{"id":3394,"date":"2022-07-13T09:30:00","date_gmt":"2022-07-13T07:30:00","guid":{"rendered":"https:\/\/cirpicme.org\/?page_id=3394"},"modified":"2022-07-26T13:02:00","modified_gmt":"2022-07-26T11:02:00","slug":"application-of-a-product-centred-process-independent-meta-model-for-multi-stage-production-data-to-enable-predictive-quality-for-additive-manufacturing","status":"publish","type":"page","link":"https:\/\/cirpicme.org\/index.php\/additive-manufacturing-3\/application-of-a-product-centred-process-independent-meta-model-for-multi-stage-production-data-to-enable-predictive-quality-for-additive-manufacturing\/","title":{"rendered":"Application of a product-centred process-independent meta-model for multi-stage production data to enable predictive quality for additive manufacturing"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><em>by Ronja Witt, Anna-Lena Knott, Simon Cramer, Robert H. Schmitt (Germany)<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Abstract<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In multi-step production processes with countless information sources, it is vital to accompany process data with meta-information to enable an efficient aggregation of the collected data. The relationships of process- and meta-data has been described through a previously presented flexible and process-independent meta-model, which is especially suitable for predictive quality applications. We propose an enhancement for the attribution of process parameters and quality characteristics. The two novel meta-classes provide information about tolerances and hence increase the process and product model. Our results show how the refined meta-model enhances the mapping of an additive manufacturing process. Further, we introduce an industry-ready implementation and make the code accessible on Github.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Keywords<\/strong>: Additive manufacturing; Data analytics; Meta-model; Medical technology; Process data; Predictive quality; Digital shadow; Smart production<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Video presentation<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-video\"><video height=\"1080\" style=\"aspect-ratio: 1920 \/ 1080;\" width=\"1920\" controls src=\"https:\/\/cirpicme.org\/wp-content\/uploads\/2022\/06\/Ronja_Witt.mp4\"><\/video><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Presenting author<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table class=\"has-background\" style=\"background-color:#f3f4f5\"><tbody><tr><td><\/td><td><\/td><td><\/td><\/tr><tr><td><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"155\" class=\"wp-image-3506\" style=\"width: 150px;\" src=\"https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2022\/07\/Ronja_Witt.png?resize=150%2C155&#038;ssl=1\" alt=\"\" srcset=\"https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2022\/07\/Ronja_Witt.png?w=577&amp;ssl=1 577w, https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2022\/07\/Ronja_Witt.png?resize=290%2C300&amp;ssl=1 290w, https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2022\/07\/Ronja_Witt.png?resize=145%2C150&amp;ssl=1 145w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><\/td><td><strong>Name:<\/strong><br><br><strong>Affiliation:<\/strong><br><br><strong>Email:<\/strong><\/td><td>Ronja Witt<br><br>RWTH Aachen University, Germany<br><br>r.witt@wzl-mq.rwth-aachen.de<\/td><\/tr><tr><td><\/td><td><\/td><td><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>by Ronja Witt, Anna-Lena Knott, Simon Cramer, Robert H. Schmitt (Germany) Abstract In multi-step production processes with countless information sources, it is vital to accompany process data with meta-information to enable an efficient aggregation of the collected data. The relationships of process- and meta-data has been described through a previously&#8230;<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/cirpicme.org\/index.php\/additive-manufacturing-3\/application-of-a-product-centred-process-independent-meta-model-for-multi-stage-production-data-to-enable-predictive-quality-for-additive-manufacturing\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":9,"featured_media":0,"parent":3648,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"nf_dc_page":"","om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-3394","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/3394","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/comments?post=3394"}],"version-history":[{"count":2,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/3394\/revisions"}],"predecessor-version":[{"id":3636,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/3394\/revisions\/3636"}],"up":[{"embeddable":true,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/3648"}],"wp:attachment":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/media?parent=3394"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}