stiffener layout
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2021 ◽  
Vol 5 (12) ◽  
pp. 324
Author(s):  
Sofía Arranz ◽  
Abdolrasoul Sohouli ◽  
Afzal Suleman

Automated Fiber Placement (AFP) machines can manufacture composite panels with curvilinear fibers. In this article, the critical buckling load of grid-stiffened curvilinear fiber composite panels is maximized using a genetic algorithm. The skin is composed of layers in which the fiber orientation varies along one spatial direction. The design variables are the fiber orientation of the panel for each layer and the stiffener layout. Manufacturing constraints in terms of maximum curvature allowable by the AFP machine are imposed for both skin and stiffener fibers. The effect of manufacturing-induced gaps in the laminates is also incorporated. The finite element method is used to perform the buckling analyses. The panels are subjected to in-plane compressive and shear loads under several boundary conditions. Optimization results show that the percentage difference in the buckling load between curvilinear and straight fiber panels depends on the load case and boundary conditions.


Author(s):  
Florent Savine ◽  
François-Xavier Irisarri ◽  
Cédric Julien ◽  
Angela Vincenti ◽  
Yannick Guerin

2020 ◽  
Vol 33 (5) ◽  
pp. 650-662
Author(s):  
Zhi Sun ◽  
Ronghua Cui ◽  
Tianchen Cui ◽  
Chang Liu ◽  
Shanshan Shi ◽  
...  

2019 ◽  
Vol 9 (23) ◽  
pp. 5196 ◽  
Author(s):  
You Ding ◽  
Zhou Zhou ◽  
ZhengPing Wang ◽  
HongJun Liu ◽  
KeLei Wang

A cellular-based evolutionary topology optimization scheme over a small curvature big contour wing surface is proposed for the design of an ultralight surface structure. Using this method, a ground-structure technique is first applied to obtain homogeneous mesh generation with a predefined weight value over the design domain. Secondly, the stiffener path’s description is guided by a modified map L system topology method that simulates the growth of the bionic branch, and the structural components are obtained by the specified searching method according to weights of the previous mesh vertexes. Thirdly, an optimal curved stiffener layout is achieved using an agent-based algorithm to create individual instances of designs based on a small number of input parameters. These parameters can then be controlled by a genetic algorithm to optimize the final design according to goals like minimizing weight and structural weakness. A comparison is implemented for long-span panel stiffener layout generation between an initial straight case and a bionic optimal case via our method, thereby indicating the significant improvement of the buckling loads by steering the stiffener’s path. Finally, this bionic method is applied to the wing box structure design and achieves remarkable weight loss at last.


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