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Online since: February 2017
Authors: Xi Lu, Zheng Wen Yuan, Shu Min Zhu, Yong Neng Lu
Fig. 1 Test sample sketch
In this test, Q345 static strength data is given by MTS static tensile testing machine, and the fatigue strength data is given by Rama high-frequency fatigue testing machine.
(1) Where, b is sample width, h is the sample thickness, l is the span in three-point bending test (45mm is taken in this test), is the load amplitude, σ is the stress amplitude. 2.3.1 Fatigue test under the flame cutting process Based on the test data, the fatigue life of the sample under 340MPa, 360MPa and 350MPa are chosen for the S-N curve, which is shown in Fig. 5.
(3) 2.3.2 Fatigue test of ordinary Q345 Based on the experimental data, applying the least square fitting method, survival rate of the S-N curve of ordinary Q345 was obtained as 50%, and the S-N curve is shown in Fig. 6.
Fig. 6 S-N curve of Q345 Based on the test data, the S-N curve equation under the survival rate of 50% can be Fit as Eq. 4
(4) Based on the above test results, it can be found that the fatigue test data of Q345 is discrete, which is because that the material static and fatigue properties are unstable.
(1) Where, b is sample width, h is the sample thickness, l is the span in three-point bending test (45mm is taken in this test), is the load amplitude, σ is the stress amplitude. 2.3.1 Fatigue test under the flame cutting process Based on the test data, the fatigue life of the sample under 340MPa, 360MPa and 350MPa are chosen for the S-N curve, which is shown in Fig. 5.
(3) 2.3.2 Fatigue test of ordinary Q345 Based on the experimental data, applying the least square fitting method, survival rate of the S-N curve of ordinary Q345 was obtained as 50%, and the S-N curve is shown in Fig. 6.
Fig. 6 S-N curve of Q345 Based on the test data, the S-N curve equation under the survival rate of 50% can be Fit as Eq. 4
(4) Based on the above test results, it can be found that the fatigue test data of Q345 is discrete, which is because that the material static and fatigue properties are unstable.
Online since: February 2013
Authors: Hai Ying Zhang, Guo Xian Ma
Glass phases account for around 57%, which is conducive to reduction of energy in recycling of the ash.
It was done to provide data for thermal characterization of fly ash.
Content of glass phases reaches around 57%, which is conducive to reduction of energy in recycling of the ash.
Glass phases account for around 57%, which is conducive to reduction of energy in recycling of the ash.
It was done to provide data for thermal characterization of fly ash.
Content of glass phases reaches around 57%, which is conducive to reduction of energy in recycling of the ash.
Glass phases account for around 57%, which is conducive to reduction of energy in recycling of the ash.
Online since: June 2014
Authors: Venkatesan Rengarajan, Ezhilan Jayabal, Rajesh Rajendiran
Table 2 EDS Data for Nitrogen Doped Graphene Oxide (NGO)
EDS Data.
Table 1 EDS Data for Graphene Oxide (GO) Element Weight % Atom % C 63.68 70.02 N 00.00 00.00 O 36.32 29.98 Total 100 100 Element Weight % Atom % C 70.91 76.23 N 2.52 2.32 O 26.57 21.45 Total 100 100 Dielectric Properties Fig. 4 Dielectric Variation with Temperature for Graphene Oxide (GO) Fig. 3 Dielectric Variation with Temperature for Graphite (GR) The dielectric constant value of graphite (GR) and graphene oxide (GO) with the variation of temperature in the range of 30 °C - 270 °C is studied.
Woo, Electrochemical oxygen reduction on nitrogen doped graphene sheets in acid media, Electrochemistry Communications 12 (2010) 1052-1055
Xia, Synthesis of nitrogen doped graphene with high electrocatalytic activity toward oxygen reduction reaction, Electrochemistry Communications 28 (2013) 24-26
Hou, Electrocatalytic activity of nitrogen-doped graphene synthesized via a one-pot hydrothermal process towards oxygen reduction reaction, Journal of Power Sources 227 (2013) 185-190
Table 1 EDS Data for Graphene Oxide (GO) Element Weight % Atom % C 63.68 70.02 N 00.00 00.00 O 36.32 29.98 Total 100 100 Element Weight % Atom % C 70.91 76.23 N 2.52 2.32 O 26.57 21.45 Total 100 100 Dielectric Properties Fig. 4 Dielectric Variation with Temperature for Graphene Oxide (GO) Fig. 3 Dielectric Variation with Temperature for Graphite (GR) The dielectric constant value of graphite (GR) and graphene oxide (GO) with the variation of temperature in the range of 30 °C - 270 °C is studied.
Woo, Electrochemical oxygen reduction on nitrogen doped graphene sheets in acid media, Electrochemistry Communications 12 (2010) 1052-1055
Xia, Synthesis of nitrogen doped graphene with high electrocatalytic activity toward oxygen reduction reaction, Electrochemistry Communications 28 (2013) 24-26
Hou, Electrocatalytic activity of nitrogen-doped graphene synthesized via a one-pot hydrothermal process towards oxygen reduction reaction, Journal of Power Sources 227 (2013) 185-190
Online since: June 2015
Authors: Thierry Chassagne, Sandrine Juillaguet, Pawel Kwasnicki, Marcin Zielinski, Hervé Peyre, Roxana Arvinte, Adrien Michon, Marc Portail
Below, the reduction of carbon supply resulted in a decrease of film growth rate.
Thus, to simplify the data presentation, both C-V and SIMS results will be referred to as “dopant incorporation”.
Assuming a power-like regression [N]∝CSik, by fitting the experimental data we obtain the exponent k≈-4 and k≈-1.5 respectively on Si- and C-face.
The C/Si ratio was thus modified without a reduction of the deposition rate.
For this data series, the C/Si ratio was adjusted by changing the propane flow rate and, consequently, the growth rate decreased for low C/Si ratios.
Thus, to simplify the data presentation, both C-V and SIMS results will be referred to as “dopant incorporation”.
Assuming a power-like regression [N]∝CSik, by fitting the experimental data we obtain the exponent k≈-4 and k≈-1.5 respectively on Si- and C-face.
The C/Si ratio was thus modified without a reduction of the deposition rate.
For this data series, the C/Si ratio was adjusted by changing the propane flow rate and, consequently, the growth rate decreased for low C/Si ratios.
Online since: July 2014
Authors: Yi Hua Mao, Bing Xi Han
However, according to the statistics data, energy consumption per unit GDP in China is 2.2 times of the world average level [[]Zhanqiang Fang, Guanping Ren.
Energy conservation and emissions reduction in construction is significant for the sustainable development of China.
The data on energy consumption and carbon emission by machines is listed in Table 5.
Therefore, there is large potential in material and machine carbon reduction.
Recently, scholars have proposed new carbon reduction material to update the SGP.
Energy conservation and emissions reduction in construction is significant for the sustainable development of China.
The data on energy consumption and carbon emission by machines is listed in Table 5.
Therefore, there is large potential in material and machine carbon reduction.
Recently, scholars have proposed new carbon reduction material to update the SGP.
Online since: July 2013
Authors: Haakon Karlsen, Tao Dong
The analytical results are compared with the simulation data obtained from Finite Element Analysis, which employs compressible Navier-Stokes equations and heat equation.
The relative pressure and density as a function of initial temperature is displayed in Fig. 4 and shows how the maximum range decreases with increasing initial temperature (Included are also the relative pressure and density points from two additional minor simulations at different initial temperatures): Inlet density reduction arises from decompression due to the centrifugal force as explained in Equations and Boundaries section, and is dependent on the initial temperature and frequency through the a-parameter introduced in Eq. 5.
A reduced initial temperature and increased rotation frequency both indicate an increased centrifugal force, resulting in the reduction of initial density in Eq. 11.
Figure 5 a) Initial density reduction as function of initial temperature (with constant frequency of 3600 rad/s), b) Initial density reduction as function of frequency (with constant initial temperature of 293.15 K).
The initial state is affected by the rotation and the results from the investigation describe the relative reduction as function of the main operational parameters; initial temperature and rotational frequency.
The relative pressure and density as a function of initial temperature is displayed in Fig. 4 and shows how the maximum range decreases with increasing initial temperature (Included are also the relative pressure and density points from two additional minor simulations at different initial temperatures): Inlet density reduction arises from decompression due to the centrifugal force as explained in Equations and Boundaries section, and is dependent on the initial temperature and frequency through the a-parameter introduced in Eq. 5.
A reduced initial temperature and increased rotation frequency both indicate an increased centrifugal force, resulting in the reduction of initial density in Eq. 11.
Figure 5 a) Initial density reduction as function of initial temperature (with constant frequency of 3600 rad/s), b) Initial density reduction as function of frequency (with constant initial temperature of 293.15 K).
The initial state is affected by the rotation and the results from the investigation describe the relative reduction as function of the main operational parameters; initial temperature and rotational frequency.
Online since: February 2015
Authors: Xing Wu Cao
Then it is verified by real operational data of the capital airport under bad weather.
It proved that the model could be used to arrange for flights to alternate reasonably when a large hub airport encountered a severe airside capacity reduction.
A Case Study In this section the actual flights operation data of Capital Airport are used to simulate the above programming model.
Bad weather is the main reason of airport capacity reduction.
The following Table 1 lists the alternating statistical data of 20 alternative flights selected between 23:00 and 24:00 on November 27, which flew to the capital airport from all over the country.
It proved that the model could be used to arrange for flights to alternate reasonably when a large hub airport encountered a severe airside capacity reduction.
A Case Study In this section the actual flights operation data of Capital Airport are used to simulate the above programming model.
Bad weather is the main reason of airport capacity reduction.
The following Table 1 lists the alternating statistical data of 20 alternative flights selected between 23:00 and 24:00 on November 27, which flew to the capital airport from all over the country.
Online since: July 2011
Authors: Dong Dong Liu
Introduction
The optimization problem of load distribution in the finishing-mill rolling process is how to get a serious of data about the slab thickness hi; and the data will make the whole system state most optimal.
In general, the rolling schedule is a chart full of experiential data which people get from the load distribution of actual production[1].
The data relying on this method is reasonable, but not optimal.
Simulation We combined 470 rolling data to establish and 16 data to check up the predict thickness model.
So once checking data outputs, the model usually educes unreasonable error.
In general, the rolling schedule is a chart full of experiential data which people get from the load distribution of actual production[1].
The data relying on this method is reasonable, but not optimal.
Simulation We combined 470 rolling data to establish and 16 data to check up the predict thickness model.
So once checking data outputs, the model usually educes unreasonable error.
Online since: June 2018
Authors: Jakub Tkacz, Matěj Lédl, Lucie Galvánková, Tomáš Opravil, Denisa Beranová
Now, after introducing a selective non-catalytic reduction (SNCR) technology to coal combustion process, the fly ash contain ammonia in a form of soluble salts, such as NH4HSO4 and (NH4)2SO4, which causes problems during manufacturing the AAC.
Two major post-combustion technologies are used, selective catalytic reduction (SRC) and selective non-catalytic reduction (SNCR).
Data were collected using X-ray diffractometer Empyrean (Pananalytical) using Cu Kα radiation.
Schaffner, Selective Noncatalytic Reduction, in: The EPA Air Pollution Control Cost Manual, 2016, pp. 3-70
Two major post-combustion technologies are used, selective catalytic reduction (SRC) and selective non-catalytic reduction (SNCR).
Data were collected using X-ray diffractometer Empyrean (Pananalytical) using Cu Kα radiation.
Schaffner, Selective Noncatalytic Reduction, in: The EPA Air Pollution Control Cost Manual, 2016, pp. 3-70
Online since: July 2014
Authors: Jian Hua Sun, Hao Chen, Xiang Hua Xu, Chun Mei Yu
Privilege Separation in Browser Extensions Based on Web Workers
Chunmei Yu1,a, Jianhua Sun2,b , Hao Chen3,c, and Xianghua Xu4,d
1,2,3College of Information Science and Engineering, Hunan University, Changsha, China
4Zhejiang Provincial Key Lab of Data Storage and Transmission Technology, Hangzhou Dianzi University, China
alantianxia@hnu.edu.cn, bjhsun@aimlab.org,chaochen@aimlab.org,
Keywords: Privilege Separation, Web Workers
Abstract.
Our tests show that our design is applicable to most chrome extensions (those not using the jquery library) and achieves a reduction in TCB up to 77 percent for our examples.
In the two examples we measure (a) the reduction in TCB after using our architecture, (b) the amount of code need to be changed in order to retrofit the application, and (c) performance overheads (load latency, communication time, the interposition time by policies, and memory consumption).
Our evaluation shows that we can apply our architecture to most chrome applications and achieve significant reduction in TCB with no more than 18 lines of change for the chrome extensions we studied.
Acknowledgements This research was supported in part by the National Natural Science Foundation of China under grants 61272190 and 61173166, the Program for New Century Excellent Talents in University, the open research fund of Zhejiang Provincial Key Lab of Data Storage and Transmission Technology, Hangzhou Dianzi University(No. 201302) Reference [1] HTML5 living standard. http://www.whatwg.org/specs/web-apps/current-work/multipage/
Our tests show that our design is applicable to most chrome extensions (those not using the jquery library) and achieves a reduction in TCB up to 77 percent for our examples.
In the two examples we measure (a) the reduction in TCB after using our architecture, (b) the amount of code need to be changed in order to retrofit the application, and (c) performance overheads (load latency, communication time, the interposition time by policies, and memory consumption).
Our evaluation shows that we can apply our architecture to most chrome applications and achieve significant reduction in TCB with no more than 18 lines of change for the chrome extensions we studied.
Acknowledgements This research was supported in part by the National Natural Science Foundation of China under grants 61272190 and 61173166, the Program for New Century Excellent Talents in University, the open research fund of Zhejiang Provincial Key Lab of Data Storage and Transmission Technology, Hangzhou Dianzi University(No. 201302) Reference [1] HTML5 living standard. http://www.whatwg.org/specs/web-apps/current-work/multipage/