What is it about?
The field of Unmanned Aerial Vehicles (UAVs) has witnessed a surge in demand for efficient and optimized designs, prompting researchers to explore advanced methodologies. This literature review delves into key aspects of integrating multi-granular fidelity optimization and innovative parameterization for UAV design, reviewing existing literature to provide a comprehensive background for the proposed research [1-60].
Featured Image
Photo by Elena Mozhvilo on Unsplash
Why is it important?
The evolving landscape of Unmanned Aerial Vehicle (UAV) design demands an integrated approach, harmonizing low-grained and high-grained fidelity methods. Notably, the utilization of low-grained fidelity tools facilitates swift aerodynamic exploration, generating an exponential number of samples, which could be difficult to individually analyze [1]. The subsequent transition to high-grained simulations, employing industry-standard tools such as ANSYS and Hyper Mesh, ensures proper validation and precise analysis of selected designs [1,61-63].
Perspectives
Resource optimization is intrinsic to this methodology, directing high-grained simulations towards a judiciously curated subset of designs identified as promising through low-grained exploration. The efficiency impact is substantial, as the integration of speed and precision expedites decision-making in preliminary and conceptual design phases [3,5,64-75]. This strategic two-tiered design process offers a systematic exploration of multidisciplinary aspects of UAV design, emphasizing the intricate interplay of aero-structural optimization.
Richard (Ricky) Smith Jr.
Read the Original
This page is a summary of: Integrated Multi-fidelity Structural Optimization for UAV Wings, IgMin Research, May 2024, IgMin Publications Inc.,
DOI: 10.61927/igmin191.
You can read the full text:
Contributors
The following have contributed to this page
