Because of the light weight, high stiffness and high structural efficiency, aluminium alloy integral panels
are widely used on modern aircrafts. Press bend forming has many advantages, and it becomes a significant
technique in aircraft manufacturing field. In order to design the press bend forming path for aircraft integral
panels, we propose a novel optimization method which integrates the finite element method (FEM) equivalent
model based on our previous study, the artificial neural network response surface, and the genetic algorithm.
First, a multi-step press bend forming FEM equivalent model is established, with which the FEM experiments
designed with Taguchi method are performed. Then, the backpropagation (BP) neural network response surface is
developed with the sample data from the FEM experiments. Further more, genetic algorithm (GA) is applied with
the neural network response surface as the objective function. Finally, experimental and simulation verifications
are carried out on a single stiffener specimen. The forming error of the panel formed with the optimal path is only
5.37% and the calculating efficiency has been improved by 90.64%. Therefore, this novel optimization method is
quite efficient and indispensable for the press bend forming path designing.
YAN Yu1 (阎昱), WANG Hai-bo1* (王海波), WAN Min2 (万敏)
. Forming Path Optimization for Press Bending of
Aluminum Alloy Aircraft Integral Panel[J]. Journal of Shanghai Jiaotong University(Science), 2012
, 17(5)
: 635
-642
.
DOI: 10.1007/s12204-012-1336-3
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