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Xie, N. (2015) Estimating Civil Aircraft’s Research and Manufacture Cost by Using Grey System Model and Neural Network Algorithm. Grey Systems: Theory and Application, 5, 89-104. https://doi.org/10.1108/gs-12-2014-0054

has been cited by the following article:

• TITLE: Multidisciplinary Design Optimization of UAV Considering Development Costs

  AUTHORS: Zhenxin Hong, Xiaojia Zhao, Hongxin Li

  KEYWORDS: UAV, Development Costs, Multidisciplinary Design and Optimization, Design Application

  JOURNAL NAME: World Journal of Engineering and Technology, Vol.12 No.4, November 27, 2024

  ABSTRACT: The paper establishes a multidisciplinary design and optimization framework that aims at minimizing Unmanned aerial vehicles (UAV) development costs. This framework integrates development costs as an equally important factor alongside weight and aerodynamic disciplines within the UAV design process. The OpenMDAO paradigm is employed to facilitate a standalone design and optimization application. A comprehensive multidisciplinary analysis module is developed, encompassing initial geometrical sizing, weight analysis, aerodynamic performance evaluation, and estimation models for development costs. The effectiveness of the framework is validated through a low-cost, high-performance UAV case study. The results demonstrate that neglecting the influence of UAV development costs would be imprudent. By appropriately adjusting design parameters using the optimization algorithm, significant reductions in UAV development costs can be achieved with minimal performance losses.