Quadcopter Unmanned Aerial Vehicle Structural Design Using an Integrated Approach of Topology Optimization and Additive Manufacturing

Author:

Al-Haddad Luttfi A.1ORCID,Jaber Alaa Abdulhady2ORCID,Giernacki Wojciech3ORCID,Khan Zeashan Hameed4ORCID,Ali Khalid Mohsin5,Tawafik Mauwafak Ali6,Humaidi Amjad J.7

Affiliation:

1. Training and Workshops Center, University of Technology-Iraq, Baghdad 19006, Iraq

2. Mechanical Engineering Department, University of Technology-Iraq, Baghdad 19006, Iraq

3. Faculty of Automatic Control, Robotics and Electrical Engineering, Institute of Robotics and Machine Intelligence, Poznan University of Technology, 60-965 Poznan, Poland

4. Interdisciplinary Research Center for Intelligent Manufacturing and Robotics (IRC-IMR), King Fahd University of Petroleum & Minerals (KFUPM), Dhahran 31261, Saudi Arabia

5. Department of Computer Engineering Technology, Faculty of Information Technology, Imam Ja’afar Al-sadiq University, Baghdad 10068, Iraq

6. Department of Refrigeration and Air Conditioning, AlNukhba University College, Baghdad 10066, Iraq

7. Control and Systems Engineering Department, University of Technology-Iraq, Baghdad 19006, Iraq

Abstract

The performance of quadcopter frames, particularly in terms of weight and crash resistance, is significantly influenced by their structural design and manufacturing process. In this work, a methodology is proposed that integrates advanced principles of topology optimization (TO) and additive manufacturing (AM) techniques to optimize the frame structure for improved performance. First, an analysis is conducted to evaluate existing quadcopter frame configurations, identifying areas for improvement. Experimental evaluations of thrust and moment of motors are performed to assess the performance of the enhanced quadcopter frame, with a focus on advancing the design through computer-aided simulations of static structural analysis and impact tests. The TO technique is then employed to determine the optimal distribution of material within the frame, governed by constraints such as weight reduction and mechanical strength. The results demonstrate that the overall performance of a quadcopter frame is significantly improved by the proposed methodology, showcasing advancements in stability, weight reduction, and crashworthiness. The resulting optimized frame design is subsequently manufactured using AM methods, which offer advantages such as design flexibility and the ability to produce complex geometries. The findings of this study contribute to the field of quadcopter design and optimization by highlighting the synergies between TO and AM techniques. An avenue is offered for the development of lightweight and robust quadcopter frames, as the capabilities and performance of quadcopter systems are advanced. The insights gained from this research open up opportunities for further advancements in the design and manufacturing of UAVs.

Publisher

MDPI AG

Reference55 articles.

1. Usage of Drones or Unmanned Aerial Vehicles (UAVs) for Effective Aerial Surveillance, Mapping System and Intelligence Gathering in Combating Insecurity in Nigeria;Abiodun;Afr. J. Soc. Sci. Humanit. Res.,2020

2. A Review of Quadrotor Unmanned Aerial Vehicles: Applications, Architectural Design and Control Algorithms;Idrissi;J. Intell. Robot Syst.,2022

3. Maturity Levels of Public Safety Applications Using Unmanned Aerial Systems: A Review;Stampa;J. Intell. Robot. Syst. Theory Appl.,2021

4. Al-Haddad, L.A., and Jaber, A. (2022, January 23). Applications of Machine Learning Techniques for Fault Diagnosis of UAVs. Proceedings of the 8th Scholar’s Yearly Symposium of Technology, Engineering and Mathematics, Brunek, Italy.

5. Al-Haddad, L.A., and Jaber, A.A. (2023). An Intelligent Fault Diagnosis Approach for Multirotor UAVs Based on Deep Neural Network of Multi-Resolution Transform Features. Drones, 7.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3