{"id":8378,"date":"2025-08-01T15:12:56","date_gmt":"2025-08-01T15:12:56","guid":{"rendered":"https:\/\/bdih.spri.eus\/mekanizazio-prozesuan-ebaketa-baldintzen-optimizazioa\/"},"modified":"2026-05-26T05:05:18","modified_gmt":"2026-05-26T05:05:18","slug":"optimizing-cutting-conditions-in-the-machining-process","status":"publish","type":"post","link":"https:\/\/bdih.spri.eus\/en\/optimizing-cutting-conditions-in-the-machining-process\/","title":{"rendered":"Mekanizazio-prozesuan ebaketa-baldintzen optimizazioa"},"content":{"rendered":"<p>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.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>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.<\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-8378","post","type-post","status-publish","format-standard","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Mekanizazio-prozesuan ebaketa-baldintzen optimizazioa - BDIH<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/bdih.spri.eus\/en\/optimizing-cutting-conditions-in-the-machining-process\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Mekanizazio-prozesuan ebaketa-baldintzen optimizazioa - BDIH\" \/>\n<meta property=\"og:description\" content=\"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. 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