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Generating of STL Models of Plastic Part and its Effect on the Final Accuracy in Computed Tomography
Online since: April 2019
Authors: Michaela Kritikos Samardziova
Format Specifications
An STL file consists of a list of facet data.
CALYPSO software (Fig. 6) was used for data evaluation in both cases.
It depends on the performance of the machine used for getting data.
STL data generating by different methods (quick, precise, normal). 5.
New method of getting data is using of X – ray technology.
CALYPSO software (Fig. 6) was used for data evaluation in both cases.
It depends on the performance of the machine used for getting data.
STL data generating by different methods (quick, precise, normal). 5.
New method of getting data is using of X – ray technology.
Online since: September 2011
Authors: Wen Chuan Jia, Fang Yuan, Lei Zhou, Wei Jiang, Xin Luo
As can be seen from Fig. 5, the calculation process inside template is driven by both control flow and data flow.
Control flow represents the predetermined calculation process according to algorithm and empirical formulas while data flow represents data input and output in every module.
Interface data are usually classified into three kinds: initialize data, adjustable data and results data.
Data type can be marked clearly according to data flow diagram.
The calculation process inside the model template is driven by separated control flow and data flow.
Control flow represents the predetermined calculation process according to algorithm and empirical formulas while data flow represents data input and output in every module.
Interface data are usually classified into three kinds: initialize data, adjustable data and results data.
Data type can be marked clearly according to data flow diagram.
The calculation process inside the model template is driven by separated control flow and data flow.
Online since: November 2014
Authors: Wen Kui Zheng, Man Jin
This computing platform includes basic data cloud,platform cloud and application cloud normally.
Therefore, building image cloud model consists of three different layers,essential data structure layer, the platform structure layer and application structure layer.
Since the accuracy rate of pixel in obtained mapped region is relatively low, it is not feasible to regard the contour pixels of entire map area as a data source, can only compare the error of known pixels with pixels which meet the condition .
Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment [J].SIAM Journal on Scientific Computing, 2004, (01):313-338
Data Clustering Algorithm and Software Design Based on Disturbance Searching of Logistic Series[J].
Therefore, building image cloud model consists of three different layers,essential data structure layer, the platform structure layer and application structure layer.
Since the accuracy rate of pixel in obtained mapped region is relatively low, it is not feasible to regard the contour pixels of entire map area as a data source, can only compare the error of known pixels with pixels which meet the condition .
Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment [J].SIAM Journal on Scientific Computing, 2004, (01):313-338
Data Clustering Algorithm and Software Design Based on Disturbance Searching of Logistic Series[J].
Online since: September 2014
Authors: Man Jin, Wen Kui Zheng
This computing platform includes basic data cloud,platform cloud and application cloud normally.
Therefore, building image cloud model consists of three different layers,essential data structure layer, the platform structure layer and application structure layer.
Since the accuracy rate of pixel in obtained mapped region is relatively low, it is not feasible to regard the contour pixels of entire map area as a data source, can only compare the error of known pixels with pixels which meet the condition .
Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment [J].SIAM Journal on Scientific Computing, 2004, (01):313-338
Data Clustering Algorithm and Software Design Based on Disturbance Searching of Logistic Series[J].
Therefore, building image cloud model consists of three different layers,essential data structure layer, the platform structure layer and application structure layer.
Since the accuracy rate of pixel in obtained mapped region is relatively low, it is not feasible to regard the contour pixels of entire map area as a data source, can only compare the error of known pixels with pixels which meet the condition .
Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment [J].SIAM Journal on Scientific Computing, 2004, (01):313-338
Data Clustering Algorithm and Software Design Based on Disturbance Searching of Logistic Series[J].
Online since: August 2007
Authors: Katsuyuki Tokimasa
The maximum reduction in
creep-fatigue life is beyond a factor of two in some combinations of ε∆ and γ∆ .
Fig.3 and Fig.4 show ppε∆MF versus Npp and ccε∆MF versus Ncc relationships obtained from proportional test data.
All experimental data were analyzed and correlated by the equivalent shear strain amplitude 2/ˆγ∆ given by Eq.4.
S is a material dependent parameter and defined by correlating uniaxial test data and cyclic torsion.
Though Eq.5 was originally proposed for proportional loading not for nonproportional loading, it was applied to all the experimental data in this paper.
Fig.3 and Fig.4 show ppε∆MF versus Npp and ccε∆MF versus Ncc relationships obtained from proportional test data.
All experimental data were analyzed and correlated by the equivalent shear strain amplitude 2/ˆγ∆ given by Eq.4.
S is a material dependent parameter and defined by correlating uniaxial test data and cyclic torsion.
Though Eq.5 was originally proposed for proportional loading not for nonproportional loading, it was applied to all the experimental data in this paper.
Online since: November 2012
Authors: Cai Wu Lu, Ying Feng Li, Fa Ben Li
Finally, used to the field datum from Luo’yang Molybdenum Co., Ltd., modeling and stress analyzing are finished by the software of MIDAS GTS.
In this paper, Wireframe model is directly imported to terrain data generator which is provided by MIDAS / GTS, and then generates the surface model of open-pit steps status quo, as shown in Figure 2; the solid model of cavities can be converted to common and standard STEP format through the INVENTOR of AUTODESK, and can be imported into MIDAS / GTS.
Import CAD status map which caused by the poly-line to terrain data builder to generate the surface status quo NURBS face; and then use surface status quo NURBS face to split the rock box model, retain only the lower part of the NURBS face which meet the reality of the mining area, as shown in Figure 2.
The properties of rock material According to the litho logical characteristics in Molybdenum ore open-pit mining site and with reference to the rock mechanics standards and relative experience, the size of the reduction factor of selected rock is as follows: Modulus of elasticity: Poisson's ratio: Angle of internal friction: The compressive and shear strength: Tensile strength: Table 1.
Rock mechanics parameters used in Theoretical and numerical calculations Rock Density (g/cm3) Compressive strength (MPa) Modulus of elasticity (GPa) Poisson's ratio Tensile strength (MPa) Shear strength (MPa) Internal friction angle (o) Marble 3.06 221.55 9.95 0.22 1.62 33.96 27.97 Silicon ash ShiJiao rock 3.19 160.0 9.96 0.21 2.24 32.5 28.08 Skarn 3.43 159.85 10.23 0.21 2.66 29.94 27.98 Average 3.23 180.47 10.05 0.21 2.17 32.13 28.02 According to the experimental report and the reduction factor, rock mechanics parameters used in theoretical and numerical calculations is deduced, as shown in Table 1.
In this paper, Wireframe model is directly imported to terrain data generator which is provided by MIDAS / GTS, and then generates the surface model of open-pit steps status quo, as shown in Figure 2; the solid model of cavities can be converted to common and standard STEP format through the INVENTOR of AUTODESK, and can be imported into MIDAS / GTS.
Import CAD status map which caused by the poly-line to terrain data builder to generate the surface status quo NURBS face; and then use surface status quo NURBS face to split the rock box model, retain only the lower part of the NURBS face which meet the reality of the mining area, as shown in Figure 2.
The properties of rock material According to the litho logical characteristics in Molybdenum ore open-pit mining site and with reference to the rock mechanics standards and relative experience, the size of the reduction factor of selected rock is as follows: Modulus of elasticity: Poisson's ratio: Angle of internal friction: The compressive and shear strength: Tensile strength: Table 1.
Rock mechanics parameters used in Theoretical and numerical calculations Rock Density (g/cm3) Compressive strength (MPa) Modulus of elasticity (GPa) Poisson's ratio Tensile strength (MPa) Shear strength (MPa) Internal friction angle (o) Marble 3.06 221.55 9.95 0.22 1.62 33.96 27.97 Silicon ash ShiJiao rock 3.19 160.0 9.96 0.21 2.24 32.5 28.08 Skarn 3.43 159.85 10.23 0.21 2.66 29.94 27.98 Average 3.23 180.47 10.05 0.21 2.17 32.13 28.02 According to the experimental report and the reduction factor, rock mechanics parameters used in theoretical and numerical calculations is deduced, as shown in Table 1.
Online since: December 2010
Authors: Nan Yao, Yi Sha Zhang, Yun Shi Yao, Zhen Zhao
Fig. 2 the common problem in cutting, assembly and welding
6quality control method
On the basis of quantitative analysis, 6quality control method analyze the problems existing in the process monitoring in the form of data.
Data measurement Data collection and arrangement Whether is normal or not Data processing Process capability analysis Analysis of the causes and solutions Yes No Fig. 3 The steps of process capability analysis method Construction elements’ research of steel box girder Take the crest slab’s length recording data of steel box girder’s block unit in the New Hi-Tech Zone of Xi'an’ s Arterial road 4# bridge for example.
The test data is displayed from Table 1.
Table 1 Rest slab’s length recording data serial number allowable deviation (mm) control point’s number data analysis serial number allowable deviation(mm) control point’s number data analysis Xmax (mm) Xmin (mm) Xmax (mm) Xmax (mm) 1 2 +1.0 -2.0 5 2 -1.0 -2.0 2 2 -1.0 -2.0 6 2 -1.0 -2.0 3 2 0 -2.0 7 2 -1.0 -2.0 4 2 -1.0 -3.0 8 2 +2.0 -2.0 Through analyzing the data by the use of 6quality control method, the result is shown in Fig. 4.
Fig. 4 The scattergram of data Fig. 5 process capability figure Process capability analysis: over the calculation, the process ability index , nonconforming rate has reached , which come to outcome that the project quality stability can’t be guaranteed by the process capability.
Data measurement Data collection and arrangement Whether is normal or not Data processing Process capability analysis Analysis of the causes and solutions Yes No Fig. 3 The steps of process capability analysis method Construction elements’ research of steel box girder Take the crest slab’s length recording data of steel box girder’s block unit in the New Hi-Tech Zone of Xi'an’ s Arterial road 4# bridge for example.
The test data is displayed from Table 1.
Table 1 Rest slab’s length recording data serial number allowable deviation (mm) control point’s number data analysis serial number allowable deviation(mm) control point’s number data analysis Xmax (mm) Xmin (mm) Xmax (mm) Xmax (mm) 1 2 +1.0 -2.0 5 2 -1.0 -2.0 2 2 -1.0 -2.0 6 2 -1.0 -2.0 3 2 0 -2.0 7 2 -1.0 -2.0 4 2 -1.0 -3.0 8 2 +2.0 -2.0 Through analyzing the data by the use of 6quality control method, the result is shown in Fig. 4.
Fig. 4 The scattergram of data Fig. 5 process capability figure Process capability analysis: over the calculation, the process ability index , nonconforming rate has reached , which come to outcome that the project quality stability can’t be guaranteed by the process capability.
Online since: November 2016
Authors: Christin Tran, Florian Lingenfelser, Gunther Reinhart, Christian Gebbe, Johannes Glasschröder
The data instances have a length of 1500 points each.
The accuracy is simply defined as the fraction of the correctly classified data instances over all tested data instances.
Feature Extraction and Reduction Applied to Sensorless Drive Diagnosis.
In Data mining and knowledge discovery handbook (pp. 131-146).
In Data Mining (pp. 237-263).
The accuracy is simply defined as the fraction of the correctly classified data instances over all tested data instances.
Feature Extraction and Reduction Applied to Sensorless Drive Diagnosis.
In Data mining and knowledge discovery handbook (pp. 131-146).
In Data Mining (pp. 237-263).
Online since: May 2020
Authors: Yevgen Smyrnov, Vitalii Skliar, Aleksei Gorozhankin
Calculation data of the limiting drawing ratio μr demonstrated that its value must not exceed 1.475.
Plastic properties of cooper rod of 8 mm diameter Copper grade Test temperature (°С) and ductility parameter (%) 20,0 800÷850 δ ψ δ ψ KM 41.0 91.0 70.0 99.0 KMor 40.0 87.5 19.0 43.0 Discussion The analysis of the data presented in Table 2 demonstrated that at room temperature (20 °С) the plastic properties of the KM and KMor rods were practically not distinguished by both the specific elongation index δ (average values were 41 and 40% respectively) and the after-fracture contraction index ψ (average values were 91 and 85.7% respectively).
Firstly, owing to the ductility reduction the portion number decreased from 6 to 4.
Smyrnov, V.A Skliar, Features of Deformation of Partly Crystallization Blooms at their Two-Stage Soft Reduction, Materials Science Forum. 704 (2012) 1-5
Plastic properties of cooper rod of 8 mm diameter Copper grade Test temperature (°С) and ductility parameter (%) 20,0 800÷850 δ ψ δ ψ KM 41.0 91.0 70.0 99.0 KMor 40.0 87.5 19.0 43.0 Discussion The analysis of the data presented in Table 2 demonstrated that at room temperature (20 °С) the plastic properties of the KM and KMor rods were practically not distinguished by both the specific elongation index δ (average values were 41 and 40% respectively) and the after-fracture contraction index ψ (average values were 91 and 85.7% respectively).
Firstly, owing to the ductility reduction the portion number decreased from 6 to 4.
Smyrnov, V.A Skliar, Features of Deformation of Partly Crystallization Blooms at their Two-Stage Soft Reduction, Materials Science Forum. 704 (2012) 1-5
Online since: December 2014
Authors: Hang Yang, Zhao Han, Li Xu, Yi Fan Zhu
In order to create business opportunities, the system can analysis data deeply, which found that the most valuable customers, new markets and potential customers.
The scalable and attachable system can achieve timely data exchange with suppliers.
Many other tables are set to get spilt and structed data from two tables disscussed above.
Table 2 Class and methods of web application class method Function description Client Indexajax Handle Ajax requests from other pages opensharedo Open or close a sharing request openshare View shared user openshareajax Sharing data request Openshare_company_detail Sharing information Details Openshare_contact_list Sharing contact information Clientadd New customers Clientedit Modify customer information Client_del Delete customer data to the Recyle Bin Reduction Restore operation Competence Cadd_do Added competence cedit Modify competence Cdel Delete competence data Role Roleadd_do New rights management roles roleedit Modify role information roledel Delete the rol of information System systemconfig System config Systemconfig_do Modify the system configuration Systemcore Core configuration Systemcore_do Core configuration changes Systemwebsite Site configuration Systemwebsite_do Site configuration changes with withadd Added with a single record Withadd_do Added with a single treatment withedit
Modified with a single Withedit_do Modified with a single treatent With_del Remove with a single User Useradd_do Increase user useredit Modify user Useredit_do Modify user process uedit Individual information modification Userdel Delete data In this way we can set up a B/S web application which provides user to use this CRM system.
The scalable and attachable system can achieve timely data exchange with suppliers.
Many other tables are set to get spilt and structed data from two tables disscussed above.
Table 2 Class and methods of web application class method Function description Client Indexajax Handle Ajax requests from other pages opensharedo Open or close a sharing request openshare View shared user openshareajax Sharing data request Openshare_company_detail Sharing information Details Openshare_contact_list Sharing contact information Clientadd New customers Clientedit Modify customer information Client_del Delete customer data to the Recyle Bin Reduction Restore operation Competence Cadd_do Added competence cedit Modify competence Cdel Delete competence data Role Roleadd_do New rights management roles roleedit Modify role information roledel Delete the rol of information System systemconfig System config Systemconfig_do Modify the system configuration Systemcore Core configuration Systemcore_do Core configuration changes Systemwebsite Site configuration Systemwebsite_do Site configuration changes with withadd Added with a single record Withadd_do Added with a single treatment withedit
Modified with a single Withedit_do Modified with a single treatent With_del Remove with a single User Useradd_do Increase user useredit Modify user Useredit_do Modify user process uedit Individual information modification Userdel Delete data In this way we can set up a B/S web application which provides user to use this CRM system.