Management of Heterogeneous Information for Integrated Design of Multidisciplinary Systems

Guérineau, Benjamin; Zheng, Chen; Bricogne, Matthieu; Durupt, Alexandre; Rivest, Louis; Rowson, Harvey; Eynard, Benoît

doi:10.1016/j.procir.2017.02.020

Cited by 8 publications

(6 citation statements)

References 17 publications

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“…In order to model the data, information and knowledge generated during the design process, ontology engineering is currently recognised to be a powerful instrument. Research works related to ontology engineering for the design of machatronic systems have been carried out in our research team (Guerineau et al, 2017), but these attempts are still not sufficient to solve the semantic problem; therefore, much more attention should be paid to the ontology engineering in order to improve the IT integration of software with the KBE platform.…”

Section: Resultsmentioning

confidence: 99%

Knowledge-based engineering for multidisciplinary systems: Integrated design based on interface model

Chen

Bricogne

Duigou

et al. 2017

Concurrent Engineering

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Due to the growing number of requirements and the introduction of new technologies, current trends indicate that more disciplines have been involved into the system design. The design of such multidisciplinary systems, especially during the detailed design phase, requires designers and expertise from different disciplines. Therefore, the research question about how to achieve an integrated design for multidisciplinary systems has attracted the attention from both academia and industry. In order to achieve such integrated design for multidisciplinary systems, more and more researchers focus on the interface of multidisciplinary systems because the interface plays a quite significant role to guarantee the components defined by the designers of different disciplines integrate correctly and to eventually help them to achieve the integrated design. This article presents an interface knowledge base to manage the design data and rules related to the interfaces. A knowledge-based engineering approach is then proposed. By applying the knowledge-based engineering approach, a synergistic integration of the discipline-specific components can be realised; however, the unnecessary iterations can be avoided so that a concurrent design process during the detailed design phase can be achieved. This knowledge-based engineering approach is demonstrated by the case studies based on a partial discharge detection system and a belt conveyor system.

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Section: Resultsmentioning

confidence: 99%

Knowledge-based engineering for multidisciplinary systems: Integrated design based on interface model

Chen

Bricogne

Duigou

et al. 2017

Concurrent Engineering

Self Cite

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“…The physical behavior of a CPS is controlled by virtual processes; this circumstance has to be considered both during conceptual design and system modelling ( Figure 18). Several tools, models, and methods are proposed for addressing this issue, e.g., the use of UML and SysML (compare with [82][83][84]). Frequently, Modelica is applied for behavior modelling because models created in Modelica can be transferred into mathematical models that allow detailed simulations [58].…”

Section: Integration In Framework For Cyber-physical-system Developmentmentioning

confidence: 99%

Approaches for Modelling the Physical Behavior of Technical Systems on the Example of Wind Turbines

Stetter

2020

Energies

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Models of technical systems are an essential means in design and product-development processes. A large share of technical systems, or at least subsystems, are directly or indirectly connected with the generation or transformation of energies. In design science, elaborated modelling approaches were developed for different levels of product concretization, for instance, requirement models and function models, which support innovation and new product-development processes, as well as for energy-generating or -transforming systems. However, on one product-concretization level, the abstract level that describes the physical behavior, research is less mature, and an overview of the approaches, their respective advantages, and the connection possibilities between them and other modelling forms is difficult to achieve. This paper proposes a novel discussion structure based on modelling perspectives and digital-engineering frameworks. In this structure, current approaches are described and illustrated on the basis of an example of a technical system, a wind turbine. The approaches were compared, and their specific advantages were elaborated. It is a central conclusion that all perspectives could contribute to holistic product modelling. Consequently, combination and integration possibilities were discussed as well. Another contribution is the derivation of future research directions in this field; these were derived both from the identification of “white spots” and the most promising modelling approaches.

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“…energy, material and information flows, but no concrete physical effects are included. In the field of cyber-physical systems development, research addressing the management of heterogeneous information also includes aspects of abstract physics (Guerineau et al, 2017;Zheng et al, 2017). For the even more abstract level "function", a comprehensive framework -the integrated function modelling framework (IFM) -was developed in recent years and meanwhile was successfully implemented in graph-based design languages (compare Eisenbart et al, 2016;Ramsaier et al, 2017;Elwert et al, 2019).…”

Section: Interface Oriented Abstract Physicsmentioning

confidence: 99%

“…The general concept of graph-based design languages for engineering design was firstly proposed by Rudolph (2002). Examples of this kind of rule-based digital engineering were described for power poles (Alber and Rudolph, 2004), a complete satellite system (Groß, 2013), gear systems for trains (Holder et al, 2017), multicopters (Ramsaier et al, 2017), balanced two-wheel scooters (Wünsch et al, 2018), exhaust systems (Vogel, 2019), automotive dashboards (Walter et al, 2019), car bodies (Zech et al, 2019) and automated guided vehicles (Stetter, 2020). The application of a graph-based design language leads to a central data model in form of a design-graph (which is created ("complied") from the UML model) with interfaces to all domains in the product lifecycle.…”

Section: Graph-based Design Languagesmentioning

confidence: 99%

Abstract Physics Representation of a Balanced Two-Wheel Scooter in Graph-Based Design Languages

Ramsaier

Stetter

Till

et al. 2020

Proc. Des. Soc.: Des. Conf.

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This paper presents a novel approach to include a holistic description of abstract physics in a digital engineering framework. Physical phenomena realize the numerous functions of technical systems and are an important link between rather abstract product functions and the concrete product geometry and material. Until now, a possibility to integrate the analysis and synthesis on this level of abstraction into a holistic engineering frameworks is not existing. The novel approach employs graph-based design languages using UML for this endeavour; the product example is a two-wheel scooter.

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Management of Heterogeneous Information for Integrated Design of Multidisciplinary Systems

Cited by 8 publications

References 17 publications

Knowledge-based engineering for multidisciplinary systems: Integrated design based on interface model

Knowledge-based engineering for multidisciplinary systems: Integrated design based on interface model

Approaches for Modelling the Physical Behavior of Technical Systems on the Example of Wind Turbines

Abstract Physics Representation of a Balanced Two-Wheel Scooter in Graph-Based Design Languages

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