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Online since: July 2011
Authors: Qing Hua Wu, Na Dai, Tao He
The measured data is processed and analyzed.
Image pre-processing includes filtration and noise reduction, sharpening, threshold fragmentation and interestedness region extracting etc.
This method can be accomplished by the follow steps, First, getting the coordinates of the points on the circle builds a data set, then using the least squares fitting gets sub-pixel edge.
The experiment data is shown in Table 1 and Fig.5 is the experiment data distribution curve.
Table 1 Part measurement result [] Value Deviation Value Deviation Value Deviation 14.06 +0.014 14.041 -0.005 14.037 -0.009 14.049 +0.003 14.054 +0.007 14.040 -0.006 14.048 +0.002 14.052 +0.006 14.049 +0.003 14.051 +0.005 14.048 +0.002 14.035 -0.011 14.054 +0.008 14.055 +0.009 14.057 +0.011 14.067 +0.021 14.047 +0.001 14.034 -0.012 14.059 +0.013 14.031 -0.015 14.051 +0.005 14.067 +0.021 14.038 -0.018 14.056 +0.010 14.075 +0.029 14.029 -0.017 14.043 -0.003 14.068 +0.022 14.040 -0.006 14.026 -0.020 14.063 +0.017 14.030 -0.016 14.055 +0.009 14.046 0.000 14.044 -0.002 14.039 -0.007 14.044 -0.002 14.022 -0.006 14.037 -0.009 14.053 +0.007 14.020 -0.026 14.050 +0.004 14.032 -0.014 14.037 -0.009 14.049 +0.003 14.049 +0.003 14.029 -0.017 14.051 +0.005 Fig.5 Experiment data distribution curve The Outside-Diameter of this bearing is .the mean value of measured data is .The mean square deviation is.
Image pre-processing includes filtration and noise reduction, sharpening, threshold fragmentation and interestedness region extracting etc.
This method can be accomplished by the follow steps, First, getting the coordinates of the points on the circle builds a data set, then using the least squares fitting gets sub-pixel edge.
The experiment data is shown in Table 1 and Fig.5 is the experiment data distribution curve.
Table 1 Part measurement result [] Value Deviation Value Deviation Value Deviation 14.06 +0.014 14.041 -0.005 14.037 -0.009 14.049 +0.003 14.054 +0.007 14.040 -0.006 14.048 +0.002 14.052 +0.006 14.049 +0.003 14.051 +0.005 14.048 +0.002 14.035 -0.011 14.054 +0.008 14.055 +0.009 14.057 +0.011 14.067 +0.021 14.047 +0.001 14.034 -0.012 14.059 +0.013 14.031 -0.015 14.051 +0.005 14.067 +0.021 14.038 -0.018 14.056 +0.010 14.075 +0.029 14.029 -0.017 14.043 -0.003 14.068 +0.022 14.040 -0.006 14.026 -0.020 14.063 +0.017 14.030 -0.016 14.055 +0.009 14.046 0.000 14.044 -0.002 14.039 -0.007 14.044 -0.002 14.022 -0.006 14.037 -0.009 14.053 +0.007 14.020 -0.026 14.050 +0.004 14.032 -0.014 14.037 -0.009 14.049 +0.003 14.049 +0.003 14.029 -0.017 14.051 +0.005 Fig.5 Experiment data distribution curve The Outside-Diameter of this bearing is .the mean value of measured data is .The mean square deviation is.
Online since: May 2013
Authors: N. Sankara Subramanian, S. Rajathi, K. Ramanathan, M. Senthamizhselvi
From the transmittance data, band gap energy of the films has been evaluated.
The lattice constant “a” and “c” have been evaluated from the XRD data using the relation (Eq. 1). 1/d2 = 4/3 (h2+hk+k2)/a2+l2/c2 (Eq. 1) The calculated lattice constant “a”, “c” and their ratio (c/a ratio) shown in the Table - 1 have been found to be well in agreement with the standard JCPDS data PDF file number 80-0006.
The mean grain size evaluated from the XRD data lie between 250 nm and 650 nm.
This may be attributed to the gradual reduction in the light scattering effect offered by the fine crystallites with the steady increase in the deposition temperature.
The mean grain size evaluated from the XRD data lie between 250 nm and 650 nm.
The lattice constant “a” and “c” have been evaluated from the XRD data using the relation (Eq. 1). 1/d2 = 4/3 (h2+hk+k2)/a2+l2/c2 (Eq. 1) The calculated lattice constant “a”, “c” and their ratio (c/a ratio) shown in the Table - 1 have been found to be well in agreement with the standard JCPDS data PDF file number 80-0006.
The mean grain size evaluated from the XRD data lie between 250 nm and 650 nm.
This may be attributed to the gradual reduction in the light scattering effect offered by the fine crystallites with the steady increase in the deposition temperature.
The mean grain size evaluated from the XRD data lie between 250 nm and 650 nm.
Online since: June 2014
Authors: Chang Liu
Since we can’t get the data under rated operation exactly, we measure the main steam flow near rated point several times, and get by interpolation.
According to background data, temperature of boiler water has little effect on boiler efficiency, which means that it can be neglected.
We get the experimental data of a boiler when load is 298MW, 245.3MW, 215.8MW, and 192.3MW.
On the basis of experimental data, we discuss such circumstances as loads are 298MW, 245.3MW, 215.8MW, 192.3MW and of 300MW.
Owing to the fact that we can’t obtain experimental data under every load circumstances, we draw a function curve of load and boiler efficiency under its corresponding optimal excess air coefficient with the use of cubic spline interpolation, which is shown in Fig.2.
According to background data, temperature of boiler water has little effect on boiler efficiency, which means that it can be neglected.
We get the experimental data of a boiler when load is 298MW, 245.3MW, 215.8MW, and 192.3MW.
On the basis of experimental data, we discuss such circumstances as loads are 298MW, 245.3MW, 215.8MW, 192.3MW and of 300MW.
Owing to the fact that we can’t obtain experimental data under every load circumstances, we draw a function curve of load and boiler efficiency under its corresponding optimal excess air coefficient with the use of cubic spline interpolation, which is shown in Fig.2.
Online since: December 2012
Authors: Song Lin Yang, Jian Cui, Hai Tong Xu
Through comparing with experimental data and the simulation results, it has verified the reliability of the simulation platform.
The comparison analysis on the data of simulation results and ship model experiment, they had a better consistency from Table 1, which showed that this simulation platform is a reliable and effective.
System Identification is the input and output data from the system established mathematical model theory and methods, including structure of mathematical model and the estimated model parameters.
Through comparing with experimental data and the simulation results, it has verified the reliability of the simulation platform.
This paper got the values of various parameters and compared the results between the system identification results and the experimental data, which verified the reliability of the system identification procedure.
The comparison analysis on the data of simulation results and ship model experiment, they had a better consistency from Table 1, which showed that this simulation platform is a reliable and effective.
System Identification is the input and output data from the system established mathematical model theory and methods, including structure of mathematical model and the estimated model parameters.
Through comparing with experimental data and the simulation results, it has verified the reliability of the simulation platform.
This paper got the values of various parameters and compared the results between the system identification results and the experimental data, which verified the reliability of the system identification procedure.
Online since: July 2015
Authors: Mohamad Nidzam Rahmat, Farrah Zuhaira Ismail, Norishahaini M. Ishak
As many of the available sound reduction materials in the current market are hazardous, there are demands for alternative sustainable materials to reduce the noise problem.
Thickness of the specimen(10mm to 70mm) 3) The specimen was inserted into the tube. 4) The tube was closed firmly. 5) The generator and amplifier were switched on and the sound test started. 6) Data recorded using DBFA Suite software.
Noise reduction coefficient or Alpha value was taken as an average of the absorption coefficient at seven octave band frequencies of 63, 125, 250, 500, 1000, 2000, 4000Hz by using standard method of ISO 10534-2: 1998.
Table 2: Sound absorption coefficient data of the samples.
Thickness of the specimen(10mm to 70mm) 3) The specimen was inserted into the tube. 4) The tube was closed firmly. 5) The generator and amplifier were switched on and the sound test started. 6) Data recorded using DBFA Suite software.
Noise reduction coefficient or Alpha value was taken as an average of the absorption coefficient at seven octave band frequencies of 63, 125, 250, 500, 1000, 2000, 4000Hz by using standard method of ISO 10534-2: 1998.
Table 2: Sound absorption coefficient data of the samples.
Online since: October 2025
Authors: Riska Rachmantyo, Lia Amelia Tresna Wulan Asri, Richard Adventus Hutasoit
Based on data from 1950 to 2015, the number of plastics produced worldwide has exceeded 400 million tonnes per year[2,3].
In addition, test results showed that calculated data tend to be lower than theoretical data, as most concrete samples made during this study showed surface irregularities, especially on top of samples.
It is known that the specimens with plastic aggregates can be classified as lightweight concrete based on the overall data of the density test results of the specimens.
In direct proportion to the reduction in density of the 50% plastic specimen.
From the overall compression test data, it can be concluded that the 25% plastic aggregate concrete meets the strength for lightweight applications.
In addition, test results showed that calculated data tend to be lower than theoretical data, as most concrete samples made during this study showed surface irregularities, especially on top of samples.
It is known that the specimens with plastic aggregates can be classified as lightweight concrete based on the overall data of the density test results of the specimens.
In direct proportion to the reduction in density of the 50% plastic specimen.
From the overall compression test data, it can be concluded that the 25% plastic aggregate concrete meets the strength for lightweight applications.
Online since: July 2014
Authors: Noor A. Ahmed, Razeen F. Ahmed, Yenas Yendrew
Tests were carried out to compare the reduction of noise levels from external sources with and without the chamber.
The results obtained suggest a clear reduction of noise levels with different wind speeds, and as expected, resulted with higher reductions at higher wind tunnel speeds. 1.
Open-jet wind tunnel, however, produces shear layer that allows the wind tunnel noise to propagate to the open room, which may produce uncertainties in the measured data.
The results obtained suggest a clear reduction of noise levels with different wind speeds, and as expected, resulted with higher reductions at higher wind tunnel speeds. 1.
Open-jet wind tunnel, however, produces shear layer that allows the wind tunnel noise to propagate to the open room, which may produce uncertainties in the measured data.
Online since: July 2011
Authors: Jian Cheng, Yi Min Wei, Xin Xiong, Chun Biao Gan, Shi Xi Yang
With embedded linux operating system and the developing platform of Qt software implemented, important functions such as data acquisition, data transfer based on TCP/IP protocols, display of data waveform, local storage of data, data analysis, elementary fault diagnosis and so forth can be achieved all together in a single facility.
Data collecting thread, data transfer thread, data waveform displaying thread and data storage thread are all time opened threads, and they together with GUI thread consist of the 5 parallel threads running all the time in TSI.
(2) Data transfer Data collected by TSI is transferred to remote fault diagnosis system and data server by industrial ethernet with C/S network model and TCP/IP[8-10] protocols.
This TSI contains shared data collected by data collecting thread, and these data is public information which will be used to transfer through network, store locally and display waveform.
When QString is Net_Transmission , Wave_show or Data_Save, data transfer thread , data waveform displaying thread or data storage thread will run in turn, after every thread finished, QString value is set as the flag value for the next thread and QMutex unlocks
Data collecting thread, data transfer thread, data waveform displaying thread and data storage thread are all time opened threads, and they together with GUI thread consist of the 5 parallel threads running all the time in TSI.
(2) Data transfer Data collected by TSI is transferred to remote fault diagnosis system and data server by industrial ethernet with C/S network model and TCP/IP[8-10] protocols.
This TSI contains shared data collected by data collecting thread, and these data is public information which will be used to transfer through network, store locally and display waveform.
When QString is Net_Transmission , Wave_show or Data_Save, data transfer thread , data waveform displaying thread or data storage thread will run in turn, after every thread finished, QString value is set as the flag value for the next thread and QMutex unlocks
Online since: March 2009
Authors: Elisabetta Ceretti, Claudio Giardini, Antonio Fiorentino, Dario Braga, Attanasio Aldo
The collected data allowed to identify how the
different lubrication conditions affect the final workpiece geometry.
Principal advantages of this technology are the tooling costs and assembly parts reduction, the part mechanical properties, the weight and dimensional accuracy improvement [1-3].
A system, based on load cells and a data acquisition system, measures the compression load (F) and the friction force (T).
The figure shows a linear dependency under the condition that the R 2 value derives form a high data scattering which increases as the friction coefficient value decreases.
Booser: Tribology data handbook (CRC Press, New York).
Principal advantages of this technology are the tooling costs and assembly parts reduction, the part mechanical properties, the weight and dimensional accuracy improvement [1-3].
A system, based on load cells and a data acquisition system, measures the compression load (F) and the friction force (T).
The figure shows a linear dependency under the condition that the R 2 value derives form a high data scattering which increases as the friction coefficient value decreases.
Booser: Tribology data handbook (CRC Press, New York).
Online since: January 2012
Authors: Xiu Ling Ji, Hai Peng Wang, Shi Ming Zeng, Chen Yang Jia
The computational Magnus moment coefficients of test case are validated with available experimental data of a Secant-Ogive-Cylinder-Boattail (SOCBT) configuration at Mach 3, demonstrating that the method can provide an accurate and viable approach for this problem.
It is found that an order of magnitude reduction in the residues is usually sufficient to produce a good transient iteration.
Comparisons between computational result and experimental data are shown in Fig. 2.
For the most part, the computations agree well with the experimental data, especially considering the imprecision of the available geometry data and flight conditions, which gives confidence to the modeling process.
Advertising data from Giat Industries, www.giat-industries.fr [2] Reusch and K.B.K autzsch, “Precision Enhancement build on a Multi Functional Fuze for 155 mm Artillery Munition,” NDIA 47th NDIA Annual Fuze Conference, 2003
It is found that an order of magnitude reduction in the residues is usually sufficient to produce a good transient iteration.
Comparisons between computational result and experimental data are shown in Fig. 2.
For the most part, the computations agree well with the experimental data, especially considering the imprecision of the available geometry data and flight conditions, which gives confidence to the modeling process.
Advertising data from Giat Industries, www.giat-industries.fr [2] Reusch and K.B.K autzsch, “Precision Enhancement build on a Multi Functional Fuze for 155 mm Artillery Munition,” NDIA 47th NDIA Annual Fuze Conference, 2003