Deep learning‐based methods for detecting defects in cast iron parts and surfaces

• Published in: IET image processing Vol. 18; no. 1; pp. 47 - 58
• Main Authors: Wang, Pengyu, Jing, Peng
• Format: Journal Article
• Language: English
• Published: Wiley 01.01.2024
• Subjects: convolutional neural nets; deburring; image fusion; learning (artificial intelligence)

The large size tolerance and positional differences of burrs in cast iron blanks make it easy for traditional teaching polishing paths to cause overcutting or undercutting. Rapid and accurate identification of burrs and real‐time correction of polishing trajectories are key technical issues for achi...