| 基于神经网络的数控铣削参数工艺效果预测 |
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| 引用本文： | 姚艳,蔡安江,杨晓刚. 基于神经网络的数控铣削参数工艺效果预测[J]. 矿山机械, 2011, 0(3) |
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| 作者姓名： | 姚艳 蔡安江 杨晓刚 |
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| 作者单位： | 西安建筑科技大学机电工程学院;西安全路通号器材研究所; |
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| 基金项目： | 陕西省科学技术研究发展计划项目(2010K09-05); 西安市科技计划项目(CXY1010-5) |
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| 摘 要： | 针对数控铣削加工工艺的复杂性,以DMC60H为平台,以壳体类铝合金零件加工工艺数据为对象,提出了基于神经网络的数控铣削参数工艺效果预测方案。预测结果表明,所建立的工艺效果预测模型能够比较精确地预测出给定加工参数下的加工时间、尺寸精度和表面粗糙度,实现了数控铣削参数的合理选取,充分发挥了机床效能,提高了产品质量和生产效率,为生产实践提供了理论依据。
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| 关 键 词： | 数控铣削 工艺效果 神经网络 预测模型 |
Prediction of technological effects of CNC milling parameters based on neural network |
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| YAO Yan,CAI Anjiang,YANG Xiaogang chool of Mechanical,Electrical Engineering,Xi'an University of Architecture,Technology,Xi'an ,Shaanxi,China Xi'an Railway Signal Research Institute. Prediction of technological effects of CNC milling parameters based on neural network[J]. Mining & Processing Equipment, 2011, 0(3) |
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| Authors: | YAO Yan CAI Anjiang YANG Xiaogang chool of Mechanical&Electrical Engineering Xi'an University of Architecture&Technology Xi'an Shaanxi China Xi'an Railway Signal Research Institute |
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| Affiliation: | YAO Yan1,CAI Anjiang1,YANG Xiaogang2 1 chool of Mechanical&Electrical Engineering,Xi'an University of Architecture&Technology,Xi'an 710055,Shaanxi,China 2Xi'an Railway Signal Research Institute |
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| Abstract: | In view of the complexity of CNC Milling machining technology,taking technological data of alu-minum alloy made case-shaped parts as the object,a scheme of predicting technological effects of CNC Milling parameters is proposed based on DMC60H.The prediction results show that the built model accurately predicts the machining duration,dimensional precision and surface roughness with given machining parameters.Thus,the reasonable selection of CNC milling parameters is achieved,effectiveness of the machine tool... |
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| Keywords: | CNC milling technological effect neural network prediction model |
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