Exploring model-based systems engineering (MBSE) in supersonic aircraft design

Webinar on demand | 62 minutos

Manage the complexity of aircraft design by integrating digital twin technology and model-based systems engineering

Using Digital twin and model-based systems engineering in aircraft design of supersonic jets
Using Digital twin and model-based systems engineering in aircraft design of supersonic jets

Recall when these industry innovations in Aerospace and defense (A&D) industry were once inconceivable: electric aircraft, urban taxis, space travel for tourism, supersonic flight. Today, these are becoming closer to reality. What were once far-flung ideas are being realized by companies embarking on digital transformation journeys. In this webinar, we will discuss how model-based systems engineering enables programs to embrace engineering challenges and soar to new heights.

Case study: the role of the digital twin and MBSE in aircraft design

Join us as we explore the digital journey of a team that leveraged the digital twin to design and build a supersonic jet, the engineering challenges they met along the way and where they are heading now.

In this webinar, you will learn:

  • The solutions Aerion is using in a complex environment with multiple suppliers
  • The design challenges Aerion has faced, and how they are using digital twin in their aircraft design
  • The value a digital twin provides the organization
  • How model-based systems engineering (MBSE) drives faster realization of A&D products

A closed-loop platform for aircraft design includes the comprehensive digital twin and MBSE

Intelligent, collaborative communication combined with MBSE and digital twin technology provide for data exchanges within the different engineering disciplines and collect data on an ongoing basis. Learn how your company can build a comprehensive data model from ideation to operation. Digitalization ensures a shorter time to market, greater flexibility, and increased efficiency. This gives companies the opportunity to respond successfully to the volatility and diversity of global markets and to increase their productivity.

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