{"id":4673,"date":"2022-05-18T10:44:07","date_gmt":"2022-05-18T08:44:07","guid":{"rendered":"https:\/\/tfi-aachen.de\/tfi-news\/tfi-launches-new-research-project\/"},"modified":"2022-05-18T10:45:18","modified_gmt":"2022-05-18T08:45:18","slug":"tfi-launches-new-research-project","status":"publish","type":"tfi-news","link":"https:\/\/tfi-aachen.de\/en\/tfi-news\/tfi-launches-new-research-project\/","title":{"rendered":"TFI launches new research project"},"content":{"rendered":"\n\n<div id=\"text-with-image-block_60b60f6a47c62\" class=\"block text-with-image alignfull icon-above-text no-link\">\n    <div class=\"container\">\n        <div class=\"wrapper bg-dark-gray\">\n            <div class=\"image-wrapper\">\n\t\t\t\t\t\t\t\t            <\/div>\n            <div class=\"text-wrapper\">\n\t\t\t\t                    <div class=\"icon-wrapper\">\n\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1\" height=\"1\" src=\"https:\/\/tfi-aachen.de\/wp-content\/uploads\/2021\/04\/icon_zertifizierung.svg\" class=\"icon\" alt=\"\" \/>                    <\/div>\n\t\t\t\t                <h1 class=\"title\">TFI startet neues Forschungsprojekt<\/h1>\n                <div class=\"text\">\n\t\t\t\t\t                <\/div>\n\t\t\t\t            <\/div>\n        <\/div>\n    <\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>The development of a digital material twin builds on the results of the digital process twin and extends the tufting simulation to include the material components. For this purpose, the decisive material parameters (yarn\/carrier material, stitch density, gauge, etc.) are identified, analyzed for their measurability, and then transferred to an AI model and evaluated. The aim is a resource-efficient use of machines and personnel to support the time- and cost-intensive development of new tufting products.<\/p>\n","protected":false},"featured_media":4649,"template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"_lmt_disableupdate":"","_lmt_disable":"","footnotes":"","_members_access_role":[],"_members_access_error":""},"tfi_news":[267,268],"class_list":["post-4673","tfi-news","type-tfi-news","status-publish","has-post-thumbnail","hentry","tfi_news-forschungsprojekt-en","tfi_news-startseite-en"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>TFI launches new research project - TFI Aachen GmbH<\/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:\/\/tfi-aachen.de\/en\/tfi-news\/tfi-launches-new-research-project\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"TFI launches new research project - TFI Aachen GmbH\" \/>\n<meta property=\"og:description\" content=\"The development of a digital material twin builds on the results of the digital process twin and extends the tufting simulation to include the material components. For this purpose, the decisive material parameters (yarn\/carrier material, stitch density, gauge, etc.) are identified, analyzed for their measurability, and then transferred to an AI model and evaluated. 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