Model Signatures for Design and Usage of Simulation-Capable Model Networks in MBSE

Husung, Stephan; Gerhard, Detlef; Jacobs, Georg; Kowalski, Julia; Rumpe, Bernhard; Zeman, Klaus; Zerwas, Thilo

doi:10.1007/978-3-031-25182-5_16

Cited by 3 publications

(5 citation statements)

References 17 publications

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“…The re-use of any sub-system within a system requires the integration of top-down (system) and bottom-up (sub-system) descriptions (see Figure 31). The description and re-use of the sub-systems (bottom-up) inside multiple systems (top-down) are investigated in research projects using MBSE approaches (Husung et al 2022 c ; Zerwas et al 2022). In MBSE, the information about the system (use cases, requirements, states and related functions, solution elements) and development-related information (e.g.…”

Section: Design Science In Ilmenaumentioning

confidence: 99%

Ilmenau’s contributions to Design Science

Höhne,

Weber,

Husung

2024

Des. Sci.

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Ilmenau is a relatively small town in a beautiful landscape, close to the centre of Germany. Since 1894 it has been the home of a Technical College which after World War II and through some permutations became today’s Technische Universität Ilmenau. For 70 years the university has contributed to Design Science. It is interesting to note that the fundamentals were developed in practice, at the Carl Zeiss company in Jena; it was only later that the new ideas were further developed for academic research and teaching in Ilmenau. The origins at Zeiss Jena still account for the main application area at Technische Universität Ilmenau today: Precision Engineering which, in addition to mechanical, has always included electric, electronic, control, software, and even optical components (“mechatronics” before the term was coined). This article – written by three (out of four in total) of the professors who were and are, respectively, in charge over almost 50 out of the 70 years – tells the story of Design Science in Ilmenau: background, beginnings, development, contributions to research, teaching, and transfer to industry. As Ilmenau was situated in the German Democratic Republic (“East Germany”) between 1949 and 1990, the story is not free of political and societal implications, some of them quite surprising.

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Section: Design Science In Ilmenaumentioning

confidence: 99%

Ilmenau’s contributions to Design Science

Höhne,

Weber,

Husung

2024

Des. Sci.

Self Cite

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“…Based on the extent shown here, an elastohydrodynamic (EHD) calculation (Figure 4, green line) and a thermo-elastohydrodynamic (TEHD) calculation (Figure 4, yellow line) can be found as meaningful model configurations and performed as calculation. Engineering domain models of the system element "lubricated rolling contact" classified by their purposes and fidelities (in accordance with [13,14]).…”

Section: Domain Model Requirements For the Model Signaturementioning

confidence: 99%

“…Only the latter can later be utilized in automated validation tests. Engineering domain models of the system element "lubricated rolling contact" classified by their purposes and fidelities (in accordance with [13,14]).…”

Section: Domain Model Requirements For the Model Signaturementioning

confidence: 99%

“…Since the behavior usually cannot be validated with a descriptive, SysML-based system model alone [6,7], a system element needs appropriate domain models to account for all the different purposes. A domain model is, by its nature, a representation of the original system that has been shortened or abstracted in terms of scale, detail and/or functionality [8] and typically a specialized simulation model that runs in an external software tool and needs to be integrated into the SysML-based system model [6,[9][10][11][12][13]. One of the open challenges with such an integration is to provide a well-defined, modular and consistent interface between domain models and their system element counterparts, for instance to assure a correct parameter exchange.…”

Section: Introductionmentioning

confidence: 99%

“…Figure5. TEHD workflow and result (top) as well as the parametric coupling of the domain models "Eyring, Barus, Vogel" and "2d stationary Energy Conservation" (bottom; in accordance with[13]). …”

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Model Signatures for the Integration of Simulation Models into System Models

Zerwas

Jacobs

Kowalski

et al. 2022

Systems

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Model-based systems engineering (MBSE) is an auspicious approach to the virtual development of cyber-physical systems. The behavior of the system’s elements is thus represented by specialized simulation models that are integrated into the descriptive SysML-based system model. Although many simulation models have been developed in research for the common system elements for various purposes and fidelities, their integration remains a major challenge: the parameter interfaces of the simulation models must be coupled with each other and with the parameters of the system elements in such a way that they are correctly parameterized. So far, this coupling can only be carried out by model experts in a time-consuming and error-prone manner. Therefore, in this paper, we first propose a concept that structures the system element parameters for targeted use in validation and design cases. Second, we propose a model signature for simulation models that differentiates its parameters by input, internal, output, and model parameters and specifies them with spatial and temporal dimensions as well as admissible ranges, among others. Based on the two contributions, domain models can be validly and automatable coupled and used for the virtual development of system elements in model-based systems engineering.

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Automated Identification of Valid Model Networks Using Model-Based Systems Engineering

Berges

Spütz

Jacobs

et al. 2022

Systems

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To handle increasing complexity in product development, model-based systems engineering (MBSE) approaches are well suited, in which the technical system is represented in a system model. To efficiently test requirements, domain models are integrated into the system model. For each purpose (e.g., battery lifetime calculation), there are typically several models at several fidelity levels. Since the model signatures (i.e., necessary inputs for the models and their outputs) differ depending on the fidelity level, not all models can be used in any development phase. In addition, due to the different model signatures, not all models can be combined arbitrarily to model networks. Currently, valid model networks in system models must be determined in a time-consuming, manual process. Therefore, this paper presents an approach that automates this task via the implementation of an algorithm that analyzes a system model and the model signatures and automatically returns all valid model networks. When input parameters, models or their signatures change, the algorithm updates automatically, and the user receives the valid model network without any manual effort. The approach is demonstrated with the running example of battery system development.

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Model Signatures for Design and Usage of Simulation-Capable Model Networks in MBSE

Cited by 3 publications

References 17 publications

Ilmenau’s contributions to Design Science

Ilmenau’s contributions to Design Science

Model Signatures for the Integration of Simulation Models into System Models

Automated Identification of Valid Model Networks Using Model-Based Systems Engineering

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