SAMOS for Spatial Architecture based on Multi-physics and Organisation of Systems in conceptual design

Barbedienne, Romain; Messaoud, Yethreb Ben; Choley, Jean-Yves; Penas, Olivia; Ouslimani, A.; Rivière, Alain

doi:10.1109/syseng.2015.7302746

Cited by 9 publications

(7 citation statements)

References 18 publications

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“…MBSE may be conceived as “the formalized application of modeling” to the systems engineering (SE) process 8 . As an emerging field, the MBSE literature boasts of the many benefits organizations can expect to achieve if the approach is implemented properly 9–12 . However, evidence shows little attention to formally measuring these benefits 13 .…”

Section: Introductionmentioning

confidence: 99%

Towards Developing Metrics to Evaluate Digital Engineering

Henderson

McDermott

Aken

et al. 2022

Systems Engineering

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Model-based systems engineering (MBSE) is an increasingly accepted practice in the Systems Engineering (SE) community, however, little has been done to empirically show that MBSE provides value. Furthermore, as the industry continues in the direction of digital transformation, MBSE will become a critical component of the larger Digital Engineering (DE) approach. This paper presents a measurement framework for selecting and developing appropriate metrics to assess the value/benefits of MBSE and subsequently DE. Utilizing expected benefits identified in a review of MBSE literature, a causal map was hypothesized to show how expected benefits (potential metrics) influence and relate to each other. This was done in order to systematically determine which benefits would be the most impactful to measure. The hypothesized causal model was presented for feedback to subject-matter experts from a working group developing the first DE measurement framework. This group is a joint effort with industry, academia, and the USA government to develop DE metric standards. Once the causal map was finalized, a case study was used to partially validate the causal model.Based on the causal map and subsequent analysis, we can recommend the first metrics to be employed for DE/MBSE based on the most influential nodes of the causal model.The potential metric candidates include: system quality, defects, time, rework, ease of making changes, system understanding, Effort, accessibility of information, collaboration, project methods/processes, and use of DE/MBSE tools. We believe a concerted effort across the industry to focus on measuring these variables is the most effective way to establish proof of the value of MBSE and DE.

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Section: Introductionmentioning

confidence: 99%

Towards Developing Metrics to Evaluate Digital Engineering

Henderson

McDermott

Aken

et al. 2022

Systems Engineering

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“…While the use of SysML is crucial for establishing formal and unambiguous communications between system engineers, disciplinary designers, and system analysts, Modelica is an equation-based, object-oriented behavioral simulation language that has been shown to be a suitable language to take into account geometrical and multi-physical constraints at the conceptual design phase under a MBSE approach [20,21]. The synergy created by integrating SysML and Modelica in the design and specification of simulation systems is very significant and the advantages from the joint use of both languages are multiple [22,23].…”

Section: Methodology Adopted To Define the Simulation Modelmentioning

confidence: 99%

“…This is pointed out in [29] due to the clear evidence of the strong interdependence that exists between a product and its production system, especially when dealing with geometric variability models during product, process, and manufacturing systems lifecycles. SysML and Modelica have shown their ability to represent simplified product geometries (lightweight models) and tolerances [21,30,31].…”

mentioning

confidence: 99%

Multidomain Simulation Model for Analysis of Geometric Variation and Productivity in Multi-Stage Assembly Systems

et al. 2020

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Nowadays, the new era of industry 4.0 is forcing manufacturers to develop models and methods for managing the geometric variation of a final product in complex manufacturing environments, such as multistage manufacturing systems. The stream of variation model has been successfully applied to manage product geometric variation in these systems, but there is a lack of research studying its application together with the material and order flow in the system. In this work, which is focused on the production quality paradigm in a model-based system engineering context, a digital prototype is proposed to integrate productivity and part quality based on the stream of variation analysis in multistage assembly systems. The prototype was modelled and simulated with OpenModelica tool exploiting the Modelica language capabilities for multidomain simulations and its synergy with SysML. A case study is presented to validate the potential applicability of the approach. The proposed model and the results show a promising potential for future developments aligned with the production quality paradigm.

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“…In parallel, Model-Based Systems Engineering (MBSE) efficiently supports the multidisciplinary approach required by the design of such systems [14][15][16]. Thus, our research work focuses on the extension of the SAMOS (Spatial Architecture based on Multi-physics and Organization of Systems) MBSE approach [17], developed by R. Barbedienne for thermal constraints [18], to the EM constraints [15]. SAMOS supports the evaluation of 3D physical architecture under multi-physical constraints during the conceptual design phase.…”

Section: Samos Approach and 3d Multi-physical Sketchermentioning

confidence: 99%

“…The SAMOS approach, developed by Barbedienne et al, is based on the transformation of bilateral models from three different environments: the SysML model environment, the 3D environment and the physical behavior modelling environment [17]. Previous works have focused mainly on the evaluation of 3D architecture of concepts under thermal constraints.…”

Section: Proposed Approach Integration In the Samos Frameworkmentioning

confidence: 99%

Topological approach for assessment of electromagnetic interferences to support mechatronic conceptual design

Kharrat

Penas

Kharrat

et al. 2020

Mechanics & Industry

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The conceptual design is a crucial phase for the System Architects to evaluate 3D architecture concepts of mechatronic systems mainly with regard to the ElectroMagnetic Compatibility (EMC). Our research work deals with the combination of electromagnetic modeling and a topological approach to support the qualitative and quantitative ElectroMagnetic Interferences (EMI) evaluation process within the MBSE SAMOS approach as of the conceptual design. For a given interference, the analysis of topological models allows the qualitative identification of the existence of victims with their associated potential aggressors, based on the electrical schema of interacting components. Then, once the potential EMIs have been qualitatively identified, a quantitative evaluation can be performed based on the predefined electromagnetic and geometrical requirements, and on the analysis of the identified physical coupling law. Finally, this approach has been applied to the alien crosstalk occurring in an electrical vehicle powertrain, with a quantitative evaluation based on the two following methods: an analytical approach and Kron's approach.

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SAMOS for Spatial Architecture based on Multi-physics and Organisation of Systems in conceptual design

Cited by 9 publications

References 18 publications

Towards Developing Metrics to Evaluate Digital Engineering

Towards Developing Metrics to Evaluate Digital Engineering

Multidomain Simulation Model for Analysis of Geometric Variation and Productivity in Multi-Stage Assembly Systems

Topological approach for assessment of electromagnetic interferences to support mechatronic conceptual design

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