Sort by:
Publication Type:
Open access:
Publication Date:
Periodicals:
Search results
Online since: July 2011
Authors: Wang Fu, Li Ying Sun
Application of heat pump technology is a effective way to achieve energy saving and emission reduction.In order to propose the heat pump system suitable for marine air conditioning,this paper takes a bulk carrier as the research object,calculates the annual dynamic cool and heat loads of ship,proposes five kinds of cold and heat source optional schemes and selects the equipments.On this basis,five optional schemes are evaluated by using the method of AHP from the following aspects:economic, energy consumption, environment, weight and size.The result shows that comprehensive properties of adopting double stage coupling water source heat pump in ship are better than other schemes.
BIN method is a simplified energy consumption calculation method proposed by ASHRAE[4].According to the local meteorological parameters,we divide the outdoor dry bulb temperature at regular intervals,and add up the time the temperature interval typically occurs during the year or a period of time.In this paper, according to hourly weather data provided by Weather Tool software,2 °C temperature difference as a temperature interval,we average the BIN meteorological parameters of Tianjin and Dalian as BIN meteorological parameters of the ship,as shown in Table 1.
[6] L.O.Degelman,P.E.Bin Weather Data for Simplified Energy Calculations and Variable Base Degree-Day Information.ASHRAE Transactions.1985,91(1):3-13
BIN method is a simplified energy consumption calculation method proposed by ASHRAE[4].According to the local meteorological parameters,we divide the outdoor dry bulb temperature at regular intervals,and add up the time the temperature interval typically occurs during the year or a period of time.In this paper, according to hourly weather data provided by Weather Tool software,2 °C temperature difference as a temperature interval,we average the BIN meteorological parameters of Tianjin and Dalian as BIN meteorological parameters of the ship,as shown in Table 1.
[6] L.O.Degelman,P.E.Bin Weather Data for Simplified Energy Calculations and Variable Base Degree-Day Information.ASHRAE Transactions.1985,91(1):3-13
Online since: June 2013
Authors: Wen Yeuan Chung, Chung Huang Yu
In this study the reduction of the DOF is also analyzed for various legs added between the moving platform and the ground.
Table 1: Assigned data for three poses translation Rotation (deg) No X Y Z X Y Z 1 -1.00 5.00 3.00 5 -20 -95 2 -3.00 6.00 3.00 20 -15 -105 3 -4.00 6.00 3.00 30 -5 -110 Table 2: Coordinates for Three Points at Assigned Poses Pose 1 Pose 2 Pose 3 D (3.5503, 5.8604, 9.3682) (-0.2016, 6.2191, 10.3567) (-2.8614, 5.2393, 10.7540) E (-0.5611, 2.5865, 8.1944) (-4.1391, 3.4040, 7.9963) (-6.3103, 2.9680, 7.2976) F (-0.2906, 6.6780, 7.7625) (-3.4065, 7.4595, 7.8687) (-5.3915, 6.9544, 7.8117) The design of the S-R leg begins with freely assigning the pivot on the moving platform at :(0, 0, -1).
The data for the other solution are : (0.4411, -2.0387, -0.5050), :(0.9814, -0.1543, -0.1146) and =7.4256.
Table 1: Assigned data for three poses translation Rotation (deg) No X Y Z X Y Z 1 -1.00 5.00 3.00 5 -20 -95 2 -3.00 6.00 3.00 20 -15 -105 3 -4.00 6.00 3.00 30 -5 -110 Table 2: Coordinates for Three Points at Assigned Poses Pose 1 Pose 2 Pose 3 D (3.5503, 5.8604, 9.3682) (-0.2016, 6.2191, 10.3567) (-2.8614, 5.2393, 10.7540) E (-0.5611, 2.5865, 8.1944) (-4.1391, 3.4040, 7.9963) (-6.3103, 2.9680, 7.2976) F (-0.2906, 6.6780, 7.7625) (-3.4065, 7.4595, 7.8687) (-5.3915, 6.9544, 7.8117) The design of the S-R leg begins with freely assigning the pivot on the moving platform at :(0, 0, -1).
The data for the other solution are : (0.4411, -2.0387, -0.5050), :(0.9814, -0.1543, -0.1146) and =7.4256.
Online since: March 2007
Authors: Bernd Fischer, Jürgen Merker, David F. Lupton, Joerg Witte
In order to obtain materials data
necessary for the design of high temperature equipment and the numerical simulation of their
service performance the stress-rupture strength and creep behaviour have been investigated in a
temperature range between 1650°C and 2300°C.
For the design of equipment used at high temperatures and the numerical simulation of their service behaviour under industrial conditions it is necessary to have materials data on the stress-rupture strength and creep behaviour.
The measurements were carried out under a protective atmosphere (argon-hydrogen mixture) to prevent the evaporation of volatile oxides which would lead to a reduction in cross-section.
The measurement of stress-rupture strength and creep behaviour up to highest test temperatures was necessary to obtain materials data for the design of high temperature equipment and the numerical simulation of their service performance.
For the design of equipment used at high temperatures and the numerical simulation of their service behaviour under industrial conditions it is necessary to have materials data on the stress-rupture strength and creep behaviour.
The measurements were carried out under a protective atmosphere (argon-hydrogen mixture) to prevent the evaporation of volatile oxides which would lead to a reduction in cross-section.
The measurement of stress-rupture strength and creep behaviour up to highest test temperatures was necessary to obtain materials data for the design of high temperature equipment and the numerical simulation of their service performance.
Online since: January 2010
Authors: Manuel Carsí, Oscar Ruano, Felix Peñalba, Xabier Gómez, R. Allende
With these data
forming stability maps were generated to characterize the best forming conditions.
This not only reduces the costs but also help to meet the increasingly rigorous environmental requirements, especially the reduction of the emission of CO2 to the atmosphere [1].
The deformation data obtained from these tests were correlated by the following Garofalo equation using peak stresses: ( )[ ] 92.4 14 . 0098.0sinh107301.4 /398 exp σ ε x RT molkJ = (1) The stress exponent of 4.9 is close to that describing the slip creep behaviour of materials.
The high temperature data in the gamma region can be predicted by means of a Garofalo equation with a stress exponent of 4.9 and activation energy for deformation of 398 kJ/mol.
This not only reduces the costs but also help to meet the increasingly rigorous environmental requirements, especially the reduction of the emission of CO2 to the atmosphere [1].
The deformation data obtained from these tests were correlated by the following Garofalo equation using peak stresses: ( )[ ] 92.4 14 . 0098.0sinh107301.4 /398 exp σ ε x RT molkJ = (1) The stress exponent of 4.9 is close to that describing the slip creep behaviour of materials.
The high temperature data in the gamma region can be predicted by means of a Garofalo equation with a stress exponent of 4.9 and activation energy for deformation of 398 kJ/mol.
Online since: March 2011
Authors: Bo Wang, Yong Wei Wu, Wei Min Zheng
Each data package possesses a header which guides the receiver to take appropriate measure.
Data transferring is affected by switches or routers which locate among web cache, web server or clients.
When cache server possesses what clients request, the clients can directly acquire data without contacting the web sever.
The directive can be expired data, cache control or content-length.
This reflects that if the data element in heap can keep close relation with the users' visiting action.
Data transferring is affected by switches or routers which locate among web cache, web server or clients.
When cache server possesses what clients request, the clients can directly acquire data without contacting the web sever.
The directive can be expired data, cache control or content-length.
This reflects that if the data element in heap can keep close relation with the users' visiting action.
Online since: October 2007
Authors: Z. Horita, Terence G. Langdon, Cheng Xu
Experiments show that, depending
upon the magnitude of the imposed load, the reduction in disk thickness on application of the load is
of the order of <0.1 mm.
Inspection of Fig. 6 shows the results exhibit both a similarity and an important difference by comparison with the data recorded earlier in Figs. 2 and 5.
A disadvantage with the data shown in Figs 6 and 7 is that it provides hardness measurements only along a single linear traverse within each disk.
These data were then used to plot color-coded maps in which the various levels of hardness are denoted by different colors [20].
The results for the high-purity aluminum in Fig. 8 may be compared directly with earlier data reported for high-purity (99.99%) nickel [5].
Inspection of Fig. 6 shows the results exhibit both a similarity and an important difference by comparison with the data recorded earlier in Figs. 2 and 5.
A disadvantage with the data shown in Figs 6 and 7 is that it provides hardness measurements only along a single linear traverse within each disk.
These data were then used to plot color-coded maps in which the various levels of hardness are denoted by different colors [20].
The results for the high-purity aluminum in Fig. 8 may be compared directly with earlier data reported for high-purity (99.99%) nickel [5].
Online since: August 2017
Authors: Róbert Skapinyecz, Péter Tamás, Béla Illés, Péter Dobos
We have to discover the data types to be recorded and determine the requirements for data recording, as well as elaborate possible methods and procedures for evaluation and applications of the data.
These systems are able to collect data from their environment, and after analysing these data they are able to modify their positions.
- Big Data concept [4]: The amount of data in the world approximately doubles every two years [6], which results in huge amounts of data in the different areas of life (astronomy, logistics, trade, the stock exchange, etc.).
We cannot speak of cyber-physical systems and big data without IoT.
One consequence of collecting so-far unknown data is the need for implementing new data collecting equipment and online data transfer equipment.
These systems are able to collect data from their environment, and after analysing these data they are able to modify their positions.
- Big Data concept [4]: The amount of data in the world approximately doubles every two years [6], which results in huge amounts of data in the different areas of life (astronomy, logistics, trade, the stock exchange, etc.).
We cannot speak of cyber-physical systems and big data without IoT.
One consequence of collecting so-far unknown data is the need for implementing new data collecting equipment and online data transfer equipment.
Online since: September 2014
Authors: Hong Yu Qin
Introduction
With the reduction of natural resources and the development of detection techniques, the purity detection of gem has become the main research content of gem mining areas [1].
According to the above way, it is possible to extract the feature vectors of spectrum in the detection wave, and calculate the correlation coefficient between these characteristic parameters, so as to filter the unrelated information to the purpose of purity detection of gem, providing accurate data base for purity detection of gem.
The experimental environment are constituted by the embedded Window operating system, Labview simulation software, Java programming language, the signal transmitter, and the spatial data acquisition.
According to the above way, it is possible to extract the feature vectors of spectrum in the detection wave, and calculate the correlation coefficient between these characteristic parameters, so as to filter the unrelated information to the purpose of purity detection of gem, providing accurate data base for purity detection of gem.
The experimental environment are constituted by the embedded Window operating system, Labview simulation software, Java programming language, the signal transmitter, and the spatial data acquisition.
Online since: December 2012
Authors: Vijayaraghavan Venkatesh, Wong Chee How
At every stepwise reduction, the system is equilibrated for 5 ps after which the required data is extracted.
In our simulation study, we base our observations on the volume data instead of density and observe that volume minimum occurs at a temperature of 275 K (Fig. 3).
In our simulation study, we base our observations on the volume data instead of density and observe that volume minimum occurs at a temperature of 275 K (Fig. 3).
Online since: September 2013
Authors: Yi Fan Deng, Zhi Gang Wang
Literature [4] proposed a method that using the secondary star sensor to modify the primary star sensor output, but it only takes advantage of the data from secondary star sensor which compensate the lower accuracy of primary star sensor’s information, while other information is lost.
(8) Dealing with the star sensors’ observation model Star sensor’s output quaternion is obtained from the star sensor’s observation vector by data processing.
Superfin: Filtering Methods for Error Reduction in Spacecraft Attitude Estimation using Quaternion Star Trackers[C].
(8) Dealing with the star sensors’ observation model Star sensor’s output quaternion is obtained from the star sensor’s observation vector by data processing.
Superfin: Filtering Methods for Error Reduction in Spacecraft Attitude Estimation using Quaternion Star Trackers[C].