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Establishment of constitutive relationship model for 2519 aluminum alloy based on BP artificial neural network 被引量:8

Establishment of constitutive relationship model for 2519 aluminum alloy based on BP artificial neural network
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摘要 An isothermal compressive experiment using Gleeble 1500 thermal simulator was studied to acquire flow stress at different deformation temperatures, strains and strain rates. The artificial neural networks with the error back propagation(BP) algorithm was used to establish constitutive model of 2519 aluminum alloy based on the experiment data. The model results show that the systematical error is small(δ=3.3%) when the value of objective function is 0.2, the number of nodes in the hidden layer is 5 and the learning rate is 0.1. Flow stresses of the material under various thermodynamic conditions are predicted by the neural network model, and the predicted results correspond with the experimental results. A knowledge-based constitutive relation model is developed. An isothermal compressive experiment using Gleeble 1500 thermal simulator was studied to acquire flow stress at different deformation temperatures, strains and strain rates. The artificial neural networks with the error back propagation(BP) algorithm was used to establish constitutive model of 2519 aluminum alloy based on the experiment data. The model results show that the systematical error is small(δ=3.3%) when the value of objective function is 0.2, the number of nodes in the hidden layer is 5 and the learning rate is 0.1. Flow stresses of the material under various thermodynamic conditions are predicted by the neural network model, and the predicted results correspond with the experimental results. A knowledge-based constitutive relation model is developed.
出处 《Journal of Central South University of Technology》 EI 2005年第4期380-384,共5页 中南工业大学学报(英文版)
基金 Project(035)supportedbytheStateKeyLabforPlasticFormingSimulationandDieTechnique
关键词 2519 aluminum alloy BP algorithm neural network constitutive model 铝合金 人工神经网络 运算法则 人工智能 关系模型
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