{"id":148192,"date":"2022-10-14T19:22:50","date_gmt":"2022-10-15T00:22:50","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2022\/10\/deep-learning-makes-x-ray-ct-inspection-of-3d-printed-parts-faster-more-accurate"},"modified":"2022-10-14T19:22:50","modified_gmt":"2022-10-15T00:22:50","slug":"deep-learning-makes-x-ray-ct-inspection-of-3d-printed-parts-faster-more-accurate","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2022\/10\/deep-learning-makes-x-ray-ct-inspection-of-3d-printed-parts-faster-more-accurate","title":{"rendered":"Deep learning makes X-ray CT inspection of 3D-printed parts faster, more accurate"},"content":{"rendered":"<p><\/p>\n<p><iframe style=\"display: block; margin: 0 auto; width: 100%; aspect-ratio: 4\/3; object-fit: contain;\" src=\"https:\/\/www.youtube.com\/embed\/R-QyfOZvo3s?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope;\n   picture-in-picture\" allowfullscreen><\/iframe><\/p>\n<p>A new deep-learning framework developed at the Department of Energy\u2019s Oak Ridge National Laboratory is speeding up the process of inspecting additively manufactured metal parts using X-ray computed tomography, or CT, while increasing the accuracy of the results. The reduced costs for time, labor, maintenance and energy are expected to accelerate expansion of additive manufacturing, or 3D printing.<\/p>\n<p>\u201cThe scan speed reduces costs significantly,\u201d said ORNL lead researcher Amir Ziabari. \u201cAnd the quality is higher, so the post-processing analysis becomes much simpler.\u201d<\/p>\n<p>The framework is already being incorporated into software used by commercial partner ZEISS within its machines at DOE\u2019s Manufacturing Demonstration Facility at ORNL, where companies hone 3D-printing methods.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A new deep-learning framework developed at the Department of Energy\u2019s Oak Ridge National Laboratory is speeding up the process of inspecting additively manufactured metal parts using X-ray computed tomography, or CT, while increasing the accuracy of the results. The reduced costs for time, labor, maintenance and energy are expected to accelerate expansion of additive manufacturing, [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1489,6],"tags":[],"class_list":["post-148192","post","type-post","status-publish","format-standard","hentry","category-3d-printing","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/148192","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/427"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=148192"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/148192\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=148192"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=148192"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=148192"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}