Research on topological optimization in design of Drone components fabricated by 3D printing technologies
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https://doi.org/10.54939/1859-1043.j.mst.97.2024.148-156Keywords:
Topological optimization; Drone; Lattice structures; 3D printing technology; Hyperworks.Abstract
Recently, drones have been widely used to perform tasks in different fields, such as military and agriculture. To improve exploitation performance, being compact and lightweight, drones are constantly designed and optimized. One of the current research directions in drone design is to optimize the structure and geometry of their main components, such as the arms and the body frame, and manufacture them using 3D printing. In this paper, the topology optimization and the geometrical optimization using lattice structures were investigated and applied to optimize the structure of the arms of a quadcopter Drone (DJI-f450) with the aid of Hyperworks software. The optimization design methods were performed according to the criteria of minimizing weight, increasing the rigidity and reliability of components. The results obtained show that all the methods considered enable the increase of stiffness and reliability while reducing the weight by at least 21.88% compared to the original structure. Among the studied optimization methods, the combination of topology and lattice optimization is more effective in increasing the rigidity and safety factor. The findings in this study confirm the necessity and performance of geometry optimization methods and 3D printing technologies to improve the product design and manufacturing process compared to traditional methods.
References
[1]. B. M. Philip, N. Kikuchi. "Generating optimal topologies in structural design using a homogenization method." Computer methods in applied mechanics and engineering 71.2: 197-224, (1988).
[2]. Bendsøe Martin Philip. Optimization of structural topology, shape, and material. Vol. 414. Berlin: Springer, (1995).
[3]. Bendsoe Martin Philip and Ole Sigmund. “Topology optimization: theory, methods, and applications”. Springer Science & Business Media, (2003).
[4]. Jihong Zhu and Tong Gao. “Topology optimization in engineering structure design”. Elsevier, (2016).
[5]. Topology Optimization Guide. https://www.topology-opt.com/software-list/
[6]. Chahine Gilbert, Pauline Smith, and Radovan Kovacevic. "Application of topology optimization in modern additive manufacturing." 2010 International Solid Freeform Fabrication Symposium. University of Texas at Austin, (2010).
[7]. Jihong Zhu et al. "A review of topology optimization for additive manufacturing: Status and challenges." Chinese Journal of Aeronautics 34.1 (2021): 91-110.
[8]. Fedulov B., Fedorenko A., Khaziev A., Antonov F. “Optimization of parts manufactured using continuous fiber three-dimensional printing technology”, Composites, Part B: Engineering. vol. 227. 109406, (2021).
[9]. Tang Yunlong, et al. "Lattice structure design and optimization with additive manufacturing constraints." IEEE Transactions on Automation Science and Engineering 15.4: 1546-1562, (2017).
[10]. Berke Bay and Meltem Eryildiz. "Design and Analysis of a Topology-Optimized Quadcopter Drone Frame." Gazi University Journal of Science Part C: Design and Technology: 1-1, (2024).
[11]. Sagar Nvss. et al. "Design and development of unibody quadcopter structure using optimization and additive manufacturing techniques." Designs 6.1: 8, (2022).
[12]. Sagar Nvss. et al. "Multistage mass optimization of a quadcopter frame." Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering: Proceedings of I-DAD 2020. Springer Singapore, (2021).
[13]. Martinez Leon A. S., Rukavitsyn A. N., and Jatsun S. F. "UAV airframe topology optimization." Proceedings of the 6th International Conference on Industrial Engineering (ICIE 2020) Volume I 6. Springer International Publishing, (2021).
[14]. Bright Jerrin et al. "Optimization of quadcopter frame using generative design and comparison with DJI F450 drone frame." IOP Conference Series: Materials Science and Engineering. Vol. 1012. No. 1. IOP Publishing, (2021).
