Initial weight estimation of twin-fuselage configuration in aircraft conceptual design-Reference-Cited by-同舟云学术

Initial weight estimation of twin-fuselage configuration in aircraft conceptual design

Published:2022-05-06 Issue:1 Volume:237 Page:130-140
ISSN:0954-4100
Container-title:Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
language:en
Short-container-title:Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering

Author:

Ma Yiyuan¹^ORCID,Yan Jin¹,Elham Ali²

Affiliation:

1. Institute of Aircraft Design and Lightweight Structures, Technische Universität Braunschweig, Braunschweig, Germany

2. Computational Engineering and Design Group, University of Southampton, Southampton, UK

Abstract

The Ultra-High Aspect Ratio Wing (UHARW) concept can improve the aircraft’s aerodynamic efficiency and reduce fuel consumption. The Twin-Fuselage (TF) configuration is one of the promising concepts for the UHARW design to reduce the wing bending moments and shear forces. This paper presents the development of a semi-empirical method for the weight estimation of TF aircraft in the initial sizing stage. A physics-based wing weight estimation method is improved for higher fidelity aerodynamic analysis and modified for composite material structures of TF aircraft. This method is used in the design of experiments and the results are applied for regression analysis to establish a semi-empirical method. Eventually, the established semi-empirical weight estimation method is integrated into a TF aircraft conceptual design and performance analysis framework. A mid-range TF aircraft and a long-range TF aircraft are designed and sized to illustrate its application and efficiency in rapidly estimating the TF aircraft weight breakdown.

Funder

Clean Sky 2 Joint Undertaking

Publisher

SAGE Publications

Subject

Mechanical Engineering,Aerospace Engineering

Link

http://journals.sagepub.com/doi/pdf/10.1177/09544100221095370

Reference34 articles.

1. Conceptual Design Trade Study for an Energy-Efficient Mid-Range Aircraft with Novel Technologies

2. Adaptive-Fidelity Design Automation Framework to Explore Bioinspired Surface Riblets for Drag Reduction

3. Lukaczyk TW, Wendorff AD, Colonno M, et al. SUAVE: an open-source environment for multi-fidelity conceptual vehicle design. In: 33rd AIAA Applied Aerodynamics Conference, Dallas, TX, 22 June 2015, 2015.