2023
DOI: 10.1007/s10010-023-00621-6
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Reusable workflows for virtual testing of multidisciplinary products in system models

Abstract: Developing increasingly complex multidisciplinary products in short development cycles is one major challenge in today’s product development. Model-based Systems Engineering (MBSE) approaches are well suited to address this challenge. With MBSE, products are virtually represented in central system models. For the efficient verification of customer requirements and to avoid exhaustive physical testing with prototypes, virtual domain models (e.g. FE-models) are integrated into the system model. To perform a virt… Show more

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Cited by 5 publications
(2 citation statements)
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“…For example, a method-specific SysML language profile exists to apply the function-oriented modeling with motego [56]. In order to list just an excerpt of further work related to the motego method, we refer to the following publications: [24][25][26]55,57]. Scope of the motego method for the function-oriented modeling of mechanical system architectures, according to [5], and its gap regarding structures.…”
Section: The Motego Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…For example, a method-specific SysML language profile exists to apply the function-oriented modeling with motego [56]. In order to list just an excerpt of further work related to the motego method, we refer to the following publications: [24][25][26]55,57]. Scope of the motego method for the function-oriented modeling of mechanical system architectures, according to [5], and its gap regarding structures.…”
Section: The Motego Methodsmentioning
confidence: 99%
“…The execution of these interconnected model networks, and thus the order of the models, is controlled by workflows [57]. These workflows are modeled as SysML behavior elements, like activities and interactions within the StructureElement or the superordinate SystemSolution, which contains the domain models to be controlled by the workflow [57].…”
Section: Exemplary Application Of the Spütz Et Al Metamodelmentioning
confidence: 99%