| 用人工神经网络法研究管道中浆体摩阻损失 |
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| 引用本文： | 韩旭 张奇志. 用人工神经网络法研究管道中浆体摩阻损失[J]. 矿冶工程, 1997, 17(1): 5-8 |
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| 作者姓名： | 韩旭 张奇志 |
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| 作者单位： | 东北大学机械工程学院 |
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| 摘 要： | 对铜铅锌铁尾矿、粉煤灰和氧化铝工业赤泥三种浆体的摩阻损失进行了试验研究。在试验研究结果和前人工作基础上，利用人工神经网络法对管道内浆体摩阻损失进行拟合和预测。结果表明，预测浆体摩阻损失与实测浆体摩阻损失相吻合。
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| 关 键 词： | 摩阻损失 浆体输送 神经网络 |
STUDY ON FRICTIONAL LOSS OF SLURRY IN PIPE BY ARCTIFICIAL NEURAL NETWORK |
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| Han Xu Zhang Qizhi Tong Qingli. STUDY ON FRICTIONAL LOSS OF SLURRY IN PIPE BY ARCTIFICIAL NEURAL NETWORK[J]. Mining and Metallurgical Engineering, 1997, 17(1): 5-8 |
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| Authors: | Han Xu Zhang Qizhi Tong Qingli |
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| Abstract: | Experimental study is made for the frictional loss of three kinds of slurries, such as copper lead zin iron tailings, coal ash and so on. Based on experimental results and previous works, frictional loss of slurry in pipe has been simulated and predicated by artificial neural network. The results show that the predicted frictional losses are in agreement with measured ones. |
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| Keywords: | Frictional loss Slurry transportation Neural network |
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