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Online since: April 2012
Authors: Alfredo Sanz-Lobera, S. Pindado, R. Fernández, Pedro José Núñez
Following a similar procedure as the one described for the example profile, work has been done with real data obtained from a series of 20 cylindrical workpieces machined in a numerical control turning machine with different values of feed and cutting speed.
For graphical representation it was chosen the data from a workpiece machined with a feed f=0.3 mm/rev (Fig. 4).
First line, CL, is the easiest one to calculate and it is defined imposing parallelism condition respect the displacement direction of the roughmeter when it is getting data.
Among the three lines, OL generates the smaller values using the same initial data.
In any case, if it is possible, it is convenient to have the data of the profile’s points instead of trusting, without another check, in the values supplied by the roughmeters.
For graphical representation it was chosen the data from a workpiece machined with a feed f=0.3 mm/rev (Fig. 4).
First line, CL, is the easiest one to calculate and it is defined imposing parallelism condition respect the displacement direction of the roughmeter when it is getting data.
Among the three lines, OL generates the smaller values using the same initial data.
In any case, if it is possible, it is convenient to have the data of the profile’s points instead of trusting, without another check, in the values supplied by the roughmeters.
Experimental and Computational Analysis of Machining Processes for Light-Weight Aluminium Structures
Online since: April 2008
Authors: Sven Grünert, Michael Kersting, Klaus Weinert, Dirk Biermann
The main goals of these investigations are the analysis and the optimization of the process design
concerning the applied cutting data.
Especially these data are important for the definition of loads within the FE-modeling.
When analyzing the data 17 peaks were observed in the datasheet.
This data was used to model an exact image of the tool in the FEA environment.
The simulation was conducted for different cutting data (Table 2).
Especially these data are important for the definition of loads within the FE-modeling.
When analyzing the data 17 peaks were observed in the datasheet.
This data was used to model an exact image of the tool in the FEA environment.
The simulation was conducted for different cutting data (Table 2).
Online since: October 2006
Authors: Sandrine Juillaguet, Sylvie Contreras, Jean Camassel, Caroline Blanc, Ralf Müller, Peter J. Wellmann, Ulrike Künecke, Marcin Zielinski, Leszek Konczewicz
We show in Fig.2 the experimental data collected for samples A (6H) and B
(4H) in which the solid and dashed lines have been obtained from the procedure of Ref.5.
It could come from the fact that SIMS and LTPL are local probes which explore less than a 5 to 10 µm material thickness on the "optical" side of sample (opposite to the electrical contacts side) whereas the electrical data average the complete sample volume.
Acceptor densities (NA1,), acceptor energies (EA1) and donor densities (ND) are determined from fit of Hall data.
Calculated pH and µH are plotted : with Al and N concentrations from SIMS data (NA=[Al] and ND=[N]) for dashed lines and with the data reported in Table 2 for the solid line.
Clearly, in the case of M-PVT, lowering the compensation to the level of HT-CVD samples would result in a drastic reduction of the resistivity.
It could come from the fact that SIMS and LTPL are local probes which explore less than a 5 to 10 µm material thickness on the "optical" side of sample (opposite to the electrical contacts side) whereas the electrical data average the complete sample volume.
Acceptor densities (NA1,), acceptor energies (EA1) and donor densities (ND) are determined from fit of Hall data.
Calculated pH and µH are plotted : with Al and N concentrations from SIMS data (NA=[Al] and ND=[N]) for dashed lines and with the data reported in Table 2 for the solid line.
Clearly, in the case of M-PVT, lowering the compensation to the level of HT-CVD samples would result in a drastic reduction of the resistivity.
Online since: July 2012
Authors: Wei Zhang, Cheng Ju Song, Ya Ping Zhang, Zhi Chao Yang
[2] National Climatologic Data Center. 2002.
National Climatologic Data Center, NOAA, United States Department of Commerce, http://lwf.ncdc.noaa.gov/oa/climate/monitoring/snowclim/mainpage.html
[5] National Climatologic Data Center. 2008.
National Climatologic Data Center, NOAA, United States Department of Commerce
Three Fastest Shortest Path Algorithms on Real Road Networks: Data Structures and Procedures .Journal of Geographic Information and Decision Analysis, 1998,11, 1(1) :69-82.
National Climatologic Data Center, NOAA, United States Department of Commerce, http://lwf.ncdc.noaa.gov/oa/climate/monitoring/snowclim/mainpage.html
[5] National Climatologic Data Center. 2008.
National Climatologic Data Center, NOAA, United States Department of Commerce
Three Fastest Shortest Path Algorithms on Real Road Networks: Data Structures and Procedures .Journal of Geographic Information and Decision Analysis, 1998,11, 1(1) :69-82.
Online since: November 2005
Authors: A.A. Marialva-Neto, Antônio Carlos da Silva, Sonia Regina Homem de Mello-Castanho, Sandra Maria Cunha
In this temperature, the ATD data indicated
an endothermic peak, pointing the release or reordenation of some species present in the
residue; around 1100°C, initiates an endothermic behavior, possibly indicating some
reordering or volatilization of some components.
These data are indicative of the possible temperature intervals to treating the SGR, without significant loss for the environment by volatilization
However, when the residue was calcined at 1550°C, a relative reduction in the intensity of the referring Zn2Cr2O4 peaks occurred, indicating possible incorporation to the amorphous phase, that begins to increase after treatment at 1550 °C, where the data showed that the waste didn't melt.
FIGURE 1: SGR X-Ray analysis data, at 1450°C and 1550°C ZnCr2O4 Fe2SiS4 Intensity (a.u.)
(FIG. 4) 5 0 25 50 75 100 125 150 175 80 70 60 50 40 30 20 10 0 0 255075100125150175 80 70 60 50 40 30 20 10 0 % massa tempo(min) 0 200 400 600 800 1000 1200 1400 1600 -20 0 20 40 60 80 100 120 140 160 180 1450-R23-S47-F5-N25 ATD (µV) 1450-R23-S47-F10-N20 % massa tempo (min) 0 200 400 600 800 1000 1200 1400 1600 -20 0 20 40 60 80 100 120 140 160 180 ATD(µV) FIGURE.4: ATD and ATG data for compositions with 5% feldspar, 25% Na2CO3 and 10% feldspar, 20% Na2CO3 (both with 23% SGR) The samples were submitted to chemical resistance tests during 14 days in a watery way and the results did not shown significant variations of mass or pH, evidencing the chemical stability of glasses.
These data are indicative of the possible temperature intervals to treating the SGR, without significant loss for the environment by volatilization
However, when the residue was calcined at 1550°C, a relative reduction in the intensity of the referring Zn2Cr2O4 peaks occurred, indicating possible incorporation to the amorphous phase, that begins to increase after treatment at 1550 °C, where the data showed that the waste didn't melt.
FIGURE 1: SGR X-Ray analysis data, at 1450°C and 1550°C ZnCr2O4 Fe2SiS4 Intensity (a.u.)
(FIG. 4) 5 0 25 50 75 100 125 150 175 80 70 60 50 40 30 20 10 0 0 255075100125150175 80 70 60 50 40 30 20 10 0 % massa tempo(min) 0 200 400 600 800 1000 1200 1400 1600 -20 0 20 40 60 80 100 120 140 160 180 1450-R23-S47-F5-N25 ATD (µV) 1450-R23-S47-F10-N20 % massa tempo (min) 0 200 400 600 800 1000 1200 1400 1600 -20 0 20 40 60 80 100 120 140 160 180 ATD(µV) FIGURE.4: ATD and ATG data for compositions with 5% feldspar, 25% Na2CO3 and 10% feldspar, 20% Na2CO3 (both with 23% SGR) The samples were submitted to chemical resistance tests during 14 days in a watery way and the results did not shown significant variations of mass or pH, evidencing the chemical stability of glasses.
Online since: March 2014
Authors: Alexander K. Tsvetnikov, Valentin I. Sergienko, Sergey V. Gnedenkov, Sergey L. Sinebryukhov, Denis P. Opra
According to the scanning electron microscopy data, the HL particle size ranges from 5 up to 35 μm.
According to the obtained data, the electrode with 6 wt. % of binder was characterized by the highest value of the specific capacity (Fig. 2a).
According to the obtained data, the open circuit voltage (OCV) value for the system is equal to 3.4 V.
The obtained data are in agreement with the literature overview, for example, similar suggestions were made by L.
According to the obtained data, the optimal drying temperature of the cathode with the F-4D binder is not less than 260-280 °С.
According to the obtained data, the electrode with 6 wt. % of binder was characterized by the highest value of the specific capacity (Fig. 2a).
According to the obtained data, the open circuit voltage (OCV) value for the system is equal to 3.4 V.
The obtained data are in agreement with the literature overview, for example, similar suggestions were made by L.
According to the obtained data, the optimal drying temperature of the cathode with the F-4D binder is not less than 260-280 °С.
Online since: November 2018
Authors: Shin Ichi Furusawa, Yohei Minami
As a reference, PDF-2 data of the feldspar group are shown in Fig. 2.
The deviation of the XRD peaks from the data of PDF-2 may be due to the deviation of the composition.
The plotted data were well fitted by the following Arrhenius formula: , (4) Fig. 4 Temperature dependence of the ionic conductivity of MAlSi3O8.
In addition, an increase in the ionic mass will lead to a reduction in the attempt frequency for ionic hopping.
Figure 6 shows the conductivity data in the frequency range of 100 Hz–10 MHz on a double logarithmic scale at 500 K.
The deviation of the XRD peaks from the data of PDF-2 may be due to the deviation of the composition.
The plotted data were well fitted by the following Arrhenius formula: , (4) Fig. 4 Temperature dependence of the ionic conductivity of MAlSi3O8.
In addition, an increase in the ionic mass will lead to a reduction in the attempt frequency for ionic hopping.
Figure 6 shows the conductivity data in the frequency range of 100 Hz–10 MHz on a double logarithmic scale at 500 K.
Online since: May 2014
Authors: Jing Fang Wang
Abstract.Non-stationary noise and strong background noise is difficult to extract the actual audio signal problem, an adaptive spectral reduction algorithm is proposed.
[19] Brady Laska, Miodrag Bolić, Rafik Goubran, Discrete cosine transform particle filter speech enhancement, Speech Communication,Volume 52, Issue 9, September 2010, Pages 762-775 [20] NOIZEUS: A noisy speech corpus for evaluation of speech enhancement algorithms http://www.utdallas.edu/~loizou/speech/noizeus/ [EB/OL] [21] Spib Noise data[EB/OL], http://spib.rice.edu/spib/select_noise.html [22] Ma, J., Hu, Y. and Loizou, P.
[19] Brady Laska, Miodrag Bolić, Rafik Goubran, Discrete cosine transform particle filter speech enhancement, Speech Communication,Volume 52, Issue 9, September 2010, Pages 762-775 [20] NOIZEUS: A noisy speech corpus for evaluation of speech enhancement algorithms http://www.utdallas.edu/~loizou/speech/noizeus/ [EB/OL] [21] Spib Noise data[EB/OL], http://spib.rice.edu/spib/select_noise.html [22] Ma, J., Hu, Y. and Loizou, P.