Aircraft systems integration

In this webinar, you will learn how to use an integrated system simulation methodology for innovative aircraft design. Discover how you can address aircraft systems complexity and interconnectivity with a multidisciplinary, integrated system simulation approach to gain a sustainable competitive advantage.

Aircraft system design

Aviation is experiencing a wave of innovations in engine and aircraft design to reply to new trends for sustainability and mobility. Electrification, hydrogen-powered aircraft and digitalization are among the factors defining the future competitive advantage of any incumbent or a new entrant in the aviation sector.

To address these key challenges, dedicated approaches are to be applied where simulation plays a central role all along the design process. From conceptual, preliminary and detail design phases, use of modeling and simulation at system level results in shorter development time and reduced risk while removing silos between disciplines and applications.

Modeling and simulation for aircraft system design

Learn how to:

• Optimize the physical behavior of the systems composing a future aircraft: fluid actuation, electric power and networks, thermal management, cabin comfort, electromagnetics and more
• Implement a scalable modeling approach, from component level to integrated aircraft and from low- to high-fidelity representations
• Use a model-based systems approach to obtain an integrated simulation model of flying concepts
• Adopt a digital twin approach to support all development phases – from early concept, trade-off studies and detailed design to verification and certification processes

Aircraft system simulation – Diamond Aircraft use case

Review a use case for aircraft system simulation demonstrating fuel tank optimization in extreme flight conditions. See how Diamond Aircraft Industries, together with ACAM Engineering, create an optimized design of wing-integral tanks to ensure fuel supply in extreme flight conditions – without unduly lengthening the refueling process.

Find out how to:

• Model complex tanks and fuel systems from CAD data
• Analyze refueling, spinning and inverted flight on tank fuel dynamic state