(1.浙江大学热能工程研究所,杭州 310027;
2.东北大学， 沈阳 110006)
摘 要: 在前人试验研究工作的基础上，利用人工神经网络法对大直径浆体输送管道的淤积临界流速进行了拟合和预测。结果表明，预测淤积临界流速与实测淤积临界流速基本一致，利用人工神经网络法研究浆体管道输送问题是可行的；同其他淤积临界速度的公式相比，所建立的网络模型精度高。
关键字: 神经网络 浆体输送 淤积临界流速
（1.Institute for Thermal Power Engineering, Zhejiang University, Hangzhou 310027
2.Northeastern University, Shenyang 110006）
Abstract:Based on the previous experimental works, critical deposition velocity in large pipe has been fitted and predicated by artificial neural network. The results show that the predicated velocities are in agreement with measured ones; Study on slurry transportation in pipe by artificial neural network is practical and the established model is higher in precision compared with the other formulas of critical deposition velocity.
Key words: neural network slurry transportation critical deposition velocity
