{"644177":{"#nid":"644177","#data":{"type":"event","title":"Machine Learning in Metals Additive Manufacturing","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003E\u0026quot;Machine Learning in Metals Additive Manufacturing\u003C\/strong\u003E\u003Cstrong\u003E\u0026quot;\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAaron Stebner, Ph.D.\u003Cbr \/\u003E\r\nAssociate Professor, Georgia Tech, School of Mechanical Engineering\u003Cbr \/\u003E\r\n\u003Cem\u003EMeeting Link:\u003C\/em\u003E\u0026nbsp;\u003Ca href=\u0022https:\/\/nam12.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fgatech.us7.list-manage.com%2Ftrack%2Fclick%3Fu%3D789c2f71dc30a8bdcaeff7e62%26id%3D8e7f7a7645%26e%3D5c9cdbb1a8\u0026amp;data=04%7C01%7Cwalter.rich%40research.gatech.edu%7C0b5e7de09ad849ef7ff108d8cdd48bdf%7C482198bbae7b4b258b7a6d7f32faa083%7C0%7C0%7C637485660050679522%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000\u0026amp;sdata=9L1hLgFKwbMRQHs0CT4w9IQLjSIlWn1L2QSgSDfH72g%3D\u0026amp;reserved=0\u0022 target=\u0022_blank\u0022 title=\u0022\/\/gatech.us7.list-manage.com\/track\/click?u=789c2f71dc30a8bdcaeff7e62\u0026amp;id=8e7f7a7645\u0026amp;e=5c9cdbb1a8\r\n\r\nClick to follow link.\u0022\u003Ehttps:\/\/primetime.bluejeans.com\/a2m\/live-event\/zesjjhzr\u003C\/a\u003E\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cp\u003EAbstract: Recent evidence of distributed\u0026nbsp;additive manufacturing\u0026nbsp;networks revolutionizing supply chains to meet drastic, sudden shifts in demand for life-saving medical equipment in times of a global pandemic makes evident that\u0026nbsp;additive manufacturing\u0026nbsp;technologies are at a tipping point of enabling local, on-demand, fit-for-purpose manufacturing that transforms societies.\u0026nbsp;Machine learning\u0026nbsp;is also transforming societies,\u0026nbsp;but\u0026nbsp;it\u0026nbsp;is yet to be\u0026nbsp;widely adopted in metals additive manufacturing technologies.\u0026nbsp;This seminar will introduce\u0026nbsp;pitfalls, successes, and open challenges\u0026nbsp;in application of machine learning to innovate metals additive manufacturing technologies\u0026nbsp;using\u0026nbsp;case studies from my career.\u0026nbsp;Pitfalls will be discussed through an example of my first attempts to use machine learning to create a\u0026nbsp;statistical\u0026nbsp;qualification\u0026nbsp;means\u0026nbsp;for companies. Success will be demonstrated through\u0026nbsp;more recent\u0026nbsp;results\u0026nbsp;using\u0026nbsp;machine learning together with\u0026nbsp;pre-existing data to\u0026nbsp;statistically inform the\u0026nbsp;onboarding of\u0026nbsp;a new laser powder bed fusion machine with a more powerful laser than the previous state of the art.\u0026nbsp;These case studies will motivate a summary of current recommended best practices for deciding when, how, and why to use machine learning in metals\u0026nbsp;additive manufacturing, or more broadly any materials or manufacturing problem, including how to verify that the answer is reliable. In conclusion, open challenges will be framed through the lens of a vision for\u0026nbsp;establishing the Advanced Manufacturing Pilot Facility at Georgia Tech as an epicenter for future decades of research and innovation of artificially\u0026nbsp;intelligent\u0026nbsp;metals manufacturing\u0026nbsp;systems.\u0026nbsp;\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cp\u003EBio: Prof.\u0026nbsp;Stebner\u0026nbsp;works at the intersection of manufacturing, machine learning, materials, and mechanics. Prof.\u0026nbsp;Stebner\u0026nbsp;joined the Georgia Tech faculty as an Associate Professor of Mechanical Engineering and Materials Science and Engineering in 2020. Previously, he was the\u0026nbsp;Rowlinson\u0026nbsp;Associate Professor of Mechanical Engineering and Materials Science at the Colorado School of Mines (2013 \u0026ndash; 2020), a postdoctoral scholar at the Graduate Aerospace Laboratories of the California Institute of Technology (2012 \u0026ndash; 2013), a Lecturer in the Segal Design Institute at Northwestern University (2009 \u0026ndash; 2012), a Research Scientist at\u0026nbsp;Telezygology\u0026nbsp;Inc. establishing manufacturing and \u0026ldquo;internet of things\u0026rdquo; technologies for shape memory alloy-secured latching devices (2008-2009), a Research Fellow at the NASA Glenn Research Center developing smart materials technologies for morphing aircraft structures (2006 \u0026ndash; 2008), and a Mechanical Engineer at the Electric Device Corporation in Canfield, OH developing manufacturing and automation technologies for the circuit breaker industry (1995 \u0026ndash; 2000).\u0026nbsp;\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cp\u003EHe has won numerous awards, including an NSF-Career award (2014), the Colorado School of Mines Researcher of the Year Award (2017), and a Visiting Professor Fellowship from the Japan Society for the Preservation of Science (JSPS, 2019).\u0026nbsp;\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cp\u003EStebner\u0026nbsp;serves as a board member of the ASM International Organization on Shape Memory and\u0026nbsp;Superelastic\u0026nbsp;Technologies (\u003Ca href=\u0022https:\/\/www.asminternational.org\/web\/smst\u0022 rel=\u0022noreferrer noopener\u0022 target=\u0022_blank\u0022\u003ESMST\u003C\/a\u003E) and an international advisory committee member of the International Conference on Martensitic Transformations (\u003Ca href=\u0022https:\/\/icomat2017.northwestern.edu\/\u0022 rel=\u0022noreferrer noopener\u0022 target=\u0022_blank\u0022\u003EICOMAT\u003C\/a\u003E).\u0026nbsp;Stebner\u0026nbsp;is an Associate Editor for the journal\u0026nbsp;\u003Ca href=\u0022https:\/\/www.journals.elsevier.com\/additive-manufacturing\u0022 rel=\u0022noreferrer noopener\u0022 target=\u0022_blank\u0022\u003EAdditive Manufacturing\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ERecent evidence of distributed\u0026nbsp;additive manufacturing\u0026nbsp;networks revolutionizing supply chains to meet drastic, sudden shifts in demand for life-saving medical equipment in times of a global pandemic makes evident that\u0026nbsp;additive manufacturing\u0026nbsp;technologies are at a tipping point of enabling local, on-demand, fit-for-purpose manufacturing that transforms societies.\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Aaron Stebner, Ph.D. - Machine Learning in Metals Additive Manufacturing"}],"uid":"27513","created_gmt":"2021-02-12 14:30:55","changed_gmt":"2021-02-12 14:49:07","author":"Walter Rich","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-03-08T12:00:00-05:00","event_time_end":"2021-03-08T13:00:00-05:00","event_time_end_last":"2021-03-08T13:00:00-05:00","gmt_time_start":"2021-03-08 17:00:00","gmt_time_end":"2021-03-08 18:00:00","gmt_time_end_last":"2021-03-08 18:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"643616":{"id":"643616","type":"image","title":"GTMI Lunch and Learn vertical banner","body":null,"created":"1611930185","gmt_created":"2021-01-29 14:23:05","changed":"1611930185","gmt_changed":"2021-01-29 14:23:05","alt":"GTMI Lunch and Learn Lecture Series banner","file":{"fid":"244355","name":"VERTICAL-Lunch and Learn Header-v1-TechGold.jpg","image_path":"\/sites\/default\/files\/images\/VERTICAL-Lunch%20and%20Learn%20Header-v1-TechGold_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/VERTICAL-Lunch%20and%20Learn%20Header-v1-TechGold_0.jpg","mime":"image\/jpeg","size":69804,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/VERTICAL-Lunch%20and%20Learn%20Header-v1-TechGold_0.jpg?itok=FKcrISac"}}},"media_ids":["643616"],"groups":[{"id":"155831","name":"Georgia Tech Manufacturing Institute (GTMI)"}],"categories":[],"keywords":[{"id":"186857","name":"go-gtmi"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"},{"id":"1791","name":"Student sponsored"}],"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":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:walter.rich@research.gatech.edu\u0022\u003EWalter Rich\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}