FAERO TECHNOLOGY

THE TECHNICAL PROBLEM

As aerospace systems become increasingly advanced, their development is also becoming more complex. Yet the engineering process remains largely unchanged. In particular, design and simulation workflows remains inefficient. Despite accounting for up to 40% of total development costs and timelines, engineering teams still struggle significant challenges, including:

    Limited design exploration
    Slow simulations
    Manual optimization workflows

    THE INNOVATIVE SOLUTION

    To address the challenges above, FAERO integrates design and simulation workflows into one unified opitmization platform, the Ogawa Nexus (ON). The ON enables more efficient aerospace system development, reducing total costs and timelines by up to 25%, while advancing innovation.

    It delivers value across three key areas of aerospace development: design exploration, simulation, and optimization. In an automated workflow, the ON can explore over 1,000 design variations from a single baseline design. Additionally, it significantly accelerates CFD simulations through its advanced metamodeling capabilities. Finally, it automatically generates optimized designs based on user-defined objectives and constraints.

    Additionally, the ON platform is designed for seamless industry integration. It is compatible with leading computational solvers, including ANSYS Fluent and OpenFOAM. Once users define the design parameters and solver setup, the optimization workflow can be initiated with a single click of the Run button.

    The ON operates through an automated six-step iterative optimization process:

    • Design Definition: Users define the design parameters and solver setup
    • Initial Simulations: Initial simulations generate training datasets
    • Metamodeling: Deep learning models approximate simulation results
    • Global Optimization: Optimization searches the best solutions in the design space
    • Validation: High-fidelity simulations validate optimized solutions
    • Evaluation: Engineers select the best-performing designs

    In summary, the ON is a next-generation optimization platform that enables users to:

    Explore1000+ design variations
    Accelerate simulations and evaluations
    Automate optimization workflow

    TECHNICAL PROOF

    The ON platform was developed and applied through aerospace engineering research at Kyushu University, Japan, and its technical accuracy has been validated through peer-reviewed scientific publications. The following are a few publications where the ON is applied.

    • Ogawa, H., et al. “Nozzle Design Optimization for Axisymmetric Scramjets by Using Surrogate-Assisted Evolutionary Algorithms.” Journal of Propulsion and Power, Vol. 28, No. 6, 2012, pp. 1266–1278. https://doi.org/10.2514/1.B34482
    • Ogawa, H., et al. “Numerical Investigation of Upstream Fuel Injection through Various Injector Geometries in a Supersonic Crossflow.” AIAA SciTech Forum, AIAA Paper 2021 1960, 2021. https://doi.org/10.2514/6.2021-1960
    • Ogawa, H., et al. “Numerical Investigation of Upstream Fuel Injection through Various Injector Geometries in a Supersonic Crossflow.” 53rd AIAA Aerospace Sciences Meeting, AIAA Paper 2015-0884, 2015. https://doi.org/10.2514/6.2015-0884
    • Ogawa, H., et al. “Physical Insight into Scramjet Inlet Behavior via Multi-Objective Design Optimization.” AIAA Journal, Vol. 50, No. 8, 2012, pp. 1773–1783. https://doi.org/10.2514/1.J051644

    TECHNICAL PROOF


    The ON platform was developed and applied through aerospace engineering research at Kyushu University, Japan, and its technical accuracy has been validated through peer-reviewed scientific publications. The following are a few publications where the ON is applied.

    • Ogawa, H., et al. “Nozzle Design Optimization for Axisymmetric Scramjets by Using Surrogate-Assisted Evolutionary Algorithms.” Journal of Propulsion and Power, Vol. 28, No. 6, 2012, pp. 1266–1278. https://doi.org/10.2514/1.B34482
    • Ogawa, H., et al. “Numerical Investigation of Upstream Fuel Injection through Various Injector Geometries in a Supersonic Crossflow.” AIAA SciTech Forum, AIAA Paper 2021 1960, 2021. https://doi.org/10.2514/6.2021-1960
    • Ogawa, H., et al. “Numerical Investigation of Upstream Fuel Injection through Various Injector Geometries in a Supersonic Crossflow.” 53rd AIAA Aerospace Sciences Meeting, AIAA Paper 2015-0884, 2015. https://doi.org/10.2514/6.2015-0884
    • Ogawa, H., et al. “Physical Insight into Scramjet Inlet Behavior via Multi-Objective Design Optimization.” AIAA Journal, Vol. 50, No. 8, 2012, pp. 1773–1783. https://doi.org/10.2514/1.J051644

    TECHNICAL ROADMAP

    FAERO's technical roadmap consists of three phases. In the initial phase, FAERO will deploy the Ogawa Nexus (ON) as part of its engineering services, supporting design, simulation, and optimization processes within the aerospace industry. In the second phase, FAERO will develop the Ogawa Nexus Software (ONS), a software platform that enables clients to directly access and utilize ON on their local computers, providing greater autonomy and flexibility in their optimization workflows. In the long term, FAERO aims to expand ONS into a comprehensive engineering software platform and extend the application of its technology beyond aerospace into other engineering-intensive industries.

    LET US OPTIMIZE YOUR DESIGN.

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