Designing mechatronic systems implies collaborative work with shared parameters between contributors from different domains. Moreover, each domain needs to capitalize knowledge (e.g. design rules) in order not to reinvent specific calculation or simulation processes. In this paper, it is explained how students have been implied in a collaborative design project dealing with an aeronautic actuator, namely an EMA (Electro-Mechanical Actuator) for aileron actuation. Comparing three candidate kinematic architectures regarding the initial set of requirements, the project articulates modeling and simulation with Modelica language, the selection of relevant COTS components and their integration into a 3D mock-up within a wing and aileron assembly. In order to share relevant system and components parameters between design activities, KARREN tool is evaluated and configured for this project thanks to a preliminary systems engineering study to minimize the number of needed iterations to eventually converge on appropriate architectural solutions and their evaluation and comparison.
The systems analysis process builds on decisions rooted in results from quantitative tradeoff studies. A consensus on its activities is widely shared and documented by norms and handbooks: ISO/IEC/IEEE 15288:2015, INCOSE Systems engineering handbook.2015 and NASA handbook.2007. Nonetheless, the development of methodologies supporting traceability between the systems analysis process and the other systems engineering processes is still an open area of research, especially within the framework of model‐based approaches. As a result, documents justifying architecture choices are still produced by consolidating data manually; and what is more, data evolution is also verified manually. Such time‐consuming tasks have no real added value but are potential sources of error. Tooling the capitalization of the tradeoff data—including the rationales based on parameter values and their evolutions from project milestone to project milestone—would significantly facilitate the production and integrity of the documentation of architecture justification. This article reports on the results of our research in this direction.
The laws of physics bring into play geometric dimensions and directions. Consequently, systems engineering can in no way ignore the reciprocal effects of choices concerning the system's geometry and architecture on expected performance (electromagnetic phenomena, heat propagation and pressure loss, for example, are recurring issues in systems engineering projects). Such challenges elicit the need to define which processes and methods would permit to concurrently design a system's architecture, its geometry, and the three‐dimensional layout of its constituent parts. The purpose of this report is to present elements of an answer to this need. They were provided by a systems engineering methodology based on system architecture and three‐dimensional models as well as functional models. Based on modeling and simulation techniques, this methodology was developed and applied as part of the O2M research project sponsored by the competitiveness clusters System@tic and Moveo (two French agencies promoting applied research projects that bring together research laboratories, large industrial groups, and small and medium‐sized organizations).
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