{"id":28318,"date":"2025-02-24T11:58:52","date_gmt":"2025-02-24T10:58:52","guid":{"rendered":"https:\/\/www.revistanuclear.es\/?p=28318"},"modified":"2025-02-24T11:59:05","modified_gmt":"2025-02-24T10:59:05","slug":"non-code-tools-in-the-manufacture-of-uranium-pellets","status":"publish","type":"post","link":"https:\/\/www.revistanuclear.es\/en\/technology-and-innovation\/non-code-tools-in-the-manufacture-of-uranium-pellets\/","title":{"rendered":"NON-CODE tools in the manufacture of uranium pellets"},"content":{"rendered":"<div class=\"rn-icon-panel__wrap\" style=\"display:flex;justify-content:flex-start;\"><a class=\"rn-icon-panel descargar\" href=\"https:\/\/www.revistanuclear.es\/wp-content\/uploads\/2025\/02\/Herramientas-NO-CODE.pdf\" target=\"_blank\" rel=\"noopener noreferrer nofollow\" style=\"--rn-bg:#8baf31;--rn-color:#ffffff;--rn-border:0px solid;--rn-shadow:0px 0px 0px;--rn-rounded:12px;--rn-padding:14px;--rn-gap:10px;--rn-icon-size:30px;\"><span class=\"rn-icon-panel__icon\" aria-hidden=\"true\"><img src=\"https:\/\/revistanuclear.es\/wp-content\/uploads\/2022\/12\/click.png\" alt=\"\" loading=\"lazy\" decoding=\"async\" \/><\/span><span class=\"rn-icon-panel__text\">SEE FULL VERSION<\/span><\/a><br><\/div><span class=\"su-dropcap su-dropcap-style-simple\" style=\"font-size:2.5em\">E<\/span><span style=\"font-weight: 400;\">NUSA fuel assembly factory (Juzbado, Salamanca) manages a vast amount of computerized data. However, certain historical values, while digitized, have not been migrated into an accessible format due to the technical challenges involved in this process.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This article focuses on the use of NO-CODE tools and artificial intelligence to extract these parameters and apply them to root-cause analysis in a product quality evaluation during the manufacturing of uranium pellets.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The main objective of this article is to demonstrate the commitment to continuous improvement through the potential of NO-CODE tools (Power Automate, AiBuilder, ChatGPT) in process automation, specifically for the automatic extraction of parameters from UO2 powder certificates. Prior to implementing this automated workflow, these data were inaccessible, which limited their potential. This new approach opens a wide range of possibilities in areas such as trend analysis, improvement teams, and enhanced process capabilities.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Through iterative use of ChatGPT, a Python script was developed to automate and periodically copy new files detected in a OneDrive (cloud) folder. Power Automate identifies these new PDF files and using AiBuilder, which is an artificial intelligence model pre-trained with various examples of certificates, extracts the relevant data and transfers them to another cloud repository.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This article illustrates, through a practical example, the value provided by this automatically generated data source. Its use enabled the root-cause analysis of a product quality event caused by specific characteristics of the UO<\/span><span style=\"font-weight: 400;\">2<\/span><span style=\"font-weight: 400;\"> powder used. Before the development of this workflow, such analysis would have been extremely challenging due to the inaccessibility of historical data.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>NUSA fuel assembly factory (Juzbado, Salamanca) manages a vast amount of computerized data. However, certain historical values, while digitized, have not been migrated into an accessible format due to the technical challenges involved in this process.\u00a0 This article focuses on the use of NO-CODE tools and artificial intelligence to extract these parameters and apply them to root-cause analysis in a product quality evaluation during the manufacturing of uranium pellets. The main objective of this article is to demonstrate the commitment [&hellip;]<\/p>\n","protected":false},"author":1664,"featured_media":28268,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"mc4wp_mailchimp_campaign":[],"footnotes":""},"categories":[67],"tags":[3735,3736,3738,2232,3737,2430,3739,1639],"coauthors":[3741],"class_list":["post-28318","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology-and-innovation","tag-certificates","tag-density","tag-dust","tag-manufacturing","tag-non-code","tag-pellets","tag-uo2-en","tag-uranium"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>NON-CODE tools in the manufacture of uranium pellets - Technology and Innovation<\/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.revistanuclear.es\/en\/technology-and-innovation\/non-code-tools-in-the-manufacture-of-uranium-pellets\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NON-CODE tools in the manufacture of uranium pellets - Technology and Innovation\" \/>\n<meta property=\"og:description\" content=\"NUSA fuel assembly factory (Juzbado, Salamanca) manages a vast amount of computerized data. However, certain historical values, while digitized, have not been migrated into an accessible format due to the technical challenges involved in this process.\u00a0 This article focuses on the use of NO-CODE tools and artificial intelligence to extract these parameters and apply them to root-cause analysis in a product quality evaluation during the manufacturing of uranium pellets. The main objective of this article is to demonstrate the commitment [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.revistanuclear.es\/en\/technology-and-innovation\/non-code-tools-in-the-manufacture-of-uranium-pellets\/\" \/>\n<meta property=\"og:site_name\" content=\"Revista Nuclear Espa\u00f1a\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/SNE.spain\" \/>\n<meta property=\"article:published_time\" content=\"2025-02-24T10:58:52+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-02-24T10:59:05+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.revistanuclear.es\/wp-content\/uploads\/2025\/02\/Cabecera-Flujo.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1920\" \/>\n\t<meta property=\"og:image:height\" content=\"1080\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Javier C\u00e1mara Ezquerra\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@SNEu235\" \/>\n<meta name=\"twitter:site\" content=\"@SNEu235\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Javier C\u00e1mara Ezquerra\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.revistanuclear.es\\\/en\\\/technology-and-innovation\\\/non-code-tools-in-the-manufacture-of-uranium-pellets\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.revistanuclear.es\\\/en\\\/technology-and-innovation\\\/non-code-tools-in-the-manufacture-of-uranium-pellets\\\/\"},\"author\":{\"name\":\"Javier C\u00e1mara Ezquerra\",\"@id\":\"https:\\\/\\\/www.revistanuclear.es\\\/en\\\/#\\\/schema\\\/person\\\/23a8c02966eb5af4c27cf3fd9b16b379\"},\"headline\":\"NON-CODE tools in the manufacture of uranium pellets\",\"datePublished\":\"2025-02-24T10:58:52+00:00\",\"dateModified\":\"2025-02-24T10:59:05+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.revistanuclear.es\\\/en\\\/technology-and-innovation\\\/non-code-tools-in-the-manufacture-of-uranium-pellets\\\/\"},\"wordCount\":317,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/www.revistanuclear.es\\\/en\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/www.revistanuclear.es\\\/en\\\/technology-and-innovation\\\/non-code-tools-in-the-manufacture-of-uranium-pellets\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.revistanuclear.es\\\/wp-content\\\/uploads\\\/2025\\\/02\\\/Cabecera-Flujo.jpg\",\"keywords\":[\"certificates\",\"density\",\"dust\",\"manufacturing\",\"NON-CODE\",\"pellets\",\"UO2\",\"Uranium\"],\"articleSection\":[\"Technology and Innovation\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/www.revistanuclear.es\\\/en\\\/technology-and-innovation\\\/non-code-tools-in-the-manufacture-of-uranium-pellets\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.revistanuclear.es\\\/en\\\/technology-and-innovation\\\/non-code-tools-in-the-manufacture-of-uranium-pellets\\\/\",\"url\":\"https:\\\/\\\/www.revistanuclear.es\\\/en\\\/technology-and-innovation\\\/non-code-tools-in-the-manufacture-of-uranium-pellets\\\/\",\"name\":\"NON-CODE tools in the manufacture of uranium pellets - 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