This content is not included in your SAE MOBILUS subscription, or you are not logged in.
A Methodology for Systems Integration in Aircraft Conceptual Design - Estimation of Required Space
ISSN: 0148-7191, e-ISSN: 2688-3627
Published September 17, 2013 by SAE International in United States
Annotation ability available
This paper presents a methodology for conceptual aircraft design to evaluate the space available for systems (top-down approach) and to estimate the space required for critical components impacting the aircraft configuration (bottom-up approach). The presented top-down approach introduces the concept of “equivalent design volume”, including the space required for systems and the associated empty space to access, maintain and ventilate them. This approach enables an early feasibility check for aircraft configuration exploration regarding the integration and installation of systems, without having to detail the system architecture. In complement, the bottom-up approach introduces the estimation of the required dimensions for critical components. Here, the example of the flight control actuators integration in the wing tip is presented.
|Technical Paper||A Rational Method for Selecting Business Aircraft|
|Technical Paper||THE CHALLENGE OF THE PERFORMANCE SPECTRUM FOR MILITARY AIRCRAFT -- THE MEANING OF SPEED|
|Aerospace Standard||Information on Hard Landings|
CitationLiscouet-Hanke, S. and Huynh, K., "A Methodology for Systems Integration in Aircraft Conceptual Design - Estimation of Required Space," SAE Technical Paper 2013-01-2235, 2013, https://doi.org/10.4271/2013-01-2235.
- Piperni P. , DeBlois A. , Henderson R. Development of a Multi-level MDO capability for an Industrial Environment AIAA Journal 2012
- Raymer D. Vehicle scaling laws for multidisciplinary optimization: use of Net Design Volume to improve optimization realism AIAA Paper 2001-5246 2001
- Banerjee S. , Thomas P. , Cai X. Catia V5 based parametric aircraft modeler, 13A TC-0160
- Tfaily A. , Huynh K. , Piperni P. , Liscouet-Hanke S. Landing Gear Integration in an Industrial Multi-Disciplinary Optimization Environment 13ATC-0159