An MBSE architectural framework for the agile definition of complex system architectures

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This paper presents the collaborative model-based design of a business jet family. In family design, a trade-off is made between aircraft performance, reducing fuel burn, and commonality, reducing manufacturing costs. The family is designed using Model-Based Systems Engineering (MBSE) methods developed in the AGILE 4.0 project. The EC-funded AGILE 4.0 project extends the scope of the preliminary aircraft design process to also include systems engineering phases and new design domains like manufacturing, maintenance, and certification. Stakeholders, needs, requirements, and architecture models of the business jet family are presented. Then, the collaborative Multidisciplinary Design Analysis and Optimization (MDAO) capabilities are used to integrate various aircraft design disciplines, including overall aircraft design, onboard systems design, wing structural sizing, tailplane

Section: B Requirements Modelingmentioning

confidence: 99%

Collaborative Design of a Business Jet Family Using the AGILE 4.0 MBSE Environment

Bussemaker

Ciampa

Singh

et al. 2022

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“…to provide lift) to system components (e.g. wing) and the relationships among components [8]. The system architecture modelling starts with the collection of boundary functions, derived from functional requirements, for each system.…”

Section: Mbse Framework Supporting the Concurrent Coupling Of Supply ...mentioning

confidence: 99%

“…Its competitiveness relies essentially on the use of a sequential enrichment strategy, performed on adaptive surrogate models. SEGOMOE fully described in [8] has been successful applied for different applications: aerodynamic shape optimization [10], nacelle optimization [9], overall aircraft configurations [11], as some industrial test case in collaboration with Bombardier [10]. Some recent developments have been made to consider highly non-linear constraints [11] or mixed integer variables [12].…”

Section: Value-costmentioning

confidence: 99%

Value-driven Model-Based Optimization coupling Design-Manufacturing-Supply Chain in the Early Stages of Aircraft Development: Strategy and Preliminary Results

Donelli

Ciampa

Lefèbvre

et al. 2022

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A value-driven model-based approach concurrently coupling design, manufacturing and supply chain in the early development stage of aircraft design has been developed within the European project AGILE4.0. The benefits of using this methodology have been highlighted by the aeronautical application case focused on the design, manufacturing and supply chain of an horizontal tail plane. Finding a Pareto-front simultaneously optimizing the design, manufacturing and supply chain domains is the next challenge to face. The research activity proposed in this paper represents the first step of this ambitious goal. The objective is to identify the optimization strategy to use for the global optimization campaign by exploring, first, simple and representative Multidisciplinary Design and Optimization (MDO) problems related to the supply chain domain. In the first MDO problem, a 4-objective optimization is executed and then the optimized attributes are aggregated in a single measure named value. In the second MDO problem instead, attributes are first aggregated in a value and then a biobjective value-cost optimization is executed. Thus, two optimization strategies are investigated, but both lead to the value-cost Pareto-front investigation. The application case addressed in this research activity provides interesting insights for the value-driven

“…The other preceding steps of the Systems Engineering approach represent the extension in scope introduced by AGILE 4.0. Those steps include the definition of stakeholders, needs, and requirements [22], the generation of multiple alternative system architecting to be designed and optimized [23], and the automatic verification of requirements [24].…”

Section: Introduction To Agile 40mentioning

confidence: 99%

Advancing Cross-Organizational Collaboration in Aircraft Development

Baalbergen¹,

Vankan²,

Boggero

et al. 2022

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Collaboration is a key enabler for the development of modern aircraft and its systems and components. Because of the highly complex and integrated nature of many aircraft systems, effective collaboration requires well-organized, multi-disciplinary, multi-engineer, and multiorganization development processes. These processes require data-driven and computersupported tools and methodologies. Collaboration may seem as simple as working together, thereby adopting standards and tools, and freely sharing data, information, and knowledge. However, in the development of complex systems such as aircraft, collaboration is not that straightforward. For example, aircraft engineers across disciplines and organizations commonly face challenges such as firewalls, data and tool heterogeneity, and intellectual property protection. In this paper, we review the collaboration challenges, describe how the EU-funded research project AGILE 4.0 addresses these challenges, and detail the application of, and experiences with, AGILE 4.0's collaboration-enabling technologies.