1 option
Weight Estimation of Novel Aircraft Configurations in Early Design Phase Airbus India
- Format:
- Book
- Conference/Event
- Author/Creator:
- Goyal, Tushar, author.
- Conference Name:
- AeroCON 2026 (2026-06-04 : Bangalore, India)
- Language:
- English
- Subjects (All):
- Aviation fuels.
- Mathematical models.
- Fuel tanks.
- Machine learning.
- Aircraft.
- Hydrogen fuel.
- Fuel systems.
- Fuselages.
- Local Subjects:
- Aviation fuels.
- Mathematical models.
- Fuel tanks.
- Machine learning.
- Aircraft.
- Hydrogen fuel.
- Fuel systems.
- Fuselages.
- Physical Description:
- 1 online resource
- Place of Publication:
- Warrendale, PA SAE International 2026
- Summary:
- Initial weight estimation from Top Level Aircraft Requirements (TLAR) is a critical first step in aircraft design, yet existing empirical methods are inadequate for novel configurations such as those using Liquid Hydrogen (LH2) or Sustainable Aviation Fuels (SAF). This paper presents a hybrid methodology for top-level weight estimation of such unconventional aircraft. The approach is based on modifying a conventional baseline aircraft, integrating a new statistical model with component-specific weight estimations. A multivariate regression model to estimate the empty weight fraction (We/W0) was developed from a dataset of 44 conventional aircraft, yielding an R-squared value of 0.833. This statistical model was integrated with physics-based models for novel components, including cryogenic fuel tanks and fuel systems. The methodology accounts for iterative changes to fuselage structure and parasitic drag. Four configurations were analyzed: fuel types being Jet A1, SAF, LH2 with aft-fuselage tanks, and LH2 with under-wing podded tanks. The results demonstrate that while LH2 configurations introduce weight penalties for tanks and systems, these are significantly offset by a reduction in fuel weight, resulting in a final Maximum Takeoff Weight (MTOW) comparable to or lower than the conventional baseline. The modular nature of this methodology makes it a viable tool for exploring the design space in early-stage conceptual design
- Notes:
- Vendor supplied data
- Access Restriction:
- Restricted for use by site license
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