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<p>Model-Based Systems Engineering (MBSE) aims towards an improvement of complexity-handling, agility and efficiency in engineering processes by transforming the product development process from a&#xa0;document-centric approach to a&#xa0;model-based approach.</p><p>One popular approach towards MBSE is the RFSP approach where the model is structured into the R(equirements), F(unctions), S(olutions) and P(roduct) layer. Such approach is also following in the presented implementation with a&#xa0;focus on implementation of specific entities the S‑ and P‑layer and their coupling to behavorial (domain) models.</p><p>In this work, an IME’s System Modeling library <i>motego Library</i> as an extension of the <i>motego</i> method from MSE institute of RWTH Aachen University is presented. This approach uses the abstract-defined System Solutions and Structure Set from <i>motego</i> in order to create a&#xa0;library of concrete implementations for Solution Entities like bearings or shafts in the mechanical system. Higher levels of detail can be achieved through recursive nesting of the System Solution model structure. In the presentation a&#xa0;demonstrator model of a&#xa0;shaft-bearing system will be used to illustrate the applicability of the proposed concept. This model includes different approaches/fidelity levels for calculating the component’s behavior like their stiffnesses as well as integrated workflows for validation of the requirements like the operational safety of the plain bearings or the system deformation. The modular system modeling approach enables fast adaptions of the bearing types, bearing positions and shaft or housing diameter without the need for any manual remodeling except for providing updated geometry information. This enables the user to optimize the system behavior like deformation or bearing loads. An intelligent interface to these behavior models is encapsulated in so-called Smart Model Units, each depicting an independent component behavior. This modeling approach is the second major subject of the proposed presentation.</p>

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Demonstrator model for an entity-based system modeling approach

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年3月19日

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  • B. Juretzki,
  • J. Marheineke,
  • T. Möller,
  • F. Andary,
  • M. Körber

摘要

Model-Based Systems Engineering (MBSE) aims towards an improvement of complexity-handling, agility and efficiency in engineering processes by transforming the product development process from a document-centric approach to a model-based approach.

One popular approach towards MBSE is the RFSP approach where the model is structured into the R(equirements), F(unctions), S(olutions) and P(roduct) layer. Such approach is also following in the presented implementation with a focus on implementation of specific entities the S‑ and P‑layer and their coupling to behavorial (domain) models.

In this work, an IME’s System Modeling library motego Library as an extension of the motego method from MSE institute of RWTH Aachen University is presented. This approach uses the abstract-defined System Solutions and Structure Set from motego in order to create a library of concrete implementations for Solution Entities like bearings or shafts in the mechanical system. Higher levels of detail can be achieved through recursive nesting of the System Solution model structure. In the presentation a demonstrator model of a shaft-bearing system will be used to illustrate the applicability of the proposed concept. This model includes different approaches/fidelity levels for calculating the component’s behavior like their stiffnesses as well as integrated workflows for validation of the requirements like the operational safety of the plain bearings or the system deformation. The modular system modeling approach enables fast adaptions of the bearing types, bearing positions and shaft or housing diameter without the need for any manual remodeling except for providing updated geometry information. This enables the user to optimize the system behavior like deformation or bearing loads. An intelligent interface to these behavior models is encapsulated in so-called Smart Model Units, each depicting an independent component behavior. This modeling approach is the second major subject of the proposed presentation.