Interactive design and multidisciplinary optimization of geostationary communication satellite

Berrezzoug, S.; Boudjemai, A.; Bendimerad, Fethi Tarik

doi:10.1007/s12008-019-00590-7

Cited by 15 publications

(7 citation statements)

References 30 publications

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“…7 shows two design variants with different hub knee radial positions (hk_radial), thus causing different laser beam incident angles (α=10.6• and α=18. 3…”

Section: Identifying Producibility Features (A)-figmentioning

confidence: 99%

“…Multidisciplinary Design Optimization (MDO) approaches in the aerospace industry involve trade-offs between various engineering disciplines for the objective of reducing mass, fuel consumption, manufacturing costs and emissions while increasing product performance [1]. The automation of the analysis and optimization activities within the MDO process of aerospace products is constantly under development [1][2][3]. Over the last few years, MDO approaches have benefitted from the maturation of computer-aided modeling, automation and statistical techniques, which have made possible the efficient evaluation and optimization of the performance of a large number of design variants [2,[4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

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Automated and interactive evaluation of welding producibility in an multidisciplinary design optimization environment for aircraft components

Madrid

Andersson

Söderberg

et al. 2021

Int J Interact Des Manuf

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The automation capabilities and virtual tools within engineering disciplines, such as structural mechanics and aerodynamics, enable efficient Multidisciplinary Design Optimization (MDO) approaches to evaluate and optimize the performance of a large number of design variants during early design stages of aircraft components. However, for components that are designed to be welded, in which multiple functional requirements are satisfied by one single welded structure, the automation and simulation capabilities to evaluate welding-producibility and predict welding quality (geometrical deformation, weld bead geometrical quality, cracks, pores, etc) are limited. Besides the complexity of simulating all phenomena within the welding process, one of the main problems in welded integrated components is the existing coupling between welding quality metrics and product geometry. Welding quality can vary for every new product geometrical variant. Thus, there is a need of analyzing rapidly and virtually the interaction and sensitivity coefficients between design parameters and welding quality to predict welding producibility. This paper presents as a result an automated and interactive welding-producibility evaluation approach. This approach incorporates a data-based of welding-producibility criteria, as well as welding simulation and metamodel methods, which enable an interactive and automated evaluation of welding quality of a large number of product variants. The approach has been tested in an industrial use-case involving a multidisciplinary design process of aircraft components. The results from analyzing the welding-producibility of a set of design variants have been plotted together with the analysis results from other engineering disciplines resulting in an interactive tool built with parallel coordinate graphs. The approach proposed allows the generation and reuse of welding producibility information to perform analyses within a big spectrum of the design space in a rapid and interactive fashion, thus supporting designers on dealing with changes and taking fact-based decisions during the multidisciplinary design process.

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“…7 shows two design variants with different hub knee radial positions (hk_radial), thus causing different laser beam incident angles (α=10.6• and α=18. 3…”

Section: Identifying Producibility Features (A)-figmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Automated and interactive evaluation of welding producibility in an multidisciplinary design optimization environment for aircraft components

Madrid

Andersson

Söderberg

et al. 2021

Int J Interact Des Manuf

View full text Add to dashboard Cite

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“…Each of these variables need to be considered throughout the design lifecycle of the satellite. To illustrate the usefulness of GAs in this context, Berrezzoug et al [17] proposed a method which applies a Gravitational Search Algorithm to the design of a satellite by considering the many design variables. The approach proved useful for determining optimal trade-offs between the variables.…”

Section: A Genetic Algorithmsmentioning

confidence: 99%

It's the Journey Not the Destination: Building Genetic Algorithms Practitioners Can Trust

Vincalek,

Walton,

Evans

2020

Preprint

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Genetic algorithms have been developed for decades by researchers in academia and perform well in engineering applications, yet their uptake in industry remains limited. In order to understand why this is the case, the opinions of users of engineering design tools were gathered. The results from a survey showing the attitudes of engineers and students with design experience with respect to optimisation algorithms are presented. A survey was designed to answer two research questions: To what extent is there a pre-existing sentiment (negative or positive) among students, engineers, and managers towards genetic algorithmbased design? and What are the requirements of practitioners with regards to design optimisation and the design optimisation process? A total of 23 participants (N = 23) took part in the 3part mixed methods survey. Thematic analysis was conducted on the open-ended questions. A common thread throughout participants responses is that there is a question of trust towards genetic algorithms within industry. Perhaps surprising is that the key to gaining this trust is not producing good results, but creating algorithms which explain the process they take in reaching a result. Participants have expressed a desire to continue to remain in the design loop. This is at odds with the motivation of a portion of the genetic algorithms community of removing humans from the loop. It is clear we need to take a different approach to increase industrial uptake. Based on this, the following recommendations have been made to increase their use in industry: an increase of transparency and explainability of genetic algorithms, an increased focus on user experience, better communication between developers and engineers, and visualising algorithm behaviour.

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“…The CD analysis of complex space systems is typically performed by a multidisciplinary process for designing the system by modelling and integrating its constituting subsystems [45]. The subsystems are modelled through physics-based parametric equation analysis [6] and numerous design synthesis tools have been developed to support the design space exploration and analysis [18,34,38,48,49]. Over the years, numerous design process would drive the analysis of various spacecraft subsystems separately whereas information is passed from one subsystem to other in a sequential manner.…”

Section: Introductionmentioning

confidence: 99%

Variability-Aware Design of Space Systems: Variability Modelling, Configuration Workflow and Research Directions

Lazreg

Bohlachov

Rana

et al. 2022

Proceedings of the 16th International Working Conference on Variability Modelling of Software-Intensive Systems

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Designing spacecraft such as satellites is known as an extremely difficult problem. It requires complex decision making at different concerns from mission requirements to system architectures. Such complexity might lead to design system architectures that are not feasible in practice or do not fulfil the requirements. Moreover, the lack of automation to assess high-level designs reduce the benefits of the early design phases by missing more suitable designs and increasing the design time.In this paper we discuss potential research directions and propose a potential framework that aims to i) drive the engineers in the different design steps ii) capture the feasible system architectures regarding the requirements and constraints, iii) refine and assess selected architectures through simulations. Our framework is model-driven and built on two complementary modules. The first module is a configurator based on attributed features models that support engineers in the design process of system architectures. Second, a simulation engine refines and assess automatically the selected system architectures with respect to the requirements. CCS CONCEPTS• Computing methodologies → Model development and analysis; • Applied computing → Aerospace.

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Interactive design and multidisciplinary optimization of geostationary communication satellite

Cited by 15 publications

References 30 publications

Automated and interactive evaluation of welding producibility in an multidisciplinary design optimization environment for aircraft components

Automated and interactive evaluation of welding producibility in an multidisciplinary design optimization environment for aircraft components

It's the Journey Not the Destination: Building Genetic Algorithms Practitioners Can Trust

Variability-Aware Design of Space Systems: Variability Modelling, Configuration Workflow and Research Directions

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