Research on the Relationship between the Anchor Pattern Characteristics and Adhesion Based on Neural Network

Abstract

The anchor characteristics are important factors in the quality of surface treatment of the tube, a good anchor pattern characteristic will ensure the best adhesion between the coating and the substrate. Surface roughness, micro-roughness spacing of anchor pattern and anchor pattern depth are main factors composed of anchor pattern characteristics. Adhesion prediction model was constructed using the BP artificial neural network , according to the relationships between the adhesion and various factors , which not only can achieve nonlinear relationships with high prediction accuracy between the anchor characteristic and adhesion, but also shorten the test time and reduce testing costs.