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Embracing the Fourth Industrial Revolution - Challenges, Opportunities and Path Forward for PropulsionThe 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.
Document ID
20210026266
Acquisition Source
Glenn Research Center
Document Type
Presentation
Authors
Vikram Shyam
(Glenn Research Center Cleveland, Ohio, United States)
Brooke Weborg
(Glenn Research Center Cleveland, Ohio, United States)
Samaun Nili
(Glenn Research Center Cleveland, Ohio, United States)
Paht Juangphanich
(Glenn Research Center Cleveland, Ohio, United States)
Herbert Schilling
(Glenn Research Center Cleveland, Ohio, United States)
Calvin Robinson
(Glenn Research Center Cleveland, Ohio, United States)
Kenji Miki
(Glenn Research Center Cleveland, Ohio, United States)
Manan Vyas
(Glenn Research Center Cleveland, Ohio, United States)
Arman Mirhashemi
(Glenn Research Center Cleveland, Ohio, United States)
Joshua Stuckner
(Glenn Research Center Cleveland, Ohio, United States)
Ezra Mcnichols
(Glenn Research Center Cleveland, Ohio, United States)
Ajay Misra
(Glenn Research Center Cleveland, Ohio, United States)
Date Acquired
January 3, 2022
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Aeronautics (General)
Meeting Information
Meeting: AIAA SciTech Forum
Location: San Diego, CA
Country: US
Start Date: January 3, 2022
End Date: January 7, 2022
Sponsors: American Institute of Aeronautics and Astronautics, Lockheed Martin (United States), Boeing (United States)
Funding Number(s)
WBS: 081876.02.03.50.10.03.02
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
Single Expert
Keywords
Machine learning
Artificial Intelligence
Thermal management
IDEAS
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