{"id":3370,"date":"2022-07-13T09:30:00","date_gmt":"2022-07-13T07:30:00","guid":{"rendered":"https:\/\/cirpicme.org\/?page_id=3370"},"modified":"2022-07-26T13:08:02","modified_gmt":"2022-07-26T11:08:02","slug":"hardness-control-of-automotive-seat-materials-using-a-hybrid-design-method-of-machine-learning-and-optimization","status":"publish","type":"page","link":"https:\/\/cirpicme.org\/index.php\/symposium-on-international-workshop-on-emergent-synthesis-iwes-2022\/hardness-control-of-automotive-seat-materials-using-a-hybrid-design-method-of-machine-learning-and-optimization\/","title":{"rendered":"Hardness Control of Automotive Seat Materials Using a Hybrid Design Method of Machine Learning and Optimization"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><em>by Takashi Tanizaki (Japan)<\/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 the Japanese automotive industry, there is an urgent need to reduce the variation in hardness of automotive seat materials to improve ride quality. Company A and Company B, our joint research partners, are required by automobile companies to achieve a seat surface hardness of \u00b1?%, which is narrower than the conventional quality acceptance range of \u00b1?%. The control valuables related to seat surface hardness are complexly interrelated. Therefore, it is difficult to extract and control the control variables related to seat surface hardness in conventional multivariate analysis. In this study, we propose a hybrid design method of machine learning and optimization to extract the control variables related to the hardness of automotive seat materials and control them within the quality acceptance range.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Keywords<\/strong>: Hardness control; Seat materials; Machine learning; Optimization; 0-1 integer programming<\/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=\"720\" style=\"aspect-ratio: 1280 \/ 720;\" width=\"1280\" controls src=\"https:\/\/cirpicme.org\/wp-content\/uploads\/2022\/06\/Takashi_Tanizaki.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=\"175\" class=\"wp-image-2457\" style=\"width: 150px;\" src=\"https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2021\/07\/Takashi_Tanizaki_Photo.png?resize=150%2C175&#038;ssl=1\" alt=\"\" srcset=\"https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2021\/07\/Takashi_Tanizaki_Photo.png?w=167&amp;ssl=1 167w, https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2021\/07\/Takashi_Tanizaki_Photo.png?resize=128%2C150&amp;ssl=1 128w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><\/td><td><strong>Name:<\/strong><br><br><strong>Affiliation:<\/strong><br><br><strong>Email:<\/strong><\/td><td>Takashi Tanizaki<br><br>Kindai University, Japan<br><br>tanizaki@hiro.kindai.ac.jp<\/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 Takashi Tanizaki (Japan) Abstract In the Japanese automotive industry, there is an urgent need to reduce the variation in hardness of automotive seat materials to improve ride quality. Company A and Company B, our joint research partners, are required by automobile companies to achieve a seat surface hardness of&#8230;<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/cirpicme.org\/index.php\/symposium-on-international-workshop-on-emergent-synthesis-iwes-2022\/hardness-control-of-automotive-seat-materials-using-a-hybrid-design-method-of-machine-learning-and-optimization\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":4,"featured_media":0,"parent":3554,"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-3370","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/3370","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\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/comments?post=3370"}],"version-history":[{"count":1,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/3370\/revisions"}],"predecessor-version":[{"id":3371,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/3370\/revisions\/3371"}],"up":[{"embeddable":true,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/3554"}],"wp:attachment":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/media?parent=3370"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}