Surface roughness prediction by combining static and dynamic features in cylindrical traverse grinding

• Published in: International journal of advanced manufacturing technology Vol. 75; no. 5-8; pp. 1245 - 1252
• Main Author: Guo, Jianliang
• Format: Journal Article
• Language: English
• Published: London Springer London 01.11.2014; Springer Nature B.V
• Subjects: CAE) and Design; Computer-Aided Engineering (CAD; Cylindrical grinding; Engineering; Grinding; Industrial and Production Engineering; Kernel functions; Machine learning; Mathematical models; Mechanical Engineering; Media Management; Original Article; Parameters; Predictions; Random vibration; Surface roughness; Traverse grinding; Workpieces; Surface roughness; Grinding; Relevance vector machine; Prediction

With a given grinding system, surface roughness of the ground workpiece depends mainly on the settable grinding parameters and is also inevitably influenced by some random factors during grinding. Based on the relevance vector machine, which can effectively avoid over-fitting and can also present a...