Aerodynamic Optimization and Lightweight Structural Design for High-performance RC Gliders: A Computational and Experimental Study

This article explores the aerodynamic optimization and lightweight structural design of high-performance radio-controlled (RC) gliders. By combining computational fluid dynamics (CFD) simulations, finite element analysis (FEA), and experimental testing, the research aims to boost the gliders' performance in terms of lift-to-drag ratio, flight endurance, and structural integrity. The aerodynamic shape of the glider wing and fuselage is optimized using a multi-objective genetic algorithm, while the structural components are crafted with advanced carbon fiber composites. The results reveal a 15% enhancement in the lift-to-drag ratio (from 25 to 28.75) and a 20% reduction in structural weight (from 1.5 kg to 1.2 kg), underscoring the significance of integrating computational and experimental approaches in designing high-performance unmanned aerial vehicles. The study also examines the glider's robustness under diverse environmental conditions, such as temperature, humidity, and wind effects, and offers insights into the economic feasibility of the optimized design.

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Publication Details

Journal
Engineering Advances
Published
2025-05-14
DOI
https://doi.org/10.26855/ea.2025.04.004
Primary Topic
Geochemistry and Geologic Mapping
Type
article
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article

Aerodynamic Optimization and Lightweight Structural Design for High-performance RC Gliders: A Computational and Experimental Study

Engineering Advances
Geochemistry and Geologic Mapping
article

Aerodynamic Optimization and Lightweight Structural Design for High-performance RC Gliders: A Computational and Experimental Study

article en

Abstract

This article explores the aerodynamic optimization and lightweight structural design of high-performance radio-controlled (RC) gliders. By combining computational fluid dynamics (CFD) simulations, finite element analysis (FEA), and experimental testing, the research aims to boost the gliders' performance in terms of lift-to-drag ratio, flight endurance, and structural integrity. The aerodynamic shape of the glider wing and fuselage is optimized using a multi-objective genetic algorithm, while the structural components are crafted with advanced carbon fiber composites. The results reveal a 15% enhancement in the lift-to-drag ratio (from 25 to 28.75) and a 20% reduction in structural weight (from 1.5 kg to 1.2 kg), underscoring the significance of integrating computational and experimental approaches in designing high-performance unmanned aerial vehicles. The study also examines the glider's robustness under diverse environmental conditions, such as temperature, humidity, and wind effects, and offers insights into the economic feasibility of the optimized design.

Engineering AdvancesVol. 5(2)
Aviation Industry Corporation of China (China) (CN), Taishan University (CN)
Affordable and clean energy
Openalex Percentile: Top 37%
Geochemistry and Geologic Mapping
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