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Online since: July 2015
Authors: Wibke Exner, Peter Wierach, Mark Opitz
Milling is carried out until no further particle size reduction is observed.
The nanocomposites are cured according to the technical data sheet for 75 min at 160 °C and for 120 min at 180°C.
In fact, the additional shrinkage reduction can be explained by the formation of an interphase between filler and epoxy resin [6].
The comparison of the experimental results with the theoretical calculations reveals a higher reduction of the CTE than expected.
The presented results show the reduction of chemical and thermal shrinkage due to the integration of nanoparticles.
The nanocomposites are cured according to the technical data sheet for 75 min at 160 °C and for 120 min at 180°C.
In fact, the additional shrinkage reduction can be explained by the formation of an interphase between filler and epoxy resin [6].
The comparison of the experimental results with the theoretical calculations reveals a higher reduction of the CTE than expected.
The presented results show the reduction of chemical and thermal shrinkage due to the integration of nanoparticles.
Online since: January 2018
Authors: Tomotaka Homae, Yoshio Nakayama, Tomoharu Matsumura, Kunihiko Wakabayashi, Yuta Sugiyama
The water reduces the peak overpressure outside, which agrees well with the experimental data.
This indicates that the development of shock wave mitigation techniques inside a tunnel is desirable for reduction of the extent of damage inside and outside a tunnel.
Because detailed data on the explosion phenomenon are required to clarify the mitigation mechanism, a numerical simulation would be a useful tool.
Lines and symbols denote data of the present simulations and the previous experiments [7], respectively.
The peak overpressures in the cases of 50-J explosions without water, and 130-J explosion with water shows good agreement, which indicates that the internal energy transfer of 80 J from air to water and the air volume reduction inside a tube directly mitigates the blast wave outside.
This indicates that the development of shock wave mitigation techniques inside a tunnel is desirable for reduction of the extent of damage inside and outside a tunnel.
Because detailed data on the explosion phenomenon are required to clarify the mitigation mechanism, a numerical simulation would be a useful tool.
Lines and symbols denote data of the present simulations and the previous experiments [7], respectively.
The peak overpressures in the cases of 50-J explosions without water, and 130-J explosion with water shows good agreement, which indicates that the internal energy transfer of 80 J from air to water and the air volume reduction inside a tube directly mitigates the blast wave outside.
Online since: January 2012
Authors: Yu Ping Hu, Xiao Ri Liu, Guo Xiang Li, Shuai Guo Lang, Na Liu
This paper established multi-body dynamic model of block-crankshaft system by method of finite element substructure and multi-body dynamics, and carried out the distribution of dynamic stress acting on the crankshaft in a working cycle and on this basis carried out the fatigue strength analysis, then received the fatigue safety coefficient and fatigue life data of each part of the crankshaft.
Finally, the fatigue safety coefficients and fatigue life data of each part of the crankshaft are achieved.
Define the main DOF nodes on the mesh model by the finite element software and conduct the dynamic condensation by substructure reduction method before proceeding the dynamic calculation.
Crankshaft Assembly FE Model Simulation Calculation The dynamic model is established by introducing the FE model file of crankshaft and block and the modal reduction file into dynamics calculation software.
In this study, the measured indicator diagram data obtained at the rated speed of 2300r/min is selected as load boundary condition.
Finally, the fatigue safety coefficients and fatigue life data of each part of the crankshaft are achieved.
Define the main DOF nodes on the mesh model by the finite element software and conduct the dynamic condensation by substructure reduction method before proceeding the dynamic calculation.
Crankshaft Assembly FE Model Simulation Calculation The dynamic model is established by introducing the FE model file of crankshaft and block and the modal reduction file into dynamics calculation software.
In this study, the measured indicator diagram data obtained at the rated speed of 2300r/min is selected as load boundary condition.
Online since: April 2015
Authors: Maizatul Shima Shaharun, Anis Suhaila Shuib, Azry Borhan, Mohd Faisal Taha
The equilibrium data from adsorption studies fitted well the of Langmuir and Freundlich isotherm models.
As expected, there was reduction in weight due to the lost of volatile matters during rapid heating of carbonization process [6].
The equilibrium data obtained was analyzed using Langmuir and Freundlich isotherms.
From the values of correlation coefficient (R2) shown in Figure 4, both isotherm models gave good fit for the equilibrium data of Ni2+ adsorption on RHAC.
The equilibrium data fitted well with Langmuir and Freundlich isotherm models for the adsorption of Ni2+ on RHAC.
As expected, there was reduction in weight due to the lost of volatile matters during rapid heating of carbonization process [6].
The equilibrium data obtained was analyzed using Langmuir and Freundlich isotherms.
From the values of correlation coefficient (R2) shown in Figure 4, both isotherm models gave good fit for the equilibrium data of Ni2+ adsorption on RHAC.
The equilibrium data fitted well with Langmuir and Freundlich isotherm models for the adsorption of Ni2+ on RHAC.
Online since: August 2013
Authors: Lin Zhu, Ji Lin Li
The software has integrated the CNC equipment work process, CAD/CAM, turning/milling program, system control programming, etc, using 3D simulation technology, and a lot of charts, data, explanations and exercises to presentation and training the novice.
Parameter selection below in this article: Permissible error δ=0.01mm, Initial step S=(50~100)δ, Reduction factor S1=0.8~0.99, Amplification factor S2=1~3.
(10) (11) The introduction of the DXF format If we want to use DXF files as interactive file, it must be clear that the structure of the data in the DXF file.
Fig.4 Input function and related parameters Software testing and data import Now we come to test the VB software.
First, open the VB program, Input function f(x)=(x*x*x)/30,x Interval is set to(0,20);Permissible error E =0.01mm;Initial step S=0.10mm;Reduction factor S1=0.9 Elongation factor S2=1.5,As shown in Figure 4.
Parameter selection below in this article: Permissible error δ=0.01mm, Initial step S=(50~100)δ, Reduction factor S1=0.8~0.99, Amplification factor S2=1~3.
(10) (11) The introduction of the DXF format If we want to use DXF files as interactive file, it must be clear that the structure of the data in the DXF file.
Fig.4 Input function and related parameters Software testing and data import Now we come to test the VB software.
First, open the VB program, Input function f(x)=(x*x*x)/30,x Interval is set to(0,20);Permissible error E =0.01mm;Initial step S=0.10mm;Reduction factor S1=0.9 Elongation factor S2=1.5,As shown in Figure 4.
Online since: October 2011
Authors: D. Azimi-Yancheshmeh, S. M. Mousavi, Ali Alavi-Shoushtari
This phtenomenon results in the reduction of a pump’s life and efficiency, vibration in framework, and exra noises [1,4,5].
The images showed the reduction of ferrite ratio through depth to surface.
According to the recorded data from table 1, the feed water quality did not have a significant difference from the manufacturer‘s prescribed analysis, except the Electro Conductivity and amount of Calcium and Silicon which were higher than the prescribed analysis.
The data, given in table 2, disclosed the lower corrosion rate for feed water, so resistance to corrosion for this alloy in feed water is in "well" category [8].
Table 1- Water analys COND (µEqg/lit) TH (ppb) PH Na (mg/lit) SiO2 (mg/lit) NH3 (mg/lit) O2 (mg/lit) Feed water 0.52 0.9 9 5< 16.7 808 5 prescribed water 0.3 Max 0.7 Max 9±1 5 Max 15 800 20 Table 2- Electrochemical data Corrosion rate ( mpy) ICorr ( µA) 2.859 6.237 Distilled water 1.466 3.197 Feed water More investigation by SEM in Figures 3 pointsed out the failure mechanisms of pump inner surface parts.
The images showed the reduction of ferrite ratio through depth to surface.
According to the recorded data from table 1, the feed water quality did not have a significant difference from the manufacturer‘s prescribed analysis, except the Electro Conductivity and amount of Calcium and Silicon which were higher than the prescribed analysis.
The data, given in table 2, disclosed the lower corrosion rate for feed water, so resistance to corrosion for this alloy in feed water is in "well" category [8].
Table 1- Water analys COND (µEqg/lit) TH (ppb) PH Na (mg/lit) SiO2 (mg/lit) NH3 (mg/lit) O2 (mg/lit) Feed water 0.52 0.9 9 5< 16.7 808 5 prescribed water 0.3 Max 0.7 Max 9±1 5 Max 15 800 20 Table 2- Electrochemical data Corrosion rate ( mpy) ICorr ( µA) 2.859 6.237 Distilled water 1.466 3.197 Feed water More investigation by SEM in Figures 3 pointsed out the failure mechanisms of pump inner surface parts.
Online since: February 2011
Authors: Jian Long Huang, Fan Yang
Despite the following limitations, difficulties in identifying entry parameters, lack of robustness and reliability in quantitative results and so on, FEM simulation can still be considered as a promising approach to the study of the cutting process, allowing the reduction of the experimental cost.
It can be seen from Fig 3 that water vapor cooling, causes a considerable temperature reduction of tool rake face in cutting process, demonstrates the effectiveness of water vapor cooling.
The simulation results show the same temperature trends with the experimental data [5].
The errors between simulation results and experimental data were from 3% to 12%.
The present simulation results showed a good agreement with the experimental data from other researchers.
It can be seen from Fig 3 that water vapor cooling, causes a considerable temperature reduction of tool rake face in cutting process, demonstrates the effectiveness of water vapor cooling.
The simulation results show the same temperature trends with the experimental data [5].
The errors between simulation results and experimental data were from 3% to 12%.
The present simulation results showed a good agreement with the experimental data from other researchers.
Online since: July 2014
Authors: Jie Shou
Introduction
From recently years’ college students’ physical health data, it can be known that their physique is in the drop tendency.
Fig.1 PDCA cycle 2.3 Principle Component Analysis The principle component analysis is a kind of statistic analysis that transforms many variables to a few principle components by applying the data dimensionality reduction technology.
It makes use of the linear combination method, and transforms many indexes into some typical comprehensive indexes based on losing fewer data information.
Table 1: Partial sample data standardization result table Sample No.
Summary This paper carried out research on college female students physical health feedback data to education department, focused analysis on weight and physical health other indicators correlation degree conditions and test value deviation judgments, studied different sources student physical health data differences.
Fig.1 PDCA cycle 2.3 Principle Component Analysis The principle component analysis is a kind of statistic analysis that transforms many variables to a few principle components by applying the data dimensionality reduction technology.
It makes use of the linear combination method, and transforms many indexes into some typical comprehensive indexes based on losing fewer data information.
Table 1: Partial sample data standardization result table Sample No.
Summary This paper carried out research on college female students physical health feedback data to education department, focused analysis on weight and physical health other indicators correlation degree conditions and test value deviation judgments, studied different sources student physical health data differences.
Online since: March 2011
Authors: Xiao Bin Li, De Rong Jiang
By using of which along with the theory of rough set in rule reduction of expert system, the development of CAPP system framework is basis of .net platform, utilizing Visual Studio 2003 to design the system interface and associated structured query language (SQL) allow distributed data processing and data access, which is supported by SQL Server 2000.
Online since: December 2013
Authors: Zahra Fakhroueian, Alireza Bahramian, Pouriya Esmaeilzadeh, Mohammad Nadafpour
These nanosalt fluids performed an excellent trend of surface tension and IFT reduction in comparison with distilled water too.
Results and Discussion SEM and XRD data of ZnO nanoparticles Fig. 1 shows typical SEM images of various ZnO nanostructure morphologies.
Table 2 shows the measured surface and interfacial tension data of the basic nanofluids.
Observed reduction of IFT is the result of the presence of nanoparticles at the interfacial layers.
The results of our experiments reveal that ZnO nanofluids have significant impact on reduction of surface tension and IFT.
Results and Discussion SEM and XRD data of ZnO nanoparticles Fig. 1 shows typical SEM images of various ZnO nanostructure morphologies.
Table 2 shows the measured surface and interfacial tension data of the basic nanofluids.
Observed reduction of IFT is the result of the presence of nanoparticles at the interfacial layers.
The results of our experiments reveal that ZnO nanofluids have significant impact on reduction of surface tension and IFT.