基于模糊神经网络的表面粗糙度建模研究

摘要

According to the complexity of part surface roughness, a predictive modeling method of the surface roughness based on fuzzy neural networks was proposed. The model of surface roughness for turning outer roundness of operations was built to demonstrate the predictive modeling of turning operational data and part surface roughness. Experimental results show that the proposed method is both effective and efficient for surface roughness predictive modeling.%根据零件表面粗糙度形成的复杂性,提出了一种基于模糊神经网络的表面粗糙度预测建模方法,并以外圆车削加工为例,建立了车削加工参数与工件表面粗糙度的预测模型.试验表明,所提出的模糊神经网络建模方法可对零件表面粗糙度进行有效预测.