{"634407":{"#nid":"634407","#data":{"type":"event","title":"MS Defense by Edward Nguyen","body":[{"value":"\u003Cp\u003ESUBJECT\u003C\/p\u003E\r\n\r\n\u003Cp\u003EM.S. Thesis Presentation\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPRESENTER\u003C\/p\u003E\r\n\r\n\u003Cp\u003EEdward Nguyen\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDATE\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMonday, April 20, 2020 @12:00 PM\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELOCATION\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/bluejeans.com\/564086576\u0022\u003Ehttps:\/\/bluejeans.com\/564086576\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETITLE\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMachine Learning for Anomalous Toolpath Identification in Subtractive Manufacturing\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECOMMITTEE\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Christopher Saldana, Chair (ME)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Thomas Kurfess, Co-Chair (ME)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Katherine Fu (ME)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESUMMARY\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe study aims to identify and classify machining phenomenon compared to a reference signal to determine if the toolpath mimics reflects the intended behavior. To accomplish this, a Computer Numerical Control (CNC) milling machine is instrumented with accelerometers to track and record vibrations. This data is collected from the spindle and processed using a machine learning algorithm that segregates signatures based on selected features and classifies them as expected behaviors or anomalous.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EPresentation Participation Information \u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPhone Dial-in\u003C\/p\u003E\r\n\r\n\u003Cp\u003E+1.888.748.9073 (United States(Primary))\u003C\/p\u003E\r\n\r\n\u003Cp\u003E+1.844.540.8065 (United States(Primary))\u003C\/p\u003E\r\n\r\n\u003Cp\u003E+1.408.419.1715 (United States(San Jose))\u003C\/p\u003E\r\n\r\n\u003Cp\u003E+1.408.915.6290 (United States(San Jose))\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGlobal Numbers: \u003Ca href=\u0022https:\/\/www.bluejeans.com\/premium-numbers\u0022\u003Ehttps:\/\/www.bluejeans.com\/premium-numbers\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMeeting ID: 564 086 576\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Machine Learning for Anomalous Toolpath Identification in Subtractive Manufacturing"}],"uid":"27707","created_gmt":"2020-04-15 18:51:11","changed_gmt":"2020-04-15 18:51:11","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-04-20T13:00:00-04:00","event_time_end":"2020-04-20T15:00:00-04:00","event_time_end_last":"2020-04-20T15:00:00-04:00","gmt_time_start":"2020-04-20 17:00:00","gmt_time_end":"2020-04-20 19:00:00","gmt_time_end_last":"2020-04-20 19:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"111531","name":"ms defense"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}