{"id":3142,"date":"2022-07-13T09:30:00","date_gmt":"2022-07-13T07:30:00","guid":{"rendered":"https:\/\/cirpicme.org\/?page_id=3142"},"modified":"2022-07-26T13:06:16","modified_gmt":"2022-07-26T11:06:16","slug":"prediction-and-control-of-injection-molded-part-weight-using-machine-learning-a-literature-review","status":"publish","type":"page","link":"https:\/\/cirpicme.org\/index.php\/forming-welding-2\/prediction-and-control-of-injection-molded-part-weight-using-machine-learning-a-literature-review\/","title":{"rendered":"Prediction and control of injection molded part weight using machine learning &#8211; A literature review"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><em>by Jonas Krauss, Ilona Borchardt (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\">Injection molding is an important and widely used process for the production of thermoplastic parts. Internal and external perturbations, such as fluctuating material properties due to the increasing use of recyclates, make it necessary to rapidly and continuously adapt the process to changing conditions. To ensure consistently high product quality and to support machine operators, machine learning methods are increasingly used for process monitoring and control. This study provides an overview of current approaches in this field, focusing on part weight as a decisive quality criterion.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Keywords<\/strong>: Injection molding; Machine learning; Quality control<\/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\/07\/Jonas_Krauss.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=\"100\" class=\"wp-image-2746\" style=\"width: 150px;\" src=\"https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2022\/06\/Jonas_Krauss_Photo.jpg?resize=150%2C100&#038;ssl=1\" alt=\"\" srcset=\"https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2022\/06\/Jonas_Krauss_Photo.jpg?w=500&amp;ssl=1 500w, https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2022\/06\/Jonas_Krauss_Photo.jpg?resize=300%2C200&amp;ssl=1 300w, https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2022\/06\/Jonas_Krauss_Photo.jpg?resize=150%2C100&amp;ssl=1 150w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><\/td><td><strong>Name:<\/strong><br><br><strong>Affiliation:<\/strong><br><br><strong>Email:<\/strong><\/td><td>Jonas Krauss<br><br>Fraunhofer Institute for Manufacturing Engineering and Automation, Germany<br><br>jonas.krauss@ipa.fraunhofer.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 Jonas Krauss, Ilona Borchardt (Germany) Abstract Injection molding is an important and widely used process for the production of thermoplastic parts. Internal and external perturbations, such as fluctuating material properties due to the increasing use of recyclates, make it necessary to rapidly and continuously adapt the process to changing&#8230;<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/cirpicme.org\/index.php\/forming-welding-2\/prediction-and-control-of-injection-molded-part-weight-using-machine-learning-a-literature-review\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":9,"featured_media":0,"parent":3656,"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-3142","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/3142","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=3142"}],"version-history":[{"count":1,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/3142\/revisions"}],"predecessor-version":[{"id":3143,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/3142\/revisions\/3143"}],"up":[{"embeddable":true,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/3656"}],"wp:attachment":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/media?parent=3142"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}