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white paper

Aerospace E/E Systems Design

Hone your competitive edge with system-driven electrical, electronics, network and software design.

With mission complexity in aerospace and defense increasing, the pressure to deliver innovative capabilities in record time – while optimizing costs and complying with ever-changing regulations – continues to build. To rise to these challenges, A&D design and development engineers need effective process management, multi-domain traceability and secure reporting for compliance.

Download this white paper to learn how to manage these pressures with solutions for E/E systems design.

Digitalization in E/E systems design

Digitalization enables advancements in aerospace E/E systems design to keep up with expanding requirements and complexity with greater control of resources, timelines and costs. In E/E systems development, digitalization is manifested by moving to a model-based approach. This means applying digital models of the platform’s mechanical and E/E systems to the development life cycle.

Benefits of MBSE in aerospace E/E systems design

E/E systems play a central role in imbuing platforms with new capabilities. The present scope and complexity of the E/E systems task – which extends across the electrical, electronic, software and networks domains – is relatively new to the industry and has led to a shift in program content. Historically, content design was the primary concern; now certification, validation and verification are equally critical.

With an MBSE approach to aerospace E/E systems design, a multi-disciplinary, electro-mechanical digital twin is created. This connects all the stages of E/E system development by a digital thread. This approach enables model-based architecture design and optimization, model-based domain implementation and model-based validation and verification.

MBSE in aerospace E/E systems design leads to fewer errors and faster design iterations, accelerating program completion. Read the whitepaper to learn more about these benefits, including how model-based engineering enhances design reuse, enables teams to understand inter-dependencies and streamline hand-offs between domains and ensures traceability across the design flow to support product certification.

Optimize aerospace E/E systems architecture

Capital empowers you to optimize aerospace E/E systems architecture. You can achieve significant reductions in downstream design and integration cycle time, with teams inventing different E/E system architectures and exploring their feasibility before implementing detailed design. Capital makes this possible by using information from MBSE environments, regardless of origin.

It consumes multi-domain system models, normalizing their data to enable the creation and optimization of a digital twin of the E/E system’s functional architecture. This architecture then drives electrical distribution, electronic, network and software development.

Generative design for aerospace

With Capital, you can generatively propose wiring for an entire platform. Wiring is synthesized using physical constraints, augmented by the rules that form the intellectual property of your organization. This provides a secondary benefit of capturing your heuristic IP in an executable framework, increasing your ability to preserve tribal knowledge.

Find out how the ability to generate, or synthesize, complete and/or proposed artifacts throughout the E/E systems development process saves engineering time and reduces engineering errors. This white paper explores key capabilities and includes a case study about publications' success in business jets.

Aerospace E/E systems digital twin

For aerospace E/E systems development you shouldn’t settle for anything less than a comprehensive digital twin. We extend the E/E systems digital twin to include models of the platform’s networks and software architecture.

This portion of the E/E systems development process addresses the challenge of modern software’s increasing amount, complexity and intercommunication requirements. Each design step attaches to a software-centric data and process management framework, ensuring the highest level of collaboration across the development flow while collecting the necessary compliance evidence to shorten the path to software certification.