| 人工神经网络在钛合金领域的应用 |
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| 引用本文： | 孙宇,曾卫东,赵永庆,周义刚. 人工神经网络在钛合金领域的应用[J]. 热加工工艺, 2010, 39(6) |
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| 作者姓名： | 孙宇 曾卫东 赵永庆 周义刚 |
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| 作者单位： | 1. 西北工业大学,材料学院凝固技术国家重点实验室,陕西,西安,710072
2. 西北有色金属研究院,陕西,西安,710016 |
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| 基金项目： | 国家"973"计划，新世纪优秀人才支持计划，凝固技术国家重点实验室开放课题 |
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| 摘 要： | 概括了人工神经网络的学习机理以及运用较多的BP神经网络模型的BP算法原理,进一步综述了人工神经网络在钛合金材料高温变形行为研究、力学性能预测和相变规律等方面的应用情况。认为将人工神经网络技术应用于钛合金材料领域中,可以明显地提高工艺设计效率,缩短实验周期,对钛合金材料的研究具有很高的应用价值和深远的指导意义。
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| 关 键 词： | 人工神经网络 钛合金 高温变形 相变规律 |
Application of Artificial Neural Network Model in Titanium Alloys |
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| SUN Yu,ZENG Weidong,ZHAO Yongqing,ZHOU Yigang. Application of Artificial Neural Network Model in Titanium Alloys[J]. Hot Working Technology, 2010, 39(6) |
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| Authors: | SUN Yu ZENG Weidong ZHAO Yongqing ZHOU Yigang |
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| Affiliation: | SUN Yu1,ZENG Weidong1,ZHAO Yongqing2,ZHOU Yigang1 (1. State Key Laboratory of Solidification Processing,Northwestern Polytechnical University,Xi'an 710072,China,2. Northwest Institute for Nonferrous Metal Research,Xi'an 710016,China) |
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| Abstract: | The learning mechanism of artificial neural network(ANN) and BP algorithm of BP neural network model were summarized,and the application of the network in some aspects of high temperature deformation behavior,mechanical properties and phase transformation were discussed. It is believed that with the help of wide application of ANN in the field of titanium alloy,the efficiency and cycle of the experiment can be obviously improved,which has far-reaching significance for the study of titanium alloys. |
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| Keywords: | artificial neural network titanium alloy high temperature deformation phase transformation |
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