Integrated data management in complex product collaborative design

  • Authors:

  • Guoqi Feng;Dongliang Cui;Chengen Wang;Jiapeng Yu

  • Affiliations:

  • School of Business Administration, Northeastern University, Shenyang 110004, China;MOE Key Laboratory of Process Industry Automation, Northeastern University, Shenyang 110004, China and School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110004, Chin ...;MOE Key Laboratory of Process Industry Automation, Northeastern University, Shenyang 110004, China;MOE Key Laboratory of Process Industry Automation, Northeastern University, Shenyang 110004, China

  • Venue:
  • Computers in Industry
  • Year:
  • 2009

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Abstract

Scientific computing in complex product engineering design process has the characteristics of being tentative and iterative, which produces large scale intermediate data with heterogeneous formats and complex relationships, and the efficient organization and management of data becomes a bottleneck of product design performance. The concept of business component is introduced in this paper based on the modular analysis of the engineering process, and an integrated data management and storage framework is proposed for efficient heterogeneous design data management, in which XML schema, relational database and design files are synthesized. A network version management model is designed to enhance the design process and design object data management, which can describe both the individual object's evolution process and the inheritance relationships among multiple objects. Furthermore, key operations of version merge, submission and visualization are discussed. Finally the methods and technologies are implemented in an integrated management system for aerodynamic design of aero turbine engines (IMS-DATE).