Model-based design and multidisciplinary optimization of complex system architectures in the aircraft cabin

被引:0
|
作者
Ghanjaoui Y. [1 ]
Fuchs M. [1 ]
Biedermann J. [1 ]
Nagel B. [1 ]
机构
[1] Institute of System Architectures in Aeronautics, German Aerospace Center (DLR), Hein-Saß-Weg 22, Hamburg
关键词
Aircraft cabin; Digital thread; MBSE; Multi-objective optimization;
D O I
10.1007/s13272-023-00683-w
中图分类号
学科分类号
摘要
The aviation industry is currently facing major challenges due to environmental and socio-economic trends toward sustainable and digitalized aviation. Revolutionary, more powerful and efficient technologies must be rapidly integrated into aircraft, while aircraft manufacturers must demonstrate the required safety. To support the implementation of new concepts, the DLR Institute of System Architectures in Aeronautics is researching methods for end-to-end digitalization from the preliminary design phase to assembly and production. In this context, Model-Based Systems Engineering (MBSE) and Multidisciplinary Design Optimization are important approaches for the development of complex systems. This paper presents a method for the end-to-end use of digital models for multidisciplinary optimization of system architectures. The Systems Modeling Language (SysML) is used to represent the system architecture. The focus is on the cabin and cabin systems, since they are highly coupled to other aircraft systems and have dynamic, customer-specific configuration requirements. The system architecture in SysML is instantiated and configured by the interface to the aircraft fuselage and cabin design parameter sets in the Common Parametric Configuration Schema. The subsequent coupling of the generated system architecture model with the cabin system design model developed in Matlab allows a multidisciplinary optimization of the system properties. A sensitivity analysis is performed using the Passenger Service Unit as an example. The effects of different cabin configurations on the system architecture are investigated and interdisciplinary synergies are identified and analyzed. The results of this analysis are discussed in this paper. © 2023, The Author(s).
引用
收藏
页码:895 / 911
页数:16
相关论文
共 50 条
  • [1] Model-based assembly process planning for flexible aircraft cabin architectures
    Ghanjaoui, Yassine
    Satwan, Philip
    Biedermann, Jörn
    Nagel, Björn
    CEAS Aeronautical Journal, 2024, 15 (04) : 1145 - 1156
  • [2] Using Model-Based Security Engineering in the Development of Complex Aircraft Cabin Systems
    Hintze, Hartmut
    God, Ralf
    SAE INTERNATIONAL JOURNAL OF AEROSPACE, 2015, 8 (01): : 89 - 96
  • [3] Application Practice of Model-Based System Engineering Method in Civil Aircraft Cabin Pressure Control System Design
    Tang Chao
    Li Litao
    He Yan
    Li Jiafeng
    Zhang Kaili
    Zhang Xinai
    2021 7TH INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND AUTOMATION (ICMEAS 2021), 2021, : 190 - 194
  • [4] A model-based method for the generation and optimization of complex systems architectures
    Albarello, Nicolas
    Welcomme, Jean-Baptiste
    2012 IEEE INTERNATIONAL SYSTEMS CONFERENCE (SYSCON), 2012, : 578 - 583
  • [5] Kriging model-based multidisciplinary design optimization for turbine blade
    Han, Yong-Zhi
    Gao, Hang-Shan
    Li, Li-Zhou
    Yue, Zhu-Feng
    Hangkong Dongli Xuebao/Journal of Aerospace Power, 2007, 22 (07): : 1055 - 1059
  • [6] Model-Based Design of Aircraft Landing Gear System
    Delprete, Cristiana
    Dagna, Alberto
    Brusa, Eugenio
    APPLIED SCIENCES-BASEL, 2023, 13 (20):
  • [7] Optimization of computer aided industrial design system for passenger aircraft cabin
    Yuan X.
    Niu X.
    Computer-Aided Design and Applications, 2022, 19 (01): : 54 - 64
  • [8] Performance based multidisciplinary design optimization of morphing aircraft
    Afonso, Frederico
    Vale, Jose
    Lau, Fernando
    Suleman, Afzal
    AEROSPACE SCIENCE AND TECHNOLOGY, 2017, 67 : 1 - 12
  • [9] Cabin Pressurization Control System Design of Civil Aircraft by Model Based Systems Engineering
    Xu, Xiaodong
    Zhang, Shaojie
    Hai, Xiaohang
    2017 CHINESE AUTOMATION CONGRESS (CAC), 2017, : 3035 - 3040
  • [10] Multidisciplinary System Design Optimization of On Orbit Satellite Assembly Architectures
    Sternberg, David
    Chodas, Mark
    Jewison, Chris
    Jones, Michael
    De Weck, Olivier
    2015 IEEE AEROSPACE CONFERENCE, 2015,