| 基于RBF神经网络的难加工材料高速铣削力预报研究 |
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| 引用本文： | 李占杰 田美丽. 基于RBF神经网络的难加工材料高速铣削力预报研究[J]. 试验技术与试验机, 2007, 47(1): 22-24,28 |
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| 作者姓名： | 李占杰 田美丽 |
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| 作者单位： | 天津工程师范学院,天津300222 |
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| 基金项目： | 难加工材料高速切削关键技术研究（No.20041108） |
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| 摘 要： | 切削力的预报是切削加工的重要研究方向。本文运用RBF神经网络建立了铣削力预测模型，将预报结果与试验真值以及由回归分析的处理结果进行对比验证，结果表明此方法可行，为切削参数优化和数据库研制提供了依据。
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| 关 键 词： | 难加工材料 高速铣削 神经网络 预报 |
| 修稿时间： | 2007-02-12 |
Prediction of Cutting forces of Difficult-to-cut Material by HSM Based on RBF Neural Network |
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| Li Zhanjie, Tian Meili. Prediction of Cutting forces of Difficult-to-cut Material by HSM Based on RBF Neural Network[J]. Test Technology and Testing Machine, 2007, 47(1): 22-24,28 |
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| Authors: | Li Zhanjie Tian Meili |
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| Affiliation: | Tianjin University of Technology and Education, Tianjin 300222 |
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| Abstract: | Prediction of cutting force has become an important aspect in HSM. In this paper, RBF neural network is used to predict cutting forces. Compared with measured data and data from regression analysis, the result of prediction using RBFneural network indicates its feasibility, which provides reference for optimization of cutting parameters and development of database. |
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| Keywords: | difficult-to-cut material HSM neural network prediction |
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