Application of a multi-disciplinary design approach in a mechatronic engineering toolchain

2019 ◽  
Vol 67 (3) ◽  
pp. 246-269 ◽  
Author(s):  
Huaxia Li ◽  
Minjie Zou ◽  
Georg Hogrefe ◽  
Daria Ryashentseva ◽  
Michael Sollfrank ◽  
...  

Abstract Due to the increasing integration of different disciplines, the complexity in the development of mechatronic production systems is growing. To address this issue, a multi-disciplinary design approach has been proposed, which follows the model-based systems engineering (MBSE) architecture and integrates the interdisciplinary modeling approach SysML4Mechatronics. In this article, the applicability of this approach in the machine and plant manufacturing domain is demonstrated using five use cases. These use cases are derived from industry and are demonstrated in a lab-sized production plant. The results of the application show that the approach can completely fulfil the proposed industrial requirements, namely interdisciplinary modeling, comprehensibility of system modeling, reusability of the modeling components, coupling different engineering models and checking data consistency.

Author(s):  
Trevor Bailey ◽  
Suzanne Woll ◽  
Rajul Misra ◽  
Kevin Otto

This paper presents a model-based systems engineering methodology that can be applied to perform a root cause analysis on transient systems. The methodology extends existing root cause analysis best practice by incorporating system modeling and analysis techniques. The methodology is deployed through a detailed 5-step process to understand, identify, assess, FMEA, and validate potential transient system-level root causes. A transient performance reliability analysis for a dual mode refrigeration system is used to demonstrate how the methodology can be applied. The paper also describes a set of success factors for applying the methodology using a phased approach with a large cross-functional team.


Konstruktion ◽  
2020 ◽  
Vol 72 (11-12) ◽  
pp. 76-83
Author(s):  
Jens Pottebaum ◽  
Iris Gräßler

Inhalt Unscharfe Anforderungen, verschiedene Lösungs-alternativen oder eingeschränkt gültige Simulationsmodelle sind Beispiele für inhärente Unsicherheit in der Produktentwicklung. Im vorliegenden Beitrag wird ein modellbasierter Ansatz vorgestellt, der das industriell etablierte Denken in Sicherheitsfaktoren um qualitative Aspekte ergänzt. Modelle der Informationsqualität helfen, die Unsicherheit von Ent- wicklungsartefakten beschreibend zu charakterisieren. Mittels semantischer Technologien wird Unsicherheit so wirklich handhabbar – nicht im Sinne einer Berechnung, sondern im Sinne einer qualitativen Interpretation. Dadurch entsteht wertvolles Wissen für die iterative Anforderungsanalyse, die Bewertung alternativer System-Architekturen oder für die Rekonfiguration von Simulationen.


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