航空制造数控加工表面粗糙度预测研究

Research on Prediction of Surface Roughness in NC Machining of Aircraft Manufacturing

航空制造复杂工件的比例越来越高,对表面粗糙度指标的要求也越来越高,针对如何提高表面粗糙度指标,采用自适应神经模糊算法对表面粗糙度进行预测,经过实际验证,本算法具有较高的准确性和鲁棒性。

The proportion of aircraft manufacturing complex workpiece is higher and higher, so is the requirement for surface roughness index. This paper aims at improving surface roughness index, adopts adaptive neural fuzzy algorithm to predict the surface roughness. Through practical verification, the algorithm has high accuracy and robustness.