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Optimization Processes for Automated Design of Industrial Systems

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Optimal Design and Control of Multibody Systems (IUTAM 2022)

Part of the book series: IUTAM Bookseries ((IUTAMBOOK,volume 42))

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Abstract

Mechanics was one of the earliest application fields demonstrating the power of rule-based deduction of general formalisms from rather few basic axioms. The usual transformation of design problems into classical optimization problems and their solution by nonlinear programming algorithms follows the same principle, and is thus mainly used by the mechanics and control community. System design on an industrial scale, however, is a much more challenging creative task, which cannot be formalized so easily, which is why it is mostly still human-driven. In order to break up this game stopper, algorithms for multi-criterion optimization, function approximation and statistical sensitivity analysis may be integrated in a common design process. Especially the emerging field of data-driven artificial intelligence (AI) methods may become the pushing game changer. The paper will demonstrate major challenges of industrial design and some solution strategies to bridge the gap between engineering design intuition and formalized problem solution.

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Author information

Authors and Affiliations

  1. Engineering Mechanics and Vehicle Dynamics, Brandenburg University of Technology, 03046, Cottbus, Germany

    Dieter Bestle

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  1. Dieter Bestle
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Correspondence to Dieter Bestle .

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Editors and Affiliations

  1. Institute of Mechanics and Ocean Engineering, Hamburg University of Technology, Hamburg, Germany

    Karin Nachbagauer

  2. Technical University of Munich, Institute for Advanced Studies TUM–IAS, Garching, Germany

    Alexander Held

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Bestle, D. (2024). Optimization Processes for Automated Design of Industrial Systems. In: Nachbagauer, K., Held, A. (eds) Optimal Design and Control of Multibody Systems. IUTAM 2022. IUTAM Bookseries, vol 42. Springer, Cham. https://doi.org/10.1007/978-3-031-50000-8_1

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  • DOI: https://doi.org/10.1007/978-3-031-50000-8_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-49999-9

  • Online ISBN: 978-3-031-50000-8

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