Continuous improvement of aerospace product development processes is a driving requirement across much of the aerospace community. As up to 90% of the cost of an aerospace product is committed during the first 10% of the development cycle, there is a strong emphasis on capturing, creating, and communicating better information (both requirements and performance) early in the product development process. The community has responded by pursuing the development of computer-based systems designed to enhance the decision-making capabilities of product development individuals and teams. Recently, the historical foci on sharing the geometrical representation and on configuration management are being augmented: Physics-based analysis tools for filling the design space database; Distributed computational resources to reduce response time and cost; Web-based technologies to relieve machine-dependence; and Artificial intelligence technologies to accelerate processes and reduce process variability. Activities such as the Advanced Design Technologies Testbed (ADTT) project at NASA Ames Research Center study the strengths and weaknesses of the technologies supporting each of these trends, as well as the overall impact of the combination of these trends on a product development event. Lessons learned and recommendations for future activities will be reported.


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    Title :

    Aerospace Engineering Systems



    Conference:

    8th International Symposium on Computational Fluid Dynamics ; 1999 ; Stockholm, Sweden
    8th International Symposium on Computational Fluid Dynamics ; 1999 ; Aachen, Germany
    8th International Symposium on Computational Fluid Dynamics ; 1999 ; Bremen, Germany


    Publication date :

    1999-01-01


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English




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