: Zhao Wei Shen, Cun Hong Pan, Sui Gao Ye, Hai Yan Lu, Li Hui Wang
Using regional economy, population, and geography data of 2008, the economic loss caused by dam failure was evaluated.
Using regional economy, population, and geography data as main input, it is then integrated with the dam-break flood routing model to acquire the hydraulic parameters, including depth, duration and velocity, and then to estimate the economic loss.
The first part is collection of geography, population and economic data of all these areas.
Since data, investigation, and reports from local government are mostly based on town, the estimation area is divided on the basis of town, too.
Using the above model and data, the direct loss is 1,655,360,000 RMB and the indirect loss is 413,840,000 RMB with the converting coefficient to be 25%, making the total value nearl 2,100 million RMB.
Using regional economy, population, and geography data as main input, it is then integrated with the dam-break flood routing model to acquire the hydraulic parameters, including depth, duration and velocity, and then to estimate the economic loss.
The first part is collection of geography, population and economic data of all these areas.
Since data, investigation, and reports from local government are mostly based on town, the estimation area is divided on the basis of town, too.
Using the above model and data, the direct loss is 1,655,360,000 RMB and the indirect loss is 413,840,000 RMB with the converting coefficient to be 25%, making the total value nearl 2,100 million RMB.
Online since: April 2008
Authors: Irene J. Beyerlein
With this approach, no
side-by-side comparisons with experimental data are possible.
However, relationships between the results with data in the literature are discussed at the end.
Discussion Comparison with data in the literature.
To date, there are no data to validate these characteristics.
Our calculations in comparison with data across the literature suggest that twins contribute to backstress generation.
However, relationships between the results with data in the literature are discussed at the end.
Discussion Comparison with data in the literature.
To date, there are no data to validate these characteristics.
Our calculations in comparison with data across the literature suggest that twins contribute to backstress generation.
Online since: October 2014
Authors: Hui Ren, David Watts, Jia Qi Fan, Dan Wei
Under this circumstance, the operation risk due to the uncertainty of wind generation and the contribution of wind power to energy conservation and emission reduction are quantified, and the corresponding quantified operational cost, environmental cost and operation risk are being integrated into the economic dispatching model to establish a multi-objective optimization dispatch model.
The method is applied to Hebei Southern power grid, simulated with actual wind power output data of one typical day.
Table1 Traditional generator’s emission and its handling cost (kg/Mw.h) (kg/Mw.h) (kg/Mw.h) emissions 649 0.206 9.89 Handling cost (yuan/kg) 14.842 0.210 62.964 Fig. 2 gives the actual wind power output for a typical day in HBS (96 time series data).
The forecasting data is also given in Fig.2.
The method is applied to Hebei Southern power grid, simulated with actual wind power output data of one typical day.
The method is applied to Hebei Southern power grid, simulated with actual wind power output data of one typical day.
Table1 Traditional generator’s emission and its handling cost (kg/Mw.h) (kg/Mw.h) (kg/Mw.h) emissions 649 0.206 9.89 Handling cost (yuan/kg) 14.842 0.210 62.964 Fig. 2 gives the actual wind power output for a typical day in HBS (96 time series data).
The forecasting data is also given in Fig.2.
The method is applied to Hebei Southern power grid, simulated with actual wind power output data of one typical day.