{"id":3811,"date":"2025-06-04T14:11:41","date_gmt":"2025-06-04T05:11:41","guid":{"rendered":"https:\/\/www.yan.mech.keio.ac.jp\/?post_type=news&p=3811"},"modified":"2025-07-25T14:16:07","modified_gmt":"2025-07-25T05:16:07","slug":"sai-dutta-gattu-et-al-investigation-of-the-effect-of-tool-rotation-rate-in-edm-drilling-of-ultrafine-grain-tungsten-carbide-using-predictive-machine-learning-journal-of-manufacturing-and-materials-p","status":"publish","type":"news","link":"https:\/\/www.yan.mech.keio.ac.jp\/en\/news\/sai-dutta-gattu-et-al-investigation-of-the-effect-of-tool-rotation-rate-in-edm-drilling-of-ultrafine-grain-tungsten-carbide-using-predictive-machine-learning-journal-of-manufacturing-and-materials-p\/","title":{"rendered":"Sai Dutta Gattu et al: Investigation of the Effect of Tool Rotation Rate in EDM Drilling of Ultrafine Grain Tungsten Carbide Using Predictive Machine Learning, Journal of Manufacturing and Materials Processing, 2025, 9, 187."},"content":{"rendered":"","protected":false},"featured_media":0,"template":"","news_category":[18],"class_list":["post-3811","news","type-news","status-publish","hentry","news_category-publication"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.yan.mech.keio.ac.jp\/en\/wp-json\/wp\/v2\/news\/3811","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.yan.mech.keio.ac.jp\/en\/wp-json\/wp\/v2\/news"}],"about":[{"href":"https:\/\/www.yan.mech.keio.ac.jp\/en\/wp-json\/wp\/v2\/types\/news"}],"wp:attachment":[{"href":"https:\/\/www.yan.mech.keio.ac.jp\/en\/wp-json\/wp\/v2\/media?parent=3811"}],"wp:term":[{"taxonomy":"news_category","embeddable":true,"href":"https:\/\/www.yan.mech.keio.ac.jp\/en\/wp-json\/wp\/v2\/news_category?post=3811"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}