基于SVR的2519铝合金流变应力预测

Flow Stress Prediction of 2519 Aluminum Alloy Based on SVR

为了预测不同因素影响下2519铝合金流变应力,根据实测数据集,应用支持向量回归(SVR)方法,建立了支持向量回归预测模型。支持向量回归预测模型以2519铝合金应变和应变速率为输入变量,以2519铝合金流变应力为输出变量进行预测。预测结果表明:支持向量回归预测模型有较高的预测精度,可用于预测不同的应变和应变速率影响下的2519铝合金流变应力。

In order to forecast the 2519 aluminum alloy flow stress influenced by different factors, based on the data getting from the experiment, they use the support vector regression（SVR） approach to establish a support vector regression prediction model, which takes equivalent deformation degree and strain rate as input parameters, and 2519 aluminum alloy flow stress as output parameters. The prediction results show that the support vector regression forecasting model has high prediction accuracy and can be used to predict the flow stress of2519 aluminum alloy under different strain and strain rate.