| 基于人工神经网络的锌基合金熔化焊HAZ摩擦学性能预测 |
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| 引用本文： | 涂益民,张柯柯. 基于人工神经网络的锌基合金熔化焊HAZ摩擦学性能预测[J]. 兰州理工大学学报, 2005, 31(2): 21-23 |
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| 作者姓名： | 涂益民 张柯柯 |
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| 作者单位： | 河南科技大学,材料科学与工程学院,河南,洛阳,471003;河南科技大学,材料科学与工程学院,河南,洛阳,471003 |
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| 基金项目： | 河南省自然科学基金(964041600) |
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| 摘 要： | 为建立锌基合金焊补修复后的焊接区性能与其磨损工况关系，以ZA12合金熔化焊热影响区(HAZ)组织模拟试样的磨损试验数据为样本，采用径向基函数网络，建立由ZA12合金HAZ磨损工况条件与其摩擦学性能的人工神经网络模型。试验结果表明，训练出的网络模型具有收敛快、精度高等优点，完全可用于锌基合金熔化焊HAZ摩擦学性能预测．
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| 关 键 词： | 锌基合金 人工神经网络 热影响区 摩擦学性能 |
| 文章编号： | 1000-5889(2005)02-0021-03 |
| 修稿时间： | 2004-07-13 |
Prediction of HAZ tribological properties of fusion welded zinc-based alloy by means of artificial neural network |
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| TU Yi-min,ZHANG Ke-ke. Prediction of HAZ tribological properties of fusion welded zinc-based alloy by means of artificial neural network[J]. Journal of Lanzhou University of Technology, 2005, 31(2): 21-23 |
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| Authors: | TU Yi-min ZHANG Ke-ke |
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| Abstract: | In order to establish the relationship of welding zone properties of zinc-based alloy being repaired by welding to its wearing work condition,the wearing test data of microstructure stimulation specimens in heat affected zone (HAZ) of fusion welded ZA12 alloy was taken as a sample,then an artificial neural network (ANN) model of HAZ wearing operating mode and its tribological properties was established for alloy ZA12 by adopting the network of radial basis function.The experimental result shows that the trained ANN model has merits of quick convergence speed and high precision,and it can completely be used in predicting the HAZ tribological properties of zinc-based alloy. |
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| Keywords: | zinc-based alloy artificial neural network heat affected zone tribological properties |
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