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Multidisciplinary design optimization of aircraft wing using commercial software integration

机译:使用商业软件集成对飞机机翼进行多学科设计优化

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In this paper, a fully automated framework dedicated to the high-fidelity multidisciplinary design optimization of aircraft wing is developed. This design framework integrates a set of popular commercial software using their programming/scripting capabilities. It goes through geometric modeling in SIEMENS NX, aerodynamic meshing in ICEM CFD, flow solution using ANSYS FLUENT, structural finite element modeling in MSC.PATRAN and structural sizing in MSC.NASTRAN. By adopting a parametric modeling methodology, the structural and aerodynamic metrics reflecting the wing performance can be evaluated given a description of its shape and dimensions. In order to overcome the high cost of simulation models and allow the efficient solution of high-fidelity optimization problems, a surrogate-based optimization strategy is adopted. The reliability of the proposed approach is investigated through its application to the design of a high-speed passenger aircraft wing. The optimization objective is to maximize the aircraft range, given by the Breguet equation, while maintaining the lift coefficient and the structural safety. The case study results in a 8.9% increase in the range by considering shape and structural design variables. (C) 2019 Elsevier Masson SAS. All rights reserved.
机译:在本文中,开发了专门用于飞机机翼高保真多学科设计优化的全自动框架。该设计框架使用其编程/脚本功能集成了一组流行的商业软件。它经历了SIEMENS NX中的几何建模,ICEM CFD中的气动网格划分,使用ANSYS FLUENT进行的流动求解,MSC.PATRAN中的结构有限元建模以及MSC.NASTRAN中的结构尺寸确定。通过采用参数化建模方法,可以在给出其形状和尺寸说明的情况下评估反映机翼性能的结构和空气动力学指标。为了克服仿真模型的高成本并允许高保真优化问题的有效解决方案,采用了基于代理的优化策略。通过将其应用于高速客机机翼的设计,研究了该方法的可靠性。优化目标是在保持升力系数和结构安全性的同时,最大化由宝equation方程式给出的飞机航程。通过考虑形状和结构设计变量,案例研究可将范围增加8.9%。 (C)2019 Elsevier Masson SAS。版权所有。

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