| 基于人工神经网络的磨料水射流切割加工模型 |
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| 引用本文： | 杨林,唐川林,张凤华,雷玉勇.基于人工神经网络的磨料水射流切割加工模型[J].机械科学与技术(西安),2004,23(2):218-220. |
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| 作者姓名： | 杨林 唐川林 张凤华 雷玉勇 |
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| 作者单位： | 株洲工学院 株洲412008
(杨林，唐川林，张凤华)，四川工业学院 成都610039(雷玉勇) |
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| 基金项目： | 国家自然科学基金 (5 0 3 740 8)，湖南省自然科学基金(0 2JJY2 0 0 1) |
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| 摘 要： | 作为一种冷态加工新工艺 ,磨料水射流 (AWJ)以其独特的优点得到广泛应用 ,但由于高速液固两相流本身的特性 ,AWJ切割加工是一个受多参数影响的复杂随机过程 ,很难建立一个适当的机理模型。基于人工神经网络理论 ,本文建立了切割厚度与主要工艺参数间的AWJ切割加工预测模型 ,模型预测结果与实验值及Zeng的经验模型进行了比较 ,该网络模型能可靠、准确地映射出AWJ的加工规律 ,可应用于AWJ切割加工过程的参数优化选择、加工规律计算机仿真及智能化控制中。
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| 关 键 词： | 磨料射流 切割 模型 人工神经网络 |
| 文章编号： | 1003-8728(2004)02-0218-03 |
Artificial Neural Network Model of Abrasive Wateriet Cutting Process |
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| YANG Lin ,TANG Chuan-lin ,ZHANG Feng-hua ,LEI Yu-yong.Artificial Neural Network Model of Abrasive Wateriet Cutting Process[J].Mechanical Science and Technology,2004,23(2):218-220. |
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| Authors: | YANG Lin TANG Chuan-lin ZHANG Feng-hua LEI Yu-yong |
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| Affiliation: | YANG Lin 1,TANG Chuan-lin 1,ZHANG Feng-hua 1,LEI Yu-yong 2 |
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| Abstract: | As a new-type of coldworkingtool, abrasive waterjet (AWJ)has been widely used for its considerable advantages over traditional techniques. However, AWJ cutting is a complicatedand randomprocessinfluenced by many parameters for the particular properties of the high speed liquid-solid two-phase flow, thus it is more difficult to establish an appropriate forecasting model for AWJ cutting process. In the present paper, an artificial neural network system is established to correlate the cutting depth with the main cutting parameters. The results are compared with experimental data and Zeng' s empirical model, it can reflectthe rules of AWJ system reliablyandaccurately, and can be applied to parametric optimizing,computer simulatingand intelligentcontrol of AWJ cutting process. |
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| Keywords: | AWJ Cutting Modeling ANN(Artificial Neural Network) |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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