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Online since: February 2012
Authors: Shan Li, Rong Mo, Wei Du, Bo Li
He et al. propose a management model of design quality data based on characteristics to satisfy product design quality management [5].
The KCs state as the controlling data of KCs management would be changed according to the predefined rule to ensure the KCs information transfer accurately and quickly.
Based on workflow engine the KCs management system integrates an organization/role authorization module, a task list module of KCs and a KCs data center (including controlling data and application data).
KCs transformation is controlled by the controlling data from KCs data center and the process data template.
The data from various application systems are transformed in the XML information layer.
The KCs state as the controlling data of KCs management would be changed according to the predefined rule to ensure the KCs information transfer accurately and quickly.
Based on workflow engine the KCs management system integrates an organization/role authorization module, a task list module of KCs and a KCs data center (including controlling data and application data).
KCs transformation is controlled by the controlling data from KCs data center and the process data template.
The data from various application systems are transformed in the XML information layer.
Online since: September 2012
Authors: Li Min Tao, Yang Zhang
The shortcomings of the self-demodulation theory are pointed out after the comparison between the test data and the theoretical analysis results.
According to the above analysis, there is a contradiction between the increase of sound pressure of demodulated signals and the reduction of.
However, the test data in Table 1 shows that, the actual demodulated signals include not only the fundamental frequency and second harmonic, but also the third harmonic and fourth harmonic components.
Convert the test data and calculate the actual value ofaccording to the theoretical formulas.
According to the above analysis, there is a contradiction between the increase of sound pressure of demodulated signals and the reduction of.
However, the test data in Table 1 shows that, the actual demodulated signals include not only the fundamental frequency and second harmonic, but also the third harmonic and fourth harmonic components.
Convert the test data and calculate the actual value ofaccording to the theoretical formulas.
Online since: March 2011
Authors: Wen Fang Li, Xiang Yu Luo, Xue Li Jin
The average value of the statistic data of the three sections from the same sample can be deemed as the effective porosity of the material.
To study the pore structure in the porous sound-absorbing materials, the data of the unsaturated polyester resin should be collected.
From the comparison between the data in Tab. 4 and the curve of sound absorption coefficient in Fig. 3 it can be found that the sound absorption gradually increases with the decrease of the material's median pore diameter.
However, from the data in Tab. 4, it can be found that, when the aggregate is all coarse ceramsite, its effective porosity is higher than the sample with the 1:1 gradation of the coarse ceramsite and fine ceramsite but its sound absorption is lower, which might result from that, the larger median pore diameter in this sample generates relatively shorter routes in the material for the sound waves.
Acoustic Properties of Porous Pavement with Double Layers and Its Reduction Effects for Road Traffic Noise [J].
To study the pore structure in the porous sound-absorbing materials, the data of the unsaturated polyester resin should be collected.
From the comparison between the data in Tab. 4 and the curve of sound absorption coefficient in Fig. 3 it can be found that the sound absorption gradually increases with the decrease of the material's median pore diameter.
However, from the data in Tab. 4, it can be found that, when the aggregate is all coarse ceramsite, its effective porosity is higher than the sample with the 1:1 gradation of the coarse ceramsite and fine ceramsite but its sound absorption is lower, which might result from that, the larger median pore diameter in this sample generates relatively shorter routes in the material for the sound waves.
Acoustic Properties of Porous Pavement with Double Layers and Its Reduction Effects for Road Traffic Noise [J].
Online since: December 2013
Authors: Ming Chen, Xu Can Xu, Jin Fei Liu
However, the reduction or change of assumptions leads to complex computational formulas that are not convenient for engineering application.
Then the computational results from Ansys are compared with the experimental data from literature [3] and [5], which will prove the validity of the method presented above.
Finally, a set of formulas calculating equivalent elastic parameters of the regular hexagon honeycomb are presented according to a bunch of data from finite element analysis.
This conclusion contributes a lot to the reduction of the calculation in FEA software.
We fitted the calculated data points based on 5-order polynomial whose variable is T/L and obtained following formulas: (1) (2) (3) (4) (5) In the formulas presented above, is the elastic modulus of honeycomb material, and the material must be isotropic.
Then the computational results from Ansys are compared with the experimental data from literature [3] and [5], which will prove the validity of the method presented above.
Finally, a set of formulas calculating equivalent elastic parameters of the regular hexagon honeycomb are presented according to a bunch of data from finite element analysis.
This conclusion contributes a lot to the reduction of the calculation in FEA software.
We fitted the calculated data points based on 5-order polynomial whose variable is T/L and obtained following formulas: (1) (2) (3) (4) (5) In the formulas presented above, is the elastic modulus of honeycomb material, and the material must be isotropic.
Online since: July 2014
Authors: Song Gu, Zhi Zheng, Xiao Lei Chang, Zong Kai Wang, Zhou Ming Liao, Zhou Xian Liao
seven different aspect ratio and 3 different masonry materials models were respectively set up to analyze filler wall frame structure, and the test model section of column and beam and material parameters reference to test data of literature[10]. through calculation, equivalent width of diagonal brace under different calculation methods of different aspect ratio and masonry materials are shown in table 2.
Section size and material parameters are the same with the test data of literature[10].
Table 4 Filler frame and pure frame moment The top of the left column The bottom of the left column The top of the right column The bottom of the right column Pure frame 43.50 63.19 43.24 62.57 Diagonal bracing 24.09 35.19 23.94 34.84 Reduction ratio 80.6% 79.6% 80.6% 79.6% Note: The bending unit are all KN·m Table 5 Filler frame and pure frame shear Left column[KN] Right column[KN] Beam[KN] Pure frame 50.21 49.79 38.55 Diagonal bracing 27.90 27.67 21.35 Reduction ratio 80.0% 79.9% 80.6% Internal force analysis of the plastic stage.
The obtained load-displacement curve are compared with test data, as shown in figure 8.
Through the numerical simulation to extract the structure of the load displacement curve, as shown in figure 13, so as the sapect ratio of filler wall from high to low, the structure under the lateral limit load was reduced by 15.4% and 14.1% respectively, the yield load was reduced by 17.8% and 17.1%, this shows that fixed width, hight increase, the bending moment, bearing capacity is reduced.specific data are shown in table 8.
Section size and material parameters are the same with the test data of literature[10].
Table 4 Filler frame and pure frame moment The top of the left column The bottom of the left column The top of the right column The bottom of the right column Pure frame 43.50 63.19 43.24 62.57 Diagonal bracing 24.09 35.19 23.94 34.84 Reduction ratio 80.6% 79.6% 80.6% 79.6% Note: The bending unit are all KN·m Table 5 Filler frame and pure frame shear Left column[KN] Right column[KN] Beam[KN] Pure frame 50.21 49.79 38.55 Diagonal bracing 27.90 27.67 21.35 Reduction ratio 80.0% 79.9% 80.6% Internal force analysis of the plastic stage.
The obtained load-displacement curve are compared with test data, as shown in figure 8.
Through the numerical simulation to extract the structure of the load displacement curve, as shown in figure 13, so as the sapect ratio of filler wall from high to low, the structure under the lateral limit load was reduced by 15.4% and 14.1% respectively, the yield load was reduced by 17.8% and 17.1%, this shows that fixed width, hight increase, the bending moment, bearing capacity is reduced.specific data are shown in table 8.
Online since: July 2020
Authors: Nafisah Osman, Oskar Hasdinor Hassan, Montri Suklueng, Lidyayatty Abdul Malik, Shazana Mohd. Senari, Abdul Mutalib Md Jani
It will also enhance the mechanical strength of BCZY electrolyte during anode reduction and improve the adhesion of anode to BCZY electrolyte thin film.
ZIVE® Smart Manager™ software was used for data acquisition and analysis.
The resistance data obtained was used to calculate the ohmic and polarisation resistance after each of the responses was separated using an equivalent circuit model.
Four-point probe measurement was done using a conductivity meter (Mitsubishi Loresta – GX MCP T700) (Figure 2b) to obtain resistivity data of the button cell (Figure 2b inset).
Resistivity data obtained from four-point probe measurement that have been used to calculate activation energy (Ea) using Arrhenius equation and conductivity (S) of the button cell, respectively, was shown in Figure 4b.
ZIVE® Smart Manager™ software was used for data acquisition and analysis.
The resistance data obtained was used to calculate the ohmic and polarisation resistance after each of the responses was separated using an equivalent circuit model.
Four-point probe measurement was done using a conductivity meter (Mitsubishi Loresta – GX MCP T700) (Figure 2b) to obtain resistivity data of the button cell (Figure 2b inset).
Resistivity data obtained from four-point probe measurement that have been used to calculate activation energy (Ea) using Arrhenius equation and conductivity (S) of the button cell, respectively, was shown in Figure 4b.
Online since: September 2020
Authors: Vasiliy Smirnov, Denis Emelyanov, Alexander Matvievsky, Sergey Khutorskoy
The data presented indicate the prospects of using magnetic and electrochemical water treatment in the preparation of concrete, although in some cases, for unclear reasons, the expected effect on the production was not achieved for example, the known methods for the concrete activation using bacteria [10-12].
All activation modes, with the exception of 1 - 1, contribute to the reduction of the composites’ growth on quicklime to 0 points.
From the data obtained it follows that calcareous composites on activated mixing water treated by the combined action of an electric current and a magnetic field under certain conditions, are more durable and have greater surface hardness.
The data on the microbial growth of calcareous composites based on quicklime and slaked lime are obtained.
All activation modes, with the exception of 1 - 1, contribute to the reduction of the composites’ growth on quicklime to 0 points.
All activation modes, with the exception of 1 - 1, contribute to the reduction of the composites’ growth on quicklime to 0 points.
From the data obtained it follows that calcareous composites on activated mixing water treated by the combined action of an electric current and a magnetic field under certain conditions, are more durable and have greater surface hardness.
The data on the microbial growth of calcareous composites based on quicklime and slaked lime are obtained.
All activation modes, with the exception of 1 - 1, contribute to the reduction of the composites’ growth on quicklime to 0 points.
Online since: December 2023
Authors: Matthias Schmidtchen, Ulrich Prahl, Max Weiner, Christoph Renzing, Max Stirl
Presetting of Roll Pass Schedule - Backward Calculations
The preliminary design of the required roll pass schedule is mainly done automatically using several
sub-modules: Roll pass developer- for the initial design based on empirical data and guidelines; Roll
pass calculation - PyRolL - computation of roll pass data; Roll pass and groove optimization using a
constraint nonlinear programming algorithm, Figure 1.
For modern numerical roll pass calculations, these experimental data gain the additional value as a starting function or constraint for more complex optimization procedures.
bpi bpi−1 = f �vW, Dam hki , bpi−1 hpi−1, hki hpi−1� (15) Api−1 Aki = g �vW, Dam hki , bpi−1 hpi−1, hki hpi−1� (16) tan αm ≤ µ (17) cos αm = 1 − ∆h Dam = 1 − hmi−1 − hmi DW − hmi (18) Finally an assumption is needed for the reduction per pass.
The height reduction is given by Equation 19 with a = 0.759 and b = 0.293 in the range 0.3 ≥ hki/bkni ≥ 0.7 below this range the function takes the constant value 0.533, above the value is 0.675.hki hpi−1 = a � hki bkni�b (19) In the reverse engineering process, the initial aim is to achieve an average degree of elongation distribution, from which the actual degree of elongation distribution is optimized in an iterative process with regard to geometrical, tribological, material properties and system conditions.
For modern numerical roll pass calculations, these experimental data gain the additional value as a starting function or constraint for more complex optimization calculations.
For modern numerical roll pass calculations, these experimental data gain the additional value as a starting function or constraint for more complex optimization procedures.
bpi bpi−1 = f �vW, Dam hki , bpi−1 hpi−1, hki hpi−1� (15) Api−1 Aki = g �vW, Dam hki , bpi−1 hpi−1, hki hpi−1� (16) tan αm ≤ µ (17) cos αm = 1 − ∆h Dam = 1 − hmi−1 − hmi DW − hmi (18) Finally an assumption is needed for the reduction per pass.
The height reduction is given by Equation 19 with a = 0.759 and b = 0.293 in the range 0.3 ≥ hki/bkni ≥ 0.7 below this range the function takes the constant value 0.533, above the value is 0.675.hki hpi−1 = a � hki bkni�b (19) In the reverse engineering process, the initial aim is to achieve an average degree of elongation distribution, from which the actual degree of elongation distribution is optimized in an iterative process with regard to geometrical, tribological, material properties and system conditions.
For modern numerical roll pass calculations, these experimental data gain the additional value as a starting function or constraint for more complex optimization calculations.
Online since: September 2008
Authors: Li Bo Zhou, Jun Shimizu, Hiroshi Eda, Sumio Kamiya, Hisao Iwase, J. Sasaki, B.H. Soltani, Takahito Mitsuta, Y.B. Tian, Y. Tashiro, T. Tsuruga
The
hybrid vehicle and fuel-cell vehicle provide our motorized society a promising solution of
improvement in fuel consumption and reduction in CO2 emission.
The test data of DOE for CMG wheel specification are shown in Table 6.
Test data of DOE for CMG wheel specification Bonding agent (X1) Additives (X2) Geometry (X3) MRR (nm/min) 1 1 1 30.08 1 1 2 27.29 1 2 1 24.98 1 2 2 0.79 2 1 1 22.43 2 1 2 24.44 2 2 1 21.83 2 2 2 3.84 Level 1of additives and wheel geometry are much better than that at Level 2 while MRR at Level 2 of the interaction between additives and wheel geometry are higher than that at Level 1.
The test data of DOE for optimal combination grinding parameters are listed in Table 8.
Test data of DOE for optimal combination grinding parameter Wheel revolution (Y1) Grinding pressure (Y2) Grinding fluid (Y3) MRR (nm/min) 1 1 1 11.45 1 1 2 18.26 1 2 1 21.80 1 2 2 29.42 2 1 1 20.65 2 1 2 43.24 2 2 1 53.48 2 2 2 67.74 Table 9.
The test data of DOE for CMG wheel specification are shown in Table 6.
Test data of DOE for CMG wheel specification Bonding agent (X1) Additives (X2) Geometry (X3) MRR (nm/min) 1 1 1 30.08 1 1 2 27.29 1 2 1 24.98 1 2 2 0.79 2 1 1 22.43 2 1 2 24.44 2 2 1 21.83 2 2 2 3.84 Level 1of additives and wheel geometry are much better than that at Level 2 while MRR at Level 2 of the interaction between additives and wheel geometry are higher than that at Level 1.
The test data of DOE for optimal combination grinding parameters are listed in Table 8.
Test data of DOE for optimal combination grinding parameter Wheel revolution (Y1) Grinding pressure (Y2) Grinding fluid (Y3) MRR (nm/min) 1 1 1 11.45 1 1 2 18.26 1 2 1 21.80 1 2 2 29.42 2 1 1 20.65 2 1 2 43.24 2 2 1 53.48 2 2 2 67.74 Table 9.
Online since: April 2020
Authors: Yuriy Sharkeev, Egor Ibragimov, Natalya Saprykina, Alexandr Saprykin
Research data are relevant for the theory of SLM manufacturing high-quality products.
The data of experiments show SLM parameters have a strong effect on the surface structure.
Comparing the data on cobalt-chromium-molybdenum composition surfaces, we found out that a scanning pitch increase results in reduction of coagulation, roughness, and thickness of the sintered layer.
Figure 5 compares data on physical configuration of Со28Cr3Mo surfaces at various preheating temperatures of powdered material.
The reduction of oxygen decreases oxidation of materials; lowers the formation of particles of different shapes, and pollution.
The data of experiments show SLM parameters have a strong effect on the surface structure.
Comparing the data on cobalt-chromium-molybdenum composition surfaces, we found out that a scanning pitch increase results in reduction of coagulation, roughness, and thickness of the sintered layer.
Figure 5 compares data on physical configuration of Со28Cr3Mo surfaces at various preheating temperatures of powdered material.
The reduction of oxygen decreases oxidation of materials; lowers the formation of particles of different shapes, and pollution.