Modeling language for the function-oriented development of mechatronic systems with motego

Self Cite

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 virtual test, domain models need to be executed in a sequence, so-called workflows.Current workflows link several product system levels in one workflow and are often only valid for one specific system architecture. As the number of requirements and system complexity increases, these workflows become also more complex. The effort for creating new comprehensible workflows is currently high and the reusability cannot be ensured. To solve these deficits, a method for the systematic formalization of reusable workflows in system models as well as their structured integration is presented. Behavior diagrams in the modelling language SysML are used to control the execution order of the domain models of different purposes and fidelities. Modular sub-workflows are developed for each system level. These sub-workflows can be reused and combined modularly to form larger workflows. The approach shows a high potential to easily build and organize workflows in reusable libraries thereby supporting automated virtual testing in product development. To demonstrate the approach, workflows for bearing lifetime calculation and shaft fatigue testing of a wind turbine drive train as well as their integration into the SysML system model are presented.

“…5 Step 1: Motego method with its RFLP structure. (According to [30]) K when changes are made to the system model, parameter relationships must be analyzed and modeled again.…”

Section: Geometrymentioning

confidence: 99%

Reusable workflows for virtual testing of multidisciplinary products in system models

Berges

Spütz

Zhang

et al. 2023

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“…However, the method partially describes solutions via sketches or at least without a parametric formalization that allows the seamless integration of simulation models which enables the efficient evaluation of solution combinations [13,14]. The approach of Jacobs et al [2,5,7,[15][16][17] (also known as motego method) focusses on the seamless development of mechatronic products in a cross-domain, model-based and function-oriented manner. This method is characterized by the use of function-oriented solutions, which enable modelbased simulation and evaluation of overall system solutions early in the development process via formalized physical effects and active surface sets [5,7].…”

Section: State Of Researchmentioning

confidence: 99%

“…For this purpose, the preliminary work of Jacobs et al [2,5,7,15] was selected, which provides a method for the construction of functional architectures, the representation of individual technical solutions as well as their calculation with integrated simulation models. In the development of the method in this paper, particular value is placed on a connectivity to the language profile of [16], which makes the preliminary work with a SysMLbased [18] language efficiently usable.…”

Section: The Physical Behavior Of Composed Solution Combina-mentioning

confidence: 99%

Combining and evaluating function-oriented solutions in model-based systems engineering

Irnich

Jacobs

Zerwas

et al. 2023

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Increasing complexity and shorter innovation cycles require a rethink in the development of mechatronic products. A function-oriented development process using model-based systems engineering (MBSE) methods promises to identify technical solutions via solution-neutral functional architectures. Since each function can typically be realized by multiple, alternative solutions the combinatorial number of overall system solutions explodes. Existing MBSE approaches enable to establish functional architectures as well as support the verification of solutions. However, evaluating different solution combinations with the current state of research involves repetitive and time-consuming modeling which leads to a heuristic selection of potentially suboptimal solutions. In this paper, we present a method for the systematic and function-oriented composition and model-based evaluation of solution combinations. Alternative solutions are structured based on a functional architecture, so that each possible solution combination can be composed and simulated with a minimum of effort, considering physical interactions and the efficiency. Based on simulation results, solution combinations can be verified against requirements and evaluated striving for the best solution combination. The elaborated method extends an existing MBSE approach and is illustrated by the running example of an electrical coolant pump of a passenger vehicle.

“…Challenge 6 states that the approach to formalize operating states must be compatible with an MBSE development method, since one of the goals is to use the operating states for the simulation of mechatronic systems. According to the analysis in [26], the motego method is characterized by a deep parametric integration of simulation models into system models [16,27]. Therefore, the motego method is selected as a foundation for the meta-model elaborated in this contribution.…”

Section: State Of Researchmentioning

confidence: 99%

“…3). In order for the modeling method devel- oped here to be a meaningful addition to the motego profile [27], the meta-model consists of already existing or compatible language elements and relationships. Artifacts that can be implemented with existing language elements of the motego profile are shown shaded.…”

Section: Meta-modelmentioning

confidence: 99%

Kundenzentrierte und funktionsorientierte Entwicklung mechatronischer Systeme

Zerwas

Jacobs

Brand

et al. 2023

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Successful products at least precisely meet the customers’ expectations and, in the best case, exceed them. To develop successful products, customer expectations must be translated into requirements. With the increasing functionalities of products in recent years, the customers’ expectations regarding product interaction and its behavior in different environmental conditions have also become more extensive. Current approaches of model-based systems engineering (MBSE) enable developing complex mechatronic products seamlessly from requirements to functions and solutions on a parameter level. However, there is a lack of approaches that systematically translate complex customer expectations into functional and design requirements as a starting point for further development.In this contribution we present a method and a corresponding meta-model that allows to systematically formalize the dependencies of different stakeholders and their expectations as well as different environmental conditions and constraints. From these dependencies, operating states are elicited that represent a set of simultaneously valid stakeholder expectations with their corresponding constraints. From these operating states, functional and design requirements are systematically derived as a basis for the model-based design of the system under development. Our meta-model is compatible to the established modeling language SysML, thus, existing approaches for the function-oriented model-based system development can benefit directly from these formally modeled requirements.Our publication signposts the potential for systematic and formal translation of customer expectations into operating states as well as requirements and thus enables a targeted, customer-centric and function-oriented development of mechatronic systems. We applied our method in an interdisciplinary, industrial project using the example of a thermal management system of a battery electric vehicle.