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Online since: June 2010
Authors: Bing Yang, Yong Xiang Zhao
Test S-N data are given in Table 1.
Table 1 Test S-N data of the four groups of specimens.
Similar to the measurements for scattered S-� data [17], a probabilistic modeling for considering the scattered test Aeff-KN data under KN following lognormal distribution as effavavavN, lg lg AVUK += ; effrms rms rmsN, lg lg AVUK += ; eff N, lg lg AVUK CPCPCP −− − += (7) ( ) [ ] rmso1 av 1 UntZUU CP CP −+−= −− ; ( ) [ ] rmso1 av 1 VntZVV CP CP −+−= −− (8) Similarly, Uav、Vav、Urms and Vrms are basic material constants, which should be evaluated using the former two terms of Eq. (7) fitting into the lgAeffi-lgKN,avi data and lgAeffi-lgKN,rmsi data, respectively.
These data are given in Table 3.
Appropriate measurements have been given for the test data.
Table 1 Test S-N data of the four groups of specimens.
Similar to the measurements for scattered S-� data [17], a probabilistic modeling for considering the scattered test Aeff-KN data under KN following lognormal distribution as effavavavN, lg lg AVUK += ; effrms rms rmsN, lg lg AVUK += ; eff N, lg lg AVUK CPCPCP −− − += (7) ( ) [ ] rmso1 av 1 UntZUU CP CP −+−= −− ; ( ) [ ] rmso1 av 1 VntZVV CP CP −+−= −− (8) Similarly, Uav、Vav、Urms and Vrms are basic material constants, which should be evaluated using the former two terms of Eq. (7) fitting into the lgAeffi-lgKN,avi data and lgAeffi-lgKN,rmsi data, respectively.
These data are given in Table 3.
Appropriate measurements have been given for the test data.
Online since: November 2015
Authors: Sven Kreitlein, Jörg Franke, Franziska Schäfer, Markus Brandmeier
Therefore, ontologies improve upon data models, which are mainly used for single applications.
Unlike knowledge representation with lists or databases, ontologies imply hierarchies and are able to describe characteristics and features as well as relations among concepts or data sets.
Phase 2: Data acquisition, situation analysis, problem description and target analysis (UK).
Therefore, the user has to determine the objectives, e.g. the reduction of energy intake per unit produced, the overall energy intake, the reduction of current peaks, etc.
Fensel, “Knowledge engineering: Principles and methods,” Data & Knowledge Engineering, vol. 25, no. 1-2, pp. 161–197, 1998
Unlike knowledge representation with lists or databases, ontologies imply hierarchies and are able to describe characteristics and features as well as relations among concepts or data sets.
Phase 2: Data acquisition, situation analysis, problem description and target analysis (UK).
Therefore, the user has to determine the objectives, e.g. the reduction of energy intake per unit produced, the overall energy intake, the reduction of current peaks, etc.
Fensel, “Knowledge engineering: Principles and methods,” Data & Knowledge Engineering, vol. 25, no. 1-2, pp. 161–197, 1998
Online since: September 2008
Authors: I. Ozsert, M. Durat, E. Nart, Ramazan Kayikci
In this study, using materials thermo-physical data and CAD/CAE techniques the thermal
fatigue life of a permanent mould is estimated. 3D solid models of the mould-casting system
consisted of a permanent mould made from grade 60 ductile iron and an aluminium 7% Si, 0.3 %
Mg Casting alloy (A356) were constructed in a CAD system.
If the design life (expected life) of a PM is not achieved in the service life (due to early failure for example) the benefit expected from the cost reduction of PM casting will diminish.
ANSYS FEA software has been utilized for a cyclic thermal analysis by employing APDL (Ansys Parametric Data Language).
Fig. 6 Equivalent Stresses on Selected Nodes Fig. 7 Equivalent Strains on Selected Nodes Conclusions In this study, using materials thermo-physical data and CAD/CAE techniques the thermal fatigue life of a permanent mould is estimated.
If the design life (expected life) of a PM is not achieved in the service life (due to early failure for example) the benefit expected from the cost reduction of PM casting will diminish.
ANSYS FEA software has been utilized for a cyclic thermal analysis by employing APDL (Ansys Parametric Data Language).
Fig. 6 Equivalent Stresses on Selected Nodes Fig. 7 Equivalent Strains on Selected Nodes Conclusions In this study, using materials thermo-physical data and CAD/CAE techniques the thermal fatigue life of a permanent mould is estimated.
Online since: November 2015
Authors: P. Arunkumar, U. Chandrasekhar, Esakki Balasubramanian
Thermo mechanical modeling of selective inhibition sintered thermoplastic parts
Arunkumar P1,a, Balasubramanian E2,b* and Chandrasekhar U3,c
1Junior Research Fellow, *2Associate Professor
Center for Autonomous System Research (CASR), Vel Tech University, Chennai
3Director, Engineering Staff College of India, Hyderabad
aarunmech198@gmail.com, *besak.bala@gmail.com, crapidchandra@gmail.com
Keywords: Selective Inhibition Sintering, Thermo-Structural, Polymers, Finite Element Analysis
Abstract: Contemporary product design and development efforts of various engineering organizations have experienced the emergence of Additive Manufacturing (AM) or 3D printing technology as a competent fabrication option for converting digital data into physical parts without using part-specific tools or fixtures.
Introduction Additive Layer Manufacturing (ALM) refers to the process of layer-by-layer fabricating of physical parts directly from three-dimensional CAD data out of various materials that include thermoplastics, metals and wax.
Reduction of thermal stress by about 50% in polyamide parts suggests that these will exhibit much smaller residual stress and hence superior dimensional stability.
Mark, Polymer Data Handbook, 3rd Edition, Oxford University Press, 1999
Introduction Additive Layer Manufacturing (ALM) refers to the process of layer-by-layer fabricating of physical parts directly from three-dimensional CAD data out of various materials that include thermoplastics, metals and wax.
Reduction of thermal stress by about 50% in polyamide parts suggests that these will exhibit much smaller residual stress and hence superior dimensional stability.
Mark, Polymer Data Handbook, 3rd Edition, Oxford University Press, 1999
Online since: December 2014
Authors: Carlos Pina Santos, Luís Matias, Luís Gonçalves, Alexandra Costa
IRT can be defined as the science of acquisition and analysis of data from noncontact thermal imaging devices [8].
Results The analysis of the two white paints (C_White and R_White) was performed during one day (8th February 2013) using thermocouples and thermographic data observed on the South façade of one test cell.
Percentage differences between data obtained with the two methods, for R_White and C_White paints, are also presented in Table 2.
Additional data show that the two white paints had different thermal performance (for the specific studied day - 8th February) between about 9h30 and 17h30, corresponding to approximately insolated facade time.
Small differences (5%) between IRT and thermocouples temperature data show the good accuracy of IRT method for setting temperature distribution of surface façades.
Results The analysis of the two white paints (C_White and R_White) was performed during one day (8th February 2013) using thermocouples and thermographic data observed on the South façade of one test cell.
Percentage differences between data obtained with the two methods, for R_White and C_White paints, are also presented in Table 2.
Additional data show that the two white paints had different thermal performance (for the specific studied day - 8th February) between about 9h30 and 17h30, corresponding to approximately insolated facade time.
Small differences (5%) between IRT and thermocouples temperature data show the good accuracy of IRT method for setting temperature distribution of surface façades.
Online since: January 2014
Authors: Tie Tian, Xing Zi Mao, Lin Mi
For testing materials, torsion pendulum has standard requirements for size of test specimen, clamping manner and clamping force, which facilitates error analysis of data.
Damping data obtained through the test will be more accurate through error analysis and range of temperature for use can be from liquid nitrogen temperature to 1500oC.
This scheme can basically meet requirements of the non-linear damping test of magnesium alloys and the test data obtained on the relationship between damping and strain of the AZ61D magnesium alloys can reflect damping capacity of the magnesium alloys.
The basic principle of the damping test device and damping and strain test data are shown in figure 7 and figure 8 below.
Besides, the test data can reflect comprehensively the damping capacity and advantages of magnesium alloys making them the best alternative scheme for testing damping capacity of magnesium alloys.
Damping data obtained through the test will be more accurate through error analysis and range of temperature for use can be from liquid nitrogen temperature to 1500oC.
This scheme can basically meet requirements of the non-linear damping test of magnesium alloys and the test data obtained on the relationship between damping and strain of the AZ61D magnesium alloys can reflect damping capacity of the magnesium alloys.
The basic principle of the damping test device and damping and strain test data are shown in figure 7 and figure 8 below.
Besides, the test data can reflect comprehensively the damping capacity and advantages of magnesium alloys making them the best alternative scheme for testing damping capacity of magnesium alloys.
Online since: September 2019
Authors: Alexander V. Gradoboev, Anastasiia V. Simonova, Ksenia N. Orlova
According to the preliminary research data optical compound used to fabricate lenses does not change its optical properties in the whole range of used fast neutron fluencies.
Research data obtained under radiation exposure in passive powering mode, i.e. without operational current, were used for making the LED radiation model.
Watt-ampere characteristic LEDR (a) and LEDY (b) in the linear scale: symbols - experimental data; lines – established relationships Figure 2 illustrates IW characteristic in double logarithmic coordinates (lg-lg coordinates).
Watt-ampere characteristic LEDR (a) and LEDY (b) in the linear scale under neutron irradiation: symbols - experimental data; lines – established relationships The representation of the IW characteristic in linear coordinates is generally accepted.
Dependence of An2 coefficient on An1 coefficient for LEDR: symbols - experimental data; line - established relationship Figure 9.
Research data obtained under radiation exposure in passive powering mode, i.e. without operational current, were used for making the LED radiation model.
Watt-ampere characteristic LEDR (a) and LEDY (b) in the linear scale: symbols - experimental data; lines – established relationships Figure 2 illustrates IW characteristic in double logarithmic coordinates (lg-lg coordinates).
Watt-ampere characteristic LEDR (a) and LEDY (b) in the linear scale under neutron irradiation: symbols - experimental data; lines – established relationships The representation of the IW characteristic in linear coordinates is generally accepted.
Dependence of An2 coefficient on An1 coefficient for LEDR: symbols - experimental data; line - established relationship Figure 9.
Online since: September 2013
Authors: Jian Hua Ji
And because the procedure in the temperature data sheet is composed by two temperature data composition, it needs eight digital quantities[8-10].
Through the usage of SCM, it had the data processing and control unit, it displayed environment temperature real-time changing value by using the change of thermal resistance voltage, transformed the temperature signal data to the SCM through the converter transmission to be calculate and processed.
At the same time, it carried on the output and end of the driver when the data of SCM was processed, the current temperature data was displayed through the lights.
This system achieved the purpose of the multipoint temperature signal data collection and the control of network monitoring.
l2 - 1 ∞ model reduction for switched LPV systems with average dwell time" IEEE Trans.
Through the usage of SCM, it had the data processing and control unit, it displayed environment temperature real-time changing value by using the change of thermal resistance voltage, transformed the temperature signal data to the SCM through the converter transmission to be calculate and processed.
At the same time, it carried on the output and end of the driver when the data of SCM was processed, the current temperature data was displayed through the lights.
This system achieved the purpose of the multipoint temperature signal data collection and the control of network monitoring.
l2 - 1 ∞ model reduction for switched LPV systems with average dwell time" IEEE Trans.
Online since: December 2010
Authors: Hong Wang, Hai Bin Zhao, Chong Liu, Chun Yang Yu
The experiment data used in this study was taken from data set I of the BCI Competition III [7].
This data set reflected this situation: training data and test data were recorded from the same subject and the same experimental task, but on two different days with about one week of delay.
The data consists two parts: the labeled training data (278 trials) and unlabeled test data (100 trials).
LDA was trained on the training data and then used to classify the feature vectors of the test data.
The average BP values of the train data set Dimension reduction will simplify the complexity of classification algorithm.
This data set reflected this situation: training data and test data were recorded from the same subject and the same experimental task, but on two different days with about one week of delay.
The data consists two parts: the labeled training data (278 trials) and unlabeled test data (100 trials).
LDA was trained on the training data and then used to classify the feature vectors of the test data.
The average BP values of the train data set Dimension reduction will simplify the complexity of classification algorithm.
Online since: July 2014
Authors: G. Srinivas, B.P. Madhu Gowda
Analyze the numerical simulation values like coefficient of lift, coefficient of Drag, Lift, Drag, and Energy parameters with wind tunnel data to predict accuracy for both the airfoils.
Through the selected public literature standard airfoil data and designed airfoil data has been chosen, the geometry was created in the GAMBIT and also the meshing by selecting the suitable c-grid and rectangular grid for the better flow analysis in the FLUENT.
The percent error for the design and referred analysis data was approximately 4.59% can see the plot 29 to 30.
These design airfoil results are well matching with the literature experimental data also.
Moreover, Fluent and gambit provides a better correlation with theoretical data for coefficient values like lift, drag and their coefficients prediction.
Through the selected public literature standard airfoil data and designed airfoil data has been chosen, the geometry was created in the GAMBIT and also the meshing by selecting the suitable c-grid and rectangular grid for the better flow analysis in the FLUENT.
The percent error for the design and referred analysis data was approximately 4.59% can see the plot 29 to 30.
These design airfoil results are well matching with the literature experimental data also.
Moreover, Fluent and gambit provides a better correlation with theoretical data for coefficient values like lift, drag and their coefficients prediction.