{"id":55232,"date":"2025-03-31T09:17:11","date_gmt":"2025-03-31T07:17:11","guid":{"rendered":"https:\/\/www.nae.fr\/2025\/03\/31\/loptimisation-des-procedes-dimpression-3d-metal-grace-a-lapprentissage-automatique\/"},"modified":"2025-03-31T09:17:11","modified_gmt":"2025-03-31T07:17:11","slug":"loptimisation-des-procedes-dimpression-3d-metal-grace-a-lapprentissage-automatique","status":"publish","type":"post","link":"https:\/\/www.nae.fr\/en\/2025\/03\/31\/loptimisation-des-procedes-dimpression-3d-metal-grace-a-lapprentissage-automatique\/","title":{"rendered":"L\u2019optimisation des proc\u00e9d\u00e9s d\u2019impression 3D m\u00e9tal gr\u00e2ce \u00e0 l\u2019apprentissage automatique"},"content":{"rendered":"<blockquote>\n<div class=\"info-article\">\n<div class=\"title-hat pl-0\">\n<div class=\"info-article\">\n<div class=\"title-hat pl-0\">\n<div class=\"info-article\">\n<div class=\"title-hat pl-0\">\n<div class=\"info-article\">\n<div class=\"title-hat pl-0\">\n\nUne \u00e9quipe de l\u2019Universit\u00e9 d\u2019ing\u00e9nierie de Toronto, men\u00e9e par le professeur Yu Zou, explore l\u2019utilisation de l\u2019apprentissage automatique (AA) pour perfectionner les proc\u00e9d\u00e9s d\u2019impression 3D, en particulier dans le domaine de l\u2019impression 3D m\u00e9tal, qui trouve des applications dans des industries vari\u00e9es telles que l\u2019automobile, l\u2019a\u00e9rospatiale et le nucl\u00e9aire. L\u2019apprentissage automatique, une discipline relevant de l\u2019intelligence artificielle, consiste \u00e0 utiliser des algorithmes pour analyser des donn\u00e9es complexes, d\u00e9tecter des motifs et faire des pr\u00e9visions.\n\nDans un r\u00e9cent article paru dans la revue\u00a0<em>Additive Manufacturing<\/em>, les chercheurs d\u00e9voilent un cadre innovant qu\u2019ils ont nomm\u00e9\u00a0<em>\u00ab Accurate Inverse Process Optimization Framework in Laser Directed Energy Deposition (AIDED) \u00bb.<\/em>\u00a0Ce syst\u00e8me serait con\u00e7u pour affiner le processus d\u2019impression 3D, afin de renforcer la pr\u00e9cision et la fiabilit\u00e9 des objets produits. Mais en quoi consiste pr\u00e9cis\u00e9ment cette m\u00e9thode ?\n\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/blockquote>\nPour en savoir plus : <a href=\"https:\/\/www.3dnatives.com\/optimisation-impression-3d-metal-apprentissage-automatique-26032025\/#!\" target=\"_blank\" rel=\"noopener\">L\u2019optimisation des proc\u00e9d\u00e9s d\u2019impression 3D m\u00e9tal gr\u00e2ce \u00e0 l\u2019apprentissage automatique<\/a>","protected":false},"excerpt":{"rendered":"<p>Une \u00e9quipe de l\u2019Universit\u00e9 d\u2019ing\u00e9nierie de Toronto, men\u00e9e par le professeur Yu Zou, explore l\u2019utilisation de l\u2019apprentissage automatique (AA) pour perfectionner les proc\u00e9d\u00e9s d\u2019impression 3D, en particulier dans le domaine de l\u2019impression 3D m\u00e9tal, qui trouve des applications dans des industries vari\u00e9es telles que l\u2019automobile, l\u2019a\u00e9rospatiale et le nucl\u00e9aire. L\u2019apprentissage automatique, une discipline relevant de [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":55233,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[34,59,16],"tags":[35,43,32,41],"class_list":["post-55232","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-innovation-et-technologique","category-intelligence-artificielle","category-rti","tag-actualites","tag-allegement-et-performances-des-structures","tag-fabrication-additive","tag-intelligence-artificielle"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>L\u2019optimisation des proc\u00e9d\u00e9s d\u2019impression 3D m\u00e9tal gr\u00e2ce \u00e0 l\u2019apprentissage automatique | Ton Site<\/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:\/\/www.nae.fr\/en\/2025\/03\/31\/loptimisation-des-procedes-dimpression-3d-metal-grace-a-lapprentissage-automatique\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"L\u2019optimisation des proc\u00e9d\u00e9s d\u2019impression 3D m\u00e9tal gr\u00e2ce \u00e0 l\u2019apprentissage automatique | Ton Site\" \/>\n<meta property=\"og:description\" content=\"Une \u00e9quipe de l\u2019Universit\u00e9 d\u2019ing\u00e9nierie de Toronto, men\u00e9e par le professeur Yu Zou, explore l\u2019utilisation de l\u2019apprentissage automatique (AA) pour perfectionner les proc\u00e9d\u00e9s d\u2019impression 3D, en particulier dans le domaine de l\u2019impression 3D m\u00e9tal, qui trouve des applications dans des industries vari\u00e9es telles que l\u2019automobile, l\u2019a\u00e9rospatiale et le nucl\u00e9aire. 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