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Online since: March 2016
Authors: Ming Wen, Wei Yi, Ze Na Xin, Wei Ming Guan, Jun Bi, Jun Min Zhang, Yue Sheng, Zhi Long Tan, Chuan Jun Wang
Finally, RuO2 was changed to Ru by hydrogen reduction method.
Lu F. et al [14] synthesized the chain-like Ru nanoparticle array by liquid chemical reduction process.
The (NH4)2RuCl6 powder was, then, ignited in air at 500 oC for 6 h (1st step ignition) followed by reduction in hydrogen at 600 oC for 6 h with final ignition at 900 oC for 2 h and subsequent cooling under hydrogen (2nd step ignition).
However, it should be noted that (NH4)2RuCl6 is not listed in the International Centre for Diffraction Data (formerly Joint Committee on Powder Diffraction Standards JCPDS 7-240 database)[16].
Lu F. et al [14] synthesized the chain-like Ru nanoparticle array by liquid chemical reduction process.
The (NH4)2RuCl6 powder was, then, ignited in air at 500 oC for 6 h (1st step ignition) followed by reduction in hydrogen at 600 oC for 6 h with final ignition at 900 oC for 2 h and subsequent cooling under hydrogen (2nd step ignition).
However, it should be noted that (NH4)2RuCl6 is not listed in the International Centre for Diffraction Data (formerly Joint Committee on Powder Diffraction Standards JCPDS 7-240 database)[16].
Online since: July 2022
Authors: Antonino Squillace, Matteo Perini, Paolo Bosetti, Alessia Teresa Silvestri
In the context of Industry 4.0, the interest towards the additive manufacturing processes is growing due to their numerous advantages, such as the possibility to prototype, the reduction of waste material, the inferior time to market, ad so on.
Introduction Industry 4.0 is based on nine core pillars that affect the manufacturing growth [1]: big data, autonomous navigation [2,3], simulation [4–6], additive manufacturing [7], internet of things [8], cloud computing, augmented reality, horizontal and vertical integration and cyber security [9].
It is particularly interesting for industrial applications because of the reduction in material waste, the fact that material is only used where it is desired.
In conclusion, only one single wall has respected the design data and reached the desired height in combination with an acceptable shape; it is shown in Fig. 6 and it has been obtained with a layer thickness equal to 0.6.
Specifically, for the H13, it has been assessed a reduction of 100 W for each layer starting from the 4th layer in the single walls.
Introduction Industry 4.0 is based on nine core pillars that affect the manufacturing growth [1]: big data, autonomous navigation [2,3], simulation [4–6], additive manufacturing [7], internet of things [8], cloud computing, augmented reality, horizontal and vertical integration and cyber security [9].
It is particularly interesting for industrial applications because of the reduction in material waste, the fact that material is only used where it is desired.
In conclusion, only one single wall has respected the design data and reached the desired height in combination with an acceptable shape; it is shown in Fig. 6 and it has been obtained with a layer thickness equal to 0.6.
Specifically, for the H13, it has been assessed a reduction of 100 W for each layer starting from the 4th layer in the single walls.
Online since: May 2014
Authors: Rui Xue Yin
The evaluation result provides the basis data for the decision maker to establish the carbon emission reduction policy by analyzing the I/O performance of the total casting process.
According to the data base of Simpro7.1 and the investigate data, the energy consumption of exploiting, transporting and processing raw sand are shown in Table. 2.
According to the statistical data of 2004 International Energy Council, if the solar energy is used to alternative the coke, the carbon emission would be reduced by 98%.
The results show that the new energy for the realization of energy saving and emission reduction is of great significance, and development of new energy and applications will be one of the most important research areas of low carbon manufacturing.
This research is designed to achieve low-carbon casting exploratory study, because most of the data from the statistical data, literature, software and on-site which lacks of uniform standards and values range, and the actual energy consumption of casting process is closely related to technological level of production, how to get reliable data basis for the calculation and carbon emission corresponding with realistic production system will be the focus of follow-up study.
According to the data base of Simpro7.1 and the investigate data, the energy consumption of exploiting, transporting and processing raw sand are shown in Table. 2.
According to the statistical data of 2004 International Energy Council, if the solar energy is used to alternative the coke, the carbon emission would be reduced by 98%.
The results show that the new energy for the realization of energy saving and emission reduction is of great significance, and development of new energy and applications will be one of the most important research areas of low carbon manufacturing.
This research is designed to achieve low-carbon casting exploratory study, because most of the data from the statistical data, literature, software and on-site which lacks of uniform standards and values range, and the actual energy consumption of casting process is closely related to technological level of production, how to get reliable data basis for the calculation and carbon emission corresponding with realistic production system will be the focus of follow-up study.
Online since: February 2015
Authors: Balazs Fekete, Peter Bereczki, Peter Trampus
The sampling frequency of strain, force and temperature data was set to 10 Hz.
Strain Based Evaluation of the Experimental Data.
Based on the Coffin-Manson model, the material parameters are shown in Table 4, which were obtained by fitting to the experimental data.
The calculation were carried out by the numerical integration of the strain-stress data (hysteresis curves) shown in Fig. 4.
The results were evaluated based on Coffin-Manson model and derived the parameters for both material, by curve fitting to the experimental data. 3.
Strain Based Evaluation of the Experimental Data.
Based on the Coffin-Manson model, the material parameters are shown in Table 4, which were obtained by fitting to the experimental data.
The calculation were carried out by the numerical integration of the strain-stress data (hysteresis curves) shown in Fig. 4.
The results were evaluated based on Coffin-Manson model and derived the parameters for both material, by curve fitting to the experimental data. 3.
Online since: January 2015
Authors: Xu Cao, Hua Xun Zhang
Introduction
A ecumenic image is comprised by substantive data and they have high correlation in these images.
In addition to generic image data also have other redundancy message, for example information entropy redundancy, structural redundancy, knowledge redundancy and visual redundancy.
Diversified method of image condensation Data compression is divided into reversible compression and irreversible compression. reversible compression is redundancy reduction, irreversible compression is entropy squeezing.
Data is regarded the combine of message and redundancy.
The loss compression methods of current medical image data contain adaptive predictive coding scheme, discrete cosine transform (DCT), sub-band coding and vector quantization (VQ).
In addition to generic image data also have other redundancy message, for example information entropy redundancy, structural redundancy, knowledge redundancy and visual redundancy.
Diversified method of image condensation Data compression is divided into reversible compression and irreversible compression. reversible compression is redundancy reduction, irreversible compression is entropy squeezing.
Data is regarded the combine of message and redundancy.
The loss compression methods of current medical image data contain adaptive predictive coding scheme, discrete cosine transform (DCT), sub-band coding and vector quantization (VQ).
Online since: September 2016
Authors: Janis Varna, Magnus Persson, Abdelghani Hajlane
Data were used to identify the development of damage, VP and VE in the 90-layer.
The damage effect is much smaller than the experimentally observed curvature reduction.
Irreversible VP shear strains are known to develop in composites [2] but there is not much data for transverse loading.
The data and the best fit with parameters B=0.018 and β=1.5 are shown in Fig. 3a.
Figure 3 Viscoelastic strains in [0,90] specimens after tensile loading: a) test data and fitting in the T+D+VP+VE case; b) VE-strain development in tensile loading.
The damage effect is much smaller than the experimentally observed curvature reduction.
Irreversible VP shear strains are known to develop in composites [2] but there is not much data for transverse loading.
The data and the best fit with parameters B=0.018 and β=1.5 are shown in Fig. 3a.
Figure 3 Viscoelastic strains in [0,90] specimens after tensile loading: a) test data and fitting in the T+D+VP+VE case; b) VE-strain development in tensile loading.
Online since: May 2004
Authors: António Sergio Pouzada, A.J. Pontes, A.M. Brito
This paper shows data on the ejection force of injection mouldings.
For each processing condition the ejection force was characterized by the average of the data from 5 consecutive mouldings.
The ejection force data for both materials as a function of the mould temperature are shown in the Fig. 3.
The experimental ejection force data for the tubular mouldings when the holding pressure is varied are shown in Fig. 4.
The ejection force data shown in the Fig.5 represents the effect of the cooling time for both materials.
For each processing condition the ejection force was characterized by the average of the data from 5 consecutive mouldings.
The ejection force data for both materials as a function of the mould temperature are shown in the Fig. 3.
The experimental ejection force data for the tubular mouldings when the holding pressure is varied are shown in Fig. 4.
The ejection force data shown in the Fig.5 represents the effect of the cooling time for both materials.
Online since: January 2017
Authors: Ashish V. Gohil, Jay Pujara, Kartik D. Kothari
The convergence graphs have been plotted in Minitab software to justify the reduction in iterations.
They have used ANOVA method for the analysis of the data and conclusion of results.
The next step is to calculate the data from the experiments by analysis and then measuring the different responses.
These mathematical relations are formed by using factorial fit analysis of the data from experimental work.
The output (response) data for MRR and Surface Roughness is shown in Table 3.
They have used ANOVA method for the analysis of the data and conclusion of results.
The next step is to calculate the data from the experiments by analysis and then measuring the different responses.
These mathematical relations are formed by using factorial fit analysis of the data from experimental work.
The output (response) data for MRR and Surface Roughness is shown in Table 3.
Online since: November 2010
Authors: Yuan Lin, Maio Wang, Xu Rui Xiao
With respect to the data given in Table 1, the
significant decreases in the values of both the ionic conductivity and apparent diffusion coefficient
of triiodide are observed in the electrolyte of PEO(750).
transfer resistance Rct of triiodide reduction according to the reaction Eq. 4 on the counter-electrode gives rise to improving the Jsc and FF.
The data on the DSCs with the conventional nanocrystalline TiO2 electrode is illustrated for comparison.
The stead-state voltammograms for the reduction of I3− in the Electrolyte A and Electrolyte B are depicted in Fig. 18.
The decreases in the conversion efficiency about 2.1 and 3.9% after heat- treatments at 100C for 30 and 120 min, respectively, are evaluated from the data listed in Table 3.
transfer resistance Rct of triiodide reduction according to the reaction Eq. 4 on the counter-electrode gives rise to improving the Jsc and FF.
The data on the DSCs with the conventional nanocrystalline TiO2 electrode is illustrated for comparison.
The stead-state voltammograms for the reduction of I3− in the Electrolyte A and Electrolyte B are depicted in Fig. 18.
The decreases in the conversion efficiency about 2.1 and 3.9% after heat- treatments at 100C for 30 and 120 min, respectively, are evaluated from the data listed in Table 3.
Online since: August 2011
Authors: Zhi Yong He, Qing Hua He, Shang Hong He
The research of hydraulic system anti-vibration and noise reduction
Zhiyong He 1,2,a , Qinghua He 2,b ,Shanghong He1,c
1College of Automobile and Mechanism Engineering,Changsha University of Science and Technology,Changsha 410076,China
2College of Mechanical and Electrical Engineering,Central South University,
Changsha 410083,China
aemail, hezhiyong73@sina.com, bemail, romberg@sina.com, cemail, hshong@sina.com,
Keywords: Pump circuit; pressure pulsations restraint; differential equation of vibration; coupling vibration; experimental research
Abstract.
The experiment data in table 1 shows that pressure pulsation ratio dropped from 3.32% to 0.67%.
Table 1 Experimental results: Test data and calculated value Pump speed n=1316 rpm Pump speed n=1437 rpm Index P1(MPa) Before filter P2(MPa) After filter P1(MPa) Before filter P2(MPa) After filter Max pressure 8.912 8.818 9.103 8.993 Min pressure 8.620 8.787 8.776 8.968 Average pressure 8.774 8.808 8.952 8.985 pressure pulsation ratio 3.32% 0.67% 3.65% 0.28% The experiment result in fig.4 shows that, when pump rotation speed is 1437rpm, the theoretical fundament frequency of pump pressure pulsation is 215.55 Hz, the noise and vibration frequency for pump eccentricity and unbalanced revolver is 23.95 Hz, as well as the measured valve respective is 216.3Hz and 23.75Hz which is consistent with theoretical valve.
The experiment data in table 1 shows that pressure pulsation ratio dropped from 3.65% to 0.28% which achieves a good filtering effect.
The experiment data in table 1 shows that pressure pulsation ratio dropped from 3.32% to 0.67%.
Table 1 Experimental results: Test data and calculated value Pump speed n=1316 rpm Pump speed n=1437 rpm Index P1(MPa) Before filter P2(MPa) After filter P1(MPa) Before filter P2(MPa) After filter Max pressure 8.912 8.818 9.103 8.993 Min pressure 8.620 8.787 8.776 8.968 Average pressure 8.774 8.808 8.952 8.985 pressure pulsation ratio 3.32% 0.67% 3.65% 0.28% The experiment result in fig.4 shows that, when pump rotation speed is 1437rpm, the theoretical fundament frequency of pump pressure pulsation is 215.55 Hz, the noise and vibration frequency for pump eccentricity and unbalanced revolver is 23.95 Hz, as well as the measured valve respective is 216.3Hz and 23.75Hz which is consistent with theoretical valve.
The experiment data in table 1 shows that pressure pulsation ratio dropped from 3.65% to 0.28% which achieves a good filtering effect.