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novembre 2018

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  • Soutenance de thèse de S.A. Chelaghma
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  • Soutenance S. Delbecq
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Soutenances de thèses

29/11/2018
  • Soutenance S. Delbecq

    29/11/2018  10 h 00 min - 10 h 30 min
    INSA de Toulouse en salle amphi Fourier

    Knowledge-Based Multidisciplinary Sizing and Optimization of Embedded Mechatronic Systems - Application to Aerospace Electro-Mechanical Actuation Systems

    Jury :

    Craig LAWSON, Senior Lecturer, Cranfield University, Rapporteur
    Johan ÖLVANDER, Professor, Linköping University, Rapporteur
    Nathalie BARTOLI, Ingénieur de recherche, ONERA Toulouse, Examinatrice
    Marc BUDINGER, Maître de Conférences (HDR), INSA Toulouse, Directeur de thèse
    Jean-Charles MARÉ, Professeur, INSA Toulouse, Examinateur
    Frank THIELECKE, Professor, Hamburg University of Technology, Examinateur
    Benjamin DAGUSÉ, Expert Conception Moteurs Électriques, Safran Electronics & Defense, Invité
    Jérôme PIATON, Expert Systèmes Électromécaniques, Safran Electronics & Defense, Invité

    Keywords: Sizing, Optimization, Actuation Systems, Electro-Mechanical, Flight Controls, Thrust Reverser

    Abstract :
    The critical short term challenge for contemporary aerospace industrial companies is to design safe, reliable, compact, low power consumption and low environmental impact products, forces driven by economic competition and the increasing expectations of customers and certification authorities. A long-term challenge for these organizations is to manage their knowledge and expertise heritage, which is jeopardized due to forthcoming retirement of the current generation of experts, engineers and technicians. Undertaking these challenges is particularly intricate when it comes to embedded mechatronic systems used in electro-mechanical actuation systems. The design of these complex systems involves heterogeneous knowledge due to the interface of multiple engineering specializations and the interacting physical laws that govern their behaviour. Additionally, embedded mechatronic systems are composed of several interdependent components and sub-systems. Dealing with interdependencies remains a non-trivial and fundamental aspect of modern engineering practice. This can result in costly iterations during the design process and final non-optimal solutions. Multidisciplinary System Design Optimization techniques provide theoretical foundations and computational tools for optimizing large and multidisciplinary systems. Tasks must be performed to apply such techniques for rapid initial sizing of mechatronic products: modelling the design knowledge, partitioning and coordinating the models for system performances analysis and optimization. Algebraic analysis functions are chosen to represent the design models. A new Multidisciplinary System Design Optimization formulation for fast and robust analysis is proposed. A theoretic graph approach using symbolic manipulation to assist designers in formulating large and multidisciplinary problems is outlined. A specific design methodology and its associated framework developed are presented. The general objective is to allow holistic sizing of mechatronic engineering systems with emphasis placed on model reusability and rapid decision making. The methodology is illustrated using a simple aerospace actuation system example. More complex actuation systems are then addressed. First, the design of an electro-mechanical primary flight control actuation system is examined, subsequently; the design methodology is applied to an electrical thrust reverser actuation system.

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