论文部分内容阅读
针对电火花加工的工艺特点及其复杂性 ,提出了一个基于神经网络的型腔电火花加工工艺效果的预测模型 ,可映射出电参数和加工结果之间的关系。计算机仿真结果显示了其良好的预测精度 ,最后分析了引起预测误差的原因
Aiming at the process characteristics and complexity of EDM, a prediction model of cavity EDM process based on neural network is proposed, and the relationship between electrical parameters and machining results can be mapped. Computer simulation results show its good prediction accuracy, the final analysis of the causes of the prediction error