基于POA-BP的TP2管材自由弯曲成形结果预测

Prediction of free bending forming result of TP2 pipe based on POA-BP

将壁厚减薄率和椭圆率作为管材自由弯曲成形结果的评价指标,选取弯曲模与管材间隙值、弯曲模圆角半径值、管材弯曲变形区长度、导向机构圆角半径值、导向机构与管材间隙值作为影响因子。利用数值模拟方法对管材自由弯曲成形结果的评价指标和影响因子建立样本库,并随机选取6组作为测试样本,其余的作为训练样本,结合BP神经网络和鹈鹕优化算法对预测模型进行训练,构建POA-BP神经网络预测模型对管材自由弯曲成形结果进行预测。结果表明,POA-BP预测模型的壁厚减薄率和椭圆率的最大预测误差不超过2%,故POA-BP预测模型能够有效预测管材成形结果。

The wall thickness thinning rate and ellipticity are selected as evaluation criteria for the free bending forming results of the pipe.The influencing factors include the gap between the bending die and the pipe,the radius of the corner of the bending die,the length of the bending deformation zone of the pipe,the radius of the corner of the guide mechanism,and the gap between the guide mechanism and the pipe.A sample library for the evaluation criteria and influencing factors of free bending of pipes is established using numerical simulation method.Six random groups are selected as test samples,while the remaining samples are used for training.The POA-BP neural network prediction model is constructed by combining the BP neural network and the Pelican optimization algorithm to predict the free bending forming results of pipes.The results show that the maximum prediction error of the wall thickness reduction rate and ellipticity of the POA-BP prediction model does not exceed 2%.Therefore,the POA-BP prediction model can effectively predict the pipe forming results.