The aerospace industry is at a point where components are reaching design maturity and performance improvements are incremental. Aggressive goals to achieve sustainability and the threat of climate change necessitate a new paradigm. An artificial intelligence (AI) approach that enables revolutionary changes in system architecture, mission analysis and performance metrics is needed. The growing interest and development in the field of machine learning presents an opportunity to speed up by 10X or more the discovery, analysis and development of aerospace systems using artificial intelligence. Through IDEAS (Intelligent Design and Engineering of Aerospace Systems) we are embarking on a research and development effort that addresses this opportunity. The objective of IDEAS is to enable design of systems based on requirements. We discuss possible approaches to generating data, training models and applying them to near term applications. Results of recent workshops with industry, academia and other agencies to identify challenges to adopting AI and machine learning are presented.


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    Titel :

    Embracing the fourth Industrial Revolution - Challenges, Opportunities and Path Forward for Propulsion


    Beteiligte:
    V. Shyam (Autor:in) / B. Weborg (Autor:in) / S. Nili (Autor:in) / P. Juangphanich (Autor:in) / H. Schilling (Autor:in) / C. Robinson (Autor:in) / K. Miki (Autor:in) / M. Vyas (Autor:in) / A. Mirhashemi (Autor:in) / J. Stuckner (Autor:in)

    Erscheinungsdatum :

    2021


    Format / Umfang :

    32 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch







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