Machine learning-enhanced process optimization for exit burr minimization in inclined micro dimple milling: A multi-model ensemble approach with uncertainty quantification
Published online on November 20, 2025
Abstract
Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, Ahead of Print.
Unwanted material edges or burrs seriously reduce the quality of tiny surface dimples in automotive and aerospace parts. This study creates a computer-based system to optimize angled micro dimple machining by combining several prediction methods that ...
Unwanted material edges or burrs seriously reduce the quality of tiny surface dimples in automotive and aerospace parts. This study creates a computer-based system to optimize angled micro dimple machining by combining several prediction methods that ...