NAME
Optimizing cutting conditions in the machining process
DESCRIPTION
Optimization of cutting conditions in machining processes using Reinforcement Learning (RL) algorithms as a strategy to improve machining performance through the dynamic adaptation of parameters such as cutting speed, depth of cut, feed rate, and cutting force. The main objective is to maximize process efficiency, minimize tool wear, and improve the quality of machined parts, all while reducing costs and energy consumption.
MOST OUTSTANDING EQUIPMENT AND COMPONENTS
Machining equipmentEquipment for machining parts and experimentation with different cutting parameters.
SERVICES OFFERED BY THE ASSET
Optimization of cutting algorithms
ENTITY MANAGING THE ASSET
Mondragón Goi Eskola Politeknikoa JMA SCoop
Contact person: Urko Zurutuza Ortega
