| 基于BP神经网络的DSS焊接应力和收缩变形预测研究 |
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| 引用本文： | 王正伦,王智祥,张鑫.基于BP神经网络的DSS焊接应力和收缩变形预测研究[J].重庆交通大学学报(自然科学版),2010,29(5). |
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| 作者姓名： | 王正伦 王智祥 张鑫 |
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| 作者单位： | 重庆交通大学,机电与汽车工程学院,重庆,400074;重庆交通大学,船舶工程中心,重庆,400074 |
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| 基金项目： | 重庆市科委重大科技攻关项目 |
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| 摘 要： | 针对川东造船厂化学品船建造中使用特种钢——2205双相不锈钢(DSS),在其焊接试验的基础上分别建立了双相不锈钢焊接应力和收缩变形的BP神经网络预测模型,并与多元线性回归方法进行比较,较好地模拟了焊接残余应力和变形与板厚、焊接电流、电弧电压、焊接速度等工艺参数之间的非线性关系。预测结果表明,BP神经网络比多元线性回归在预测精度和泛化能力上都有很大的提高。
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| 关 键 词： | 神经网络 双相不锈钢 焊接 残余应力 预测 |
Prediction of DSS Welding Stress and Shrinkage Deformation Based on BP Neural Network |
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| WANG Zheng-lun,WANG Zhi-xiang,ZHANG Xin.Prediction of DSS Welding Stress and Shrinkage Deformation Based on BP Neural Network[J].Journal of Chongqing Jiaotong University,2010,29(5). |
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| Authors: | WANG Zheng-lun WANG Zhi-xiang ZHANG Xin |
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| Institution: | WANG Zheng-lun1,WANG Zhi-xiang2,ZHANG Xin1 (1.School of Mechanical Electronics & Automotive Engineering,Chongqing Jiaotong University,Chongqing 400074,China,2.Vessel Engineering Center,China) |
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| Abstract: | With regard to the 2205 duplex stainless steel which is used for special shipbuilding in Chuandong Shipyard,BP neural network forecast models on welding residual stress and shrinkage deformation of 2205 duplex stainless steel(DSS) have been respectively established,on the basis of the welding experiment of 2205 duplex stainless steel.The proposed forecast model is compared with the multiple linear regression method.The comparison indicates that the proposed forecast model can better simulate the non-linear ... |
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| Keywords: | neural network duplex stainless steel welding residual stress forecast |
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