镁合金焊接接头深冷处理及其力学性能神经网络预测.doc

文档介绍：
镁合金焊接接头深冷处理及其力学性能神
经网络预测#
吴志生,弓晓园,赵菲,曾亮,杨栋*
5
10
(太原科技大学材料科学与工程学院,太原 030024)
摘要:根据前期的实验数据结果,选择了深冷 AZ31 镁合金 TIG 焊接头抗拉强度 BP 神经网
络预测的原始样本数据,包括训练样本数据和验证测试样本数据;采用最大最小型函数
premnmx 方法对训练样本的输入输出数据进行了归一化处理;对深冷 AZ31 镁合金 TIG 焊
接头抗拉强度进行了 BP 神经网络预测。结果表明,经过模拟训练的 AZ31B 镁合金 TIG 焊
接接头抗拉强度两层 BP 神经网络反映了接头强度与深冷处理温度、深冷时间之间的关系,
用 BP 神经网络预测深冷焊接接头抗拉强度可行。
关键词: 材料加工工程;深冷处理;力学性能;神经网络
中图分类号:TG4
15
Magnesium alloy welded joint cryogenic processing and
work prediction of mechanical properties
wuzhisheng, gongxiaoyuan, zhaofei, zengliang, yangdong
(Materials Science and Engineering academy, Taiyuan University of Science and
20
25
30
35
40
Technology,Taiyuan 030024)
Abstract: According to preliminary results of the experimental data, select the tensile strength of
cryogenic AZ31 magnesium alloy TIG welding joint's original sample data of the BP neural
network prediction, including training data and validation testing sample data; using the largest
and most small function--premnmx method to the input and output data of training samples were
normalized; cryogenic processed AZ31 magnesium alloy TIG welding joint's tensile strength
using BP work prediction. The results showed that after simulation training of AZ31B
magnesium alloy TIG welded joint's tensile strength of two BP work reflects the
relationship between joint strength and cryogenic treatment temperature/cryogenic tre