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

Bussemaker, Jasper; Ciampa, Pier Davide; Singh, Jasveer; Fioriti, Marco; Hoz, Carlos Cabaleiro De La; Peeters, Daniël; Hansmann, Philipp; Vecchia, Pierluigi Della; Mandorino, Massimo

doi:10.2514/6.2022-3934

Cited by 7 publications

(7 citation statements)

References 20 publications

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“…This application case is part of the upgrade-driven stream and aims at designing a family of three business jet aircraft considering commonality options in the MDO workflow [36].…”

Section: Family Of Aircraft Optimization Problemmentioning

confidence: 99%

“…The design space is modeled using the Architecture Design Space Graph (ADSG) method [35] implemented in the ADORE tool [33] developed during the AGILE 4.0 project 8 . MultiLinQ [34], also developed for AGILE 4.0, is used to couple the generate architecture instances to the central data schema used in the MDO workflow [36]. The MDO workflow consists of two levels: an aircraft-level workflow (shown in Figure 5.12) applying commonality decisions and sizing one aircraft at a time, and a family-level workflow converging the three aircraft-level workflows and performing cost calculation on the family-level.…”

Section: Family Of Aircraft Optimization Problemmentioning

confidence: 99%

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High-dimensional multidisciplinary design optimization for aircraft eco-design

SAVES

2024

Preprint

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Nowadays, there is a significant and growing interest in improving the efficiency of vehicle design processes through the development of tools and techniques in the field of MDO. Specifically, in aerostructure design, aerodynamic and structural variables influence each other and have a joint effect on quantities of interest like weight or fuel consumption and, as such, MDO arises as a powerful tool for automatically making interdisciplinary trade-offs. In the aircraft design context, the process generally involves mixed continuous and categorical design variables. For instance, the size of an aircraft’s structural parts can be described using continuous variables, while discrete variables may include either integer variables, like the number of panels, or categorical variables, like cross-sections or material choices. The objective of this Philosophiae Doctor (Ph.D) thesis is to propose an efficient approach for optimizing a multidisciplinary black-box model when the optimization problem is constrained and involves a large number of mixed integer design variables (typically 100 variables). The targeted optimization approach, called EGO, is based on a sequential enrichment of an adaptive surrogate model and, in this context, GP surrogate models are one of the most widely used in engineering problems to approximate time-consuming high fidelity models. EGO is a heuristic BO method that performs well in terms of solution quality. However, like any other global optimization method, EGO suffers from the curse of dimensionality, meaning that its performance is satisfactory on lower dimensional problems, but deteriorates as the dimensionality of the optimization search space increases. For realistic aircraft design problems, the typical size of the design variables can even exceed 100 and, thus, trying to solve directly the problems using EGO is ruled out. The latter is especially true when the problems involve both continuous and categorical variables increasing even more the size of the search space. In this Ph.D thesis, effective parameterization tools are investigated, including techniques like partial least squares regression, to significantly reduce the number of design variables. Additionally, Bayesian optimization is adapted to handle discrete variables and high-dimensional spaces in order to reduce the number of evaluations when optimizing innovative aircraft concepts such as the “DRAGON” hybrid airplane to reduce their climate impact.

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“…This application case is part of the upgrade-driven stream and aims at designing a family of three business jet aircraft considering commonality options in the MDO workflow [36].…”

Section: Family Of Aircraft Optimization Problemmentioning

confidence: 99%

Section: Family Of Aircraft Optimization Problemmentioning

confidence: 99%

High-dimensional multidisciplinary design optimization for aircraft eco-design

SAVES

2024

Preprint

View full text Add to dashboard Cite

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“…The application case 'collaborative family concept design' (AC7) deals with the design of a business jet family consisting of three 8-passenger business jets with various design ranges and cabin lengths [45]. The three business jets are designed using an Overall Aircraft Design (OAD) tool in combination with several higher-fidelity analysis tools.…”

Section: Example Application Case: Collaborative Family Concept Designmentioning

confidence: 99%

Advancing Cross-Organizational Collaboration in Aircraft Development

Baalbergen¹,

Vankan²,

Boggero

et al. 2022

AIAA AVIATION 2022 Forum

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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.

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“…1. the design of different architectures of trailing edge flaps including manufacturing constraints [32]; 2. the development of different architectures of Horizontal Tail Plane designed and produced by multiple configurations of Supply Chain system [33]; 3. the design of conventional and innovative on-board system architectures of a regional aircraft including certification constraints [34]; 4. the design of a Unmanned Aerial Vehicle (UAV) accounting for certification constraints [35]; 5. the retrofitting of a regional jet [36]; 6. the design a family of business jets [37]. Nevertheless, few examples of application of the proposed MBSE architectural framework are presented in this section.…”

Section: Examples Of Application Of the Mbse Architectural Framework ...mentioning

confidence: 99%

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

Boggero

Ciampa

Nagel

2022

AIAA AVIATION 2022 Forum

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In the recent years, a shift from document-based to model-based approaches is going on within many organizations and industries involved in the development of complex systems. Model Based Systems Engineering (MBSE) methods and tools are in fact gaining more and more popularity due to all their claimed benefits over traditional document-based approaches, including for instance enhanced design quality of systems, clearer development of system requirements and specifications and improved communications within the design teams. However, these benefits can be possible only if recommendations on how generating and representing design information during the development process are made available. The present paper introduces a new model-based architectural framework, i.e. a guideline that leverages a modeling approach for the development and representation of complex systems. More specifically, the MBSE architectural framework addressed in this paper focuses on the system architecting activities of a Systems Engineering Product Development process, i.e. when multiple conventional and innovative solutions of the systems are generated to address all the system stakeholder expectations. The proposed architectural framework aims at fostering the agility of the development of complex systems, in order to streamline, improve and accelerate their architectures definition and modeling through an MBSE approach. The paper provides details of the MBSE architectural framework, including the means to produce and represent all the system development information.

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

Cited by 7 publications

References 20 publications

High-dimensional multidisciplinary design optimization for aircraft eco-design

High-dimensional multidisciplinary design optimization for aircraft eco-design

Advancing Cross-Organizational Collaboration in Aircraft Development

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

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