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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.
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.
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.
Online since: May 2021
Authors: Ze Peng Wang, Xin Tao Fu, Lian Xiang Ma
Fig. 1 Stress contour of uniaxial tensile simulation Fig. 2 Comparison between uniaxial tensile simulation data and test data of different constitutive models Equibiaxial tension simulation.
The simulation data of the improved model can be in good agreement with the experimental data, indicating that the improved eight-chain model can effectively characterize the stress-strain behavior under biaxial tension.
It is found that the new model can accurately represent the test data in small deformation (strain < 0.6), but there is still an obvious error between the simulation data and the experimental data in large deformation (strain > 0.6).
Fig. 8 shows the comparison of the simulated stress-strain data and experimental data of the two finite element models of the improved eight-chain model.
In this way, the final plane tensile data is the most reasonable.
Online since: November 2013
Authors: Tomáš Vorobeľ, Jozef Jurko, Anton Panda, Ján Duplák, Stanislav Fabian
Application of updated parameters for manufacturing company may refer to significant reduction of engineering times, improving the material flow and the other factors, but it is mainly costs saving.
This material is usable for actuator (actuators and reduction gears) too.
Isakov,” Cutting Data for turning of steel,” Industrial Press,Inc. 989 Avenue of the Americas New York, NY 10018, pp. 316, 2009, ISBN 978 – 0 – 8311- 3314-6 [3] E.D.
Online since: June 2025
Authors: Ou Yang Kun, Guan Yu Wang, Ying Qiao Liu, Xue Can Li, Yun Bo Yan
As-deposited Ti72’s tensile properties with comparative data from the literature also provided [21].
Fatigue characterization of composites, detailed in Reference 2, involved testing four geometries to assess data variability and issues like buckling under fatigue loading.
The fatigue strength of these ceramics was found to be between 1.5 GPa and 2.5 GPa as deduced from the experimental data with certain details about their behavior.
The data show that the combination of TPMS scaffolds and SiOC ceramics significantly improves the specific strength and thermal properties of the materials.
Guo, “Usage pattern analysis of Beijing private electric vehicles based on real-world data,” Energy, vol. 167, pp. 1074–1085, Jan. 2019, doi: 10.1016/j.energy.2018.11.005
Online since: November 2010
Authors: Dong Xiang, Guang Hong Duan, Ye Hong Dong
Expectation Maximization (EM) algorithm is introduced in case of missing data, making BN model flexible to learn from incomplete data set.
BN model is able to evolve with continually obtained data to eliminate the error.
The data from product line were collected, covering 23 types and for each 3 to 6 items of data were obtained, totally getting 81 items and evenly dividing into 9 groups randomly.
Least square method was employed to determine the coefficient with DOE data merging with the 8 group data used in BN model evolving.
The training data set was the same as that of linear regression model.
Online since: September 2013
Authors: Ting Li, Jian Hua Xiao
By the end of 2010, the Jiangmen's informatization index has reached 85.67%, has built the broadband multimedia integrated information network which combine data and voice with image, as well as integrated access network with double-direction optical fiber transmission and television double-direction circle broadband, has completed the optical fiber backbone network and broadband access network which connect the Wuyi district to the towns and administrative villages[1].
Table 1 E-commerce Service Platform Professional logistics public service platform E-commerce service platform Jiangmen electronic customs clearance platform E-commerce platform for small and medium-sized enterprises Mail data exchange platform of Jiangmen The small and medium-sized enterprise service network Logistics public service platform of Jiangmen Merchant network Logistics network Travel network The Implementation of E-commerce in Jiangmen Jiangmen is one of the famous hometown of overseas Chinese.
According to the data of overseas Chinese Affairs Bureau of Jiangmen, the overseas Chinese enterprises in our city is more than 3600, accounted for more than 80% of the foreign investment, representing about 1/3 of the city's total tax, about 1/3 of the city's total gross industrial production[3].
On the basis of the impact factor, we compare the e-commerce development level of Jiangmen with other city in Guangdong, the data are shown in table 2.
According to table 3, the cumulative contribution rate of the first three principal componentshas has reached 88.148%, that means the first three principal components has been the basically contains all the indicators of information, and the reduction effect is good, so we choose the first three principles.
Online since: October 2010
Authors: Er Shun Pan, Yao Jin, Hu Xu, Wen Zhu Liao
Thus, a combined model with BPNN and GA is proposed for parameters optimization and contributes to reduction of decision time of input parameter for reflow soldering profile.
The setting ranges of the other influential parameters are given in Table 1. 92 sets of data obtained from plant are used for network model training and testing.
Among them, 84 sets of data are used for training and the rest 8 sets of data are used for testing.
The data are shown in Table 3.
Online since: November 2015
Authors: Grzegorz Ćwikła, Wacław Banaś, Krzysztof Kalinowski, Cezary Grabowik, Witold Janik
In a result, depth of the cut became important factor in order to prepare technological operation with time reduction.
The proper quality of final product is not only based on proper catting parameters fitting but it also depends on a machine accuracy, vibration reduction [9], thermal stabilization etc.
[3]http://www.quadrantplastics.com/fileadmin/quadrant/documents/QEPP/EU/Product_Data_Sheets_PDF/GEP/Ertalon_6_PLA_PDS_E_25012011.pdf, accessed: 27.03.2015 [4]http://www.quadrantplastics.com/fileadmin/quadrant/documents/QEPP/EU/Product_Data_Sheets_PDF/GEP/Ertalon_LFX_PDS_E_25012011.pdf, accessed: 27.03.2015 [5] http://teppplastics.com/pdf/datasheets/NYLATRONGSM.pdf, accessed: 27.03.2015 [6] http://www.schwartz-plastic.eu/fileadmin/Downloads/Material_data_sheet.pdf, accessed: 27. 03. 2015 [7] A.
Dymarek, Passive Reduction in the Identified Vibrations of the Machine Drive System in the Form of Multistage Gear Units.
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