Fortschrittsbericht zur modellbasierten Unterstützung der Konstrukteurstätigkeit durch FAS4M

Moeser, Georg; Kramer, Christoph; Grundel, Martin; Neubert, Michael; Kümpel, Stephan; Scheithauer, Axel; Kleiner, Sven; Albers, Albert

doi:10.3139/9783446447288.008

Cited by 9 publications

(20 citation statements)

References 0 publications

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“…Within design methodology, the differentiation of functional flows as energy, material or signal flows is established. However, among the current function-oriented methods to model MBSE system models, such as Digital Function Modeling in DC43 [34], FAS4M [35], Functional Eng 2024, 5 Product Description [2]/mecpro 2 [36], Integrated Product Model for Conceptual Design [37], MagicGrid [38], the motego method [5], OpenSE/OpenMBEE [39] and SYSMOD [40], the modeling of functions, and especially the consideration of functional flows, differs:…”

Section: Analyzed Criterion: Based On a Function-oriented System Arch...mentioning

confidence: 99%

Seamless Function-Oriented Mechanical System Architectures and Models

Wyrwich,

Boelsen,

Jacobs

et al. 2024

Eng

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One major challenge of today’s product development is to master the constantly increasing product complexity driven by the interactions between different disciplines, like mechanical, electrical and software engineering. An approach to master this complexity is function-oriented model-based systems engineering (MBSE). In order to guide the developer through the process of transferring requirements into a final product design, MBSE methods are essential. However, especially in mechanics, function-oriented product development is challenging, as functionality is largely determined by the physical effects that occur in the contacts of physical components. Currently, function-oriented MBSE methods enable either the modeling of contacts or of structures as part of physical components. To create seamless function-oriented mechanical system architectures, a holistic method for modeling contacts, structures and their dependencies is needed. Therefore, this paper presents an extension of the motego method to model structures, by which the seamless parametric modeling of function-oriented mechanical system architectures from requirements to the physical product is enabled.

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Section: Analyzed Criterion: Based On a Function-oriented System Arch...mentioning

confidence: 99%

Seamless Function-Oriented Mechanical System Architectures and Models

Wyrwich,

Boelsen,

Jacobs

et al. 2024

Eng

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“…Several modelling methods exist to build SysML system model during product development, such as SYSMOD [18], FAS4M [19], MagicGrid [20], mecPro 2 [21], OOSEM [22], SPES XT [23] and motego (short cut for Model-Test-Go, formerly mse architecture) [1,12,[24][25][26]. All methods focus on the product description via requirements, functions and logic up to the product (RFLP).…”

Section: State Of Researchmentioning

confidence: 99%

Classification of function-oriented solution elements for MBSE

Jagla¹,

Jacobs²,

Spütz³

et al. 2023

Forsch Ingenieurwes

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Many different engineering models are used in the development of technical systems such as the electro-mechanical drive train. The goal of utilising these models is to predict the physical behaviour of the system by virtually testing it. Already existing engineering models have to be identified and reused, to increase the efficiency of the development process. The model-based systems engineering (MBSE) approach motego [1, 2] supports the development of mechanical systems in a holistic and function-oriented manner. The system solution and the solution element are core elements in motego, that realise specific functions. The solution element contains the principle solution and domain models (e.g. engineering models), while the system solution contains solution elements and domain models. The system solution and especially the solution element provides a meaningful structure for organising and reusing models.However, in literature those solution elements are not identified and structured yet. This is also true for the electro-mechanical drive train, which is used as case for this study. It is assumed the solution elements can be identified by analysing the interaction between active surfaces of parts in contact. This contribution proposes a classification procedure for solution elements, which is based on elementary functions and principle solutions as they are elements of established development methods.

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“…The combination of reused models is done by manually copying and pasting them, which in turn requires extensive modeling efforts. Moeser et al describe in [13,14] a method (also known as FAS4M) that aims to represent the function-design-relationship of design-neutral block diagrams to specific component geometries. 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].…”

Section: State Of Researchmentioning

confidence: 99%

“…Moeser et al describe in [13,14] a method (also known as FAS4M) that aims to represent the function-design-relationship of design-neutral block diagrams to specific component geometries. 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.…”

Section: State Of Researchmentioning

confidence: 99%

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

Irnich

Jacobs

Zerwas

et al. 2023

Forsch Ingenieurwes

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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.

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Fortschrittsbericht zur modellbasierten Unterstützung der Konstrukteurstätigkeit durch FAS4M

Cited by 9 publications

References 0 publications

Seamless Function-Oriented Mechanical System Architectures and Models

Seamless Function-Oriented Mechanical System Architectures and Models

Classification of function-oriented solution elements for MBSE

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

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