【摘要】 温度场预测是实现铣刀片槽型设计与重构的关键技术,神经网络预测模型是实现温度场预测的新途径。针对铣刀片温度场的非稳态特性,提出了一种基于BP神经网络Levenberg-Marquardt算法的三维复杂槽型铣刀片温度场预测模型,避免了传统神经网络易陷入局部极小的缺点。预测结果表明,该模型收敛速度快,预测精度高。更多还原

【Abstract】 Prediction of temperature field is the key technique for realizing the design and reconstruction of grove pattern of milling insert,neural network prediction model is a new way for realizing the temperature field prediction.Aimed at the non-stable characteristics of temperature field of milling insert a kind of temperature field prediction model for 3D complex grove patterned milling insert was put forward based on Levenberg-Marquardt algorithm of BP neural network,and thus avoided shortcomings of easy to fall into partial extreme minimum in the traditional neural network.The result of prediction shows that this model has a speedy convergence and a prediction of high precision.更多还原