| 基于BP神经网络的超细石英粉体制备工艺参数研究 |
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| 引用本文： | 周岩,金远强,杨立见,张广玉.基于BP神经网络的超细石英粉体制备工艺参数研究[J].材料科学与工艺,2007,15(1):55-58,63. |
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| 作者姓名： | 周岩 金远强 杨立见 张广玉 |
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| 作者单位： | 哈尔滨工业大学,机电学院,黑龙江,哈尔滨150001 |
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| 摘 要： | 简要分析了工艺参数对高能球磨法制备超细石英粉体的影响,采用正交试验和均匀实验研究了球磨法制备超细石英粉体的具体工艺试验方法,应用人工神经网络技术建立了粉体参数预测模型,利用遗传算法的全局搜索能力,优化了BP网络权值,从而完善了基于BP网络的石英粉体粒径预测模型.试验结果表明:该模型具有较高的精度,较好地实现了球磨法制备石英粉体的粒径预测,为工艺参数选择提供理论依据.
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| 关 键 词： | 超细石英粉体 高能球磨法 工艺参数 试验方法 BP神经网络 |
| 文章编号： | 1005-0299（2007）01-0055-04 |
| 修稿时间： | 2006-01-15 |
Research of the technological parameters of manufacturing superfine quartz powder based on GA-BP neural network |
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| ZHOU Yan,JIN Yuan-qiang,YANG Li-jian,ZHANG Guang-yu.Research of the technological parameters of manufacturing superfine quartz powder based on GA-BP neural network[J].Materials Science and Technology,2007,15(1):55-58,63. |
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| Authors: | ZHOU Yan JIN Yuan-qiang YANG Li-jian ZHANG Guang-yu |
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| Affiliation: | School of Mechatronic Engineering, Harbin Institute of Technology, Harbin 150001, China |
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| Abstract: | The paper analyzes the effect of technological parameters on manufacturing superfine quartz powder body by the method of high-energy ball, and studies the detail test methods based on the orthogonal experimental design and the uniformity experimental design. The paper applies the artificial neural network technology to establish the prediction model of the quartz powder body particle diameter, and optimizes the weight of BP neural network model by using the global search capability of Genetic Algorithm, and advances the prediction model of superfine quartz powder particle diameter. The experimental results show that the model is precise to predict the particle diameter. The technology will provide the theoretic guidance for further studying the technology parameters of manufacturing superfine quartz powder body. |
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| Keywords: | superfine quartz powder high-energy ball mill technology parameters test method BP neural network |
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