MBSE in Architecture Design Space Exploration

Bussemaker, Jasper; Ciampa, Pier Davide

doi:10.1007/978-3-030-27486-3_36-1

Cited by 13 publications

(9 citation statements)

References 31 publications

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“…In addition, operational scenarios can be modeled using Capella 4 . Modeling, visualizing, and inspecting the architecture design space is done using ADORE (Bussemaker, Boggero & Ciampa 2022) (DLR), a web-based editing environment accessible through the OCE. ADORE architecture design space models are initialized from boundary functions defined in the OCE design study, thereby establishing a link between the requirements definition and system architecting steps.…”

Section: Implementation In the Operational Collaborative Environmentmentioning

confidence: 99%

“…Selection of design competences and connecting MBSE models to MDAO workflows can be done using the Requirements Verification Framework (RVF) (Bruggeman et al 2022) (Delft University of Technology) and MultiLinQ (Bussemaker, Boggero & Ciampa 2022) (DLR). RVF is embedded in the OCE user interface and enables the system engineer to link requirement parameters to the central data schema used in the MDAO workflow.…”

Section: Implementation In the Operational Collaborative Environmentmentioning

confidence: 99%

“…This is done by elaborating on functional requirements by defining use cases, and from that extracting boundary functions, such as "Contain Passengers", "Regulate Temperature", and "Transport Passengers". The functional architecture forms the basis for the logical architecture design space model created using ADORE (Bussemaker, Boggero & Ciampa 2022). This design space model assigns aircraft components to aircraft-level functions, and models component sharing choices, such as whether wings, engines, landing gear, on-board systems, or the empennage should be shared between aircraft or not.…”

Section: Showcase: Designing a Family Of Business Jetsmentioning

confidence: 99%

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The AGILE 4.0 Project: MBSE to Support Cyber‐Physical Collaborative Aircraft Development

Bussemaker,

Boggero,

Nagel

2023

INCOSE International Symp

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This paper presents the main output of the EU‐funded H2020 AGILE 4.0 project: the AGILE 4.0 MBSE‐MDAO Development Framework. The framework aims at connecting upstream Model‐Based Systems Engineering (MBSE) activities to downstream Multidisciplinary Design Analysis and Optimization (MDAO) activities, applied to the development of complex aeronautical systems. Upstream activities include the definition of stakeholders, needs, semantic requirements, and modeling the system architecture design space. Downstream activities include defining, implementing, and executing cross‐organizational and collaborative MDAO workflows to support system synthesis. The development framework is implemented in an Operational Collaborative Environment (OCE), a web‐based platform for project data and modeling tool access. A business jet family design application case demonstrates the use of the development framework and OCE.

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Section: Implementation In the Operational Collaborative Environmentmentioning

confidence: 99%

Section: Implementation In the Operational Collaborative Environmentmentioning

confidence: 99%

Section: Showcase: Designing a Family Of Business Jetsmentioning

confidence: 99%

See 1 more Smart Citation

The AGILE 4.0 Project: MBSE to Support Cyber‐Physical Collaborative Aircraft Development

Bussemaker,

Boggero,

Nagel

2023

INCOSE International Symp

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“…The architecture design space is modeled using ADORE: a Python implementation of the ADSG with a web-based user interface for editing the ADSG, creating architecture instances from the ADSG, defining numerical optimization problems, and interfacing with optimization frameworks for driving the design space exploration (Bussemaker, Boggero & Ciampa 2022). fig.…”

Section: Function-based Architecture Design Space Modeling and Evalua...mentioning

confidence: 99%

Function‐Based Architecture Optimization: An Application to Hybrid‐Electric Propulsion Systems

Bussemaker,

Sánchez,

Fouda

et al. 2023

INCOSE International Symp

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Decisions arising in architecting processes greatly impact the success of the final product, however are subject to high uncertainty and large combinatorial design spaces. Selecting the best architecture for the problem at hand can be supported by architecture optimization techniques. In this paper, we show how architecture optimization can used for designing complex aeronautical systems, with the design of hybrid‐electric aircraft propulsion systems as an application case. The function‐based architecture optimization problem is formulated using an Architecture Design Space Graph (ADSG) created with the ADORE tool. Automatically generated architecture alternatives are evaluated using a multidisciplinary analysis framework coupling an overall aircraft design tool to mission and propulsion system simulation code. The multidisciplinary analysis toolchain is rebuilt for each architecture, automatically including and coupling selecting components. Architectures are optimized for three objectives using a multi‐objective genetic algorithm. It is demonstrated that the large architecture design space can be effectively searched and a Pareto front can be obtained.

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“…Ocampo et al published a systematic analysis of PDPs, demonstrating the extensive regulatory system impact during the production phase (Ocampo et al, 2019, who are in the process of formalising the agile paradigm, have introduced a shift in emphasis that centres on accelerating the deployment and operation of MDO systems, which can be exploited to accelerate the development of complex products namely in aircraft and aviation industry. Bussemaker et al (2022) explain the integration of MDO and MBSE expands upon the notions of mapping architecture components and relevant quantities to the central data schema. Several recent studies have improved upon the structure and behaviour of the workflow formally described in the MBSE system model with SysML In this context, Leserf et al (2015) presented approach for linking MBSE and MDO and demonstrated using an example of an electric coolant pump.…”

Section: Introductionmentioning

confidence: 99%

Multidisciplinary Design Analysis and Optimization Framework for Regulatory Driven Medical Device Development

Mishra

Behdinan

2023

Proc. Des. Soc.

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Multidisciplinary design optimization (MDO) is a technique used in the design of systems involving the integration of many disciplines. The architecture and formulation of MDO has an impact on the solution time and optimality of final designs. The process of developing medical devices requires the combination of medical and technical knowledge and abilities. Developing a medical device is done by a complicated collection of Product Development Processes that entail tremendous oversight to ensure conformity to regulatory requirements. Regulatory standards often provide stern “Go / No-Go” policies which may discretize the design variables further increasing the complexity of the optimization problem. This work proposes a novel design approach which utilizes systems engineering practices to undertake complex multidisciplinary design optimization while implementing regulatory guidelines for medical devices. The formulated model is then applied and examined in a case study towards the development of a piezoelectric respiratory sensor. It is observed that the novel framework would extensively improve the design space definition and process driven product development practices.

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MBSE in Architecture Design Space Exploration

Cited by 13 publications

References 31 publications

The AGILE 4.0 Project: MBSE to Support Cyber‐Physical Collaborative Aircraft Development

The AGILE 4.0 Project: MBSE to Support Cyber‐Physical Collaborative Aircraft Development

Function‐Based Architecture Optimization: An Application to Hybrid‐Electric Propulsion Systems

Multidisciplinary Design Analysis and Optimization Framework for Regulatory Driven Medical Device Development

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