针对激光切割加工工艺过程的复杂性、系统的非线性、以及加工参数变化而引起的时变性, 如何确定合适的工艺参数以得到良好的切割质量就显得极其重要。针对激光切割多种因素相关的非线性特点, 建立了人工神经网络模型, 并对激光切割工艺数据进行拟合, 从而实现切割质量的预测和优化工艺参数的选取, 用以指导实际切割过程。

Aiming at the complexity of technological process, the nonlinearity of the systems and time variable induced by the processing parameters during laser cutting process, how to determine the appropriate process parameters to achieve a perfect cutting quality is becoming extremely important. Based on non-linear characteristics of laser cutting with multi-factors, we establish a artificial neural network model and match the data on laser cutting process, so as to predict cutting quality and optimize process parameters to guide actual cutting process.