| 电阻点焊质量在线无损估测 |
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| 引用本文： | 余海燕,张惠斌.电阻点焊质量在线无损估测[J].电焊机,2006,36(9):19-21. |
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| 作者姓名： | 余海燕 张惠斌 |
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| 作者单位： | 吉林大学,吉林,长春,130022 |
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| 摘 要： | 采用动态电阻法建立了低碳钢电阻点焊熔核直径的人工神经网络模型，该模型为3层BP向前网络结构，通过大量正交试验训练获得其模型数据。将模型数据移植到C语言中，建立了熔核直径在线估测系统。该系统有望应用于实际生产的质量监控。
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| 关 键 词： | 人工神经网络 点焊 焊点直径 在线估测 |
| 文章编号： | 1001-2303(2006)09-0019-03 |
| 收稿时间： | 2006-03-20 |
| 修稿时间： | 2006年3月20日 |
Study on online and non-destructive quality estimation of resistance spot welding |
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| YU Hai-yan,ZHANG Hui-bin.Study on online and non-destructive quality estimation of resistance spot welding[J].Electric Welding Machine,2006,36(9):19-21. |
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| Authors: | YU Hai-yan ZHANG Hui-bin |
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| Affiliation: | Jilin University, Changchun 130022, China |
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| Abstract: | This paper proposes a three-layer BP neural network to estimate the quality of mild steel resistance spot welding(RSW) using dynamic resistance signatures first.We abtained a lot of input datas for the network based on a great deal of cross tests.After trained the neural network.We transplant the weight datas and region datas of the network to C language.Accordingly we propose a nugget diameter estimation system for resistance spot welding.We believe that this system will be applied to quality inspection and controlling of welding in the manufacture in the near future. |
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| Keywords: | artificial neural network resistance spot welding nugget of RSW estimation online |
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