Aero-structural numerical analysis of a blended wing body unmanned aerial vehicle using a jute-based composite material

被引:4
|
作者
Sarmiento, Edgar [1 ]
Diaz-Campoverde, Carlos [2 ]
Rivera, Jose [1 ]
Cruzatty, Cristian [1 ]
Cando, Edgar [1 ]
Valencia, Esteban [1 ]
机构
[1] Escuela Politec Nacl, Dept Mech Engn, Ladron De Guevara E11-253, Quito 17012759, Ecuador
[2] Escuela Politec Nacl, Dept Mat, Ladron De Guevara E11-253, Quito 17012759, Ecuador
关键词
Flight loads; Semi-monocoque structure; Jute Fiber Composite; Finite Element Method; Unmanned Aerial Vehicle;
D O I
10.1016/j.matpr.2021.07.470
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Research and development of biocomposites for Unmanned Aerial Vehicle (UAV) structures have become relevant throughout the last decade, due to their cost and lightweight accompanied with good mechanical properties. Moreover, Blended Wing Body configurations (BWB) have aroused special interest, because of their aerodynamic efficiency, manufacturing simplicity and increased fuel economy. In this context, the present study investigates the strength distribution in a semi-monocoque structure of a blended wing body UAV using a composite material based on pre-load jute fibers. For this aim, a three-dimensional numerical simulation with a unidirectional fluid-solid coupling is implemented in a steady analysis at cruise conditions. The air pressure distribution is calculated using computational fluids dynamics (CFD), which then incorporates the aerodynamic loads within the structural module and using finite element method (FEM) determines the static stress distribution and deformation. The properties and manufacturing characteristics of jute-based composite material used in the numerical analysis were incorporated in the analysis and the numerical model was validated against experimental data. Based on the comparison between the structure built by pre-load jute fibers-based composite material and EPO foam, the results show that the proposed material reduces the deformation in 65% and performs better mechanically. (c) 2022 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the Advances in Mechanical Engineering Trends.
引用
收藏
页码:50 / 57
页数:8
相关论文
共 50 条
  • [41] Enhanced Port Vulnerability Assessment Using Unmanned-Aerial-Vehicle-Based Structural Health Monitoring
    Brouziouti, Stavroula
    Sartampakos, Panagiotis
    Tsoukala, Vasiliki K.
    Tsoukala, Vasiliki K.
    SUSTAINABILITY, 2023, 15 (18)
  • [42] A Hazard Analysis Based Approach to Improve the Landing Safety of a Blended-wing-body Remotely Piloted Vehicle
    Lu Yi
    Zhang Shu-guang
    Li Xue-qing
    2ND INTERNATIONAL SYMPOSIUM ON AIRCRAFT AIRWORTHINESS (ISAA), 2011, 17
  • [43] Experimental and numerical validation of unmanned aerial vehicle structure fabricated using graphene based polymer matrix composites
    Vijayakumar R.
    Maharana S.K.
    International Journal of Vehicle Structures and Systems, 2021, 13 (01) : 60 - 64
  • [44] An Improved Unauthorized Unmanned Aerial Vehicle Detection Algorithm Using Radiofrequency-Based Statistical Fingerprint Analysis
    Yang, Shengying
    Qin, Huibin
    Liang, Xiaolin
    Gulliver, Thomas Aaron
    SENSORS, 2019, 19 (02)
  • [45] Mapping skips in sugarcane fields using object-based analysis of unmanned aerial vehicle (UAV) images
    Wachholz de Souza, Carlos Henrique
    Camargo Lamparelli, Rubens Augusto
    Rocha, Jansle Vieira
    Graziano Magalhaes, Paulo Sergio
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2017, 143 : 49 - 56
  • [46] Image-to-Image Translation-Based Structural Damage Data Augmentation for Infrastructure Inspection Using Unmanned Aerial Vehicle
    Gwon, Gi-Hun
    Lee, Jin-Hwan
    Kim, In-Ho
    Baek, Seung-Chan
    Jung, Hyung-Jo
    DRONES, 2023, 7 (11)
  • [47] An improved sensitivity-based coordination method using optimum sensitivity and its application to structural optimization of an unmanned aerial vehicle family
    Zou, Jun
    Yao, Weixing
    Xie, Jiang
    Mou, Haolei
    ENGINEERING OPTIMIZATION, 2021, 53 (03) : 425 - 439
  • [48] Deciduous tree species classification using object-based analysis and machine learning with unmanned aerial vehicle multispectral data
    Franklin, Steven E.
    Ahmed, Oumer S.
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2018, 39 (15-16) : 5236 - 5245
  • [49] Object-based spatiotemporal analysis of vine canopy vigor using an inexpensive unmanned aerial vehicle remote sensing system
    Mathews, Adam J.
    Mathews, Adam J., 1600, SPIE (08):
  • [50] Body Weight Estimation of Cattle in Standing and Lying Postures Using Point Clouds Derived from Unmanned Aerial Vehicle-Based LiDAR
    Wang, Yaowu
    Mucher, Sander
    Wang, Wensheng
    Kooistra, Lammert
    DRONES, 2025, 9 (02)