روند انتخاب مواد برای ساخت پهپاد چهارروتوره با ابعاد زمان-متغیر

نوع مقاله : مقاله پژوهشی

نویسندگان

1 کارشناسی، مهندسی مکانیک،فنی و مهندسی دانشگاه شهید چمران اهواز، اهواز، ایران

2 استادیار، مهندسی مکانیک، گروه مهندسی مکانیک، دانشکده مهندسی، دانشگاه شهید چمران اهواز، اهواز، خوزستان

3 کارشناسی ارشد، مهندسی مکانیک، فنی و مهندسی، دانشگاه شهید چمران اهواز، اهواز، ایران

4 استادیار، مهندسی مکانیک، فنی و مهندسی، دانشگاه شهید چمران اهواز، اهواز، ایران

چکیده
هدف این مقاله انتخاب مواد برای اجزای پهپاد چهارروتوره با ساختار زمان-متغیر است. استفاده از ساختار زمان-متغیر اگرچه امکان حرکت در مسیرها و قابلیت‌های متنوع را فراهم می‌کند، اما تغییر ابعاد احتمال شکست به دلیل اثرات بارگذاری، نیروهای عمودی و نیروی درگ موتورها بیشتر می‌کند؛ بنابراین در فرایند طراحی علاوه بر درنظرگرفتن وزن و هزینه، باید پارامترهای مربوط به دوام و تحمل بار سازه ربات نیز بررسی شود. بدین منظور ابتدا شبیه‌سازی به‌صورت جداگانه در محیط نرم‌افزاری انجام‌گرفته است و نتایج تحلیل تنش قطعات پهپاد چهار روتوره در جداول مربوطه قرار داده شدند. معیارهای مختلفی در انتخاب مواد مناسب برای ساخت وجود دارند که به این منظور در جداول طراحی اثربخشی هر معیار مشخص شده و در نهایت این که کدام مواد انتخاب بهینه‌تری برای استفاده است مشخص شده است. نتایج نشان می‌دهد با انتخاب مواد Aluminum 7075-T6 و ABS+ Filament، تغییر شکل بدنه در بار حداکثر موتورها بسیار اندک است و فاکتورهای وزن و هزینه تمام‌شده نیز بهینه می‌گردد.

کلیدواژه‌ها


عنوان مقاله English

Material Selection Perspective for Size-Adaptive Quadcopters

نویسندگان English

afshin abyaz 1
siavash fathollahi dehkordi 2
foad hamzeh 3
alireza naeimifard 4
1 Department of Mechanical Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran
2 Assistants professor, Mechanic Engineering Department, Shahid Chamran University of Ahvaz, Ahvaz, Khuzestan, Iran
3 Department of Mechanical Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran
4 Assistant Professor of Mechanical Engineering, Department of Mechanical Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran
چکیده English

The aim of this article is to select material for the components of the quadrotor drones with a time-variable structure. Although the use of a time-variable structure provides the capability to maneuver along various paths and exhibit diverse functionalities, dimensional changes may lead to component failures due to loads, vertical forces, and drag forces from the motors. Therefore, in the design process, in addition to considering weight and cost, parameters related to the durability and load-bearing capacity of the robot's structure must be examined. There are various criteria for selecting suitable materials for construction, and in this regard, the effectiveness of each criterion is specified in the design tables. Ultimately, the optimal materials for use are identified. The results indicate that by selecting Aluminum 7075-T6 and ABS+ Filament materials, the deformation of the drone's body under maximum motor loads is minimal, and the factors of weight and total cost are also optimized.

کلیدواژه‌ها English

Quadcopter design
Time Dependent Dimensions
Mechanical design
High-performance materials
Sustainable materials
[1] Ghobadi N, Dehkordi SF. Dynamic modeling and sliding mode control of a wheeled mobile robot assuming lateral and longitudinal slip of wheels. 2019 7th International Conference on Robotics and Mechatronics (ICRoM), Tehran, Iran, 2019;150-155.
[2] Tanha SDN, Dehkordi SF, Korayem AH. Control a mobile robot in Social environments by considering human as a moving obstacle. 2018 6th RSI International Conference on Robotics and Mechatronics (IcRoM), Tehran, Iran, 2018;256-260.
[3] Dehkordi SF. Dynamic analysis of flexible-link manipulator in underwater applications using Gibbs-Appell formulations. Noor Branch, Iran University of Science and Technology, Noor, Iran. 2021.
[4] Ginesi M, Meli D, Roberti A, Sansonetto N, Fiorini P. Dynamic movement primitives: Volumetric obstacle avoidance using dynamic potential functions. Journal of Intelligent & Robotic Systems. 2021;101:1-20.
[5] Yotov Y, Zlatov N, Hristov G, Zahariev P, Le CH, Gao X, et al. Innovative development of a flying robot with a flexible manipulator for aerial manipulations. 2023.
[6] Watkins S, Burry J, Mohamed A, Marino M, Prudden S, Fisher A, et al. Ten questions concerning the use of drones in urban environments. Building and Environment. 2020;167:106458.
[7] Asti IS, Agustinah T, Santoso A. Obstacle Avoidance with Energy Efficiency and Distance Deviation Using KNN Algorithm for Quadcopter. 2020 International Seminar on Intelligent Technology and Its Applications (ISITIA): IEEE, 2020; 285-91.
[8] Afifi A, Corsini G, Sable Q, Aboudorra Y, Sidobre D, Franchi A. Physical Human-Aerial Robot Interaction and Collaboration: Exploratory Results and Lessons Learned. 2023 International Conference on Unmanned Aircraft Systems (ICUAS): IEEE, 2023;956-62.
[9] Zhang J, Campbell JF, Sweeney II DC, Hupman AC. Energy consumption models for delivery drones: A comparison and assessment. Transportation Research Part D: Transport and Environment. 2021;90:102668.
[10] Tamke F, Buscher U. The vehicle routing problem with drones and drone speed selection. Computers & Operations Research. 2023;152:106112.
[11] Pérez Gordillo AM, Villegas Santos JS, Lopez Mejia OD, Suárez Collazos LJ, Escobar JA. Numerical and experimental estimation of the efficiency of a quadcopter rotor operating at hover. Energies. 2019;12:261.
[12] Ali Valipour MHK, Mina Rakhshi, Amin Yaghootian, Hamid M Sedighi. Metamaterials and their applications: an overview. Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications. 2022;236.
[13] Derpich I, Rey C. Drone Optimization in Factory: Exploring the Minimal Level Vehicle Routing Problem for Efficient Material Distribution. Drones. 2023;7:435.
[14] Seyed Mohammad Mehdi Jaafari KHS. A comparison on optimal torque vectoring strategies in overall performance enhancement of a passenger car. Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics. 2016;230.
[15] Pugliese LDP, Guerriero F, Macrina G. Using drones for parcels delivery process. Procedia Manufacturing.2020;42:488-97.
[16] Alawsi AAA, Jasim BH, Raafat SM. Design and implementation of a global smart box for quadcopter delivery system. 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS): IEEE; 2020. p. 1408-15.
[17] Arafat MY, Alam MM, Moh S. Vision-based navigation techniques for unmanned aerial vehicles: Review and challenges. Drones. 2023;7:89.
[18] Tullu A, Endale B, Wondosen A, Hwang H-Y. Machine learning approach to real-time 3D path planning for autonomous navigation of unmanned aerial vehicle. Applied Sciences. 2021;11:4706.
[19] Pedram Masajedi AG, Mohammad Shishesaz. Optimal control designing for a discrete model of helicopter in hover. 2012 International Conference on Control Engineering and Communication Technology. 2012.
[20] Xiong H, Hu J, Diao X. Optimize energy efficiency of quadrotors via arm rotation. Journal of Dynamic Systems, Measurement, and Control. 2019;141:091002.
[21] Karamipour E, Dehkordi SF, Korayem MH. Reconfigurable Mobile Robot with Adjustable Width and Length: Conceptual Design, Motion Equations and Simulation. Journal of Intelligent & Robotic Systems.2020;99:797-814.
[22] Karamipour E, Dehkordi SF. Omnidirectional mobile robot design with height and width adaptation. 2019 7th International Conference on Robotics and Mechatronics (ICRoM)2019;144-9.
دوره 3، شماره 3
پاییز 1402
صفحه 346-362

  • تاریخ دریافت 16 مهر 1402
  • تاریخ بازنگری 30 آبان 1402
  • تاریخ پذیرش 19 آذر 1402