Development of the Data Driven 3D Standard Part Library Based on Pro/E

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Abstract:

Aiming at the problems such as updating difficulty, searching slowly and calling inconveniently occurs in use of current 3D Standard Part Library, the method to classify Standard Part data by function and the corresponding operations of each type of classified Standard Part data are analyzed firstly based on the real application and management requirements of the 3D Standard Parts Data. Then, the conception and the architecture of the data driven 3D Standard Part library is discussed based on the goal such as quick retrieve, automatic modeling and dynamical update of the Standard Part data and the methods as well as the key technology to develop the data driven 3D Standard Part Library are discussed based on the Pro/E and Access.

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Periodical:

Advanced Materials Research (Volumes 756-759)

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2422-2427

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] He Jie, SHI Guang–lin. Method of Driving Object Model with Real - Time Data and Its Implementation [J]. Computer Simulation, 2007, 2(2): 199.

Google Scholar

[2] Cai Zhao-quan, LU Qing-wu, Zheng Zong-hui, Luo Wei. Design and Implementation of Rapid Development Platform Based on Metadata [J], Computer Engineering, 2009, 9(5): 60.

Google Scholar

[3] Zhao peng, Fan ming-hai, Hu zi-liu. Parts Database of Powder Metallurgy Mold Based on UG, Die &Mould Manufacture, 2005(11): 5.

Google Scholar

[4] Chen Zhang. Research on the Component Service Framework Based on Data-driven, Computer Engineering and Application, 2005, 18(9): 39.

Google Scholar

[5] Yao Chao. Program Development of Data-driven Forest Resource Management Information System, Journal of Southwest Forestry College, 2005, 2(6): 73.

Google Scholar

[6] Zhu ju, Wang Zhi-jian , Yang Xue. A Software Automation Test Frameworks Based on Data-Driven Automation Methodology, Computer Technology and Development, 2006, 5(5): 38.

Google Scholar