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Optimal design of fighter aircraft wing panels laminates under multi-load case environment by ply-drop and ply-migrations

机译:多层落体和层间迁移在多载荷工况下优化战斗机机翼层压板设计

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The ply-drop (PD) is termination of specific plies at rib-axis for getting tapered laminates. The present optimization study aims to achieve minimum weight tapered wing panels laminates by PD followed by ply-migrations (PM). The PM are required for ply-continuity (blending) and achieving smooth external aerodynamic surface. A genetic-algorithm mutation operator and fitness based search algorithm is developed in the present study for the optimization. The laminate weight minimization has been achieved as goal of multi-objective optimization (MOO), by utilizing excess design margins of Tsai-Wu first ply failure-index (FI) and wing tip lateral deflection. The finite-element (FE) model of laminate is a set of discrete laminates (chromosomes) between ribs with continuity by virtue of ply-orientations. To select best fit laminate, ply orientations were randomly selected and perturbed for thickness during optimization. The fitness function for evaluating chromosomes is a composite function of multi-objective design requirements and design constraints. The algorithm submits orientation/thickness combinations to ABAQUS/CAE by python-script for function evaluation. The application of algorithm over an initially assumed quasi-isotropic laminate of uniform thickness showed 57% weight reduction for a fighter aircraft's wing panel. The optimization process is automated making PD practically viable in the design process itself.
机译:帘布层落(PD)是特定层在肋轴处的终止,以得到锥形层压板。本优化研究旨在通过PD和层间迁移(PM)来实现最小重量的锥形翼面板层压板。保持层间连续性(共混)并获得光滑的外部空气动力学表面需要PM。本研究开发了一种基于遗传算法变异算子和适应度的搜索算法进行优化。通过利用Tsai-Wu第一帘布层破坏指数(FI)和翼尖横向偏斜的多余设计余量,实现了将层压板重量最小化作为多目标优化(MOO)的目标。层压板的有限元(FE)模型是一组肋之间的不连续层压板(染色体),它们通过层定向而具有连续性。为了选择最合适的层压板,可以在优化过程中随机选择层方向并对其厚度进行扰动。用于评估染色体的适应度函数是多目标设计要求和设计约束的组合函数。该算法通过python-script向ABAQUS / CAE提交方向/厚度组合以进行功能评估。在最初假定的均匀厚度的准各向同性层压板上应用算法表明,战斗机机翼板的重量减轻了57%。优化过程是自动化的,从而使PD在设计过程本身中切实可行。

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