| 基于人工神经网络模型的钛合金YAG激光焊接工艺参数优化 |
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| 引用本文： | 熊建钢,张伟,胡乾午,李志远,段爱琴.基于人工神经网络模型的钛合金YAG激光焊接工艺参数优化[J].应用激光,2001,21(4):243-246. |
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| 作者姓名： | 熊建钢 张伟 胡乾午 李志远 段爱琴 |
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| 作者单位： | 1. 华中科技大学材料科学与工程学院，武汉430074
2. 高能束流加工技术重点实验室，北京100024 |
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| 基金项目： | 高能束流加工技术重点实验室基金资助 |
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| 摘 要： | 建立了基于人工神经网络(ANN)的钛合金YAG激光焊接工艺参数优化模型.以大功率YAG激光焊接工艺及结果对模型进行学习训练,结果表明所建ANN模型具有较好的自学习和预测能力.ANN模型可以根据工艺参数准确地预测焊缝形状;或根据焊缝形状要求,选择激光焊接工艺参数.
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| 关 键 词： | 人工神经网络 YAG激光焊 钛合金(Ti-6Al-4V) |
| 修稿时间： | 2001年2月9日 |
Optimizing of Welding Parameters of YAG Laser Welding Titanium Alloy Based on Artificial Neural Networks |
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| Xiong Jiangang,Zhang Wei,Hu Qianwu,Li Zhiyuan.Optimizing of Welding Parameters of YAG Laser Welding Titanium Alloy Based on Artificial Neural Networks[J].Applied Laser,2001,21(4):243-246. |
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| Authors: | Xiong Jiangang Zhang Wei Hu Qianwu Li Zhiyuan |
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| Abstract: | The study for optimizing of the welding parameters of YAG laser welding Titanium alloy based on artificial neural networks(ANN) was presented. The ANN model was trained with actual samples obtained from high power YAG laser welding Titanium alloy. The simulation results indicated that the ANN model has strong abilities in selflearning and predicting. The model not only possesses the ability to estimate the laser weld shape by the parameters,but also can select suitable welding parameters according to variously demanded. |
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| Keywords: | artificial neural network YAG laser welding titanium alloy(Ti6Al4V) |
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