Optimizing UAV Wing Performance: A Computational Analysis with Computer-Based Algorithms for Composite Material Integration
Journal Title: International Journal of Innovations in Science and Technology - Year 2024, Vol 6, Issue 1
Abstract
Introduction/Importance of Study: The aircraft wing, a vital component, demands intricate design to balance lift generation, drag reduction, and weight minimization. In advanced UAVs (Unmanned Aerial Vehicles), prioritizing stealth and low weight, a pioneering solution involves replacing traditional metallic wing components with composite materials, offering superior lightweight properties, strength, durability, and flexibility. Novelty Statement: Since most of the studies focus on fuselage, wing ribs, and skin, this research emphasizes spars which are a primary component of the wing. Material and Method: Composite material T800S/3900-2 is a widely used carbon fiber material in the aerospace industry, which is proposed to be utilized in wing spars. The finite element method is used to carry out the investigation and verification of this transition of materials from metals to composite materials. Result and Discussion: By varying ply orientations and thicknesses of composite materials to match the stiffness and strength of metal spars, our findings demonstrate that composite wing spars exhibit equivalent stiffness, greater strength, and reduced weight compared to traditional metallic counterparts. Concluding Remarks: The shift to composite materials in UAV wing design offers a transformative solution. This research shows that for optimal structural performance and achieving lower weight objective composite materials, composite materials are the most suitable materials for UAV wing spars.
Authors and Affiliations
Ahmad Ullah,Malik Nazir Ahmed, Babar Saeed
Assessment of Public Participation Modalities through Social Media Platforms for Approval of Private Housing Schemes: Case Studies under LDA Lahore, Pakistan
Public participation through social media networks in Private housing scheme (PHS) projects is essential for fostering a feeling of community and avoiding resistance to the planning of housing scheme initiatives. It mi...
Clinical Prediction of Female Infertility Through Advanced Machine Learning Techniques
Infertility in females implies failure by such women to conceive even after having at least one year of intercourse without using any contraceptives. Infertility can be caused by a variety of factors, including ovulati...
Complex Human Activities Recognition Using Smartphone Sensors: A Deep Learning Approach
Human Activity Recognition (HAR) plays a critical role in understanding human behavior, with mobile phone sensors offering a promising approach for practical applications. This research uniquely addresses the challenge...
Breaking Down Monoliths: A Graph Based Approach to Microservices Migration
Introduction: The software industry has increasingly transitioned from Monolithic Architecture (MA) to Microservices Architecture (MSA) due to the significant advantages offered by MSA. A crucial first step in this mig...
Automated Seismic Horizon Tracking Using Advance Spectral Decomposition Method
Introduction/Importance of Study: In three-dimensional seismic interpretation, automatic horizon tracking is a critical productivity tool. However, it often fails in areas where horizons are not smooth and exhibit shar...