| 基于人工神经网络的磨料水射流切割速度模型 |
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| 引用本文： | 杨林,彭中波,唐川林,张风华.基于人工神经网络的磨料水射流切割速度模型[J].农业机械学报,2005,36(5):117-120. |
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| 作者姓名： | 杨林 彭中波 唐川林 张风华 |
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| 作者单位： | 1. 重庆交通学院
2. 株洲工学院 |
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| 基金项目： | 国家自然科学基金资助项目(项目编号:50374087)，湖南省自然科学基金资助项目(项目编号:02JJY200)，湖南省教育厅基金资助项目(项目编号:02A055) |
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| 摘 要： | 磨料水射流切割的断面质量限制了，其应用。由于高速固液两相流本身的复杂性，很难建立一个有效的理论模型。基于人工神经网络理论，结合典型材料切割质量的实验结果，建立了磨料水射流切割速度的数值预测模型，给定切割工件、射流压力和切割质量后，该模型能快速、准确、可靠地预测切割速度。
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| 关 键 词： | 磨料水射流切割 断面质量 数学模型 人工神经网络 切割速度 |
| 修稿时间： | 2003年11月17 |
Numerical Model of Abrasive Water Jet Cutting Speed Based on Artificial Neural Network |
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| Yang Lin,Peng Zhongbo,Tang Chuanlin,ZHANG Fenghua.Numerical Model of Abrasive Water Jet Cutting Speed Based on Artificial Neural Network[J].Transactions of the Chinese Society of Agricultural Machinery,2005,36(5):117-120. |
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| Authors: | Yang Lin Peng Zhongbo Tang Chuanlin ZHANG Fenghua |
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| Institution: | 1.Chongqing Jiaotong University 2.Zhuzhou Institute of Technology |
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| Abstract: | The major problem in applications of the abrasive water jet (AWJ) cutting techno logy is the deficiencies in its cutting surface finish. Due to the complexity of the high-speed liquid-solid flow, it is difficult to establish an effective t heoretical model for AWJ cutting process. Artificial neural network (ANN) was ad opted to develop a numerical prediction model of AWJ cutting speed based on the experimental results of cutting quality for several typical engineering material s. The model was proved to be satisfactory for prediction of AWJ cutting speed a t a set of input parameters, such as material, water pressure, desired cutting quali ty, and so on. |
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| Keywords: | Abrasive water jet cutting Surface quality M athematical models Artificial neural network |
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