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Online since: October 2004
Authors: N. Dewobroto, Nathalie Bozzolo, Pierre Barbéris, Francis Wagner
ODF's (Orientation Distribution Function), were computed either from X-ray
pole figures or from EBSD individual orientation data sets by using the harmonic method.
The sheet was cold rolled with a laboratory rolling mill up to a final thickness reduction of 80% (corresponding true strain ε=1.61).
After 80% of thickness reduction, the texture of cold rolled Zr702 is characterized by a broad peak centered at {ϕ1=0°, Φ=30°, ϕ2=0} visible in the ϕ1=0° ODF section in Fig. 1.a.
In Fig.2.b the raw map has been filtered (neighbourhood orientations have been affected to notindexed data points) in order to visualise misorientations between indexed pixels.
The band contrast of not-indexed data points is always very low.a) 10 mm NDRD C m B m A m RD DT b) RD DT Figure 3.
The sheet was cold rolled with a laboratory rolling mill up to a final thickness reduction of 80% (corresponding true strain ε=1.61).
After 80% of thickness reduction, the texture of cold rolled Zr702 is characterized by a broad peak centered at {ϕ1=0°, Φ=30°, ϕ2=0} visible in the ϕ1=0° ODF section in Fig. 1.a.
In Fig.2.b the raw map has been filtered (neighbourhood orientations have been affected to notindexed data points) in order to visualise misorientations between indexed pixels.
The band contrast of not-indexed data points is always very low.a) 10 mm NDRD C m B m A m RD DT b) RD DT Figure 3.
Online since: May 2012
Authors: Jin Wang, Min Li, Wei Heng Yan
Recently, these have been studied by many scholars at home and abroad[4-8], but the complete CO2 capture data of long-running power plant is absent, and most of the datum are from different systems and part of the datum are assumed which maybe exists a big deviation to the actual situation.
For more than one year operating, a number of reliable data are accessed, which lays a solid foundation for research.
Power plant is equipped with selective catalytic reduction (SCR) de-NOx system, electrostatic dust removal system and limestone-gypsum wet desulphurization system. 1.
Though the scale of carbon capture demonstration project in Gao Bei-dian plant is small, it greatly promotes the development of carbon emission reduction.
The Second Power Plant of Shanghai Shi Dong-kou which operated in late 2009 is the actual carbon capture engineering application, and it plays an important role in carbon reduction work in China.
For more than one year operating, a number of reliable data are accessed, which lays a solid foundation for research.
Power plant is equipped with selective catalytic reduction (SCR) de-NOx system, electrostatic dust removal system and limestone-gypsum wet desulphurization system. 1.
Though the scale of carbon capture demonstration project in Gao Bei-dian plant is small, it greatly promotes the development of carbon emission reduction.
The Second Power Plant of Shanghai Shi Dong-kou which operated in late 2009 is the actual carbon capture engineering application, and it plays an important role in carbon reduction work in China.
Online since: March 2015
Authors: Yong Li Li, Feng Long Zhang, Fu Li Qi, Yu Chun Bai, Meng Cai Zhang, Yi Liang Wang, Hui Jin
To eliminate any effect of drilling operation on the surrounding soil and obtain stable, correct original temperature and thermophysical parameters of subsurface soil, both buried tube thermal exchange wells were left undisturbed for 72h before the test started.
1.3 Testing apparatus and process
A rock-soil thermophysical testing apparatus consisting of a stainless steel electric heating insulated water tank, a circulating water pump, a stainless steel pipe system, a power distribution system, a flow sensor, temperature sensors, a power transmitter and a data acquisition unit integrated on a bench was used for the test as shown in Fig. 1.
1.
Temperature data during the test was automatically acquired to the precision of three digits after the decimal point.
Fig. 2 shows the temperature data of the local rock-soil body in this area.
The equivalent coal reduction to the heat so derived is 3.7×1010J.
The coal reduction, in turn, will result in reduction of CO2 emission by 1.12×1010t, SO2 emission by 7.99×107t, Nox emission by 2.82×107t, suspended dust emission by 3.76×197t and solid coal ash emission by 4.7×106t.
Temperature data during the test was automatically acquired to the precision of three digits after the decimal point.
Fig. 2 shows the temperature data of the local rock-soil body in this area.
The equivalent coal reduction to the heat so derived is 3.7×1010J.
The coal reduction, in turn, will result in reduction of CO2 emission by 1.12×1010t, SO2 emission by 7.99×107t, Nox emission by 2.82×107t, suspended dust emission by 3.76×197t and solid coal ash emission by 4.7×106t.
Online since: April 2024
Authors: Rasim Bashirov, Oyrad Abdullayev
.-25, Az-1073, Baku
2Caspian Sea Transport Project and Scientific Research Institute, Ziya Usifzade Street 48,
Az-1003, Baku
arasim_agma@aztu.edu.az, boyrad.abdullayev@asco.az
Keywords: subsea work, supply vessel, diving vessel, technology equipment, technology complex, data base, apparatus, efficiency of a research, scientific efficiency
Abstract: The main technological equipment of subsea construction vessel is diving complexes and hardware, in various combinations thereof.
It is proposed to link the task of classifying vessels of this class with the classification of the subsea equipment they serve, in order to form the basic data of a perspective vessel.
The block diagram of use of hardware and complexes on the subsea construction vessels Thus, for the purpose of reduction of idle times in use of the vessel, it is necessary to provide the following additional equipment and design features in the list of the equipment: - Cargo deck; - Living rooms for staff; - Store for technology equipment; - Lifting gears; - Hangar for hardware (ROV, AOV & MS); - Hardware charging post; - Hardware navigation system.
Using a formula (1) and data of Manual [2 p.12], level of scientific effect of a research with the received value was calculated – 7.75.
It is proposed to link the task of classifying vessels of this class with the classification of the subsea equipment they serve, in order to form the basic data of a perspective vessel.
The block diagram of use of hardware and complexes on the subsea construction vessels Thus, for the purpose of reduction of idle times in use of the vessel, it is necessary to provide the following additional equipment and design features in the list of the equipment: - Cargo deck; - Living rooms for staff; - Store for technology equipment; - Lifting gears; - Hangar for hardware (ROV, AOV & MS); - Hardware charging post; - Hardware navigation system.
Using a formula (1) and data of Manual [2 p.12], level of scientific effect of a research with the received value was calculated – 7.75.
Online since: June 2012
Authors: Guang Zhang, Xi Lun Wang, Yu Ning Zhang, Xin Hui Cao
Introduction
On the background of energy policy promotion about the reduction of energy consumption and pollutants discharging from China, methods of energy saving and consumption reducing have always been focused.
Then we can finally reach the goal of energy saving and consumption reduction.
Take heating coefficient of performance of AHP (COPh ) as 1.7, by calculation on variable working conditions of the unit [5], we can know data of Qh, Btp, Pe and Qh of the two ways.
Take the data into equation (1), we can obtain ηtp, under equal steam extraction pressure (Pt) and steam extraction quantity (Dt), the comparison of the ηtp is shown in Fig.2.
Then we can finally reach the goal of energy saving and consumption reduction.
Take heating coefficient of performance of AHP (COPh ) as 1.7, by calculation on variable working conditions of the unit [5], we can know data of Qh, Btp, Pe and Qh of the two ways.
Take the data into equation (1), we can obtain ηtp, under equal steam extraction pressure (Pt) and steam extraction quantity (Dt), the comparison of the ηtp is shown in Fig.2.
Online since: December 2014
Authors: Jin Meng, Xiao Jun Liu
By high temperature incineration, the pathogens and other harmful in sludge substances are completely eliminated, and sludge can reach to 90% of the reduction and maximum harmless with large daily processing capacity.[1]
Sheng he-tai, based on a failure cases of sludge treatment plant, says the risk of sludge treatment projects of BOT model for private enterprises is mainly the limited public sector coordination, expense, project changes, technology innovation and process control, cost calculations.[2] Zhou stressed the public opinion risk group caused by improper siting of waste incineration plant, especially on sewage sludge incineration project[3].
The Concession period is from 1 January 2013 until 31 December 2042, Sludge processing service fee is 696.81 yuan / ton. 3.2 Construction of the fault tree Figure 1 A sludge treatment plant sludge incineration project fault tree Table 2 Events of the fault tree table A2 Enterprise Financial Risk X4 Governmentre strictions on project implementation X18 market Competition risk A3 Construction risks X5 Project approval delay X19 Supporting and road transport imperfect A4 Market Risk X6 The project site risk X20 No ash handling solutions A5 Operational risk X7 Project-based data distortion risk X21 Water and electricity supporting imperfect B1 Policy risks X8 Corporate capital retrun untimely X22 Public conflict risk caused by the stench of other pollutants B2 Credit Risk X9 Changes in shareholders' equity X23 Sludge volume reduction ineffective B3 Decision risk X10 Bank financing is difficult X24 Emissions of non-compliance B4 Design risk X11 Construction period risks X25 Low use
By collating and analyzing the data, obtained average fuzzy probability of all managers and employees for any risk of accidents.
The Concession period is from 1 January 2013 until 31 December 2042, Sludge processing service fee is 696.81 yuan / ton. 3.2 Construction of the fault tree Figure 1 A sludge treatment plant sludge incineration project fault tree Table 2 Events of the fault tree table A2 Enterprise Financial Risk X4 Governmentre strictions on project implementation X18 market Competition risk A3 Construction risks X5 Project approval delay X19 Supporting and road transport imperfect A4 Market Risk X6 The project site risk X20 No ash handling solutions A5 Operational risk X7 Project-based data distortion risk X21 Water and electricity supporting imperfect B1 Policy risks X8 Corporate capital retrun untimely X22 Public conflict risk caused by the stench of other pollutants B2 Credit Risk X9 Changes in shareholders' equity X23 Sludge volume reduction ineffective B3 Decision risk X10 Bank financing is difficult X24 Emissions of non-compliance B4 Design risk X11 Construction period risks X25 Low use
By collating and analyzing the data, obtained average fuzzy probability of all managers and employees for any risk of accidents.
Online since: January 2005
Authors: Ke Lu
Strength and ductility
For nanostructured pure metals such as Cu and Ni, experimental data showed that their
strength and hardness increase with a reduction of grain size down into the nanometer
regime following the classical Hall-Petch relationship.
The measured data for the electrodeposited pure Cu with nano-scale twins are also included [2]. 3.
And the degree of superheating increases with a reduction of particle size in the d -1 rule [3].
The measured data for the electrodeposited pure Cu with nano-scale twins are also included [2]. 3.
And the degree of superheating increases with a reduction of particle size in the d -1 rule [3].
Online since: May 2014
Authors: Min He, Juan Juan Jin, Peng Liu
The uncertainty of data management technology [J].
Effectively clustering algorithm based on probabilistic data stream [J].
The reduction clustering algorithm of approximate backbone guided [J].
The reduction clustering algorithm of approximate backbone guided [J].
Effectively clustering algorithm based on probabilistic data stream [J].
The reduction clustering algorithm of approximate backbone guided [J].
The reduction clustering algorithm of approximate backbone guided [J].
Online since: October 2013
Authors: Shao Bo Liu
China's development plan on energy reduction targets three northeastern provinces, where 17% of Liaoning province, Jilin and Heilongjiang is 16% in Twelfth Five-Year.
Data Sources The GDP data is adopted from China Statistical Yearbook.
The energy consumption data is adopted by Liaoning Yearbook, Jilin Yearbook, Heilongjiang Yearbook, China Yearbook and China Energy Statistical Yearbook.
Calculation of Carbon Emissions The method is used in the Intergovernmental Panel on Climate Change (IPCC) carbon emission calculation methods in this article, with each energy carbon emission factor and combined with the query data from 1995 to 2010 in Liaoning, Jilin and Heilongjiang carbon consumptions to calculate carbon emissions.
According to data collected about the three northeastern provinces of the over the years energy consumption as (a)-(j) shown in Figure 1, the three northeastern provinces carbon emission intensity of over the years as k shown in Figure 1.
Data Sources The GDP data is adopted from China Statistical Yearbook.
The energy consumption data is adopted by Liaoning Yearbook, Jilin Yearbook, Heilongjiang Yearbook, China Yearbook and China Energy Statistical Yearbook.
Calculation of Carbon Emissions The method is used in the Intergovernmental Panel on Climate Change (IPCC) carbon emission calculation methods in this article, with each energy carbon emission factor and combined with the query data from 1995 to 2010 in Liaoning, Jilin and Heilongjiang carbon consumptions to calculate carbon emissions.
According to data collected about the three northeastern provinces of the over the years energy consumption as (a)-(j) shown in Figure 1, the three northeastern provinces carbon emission intensity of over the years as k shown in Figure 1.
Online since: October 2009
Authors: Charalamos A. Londos, Gagik A. Oganesyan, Valentin V. Emtsev, H. Ohyama, Andrzej Misiuk, A. Andrianakis
Thermal treatments at 1000
o
C result in a reduction of the production rate
of the VO defect.
As it is observed from Fig.5 and the data cited in Table I, the concentration of the defect is decreased in the HT sample at 1000 o C in comparison with that of the untreated one, although the concentration of VO increases when pressure is applied taking a value practically equal to that of the untreated sample.
The application of pressure at 1130 o C allows conditions at the interface that increase the availability of SiI's in the course of irradiation, leading to a reduction of the VO production (Fig.6).
Thus enhancement of the second reaction entails a reduction in the production of the VO2 defect.
Our data suggest that the release of SiI's from the Si/SiOx interface affects the production of the VO defect.
As it is observed from Fig.5 and the data cited in Table I, the concentration of the defect is decreased in the HT sample at 1000 o C in comparison with that of the untreated one, although the concentration of VO increases when pressure is applied taking a value practically equal to that of the untreated sample.
The application of pressure at 1130 o C allows conditions at the interface that increase the availability of SiI's in the course of irradiation, leading to a reduction of the VO production (Fig.6).
Thus enhancement of the second reaction entails a reduction in the production of the VO2 defect.
Our data suggest that the release of SiI's from the Si/SiOx interface affects the production of the VO defect.