Machine learning models-based optimization of burnishing operationin terms of power efficiency and surface properties
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
Published online on November 14, 2025
Abstract
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Ahead of Print.
In the current work, process parameters of the roller burnishing process, including the spindle speed (S), feed rate (f), depth of penetration (D), and flow rate of lubricant (Q) are optimized to maximize the power efficiency (PE) as well as micro-...
In the current work, process parameters of the roller burnishing process, including the spindle speed (S), feed rate (f), depth of penetration (D), and flow rate of lubricant (Q) are optimized to maximize the power efficiency (PE) as well as micro-...