NAME Mekanizazio-prozesuan ebaketa-baldintzen optimizazioa
Mekanizazio-prozesuetan ebaketa-baldintzen optimizazioa Reinforcement Learning (RL) algoritmoen bidez, mekanizazio-prozesuaren errendimendua hobetzeko estrategia gisa, hainbat parametro dinamikoki egokituz, hala nola ebaketa-abiadura, ebaketa-sakonera, aitzinamendua eta ebaketa-indarra. Helburu nagusia prozesuaren eraginkortasuna maximizatzea, erreminten higadura minimizatzea eta pieza mekanizatuen kalitatea hobetzea da, kostuak eta energia-kontsumoak murrizten diren bitartean.
FIELDS OF APPLICATION
Data
Deployment and Application
Developments
Infrastructure and Computing
MOST OUTSTANDING EQUIPMENT AND COMPONENTS
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Machining equipment
Equipment for machining parts and experimentation with different cutting parameters.
SERVICES OFFERED BY THE ASSET
Optimization of cutting algorithms
Optimization of cutting algorithms according to the specifications of each application case
ENTITY MANAGING THE ASSET
Contact person:
Urko Zurutuza Ortega
uzurutuza@mondragon.edu