The Effect of Sub-systems Design Parameters on Preliminary Aircraft Design in a Multidisciplinary Design Environment

Fioriti, Marco; Boggero, Luca; Corpino, Sabrina; Prakasha, Prajwal S.; Ciampa, Pier Davide; Nagel, Björn

doi:10.1016/j.trpro.2018.02.012

Cited by 23 publications

(19 citation statements)

References 11 publications

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“…Since the AFCS can be considered an additional electric system consumer, the electric system has been upgraded to supply more power, and therefore increasing its mass with respect to a non BLI variant. Details are reported in [24], [25] [26].…”

Section: Bli System Design (Agile Bwb Bli Variant)mentioning

confidence: 99%

Streamlining Cross-Organizational Aircraft Development: Results from the AGILE Project

Ciampa

Prakasha

Torrigiani

et al. 2019

AIAA Aviation 2019 Forum

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Section: Bli System Design (Agile Bwb Bli Variant)mentioning

confidence: 99%

Streamlining Cross-Organizational Aircraft Development: Results from the AGILE Project

Ciampa

Prakasha

Torrigiani

et al. 2019

AIAA Aviation 2019 Forum

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“…Information on engine performance is provided by the Baranov Central Institute of Aviation Motor Development. The system power offtake is taken into account based on an onboard system architecture designed using the process described by [7].…”

Section: The Optimale Configurationmentioning

confidence: 99%

Integration aspects of the collaborative aero-structural design of an unmanned aerial vehicle

Walther¹,

Gastaldi

Maierl

et al. 2019

CEAS Aeronaut J

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Overall aircraft design is a complex multidisciplinary process, which requires knowledge from many different fields such as structures, aerodynamics, systems and propulsion. For unconventional configurations lacking an empirical knowledge base, higher fidelity physics-based methods are required to reliably estimate the feasibility of a given new design concept. Analysis tools and results are provided by highly specialized groups of experts, possibly from different organizations. In the AGILE (aircraft 3rd generation MDO for innovative collaboration of heterogeneous teams of experts) project, new approaches to setting up cross-organizational collaborative aircraft design optimization workflows have been investigated, including the employment of common parametric aircraft configuration schema as a central common data schema and the provision of disciplinary analysis competences as callable services. Following this paradigm, the present paper details a distributed workflow to perform an aero-structural design optimization of an unmanned aerial vehicle (UAV) design. Taking advantage of disciplinary capabilities provided by several partners based in various locations across Europe, an integrated design workflow including a distributed and tightly coupled aero-structural analysis loop has been assembled using the process integration and design optimization system remote component environment developed at the German Aerospace Center. To enable the necessary load and displacement transfer between non-matching disciplinary meshes, a versatile and lightweight algorithm using radial basis functions has furthermore been implemented. The functionality of the workflow is demonstrated by performing the optimization on the baseline configuration of the UAV.Keywords Multidisciplinary optimization · Fluid-structure interaction · Structural optimization · Preliminary aircraft design · Collaborative design · CPACS · AGILE project AbbreviationsAGILE Aircraft third-generation MDO for innovative collaboration of heterogeneous teams of experts APP Aircraft Performance Program CFD Computational fluid dynamics CPACS Common parametric aircraft configuration schema CSV Comma-separated values DLR German Aerospace Center DOE Design of experiments FEM Finite element method MDA Multidisciplinary analysis MDO Multidisciplinary design optimization MLS Moving least squares RANS Reynolds-averaged Navier-Stokes RBF Radial basis functions RCE Remote component environment UAV Unmanned aerial vehicle XDSM Extended design structure matrix

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“…Overall, it has been frequently shown that design optimization as a process can permeate many layers of the design, and a typical example of this in UAV development is to have concurrent airframe and sub-system evaluations in a suitable computational environment (Prakasha et al, 2017;Fioriti et al, 2018). Moreover, it can be seen that a design optimization framework offers information on properties such as robustness, adaptability, flexibility, and safety, and to this date, this can be achieved by using a set of appropriate process inputs like probabilistic and uncertainty constraints (Gavel et al, 2008;Nguyen et al, 2015).…”

Section: Managing Complex Systemsmentioning

confidence: 99%

Design Optimization of Unmanned Aerial Vehicles : A System of Systems Approach

Παπαγεωργίου

2019

Linköping Studies in Science and Technology. Dissertations

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Over the last years, Unmanned Aerial Vehicles (UAVs) have gradually become a more efficient alternative to manned aircraft, and at present, they are being deployed in a broad spectrum of both military as well as civilian missions. This has led to an unprecedented market expansion with new challenges for the aeronautical industry, and as a result, it has created a need to implement the latest design tools in order to achieve faster idea-to-market times and higher product performance. As a complex engineering product, UAVs are comprised of numerous subsystems with intricate synergies and hidden dependencies. To this end, Multidisciplinary Design Optimization (MDO) is a method that can identify systems with better performance through the concurrent consideration of several engineering disciplines under a common framework. Nevertheless, there are still many limitations in MDO, and to this date, some of the most critical gaps can be found in the disciplinary modeling, in the analysis capabilities, and in the organizational integration of the method. As an aeronautical product, UAVs are also expected to work together with other systems and to perform in various operating environments. In this respect, System of Systems (SoS) models enable the exploration of design interactions in various missions, and hence, they allow decision makers to identify capabilities that are beyond those of each individual system. As expected, this significantly more complex formulation raises new challenges regarding the decomposition of the problem, while at the same time, it sets further requirements in terms of analyses and mission simulation. In this light, this thesis focuses on the design optimization of UAVs by enhancing the current MDO capabilities and by exploring the use of SoS models. Two literature reviews serve as the basis for identifying the gaps and trends in the field, and in turn, five case studies try to address them by proposing a set of expansions. On the whole, the problem is approached from a technical as well as an organizational point of view, and thus, this research aims to propose solutions that can lead to better performance and that are also meaningful to the Product Development Process (PDP). Having established the above foundation, this work delves firstly into MDO, and more specifically, it presents a framework that has been enhanced with further system models and analysis capabilities, efficient computing solutions, and data visualization tools. At a secondary level, this work addresses the topic of SoS, and in particular, it presents a multi-level decomposition strategy, multi-fidelity disciplinary models, and a mission simulation module. Overall, this thesis presents quantitative data which aim to illustrate the benefits of design optimization on the performance of UAVs, and it concludes with a qualitative assessment of the effects that the proposed methods and tools can have on both the PDP and the organization. v vi This Ph.D. project was carried out at the division of Machine Design of Linköping Universi...

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The Effect of Sub-systems Design Parameters on Preliminary Aircraft Design in a Multidisciplinary Design Environment

Cited by 23 publications

References 11 publications

Streamlining Cross-Organizational Aircraft Development: Results from the AGILE Project

Streamlining Cross-Organizational Aircraft Development: Results from the AGILE Project

Integration aspects of the collaborative aero-structural design of an unmanned aerial vehicle

Design Optimization of Unmanned Aerial Vehicles : A System of Systems Approach

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