| 基于人工神经网络的电火花加工工艺建模方法研究 |
| |
| 引用本文： | 杨浩泉,周平.基于人工神经网络的电火花加工工艺建模方法研究[J].机械设计与制造,2010(1). |
| |
| 作者姓名： | 杨浩泉 周平 |
| |
| 作者单位： | 上海第二工业大学,机电工程学院,上海,201209 |
| |
| 基金项目： | 上海市教育委员会科研资助项目(06RZ005) |
| |
| 摘 要： | 电火花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。用神经网络技术以铜加工SKD-Ⅱ为例建立了电火花加工工艺模型,并依据工艺样本中各参数数据的不同特点采用了不同的预处理方法,测试表明效果较好,所建模型能精确地预测出给定条件下的加工工艺参数,反映了该机床的加工工艺规律。另外,采用石墨加工SKD-Ⅱ工艺数据验证了该方法的通用性及有效性。
|
| 关 键 词： | 电火花加工 BP神经网络 工艺参数 预测模型 数据预处理 |
Artificial neural network model of EDM process |
| |
| YANG Hao-quan,ZHOU Ping.Artificial neural network model of EDM process[J].Machinery Design & Manufacture,2010(1). |
| |
| Authors: | YANG Hao-quan ZHOU Ping |
| |
| Affiliation: | School of Mechanical and Electrical Engineering/a>;Shanghai Second Polytechnic University/a>;Shanghai 201209/a>;China |
| |
| Abstract: | EDM is a complicated and random process influenced by many parameters.Thus it is more difficult to establish an appropriate forecasting model for EDM process.It an artificial neural network model is established to correlate the process effect and the main technological parameters.An improved algorithm in Neural Network(NN) data pretreatment was presented.By testing,the data pretreatment method is better than before. |
| |
| Keywords: | EDM Improved BP NN Technological parameter Forecasting model Data pretreatment |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
