Proposing a Specification Structure for Complex Products in Model-Based Systems Engineering (Mbse)

Fahl, Joshua; Hirschter, Tobias; Wöhrle, Gabriel; Albers, Albert

doi:10.1017/pds.2021.509

Cited by 2 publications

(2 citation statements)

References 17 publications

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“…These limits depend on the application and are here set to D 2,max = 150 mm and b 2,max = 30 mm. Additionally, the pump shall be operated at a maximum speed of n max = 2500 1 min for noise and material strength reasons. Further requirements weigh the importance of installation space and efficiency of the pump.…”

Section: Test Workflowmentioning

confidence: 99%

“…Boundary conditions such as increasingly stringent emissions legislation and advancing urbanization pose technological challenges for the automotive industry. In addition, stakeholder requirements regarding functionality, quality, and cost-efficiency are increasing [1]. These challenges are increasingly being met by four key trends [2]: electrification, autonomous driving, connected vehicles, and shared mobility.…”

Section: Introduction 1motivationmentioning

confidence: 99%

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Optimization Workflows for Linking Model-Based Systems Engineering (MBSE) and Multidisciplinary Analysis and Optimization (MDAO)

et al. 2022

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Developing modern products involves numerous domains (controlling, production, engineering, etc.) and disciplines (mechanics, electronics, software, etc.). The products have become increasingly complex while their time to market has decreased. These challenges can be overcome by Model-Based Systems Engineering (MBSE), where all development data (requirements, architecture, etc.) is stored and linked in a system model. In an MBSE system model, product requirements at the system level can lead to numerous technical variants with conflicting objectives at the parameter level. To determine the best technical variants or tradeoffs, Multidisciplinary Analysis and Optimization (MDAO) is already being used today. Linking MBSE and MDAO allows for mutually beneficial synergies to be expected that have not yet been fully exploited. In this paper, a new approach to link MBSE and MDAO is proposed. The novelty compared to existing approaches is the reuse of existing MBSE system model data. Models developed during upstream design and test activities already linked to the MBSE system model were integrated into an MDAO problem. Benefits are reduced initial and reconfiguration efforts and the resolution of the MDAO black-box behavior. For the first time, the MDAO problem was modeled as a workflow using activity diagrams in the MBSE system model. For a given system architecture, this workflow finds the design variable values that allow for the best tradeoff of objectives. The structure and behavior of the workflow were formally described in the MBSE system model with SysML. The presented approach for linking MBSE and MDAO is demonstrated using an example of an electric coolant pump.

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Section: Test Workflowmentioning

confidence: 99%

Section: Introduction 1motivationmentioning

confidence: 99%