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Online since: October 2022
Authors: Gurpreet Singh, Vivek Aggarwal, Sehijpal Singh, Rajiv Kumar Garg, Balkar Singh
Further, computer enabled machining centre made it possible to enhance the process capability through utilization of digital setup and real time data acquisition system.
Table 2 Experimental data Factor Units Low Level Medium Level High Level Output Responses Cutting Speed (v) m/s 1.25 (V1) 2 (V2) 3 (V3) Cutting force, Chip reduction coefficient Feed rate (f) mm/rev 0.112 (f1) 0.168 (f2) 0.246 (f3) Insert type - SNMG120408 (T1) CNMG120408 (T2) CNMG120412 (T3) Machining conditions - Dry (E1) and Minimum Quantity Lubrication (MQL) E2 Experimentation on cutting forces has been conducted with three different inserts like SNMG 120408, CNMG 120408 and CNMG 120412 using PSDNN 2525M12 and PCBNR 2525M12 tool holders.
The details of all input data has been shown in Table 4 enlisting 54 experiments with values of cutting forces and chip reduction coefficient.
Data have been collected as per the experimental observation and most appropriate value has been taken for the comparison purpose in all cases.
APPENDIX-1 Table 5 Data for Analytical Measurement of Cutting forces for SNMG120408 insert Sr No.
Table 2 Experimental data Factor Units Low Level Medium Level High Level Output Responses Cutting Speed (v) m/s 1.25 (V1) 2 (V2) 3 (V3) Cutting force, Chip reduction coefficient Feed rate (f) mm/rev 0.112 (f1) 0.168 (f2) 0.246 (f3) Insert type - SNMG120408 (T1) CNMG120408 (T2) CNMG120412 (T3) Machining conditions - Dry (E1) and Minimum Quantity Lubrication (MQL) E2 Experimentation on cutting forces has been conducted with three different inserts like SNMG 120408, CNMG 120408 and CNMG 120412 using PSDNN 2525M12 and PCBNR 2525M12 tool holders.
The details of all input data has been shown in Table 4 enlisting 54 experiments with values of cutting forces and chip reduction coefficient.
Data have been collected as per the experimental observation and most appropriate value has been taken for the comparison purpose in all cases.
APPENDIX-1 Table 5 Data for Analytical Measurement of Cutting forces for SNMG120408 insert Sr No.
Online since: August 2012
Authors: Marcos Flavio de Campos
Databases on diffusion coefficient data are incomplete and in many cases do not provide detailed information about data reliability.
A recent review by Kattner and Campbell [9] indicates many databases where diffusion data may be found.
But the diffusion data for rare-earth transition metals have not been determined with this method.
Data about diffusion in rare-earth atoms are very scarce, and most of the available data is about Cerium [12].
Other authors [49-52] have also published some diffusion data, which were included in Tables I and II.
A recent review by Kattner and Campbell [9] indicates many databases where diffusion data may be found.
But the diffusion data for rare-earth transition metals have not been determined with this method.
Data about diffusion in rare-earth atoms are very scarce, and most of the available data is about Cerium [12].
Other authors [49-52] have also published some diffusion data, which were included in Tables I and II.
Online since: March 2019
Authors: Theodor Staněk, Martin Boháč, Radoslav Novotný, Anežka Zezulová, Dana Kubátová, Alexandra Rybová
Implementation of high belite cement in cement production would have strong environmental impact in reduction CO2 emissions and saving of pure limestone deposits.
Introduction A major reason for using reactive high belite cement (HBC) instead of ordinary Portland cement (PC) is along with reduction of CO2 emissions improved durability mainly due to smaller proportion of portlandite Ca(OH)2 (CH) in the hydration products [1] and its low heat of hydration [2].
Data were processed using EVA software.
Combined TGA/DTA data were obtained using STA 449 F3 Jupiter (by Netzsch).
Introduction A major reason for using reactive high belite cement (HBC) instead of ordinary Portland cement (PC) is along with reduction of CO2 emissions improved durability mainly due to smaller proportion of portlandite Ca(OH)2 (CH) in the hydration products [1] and its low heat of hydration [2].
Data were processed using EVA software.
Combined TGA/DTA data were obtained using STA 449 F3 Jupiter (by Netzsch).
Online since: June 2009
Authors: Xiao Cong He
Fatigue test data were used in
conjunction with different modes to establish the relationship between temperature and other
parameters.
However, often the experimental data on rupture life under the actual operating stress and temperature may not be available as the generation of such data is highly time consuming and expensive.
Table 1 shows the elevanted-temperature data for the AISI347 stainless steel.
The correlation can be achieved by comparing fracture data from tests against the prediction obtained using the model estimated based on materials test data and simplifying assumptions.
Seeger, Materials Data for Cyclic Loading, Parts A-E, Elsevier, 1987 [11] R.J.
However, often the experimental data on rupture life under the actual operating stress and temperature may not be available as the generation of such data is highly time consuming and expensive.
Table 1 shows the elevanted-temperature data for the AISI347 stainless steel.
The correlation can be achieved by comparing fracture data from tests against the prediction obtained using the model estimated based on materials test data and simplifying assumptions.
Seeger, Materials Data for Cyclic Loading, Parts A-E, Elsevier, 1987 [11] R.J.
Online since: August 2016
Authors: Gerhard Hirt, Johannes Lohmar, Alexander Maximilian Krämer
Next the influence of the amount of data available for parameterization is investigated by determining how much experimental data can be neglected without increasing the deviation of StrucSim [8].
In addition, the correlation between the amount of data available for characterization and the model accuracy can be studied by disregarding specific amounts of the data during parameterization.
Fig. 6 shows that using about 50 % of the data does not increase the deviation.
StrucSim model is based on full data (line) and reduced data (dots).
Hirt, Using data sampling and inverse optimization for the reduction of the experimental effort in the characterization of hot working behaviour for a case hardening steel, Key Engineering Materials, 2015, pp. 1351-1356
In addition, the correlation between the amount of data available for characterization and the model accuracy can be studied by disregarding specific amounts of the data during parameterization.
Fig. 6 shows that using about 50 % of the data does not increase the deviation.
StrucSim model is based on full data (line) and reduced data (dots).
Hirt, Using data sampling and inverse optimization for the reduction of the experimental effort in the characterization of hot working behaviour for a case hardening steel, Key Engineering Materials, 2015, pp. 1351-1356
Online since: September 2014
Authors: A.L.A. Ribeiro, N. Mastelari, C.A. Cimini
The present study was directed to the use of conditioned piezoelectric sensors along with low cost commercial off-the shelf data acquisition system to implement a reliable impact localization method.
Data acquisition was performed with a simple low cost bus-powered USB data acquisition device, which could promptly be connected to a laptop and provide measurements.
Sensor wiring was extended with the help of connector joints, allowing for fast change of cabling between sensors and data acquisition device.
The moment of impact calculated using each sensor’s data must be equal, which motivates the use of the error function (E) given by Eq. 2
Jata: Point of impact prediction in isotropic and anisotropic plates from the acoustic emission data.
Data acquisition was performed with a simple low cost bus-powered USB data acquisition device, which could promptly be connected to a laptop and provide measurements.
Sensor wiring was extended with the help of connector joints, allowing for fast change of cabling between sensors and data acquisition device.
The moment of impact calculated using each sensor’s data must be equal, which motivates the use of the error function (E) given by Eq. 2
Jata: Point of impact prediction in isotropic and anisotropic plates from the acoustic emission data.
Online since: August 2011
Authors: Qing Yuan Meng, Yu Fei Gao, Xian Qin
Atomistic Simulations of Heat Transport in Carbon Nanotubes Effected by Temperature and Stretch Strain
Qingyuan Meng1, a, Yufei Gao1, b, Xian Qin1, c
1Harbin Institute of Technology, Harbin, China
aqym@hit.edu.cn, bgaoyufei1984@gmail.com, cyayaqx@sina.com
Keywords: Carbon nanotubes, Thermal transport properties, Quantum correction, Phonon density of state
Abstract
Carbon nanotubes (CNTs) is a well thermal transport nano materials, however, the thermal conductivity of CNTs has not been well established, only a few groups had reported experimental data and the existed simulation results ranged widely.
For materials such as diamond[4] or nanowires[5,6], an inhomogeneous phonon structure is generated for the reconstruction of surface phase, and the scattering of phonon will lead to a significant reduction of thermal transport properties.
And it leads to the reduction of thermal conductivity eventually.
In general, the decline of high frequency phonon peak value directly reflects the reduction of the high frequency phonon and the total phonon, and it significantly increases the proportion of phonon which has low frequency and long wavelength in the total phonon.
For materials such as diamond[4] or nanowires[5,6], an inhomogeneous phonon structure is generated for the reconstruction of surface phase, and the scattering of phonon will lead to a significant reduction of thermal transport properties.
And it leads to the reduction of thermal conductivity eventually.
In general, the decline of high frequency phonon peak value directly reflects the reduction of the high frequency phonon and the total phonon, and it significantly increases the proportion of phonon which has low frequency and long wavelength in the total phonon.
Online since: December 2013
Authors: Tomáš Lack, Juraj Gerlici
An important noise reduction of fright cars can be achieved by replacing the cast iron brake shoes by composite brake shoes.
The ground of technical support of data acquisition and data processing are two stations HBM MGC Plus Fig. 8.
Rrails tread measurement with MiniProf device Data acquisition, data processing and data assessment is performed by our own development environment and all the test stand control will be guarantee by software LaGer. 7.
The complete measure chain specification, data acquisition, data assessment and loading running – breaking collection specification is the result of the same team too.
The tests control, data acquisition and data assessment.
The ground of technical support of data acquisition and data processing are two stations HBM MGC Plus Fig. 8.
Rrails tread measurement with MiniProf device Data acquisition, data processing and data assessment is performed by our own development environment and all the test stand control will be guarantee by software LaGer. 7.
The complete measure chain specification, data acquisition, data assessment and loading running – breaking collection specification is the result of the same team too.
The tests control, data acquisition and data assessment.
Online since: September 2014
Authors: Jun Yan Liu, Shu Min Nie
This paper based on An office building in Dongying, uses Monitoring data to analyze, in order to gain an applicable Risk Management Practice.
l Monitoring data and analysis.
Data abnormality on June 15, and sharp data increase on June 19 and 21 Fig. 2 Displacement Increases on # 1 Point from June 12 to 21 l Alarming and Activating Contingency Plan.
In term of the risk analysis of deep foundation pit engineering, the analysis methods that are purely established on the statistical data are not feasible currently.
The system of monitoring data processing and predicting and alarm of deep pit engineering[J].
l Monitoring data and analysis.
Data abnormality on June 15, and sharp data increase on June 19 and 21 Fig. 2 Displacement Increases on # 1 Point from June 12 to 21 l Alarming and Activating Contingency Plan.
In term of the risk analysis of deep foundation pit engineering, the analysis methods that are purely established on the statistical data are not feasible currently.
The system of monitoring data processing and predicting and alarm of deep pit engineering[J].
Online since: November 2012
Authors: Yun Cheng, Qiao Lin Huang
The mainly current processing tasks of satellite are the functions of the image pre-processing mass data storage and format conversion, data compression and forwarding, automatic analysis of the raw data and the target feature extraction and etc, which are trying to rely on independent processing of satellite, to minimize ground intervention.
ORASIS can carry out the satellite hyper-spectral data for real-time automatic data analysis, feature extraction and 10:1 to 20:1 data compression and real-time tactical downlink observations and results from the satellite delivered directly to the battlefield.
IOBP directly from the payload controller sustained receive data with the speed of up to 160Mbit / s.
Conclusions With the development of sensor, remote platform, data communication technique, modern remote sensing technology has entered a phase which can provide global observation data dynamically, rapidly, accurately and multi-means.
So far, some of developed countries successfully manufactured space-borne remote data real-time processing system, realized functions such as pre-processing on satellite, massive data storage and format conversion, data compression and forwarding, automatically analyze raw data and target feature extraction and so on, widely applied in meteorology, resource, disaster mitigation and military spy area.
ORASIS can carry out the satellite hyper-spectral data for real-time automatic data analysis, feature extraction and 10:1 to 20:1 data compression and real-time tactical downlink observations and results from the satellite delivered directly to the battlefield.
IOBP directly from the payload controller sustained receive data with the speed of up to 160Mbit / s.
Conclusions With the development of sensor, remote platform, data communication technique, modern remote sensing technology has entered a phase which can provide global observation data dynamically, rapidly, accurately and multi-means.
So far, some of developed countries successfully manufactured space-borne remote data real-time processing system, realized functions such as pre-processing on satellite, massive data storage and format conversion, data compression and forwarding, automatically analyze raw data and target feature extraction and so on, widely applied in meteorology, resource, disaster mitigation and military spy area.