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Online since: November 2014
Authors: Zheng Zhou Wang, Jian Wei Yang, Li Xin Wu, Dong Xian Zhuo
Cone data indicate that the incorporation of 1% GNP leads to a 28% reduction in the peak heat release rate (PHRR) compared to pure PS.
Measurements The X-ray diffraction (XRD) data were obtained at room temperature using a Rigaku Miniflex II Desktop X-ray diffractometer equipped with a Cu-Ka source (λ=1.5404Å).
Increasing the GNP loading does not result in a further reduction in PHRR; the reductions are 20.3% and 19.5% at 2% and 3% loading, respectively.
As can be seen from Fig. 3, the addition of 20% intumescent flame retardants (IFR) into PS results in a 54.8% reduction in PHRR in comparison with pure PS; the reason for the reduction is probably attributed to the formation of excellent char.
The addition of 20% intumescent flame retardants (IFR) into PS results in a 54.8% reduction in PHRR, and a further reduction in PHRR (64.5%) is observed if 3% IFR is substituted by GNP (i.e. 17% IFR + 3% GNP).
Measurements The X-ray diffraction (XRD) data were obtained at room temperature using a Rigaku Miniflex II Desktop X-ray diffractometer equipped with a Cu-Ka source (λ=1.5404Å).
Increasing the GNP loading does not result in a further reduction in PHRR; the reductions are 20.3% and 19.5% at 2% and 3% loading, respectively.
As can be seen from Fig. 3, the addition of 20% intumescent flame retardants (IFR) into PS results in a 54.8% reduction in PHRR in comparison with pure PS; the reason for the reduction is probably attributed to the formation of excellent char.
The addition of 20% intumescent flame retardants (IFR) into PS results in a 54.8% reduction in PHRR, and a further reduction in PHRR (64.5%) is observed if 3% IFR is substituted by GNP (i.e. 17% IFR + 3% GNP).
Online since: January 2013
Authors: Xian Zheng Gong, Bo Xue Sun, Su Ping Cui, Chen Li, Xian Ce Meng
The input and output data was from this report.
Table 1 is a summary of the raw material consumption contributions for the production of 1 kg of clinker as complied from the inventory data sheets.
The coal input data from the coal mill scale inventory and the coal consumption is 0.1460 ton standard coal per ton clinker.
Other pollutants including several kinds of heavy metal output data are from the report of the Beijing Environmental Protection Bureau.
Considering the formal fluctuations of emissions, some data are shown in min and max form.
Table 1 is a summary of the raw material consumption contributions for the production of 1 kg of clinker as complied from the inventory data sheets.
The coal input data from the coal mill scale inventory and the coal consumption is 0.1460 ton standard coal per ton clinker.
Other pollutants including several kinds of heavy metal output data are from the report of the Beijing Environmental Protection Bureau.
Considering the formal fluctuations of emissions, some data are shown in min and max form.
Online since: November 2012
Authors: Adekunle Oloyede, Naren Kumar, Vladis Kosse
Cycloidal drives are widely used in today’s industries for drives where large reduction ratios are required.
One of the axes of the accelerometer orientated in the tangential direction was plugged into a data collection and analysis device – Labquest (Vernier Software & Technology, USA) to capture tangential acceleration of the pulley.
Thus, when the weight was dropped, the system response would trigger data collection automatically.
Table 1: Comparison of calculated natural frequency from measured data with that of FFT Input torque [Nm] Calculated Frequency [Hz] FFT frequency [Hz] 0.5Tn 28.82 27.34 1Tn 24.39 25.39 1.5Tn 20.41 25.39 Discussion and Conclusion At high input torque loads, the components of the drive are subjected to high contact forces and hence the overall torsional stiffness increases.
Logger Pro data-collection software (http://www.vernier.com).
One of the axes of the accelerometer orientated in the tangential direction was plugged into a data collection and analysis device – Labquest (Vernier Software & Technology, USA) to capture tangential acceleration of the pulley.
Thus, when the weight was dropped, the system response would trigger data collection automatically.
Table 1: Comparison of calculated natural frequency from measured data with that of FFT Input torque [Nm] Calculated Frequency [Hz] FFT frequency [Hz] 0.5Tn 28.82 27.34 1Tn 24.39 25.39 1.5Tn 20.41 25.39 Discussion and Conclusion At high input torque loads, the components of the drive are subjected to high contact forces and hence the overall torsional stiffness increases.
Logger Pro data-collection software (http://www.vernier.com).
Online since: April 2012
Authors: Kyu Seok Han, Jong Tae Park
In order to the effect of temper rolling reduction on the strengthening of Goss texture, temper rolling reduction was changed in the range of 2% to 8%.
A mechanism of grain growth during SIBM is suggested from our experimental data.
It can be found from observed EBSD data that the Goss grains have the lowest stored energy in all temper-rolled specimens, which is confirmed by average image quality value in EBSD measurements.
A mechanism of texture development during SIBM can be suggested based on obtained experimental data.
It can be found from observed EBSD data that the Goss grains have the lowest stored energy in all temper-rolled specimens, which is confirmed by average image quality value in EBSD measurements.
A mechanism of grain growth during SIBM is suggested from our experimental data.
It can be found from observed EBSD data that the Goss grains have the lowest stored energy in all temper-rolled specimens, which is confirmed by average image quality value in EBSD measurements.
A mechanism of texture development during SIBM can be suggested based on obtained experimental data.
It can be found from observed EBSD data that the Goss grains have the lowest stored energy in all temper-rolled specimens, which is confirmed by average image quality value in EBSD measurements.
Online since: May 2007
Authors: Lian Zhou, C.F. Liu, Shao Kai Chen, Ping Xiang Zhang
This texture was much intensive in the tape at 99% thickness reduction than in the
tape at 87% thickness reduction.
Texture fraction data corresponding to 1, 3, 4, 5 hours annealing are shown in Fig.3a.
The absence of data at 2 hours is owing to the failure EBSD experiment of this sample.
The absence of data for 1 hour is also because of the unsuccessful EBSD experiment of this sample.
Fig.5 {111} pole figures of as-rolled tapes in 87% total reduction (a) and 99% total reduction (b).
Texture fraction data corresponding to 1, 3, 4, 5 hours annealing are shown in Fig.3a.
The absence of data at 2 hours is owing to the failure EBSD experiment of this sample.
The absence of data for 1 hour is also because of the unsuccessful EBSD experiment of this sample.
Fig.5 {111} pole figures of as-rolled tapes in 87% total reduction (a) and 99% total reduction (b).
Online since: October 2015
Authors: Wen He Liao, Yu Guo, Fa Lin Wang, Bao Sheng Wu
Introduction
Complex mechatronic products design is a typical knowledge-intensive process, design knowledge such as existing product information, data, principles, rules, and others in the process of design are constitute a complicated dynamic information system[1,2].
Design rules extraction mainly carried out from three aspects: data reduction, knowledge mining and rules extraction; (2) Ontology processing of design knowledge and task.
To obtain the push rule sets of design knowledge, select a set from the attribute reduction sets, and its equivalence class can be denoted as.
Yin, Approaches to knowledge reduction of covering decision systems based on information theory, Information Sciences, 179(2009)1694-1704
Zhang, Approaches to knowledge reduction based on variable precision rough set model, Information Sciences,159(2004)255-272
Design rules extraction mainly carried out from three aspects: data reduction, knowledge mining and rules extraction; (2) Ontology processing of design knowledge and task.
To obtain the push rule sets of design knowledge, select a set from the attribute reduction sets, and its equivalence class can be denoted as.
Yin, Approaches to knowledge reduction of covering decision systems based on information theory, Information Sciences, 179(2009)1694-1704
Zhang, Approaches to knowledge reduction based on variable precision rough set model, Information Sciences,159(2004)255-272
Online since: August 2013
Authors: You Long Yang, Xing Jia Tang, Xiu Fang Zhang
However, in data analysis and preprocessing tasks, one is often confronted with the problem of selecting features from very high dimensional data.
The experiment was tested on three benchmark data sets.
Experiments and Results In order to evaluate our proposed method, we performed experiments on three benchmark data sets: Emotions data set, Scene data set and Yeast data set.
Mining multi-label data.
In: Data mining and knowledge discovery handbook.
The experiment was tested on three benchmark data sets.
Experiments and Results In order to evaluate our proposed method, we performed experiments on three benchmark data sets: Emotions data set, Scene data set and Yeast data set.
Mining multi-label data.
In: Data mining and knowledge discovery handbook.
Online since: October 2014
Authors: Xue Mei Cai, Qian Neng Zhou, Jing Mei Wang, Bao Ying Wang
From 300K up to 1000K, the predicted thermal properties are compared with experimental data.
The results are compared with experimental data and good agreements are achieved.
Considering the errors of the thermal conductivity measurements and the data reads from Ref. [12], the theory applied in this work can be considered believable.
The theoretical reduction of thermal conductivity due to oxygen defects is shown in Fig.4.
But as temperature increases, the reduction of thermal conductivity becomes smaller.
The results are compared with experimental data and good agreements are achieved.
Considering the errors of the thermal conductivity measurements and the data reads from Ref. [12], the theory applied in this work can be considered believable.
The theoretical reduction of thermal conductivity due to oxygen defects is shown in Fig.4.
But as temperature increases, the reduction of thermal conductivity becomes smaller.
Online since: May 2012
Authors: Anish Roy, Farrukh Makhdum, Vadim V. Silberschmidt, Dk Nurdiyana Pg. Norddin
The thrust force data was recorded using Picoscope™, which was further processed into Matlab after converting them into .txt format.
Prior to the tests, the dynamometer was calibrated using weighs to ensure a linear response between axial forces applied and data shown on PC display.
The thrust-force reduction was calculated to investigate the effectiveness of UAD in relation to CD.
In the view of force reduction caused by UAD, from 260 rpm to 540 rpm, a general trend of increase in force reduction can be observed with an increasing speed; the maximum force reduction was achieved at 1700 rpm.
Comparative thrust force Speed (rpm) Force (N) Average force reduction (%) CD UAD 40 345±6 31± 4 91 5.
Prior to the tests, the dynamometer was calibrated using weighs to ensure a linear response between axial forces applied and data shown on PC display.
The thrust-force reduction was calculated to investigate the effectiveness of UAD in relation to CD.
In the view of force reduction caused by UAD, from 260 rpm to 540 rpm, a general trend of increase in force reduction can be observed with an increasing speed; the maximum force reduction was achieved at 1700 rpm.
Comparative thrust force Speed (rpm) Force (N) Average force reduction (%) CD UAD 40 345±6 31± 4 91 5.
Online since: July 2014
Authors: Zhi Yong Zou, Man Zhou, Li Jia Xu, Zhi Liang Kang, Ming Dan Liu
Network packet loss rate testing
Collect data through No. 4,5,6,7 sensor nodes.
Export log data from the coordinator node database, the test results is shown in Table 1.
So it indicates the data transmission stability and reliability.
Table1 Loss packet rate statistics of data transmission Sensor node Transmit packet Receive packet of coordinator node Packet loss rate /% 04 336 334 0.60 05 336 336 0 06 336 335 0.3 07 336 334 0.6 Average value 336 334.75 0.375 Data acquisition test The oxidation-reduction potential, pH value, temperature measuring instrument uses the AZ8651 oxidation-reduction potential meter, CT2016A slurry pH detector, AZ8891 waterproof probe thermometer respectively.
Achieve powerful data management capabilities by combining with embedded database SQlite.
Export log data from the coordinator node database, the test results is shown in Table 1.
So it indicates the data transmission stability and reliability.
Table1 Loss packet rate statistics of data transmission Sensor node Transmit packet Receive packet of coordinator node Packet loss rate /% 04 336 334 0.60 05 336 336 0 06 336 335 0.3 07 336 334 0.6 Average value 336 334.75 0.375 Data acquisition test The oxidation-reduction potential, pH value, temperature measuring instrument uses the AZ8651 oxidation-reduction potential meter, CT2016A slurry pH detector, AZ8891 waterproof probe thermometer respectively.
Achieve powerful data management capabilities by combining with embedded database SQlite.