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Online since: June 2012
Authors: Wei Zhan Li, Xian Ying Yang
Based on the data performance analysis of the different schemes, aiming at weight reduction, cost deduction, and performance improvement, measuring weight coefficient of every object according to the importance for the lightweight scheme selection, the multi-objective optimization of the lightweight scheme selection was constructed [1].
Sometimes necessarily, the reverse engineering method will be used for the 3D data acquisition for simplying the parts data building. 3) Complex Structure; There are more link points in the structure between the parts.
By the Multi-Objective Oriented, we will proceed the function quantitative optimization design, interaction design, form feature design, CAD data building assembly and CAE.
It is presented by the CAD software. 4) Detail and Part Standard According to the objective of Reliability and the Maintainability, we built the structure data and exterior data by the CAD method.
In the assembly data, we evaluated the structure and the interference of the whole product.
Sometimes necessarily, the reverse engineering method will be used for the 3D data acquisition for simplying the parts data building. 3) Complex Structure; There are more link points in the structure between the parts.
By the Multi-Objective Oriented, we will proceed the function quantitative optimization design, interaction design, form feature design, CAD data building assembly and CAE.
It is presented by the CAD software. 4) Detail and Part Standard According to the objective of Reliability and the Maintainability, we built the structure data and exterior data by the CAD method.
In the assembly data, we evaluated the structure and the interference of the whole product.
Online since: February 2011
Authors: Ming Yun Lv, Jun Hui Meng, Dong Xu Liu, Yi Zhang, Zhao Jia
To facilitate data comparison, the sample will be recorded when warp tear extended to the tensile load denoted by the biaxial tensile strength.
The experimental data provided in Table 2 shows the wrap tensile load at failure value statistics for samples of different shape of incision.
This formula can be reduced to (2) As shown in Fig.4, the data of empirical formula does not fit with experimental data very well.
The constants Cl and n can be measured by experimental data and calculated by using the least square method.
And b=1.18 is a constant, which can be figured out from test data and calculated by using the least squares method.
The experimental data provided in Table 2 shows the wrap tensile load at failure value statistics for samples of different shape of incision.
This formula can be reduced to (2) As shown in Fig.4, the data of empirical formula does not fit with experimental data very well.
The constants Cl and n can be measured by experimental data and calculated by using the least square method.
And b=1.18 is a constant, which can be figured out from test data and calculated by using the least squares method.
Online since: June 2011
Authors: Wei Wang, Hui Yan Wang, Shen Jie Jia, Shi Min Wei
Disaster prevention, disaster reduction,and disaster rescue are important parts of the national public safety.
With different data acquisition, an increase in the volume of data comes.
All of data and processing resource is opened for the community through a web portal.Grid-based data processing platform receive distinct instuctions operating over different data sets from dinstinet data streams derived from the same data space shared by all processors.
The frequency of overall the robot’s routine was 1Hz and odometers data was obtained at 1Hz.
The sensor data were sent every 0.1 second.
With different data acquisition, an increase in the volume of data comes.
All of data and processing resource is opened for the community through a web portal.Grid-based data processing platform receive distinct instuctions operating over different data sets from dinstinet data streams derived from the same data space shared by all processors.
The frequency of overall the robot’s routine was 1Hz and odometers data was obtained at 1Hz.
The sensor data were sent every 0.1 second.
Online since: March 2012
Authors: Xiu Qiao Sun
Grey correlation method is not strict to the probability distribution and data capacity, so the raw data capacity can be less[5-8].
The method use the less known data can find them regularity[9,10].
The original data is shown in Table 1.
Calculate Table 1 data, then get the Table 2.
(4) Where i=1,2,…,5; is the i row and j column data in the original data table.
The method use the less known data can find them regularity[9,10].
The original data is shown in Table 1.
Calculate Table 1 data, then get the Table 2.
(4) Where i=1,2,…,5; is the i row and j column data in the original data table.
Online since: February 2012
Authors: Zhuo Zhang, Qi Lan, Yan Jun Wang
The valuable knowledge results perennially accumulated by the design units are difficult to be directly applied, and the manufacturer data import is of great difficulty, which could easily lead to the fault and system island of the knowledge management
It is not feasible to limit the life cycle management and the digital transfer to a single data platform.
The statistical analysis It provides the owners with the engineering data of the 3D model.
It accurately makes data statistics, especially the pipe, cable length and so on, so as to achieve the effective control of building cost.
The digital transfer The final version of the engineering design is submitted to the units that need the data according to certain rules, and it can be separately provided by the professional module and functional module and other classification ways.
It is not feasible to limit the life cycle management and the digital transfer to a single data platform.
The statistical analysis It provides the owners with the engineering data of the 3D model.
It accurately makes data statistics, especially the pipe, cable length and so on, so as to achieve the effective control of building cost.
The digital transfer The final version of the engineering design is submitted to the units that need the data according to certain rules, and it can be separately provided by the professional module and functional module and other classification ways.
Online since: July 2012
Authors: Jing Zhang, Rong Rong Xiao, Hai Qing Liu
Data Fitting using NURBS.
Given a set of data points F in the plane, we compute a planar NURBS curve to approximate the points.
The given data is assumed to represent the shape of a know curve, which can be open or closed but not self intersecting.
For processing the whole data S.A is taking huge amount of CPU time.
For approximating curve and surface for the scanned data NURBS has been used.
Given a set of data points F in the plane, we compute a planar NURBS curve to approximate the points.
The given data is assumed to represent the shape of a know curve, which can be open or closed but not self intersecting.
For processing the whole data S.A is taking huge amount of CPU time.
For approximating curve and surface for the scanned data NURBS has been used.
Online since: May 2014
Authors: Yu Ren Wu, Hsueh Chien Hou
The transient response results were compared with measurement data under the practical application to verify reliability and equivalence of the constructed CAE model.
The experimental measurement data is also presented to validate the simulated results in this paper.
The simulated frequency spectrum shows well coincident to the practical data.
The harmonic frequencies of gear pair II, 213.83 Hz, 427.57 Hz, 640.88 Hz and 849.64 Hz, can also be seen in the frequency spectrum which is coincident with the practical measurement data.
Acknowledgement The authors would like to thank National Science Council and Hanbell company in Taiwan for supporting financial provision in the project, NSC 100-2622-E-194-006-CC2, and Shang-Ho Gear machinery company in Taiwan for kind data support.
The experimental measurement data is also presented to validate the simulated results in this paper.
The simulated frequency spectrum shows well coincident to the practical data.
The harmonic frequencies of gear pair II, 213.83 Hz, 427.57 Hz, 640.88 Hz and 849.64 Hz, can also be seen in the frequency spectrum which is coincident with the practical measurement data.
Acknowledgement The authors would like to thank National Science Council and Hanbell company in Taiwan for supporting financial provision in the project, NSC 100-2622-E-194-006-CC2, and Shang-Ho Gear machinery company in Taiwan for kind data support.
Online since: January 2006
Authors: Yuriy Perlovich, Margarita Isaenkova, Igor V. Alexandrov, Vladimir Fesenko, M. Grekhov, Irene J. Beyerlein
New data on structure and texture features of Cu and Ti rods, subjected to ECAP at 20oC
and 400
oC respectively, were obtained by means of advanced X-ray diffractometric methods.
Introduction Though structure and texture formation under equal-channel angular pressing (ECAP) is now the main topic of numerous studies, still a number of questions remains to be considered more accurately on the basis of additional experimental data.
According to presented data, elastic microstrain Fd/dav at least by 5 times exceeds maximal values of lattice distortion g, being equal to - 0.50% and 0.10%, respectively
This conclusion, based on experimental data, agree with the simulated deformation field [6], where elongated cells within top and bottom regions of the cross-section are tilted relative to axis X by different angles.
It is evident from texture data, that the most disordered deformation process and the turbulent plastic flow take place within B-region.
Introduction Though structure and texture formation under equal-channel angular pressing (ECAP) is now the main topic of numerous studies, still a number of questions remains to be considered more accurately on the basis of additional experimental data.
According to presented data, elastic microstrain Fd/dav at least by 5 times exceeds maximal values of lattice distortion g, being equal to - 0.50% and 0.10%, respectively
This conclusion, based on experimental data, agree with the simulated deformation field [6], where elongated cells within top and bottom regions of the cross-section are tilted relative to axis X by different angles.
It is evident from texture data, that the most disordered deformation process and the turbulent plastic flow take place within B-region.
Online since: September 2016
Authors: Bibhuti Bhusan Biswal, M.V.A. Raju Bahubalendruni, Praniket Prakash Chauhan, Radharani Nayak
Introduction and Literature Review
With the inception of Rapid Prototyping (RP) a complete revolution in manufacturing industry was witnessed as the RP could directly manufacture parts from computer data.
As .STL file is the universally accepted data format for giving input to any RP machine, the method uses .STL format as input and generates another .STL file of the required geometry.
Fig. 5 Process flowchart for phase -1 The data of these newly formed vertices, facets and facet normal are then arranged in a proper format that represents the.
All the five models were then fed to the Stratasys’s Mojo 3D printer and the data for material requirement and build time were captured using the Mojo software.
All the data is tabulated below: Table 2 Detailed result from the Mojo software Sl.
As .STL file is the universally accepted data format for giving input to any RP machine, the method uses .STL format as input and generates another .STL file of the required geometry.
Fig. 5 Process flowchart for phase -1 The data of these newly formed vertices, facets and facet normal are then arranged in a proper format that represents the.
All the five models were then fed to the Stratasys’s Mojo 3D printer and the data for material requirement and build time were captured using the Mojo software.
All the data is tabulated below: Table 2 Detailed result from the Mojo software Sl.
Online since: December 2014
Authors: Sheng Li Zhu, Zhi Fa Yu, Shu Wang Yan
Through the organization and analysis of the data of several ultrahigh energy dynamic compaction projects, the opinion that the judgment method of vibration acceleration exists flaws is proposed.
Analysis Based on the data of table 1~4, vibration velocity ~ distance attenuation curve, and vibration acceleration ~ distance attenuation curve are drawn, see figure 1 and 2.
Affected Distance of Ultrahigh Energy Dynamic Compaction To research the law of the affected distance of high energy dynamic compaction, the author collects the data of several high energy dynamic compaction projects, and calculates the affected safety distance with the two methods.
Engineering Geological Condition Tamping Energy(kN.m) Safety Distance(m) Judgment Method 1 Some Engineering in Qingyang City, Gansu[4] Loess 15000 55 Velocity 2 Some Coastal Engineering[5] Backfill sand gravel 10000 58.9 Acceleration 3 Some Qingdao Engineering[6] / 8000 45 Velocity 4 Some Engineering in Qingyang City, Gansu Province[7] Silty clay 8000 42 Velocity 12000 34 Velocity 15000 49 Velocity 5 Some Dynamic Compaction Engineeirng[8] Sand gravel 10000 25 Acceleration 16000 27.7 Acceleration 6 ome engineering in Caofeidian, Tangshan[9] Backfill sand, fine sand 8000 118 Acceleration 12000 83.4 Acceleration 7 Some oil tank engineering in Jinzhou Backfill aggregate 12000 39.1 Velocity 12000 48.2 Acceleration 15000 59.2 Velocity 15000 51.0 Acceleration Based on the data of table 8, figure 3 is drawn.
(a) (b) (a)Vibration Velocity Judgment Method;(b)Vibration Acceleration Judgment Method Fig. 3 Tamping Energy ~ Distance Curve Obtained from Different Calculation Methods From figure 3, we can see that no good regularity is presented due to limited quantity of data collected and the influence of geological conditions and others on seismic wave when transmitting.
Analysis Based on the data of table 1~4, vibration velocity ~ distance attenuation curve, and vibration acceleration ~ distance attenuation curve are drawn, see figure 1 and 2.
Affected Distance of Ultrahigh Energy Dynamic Compaction To research the law of the affected distance of high energy dynamic compaction, the author collects the data of several high energy dynamic compaction projects, and calculates the affected safety distance with the two methods.
Engineering Geological Condition Tamping Energy(kN.m) Safety Distance(m) Judgment Method 1 Some Engineering in Qingyang City, Gansu[4] Loess 15000 55 Velocity 2 Some Coastal Engineering[5] Backfill sand gravel 10000 58.9 Acceleration 3 Some Qingdao Engineering[6] / 8000 45 Velocity 4 Some Engineering in Qingyang City, Gansu Province[7] Silty clay 8000 42 Velocity 12000 34 Velocity 15000 49 Velocity 5 Some Dynamic Compaction Engineeirng[8] Sand gravel 10000 25 Acceleration 16000 27.7 Acceleration 6 ome engineering in Caofeidian, Tangshan[9] Backfill sand, fine sand 8000 118 Acceleration 12000 83.4 Acceleration 7 Some oil tank engineering in Jinzhou Backfill aggregate 12000 39.1 Velocity 12000 48.2 Acceleration 15000 59.2 Velocity 15000 51.0 Acceleration Based on the data of table 8, figure 3 is drawn.
(a) (b) (a)Vibration Velocity Judgment Method;(b)Vibration Acceleration Judgment Method Fig. 3 Tamping Energy ~ Distance Curve Obtained from Different Calculation Methods From figure 3, we can see that no good regularity is presented due to limited quantity of data collected and the influence of geological conditions and others on seismic wave when transmitting.