{"688380":{"#nid":"688380","#data":{"type":"event","title":"PhD Proposal by Neel Shah ","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle\u003C\/strong\u003E: Multi-material Mass Flow Monitoring and Feedback Control for Powder-blown Directed Energy Deposition\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate\u003C\/strong\u003E: Friday, February 27th, 2026\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETime\u003C\/strong\u003E: 2:00PM - 3:30PM ET\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation\u003C\/strong\u003E: GTMI 114\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EVirtual Link\u003C\/strong\u003E: \u003Ca href=\u0022https:\/\/teams.microsoft.com\/l\/meetup-join\/19%3ameeting_ZDdjMDdlNzctNDk1Mi00MGUyLTk2NmQtY2I5ZmNkYmIzNmMz%40thread.v2\/0?context=%7b%22Tid%22%3a%22482198bb-ae7b-4b25-8b7a-6d7f32faa083%22%2c%22Oid%22%3a%222d8ca51f-8078-4ebd-8a54-2b6e3237a5cf%22%7d\u0022 target=\u0022_blank\u0022\u003ENeel\u0027s PhD Proposal - Multimaterial Mass Flow Control [In-person] | Meeting-Join | Microsoft Teams\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EMeeting ID\u003C\/strong\u003E: 295 197 015 651 40\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EPasscode\u003C\/strong\u003E: SE6mK3nD\u003C\/p\u003E\u003Cp\u003ENeel Shah\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EPh.D. Robotics Student\u003C\/p\u003E\u003Cp\u003EGeorge W. Woodruff School of Mechanical Engineering\u003Cbr\u003EGeorgia Institute of Technology\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee\u003C\/strong\u003E:\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EDr. Aaron Stebner (Advisor)\u003C\/p\u003E\u003Cp\u003EMechanical Engineering\u003C\/p\u003E\u003Cp\u003EGeorgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EDr. Emmanouil Tentzeris\u003C\/p\u003E\u003Cp\u003EElectrical Engineering\u003C\/p\u003E\u003Cp\u003EGeorgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EDr. Levi Wood\u003C\/p\u003E\u003Cp\u003EMechanical Engineering\u003C\/p\u003E\u003Cp\u003EGeorgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EDr. Anirbar Mazumdar\u003C\/p\u003E\u003Cp\u003EAerospace Engineering\u003C\/p\u003E\u003Cp\u003EGeorgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EDr. Shreyas Kousik\u003C\/p\u003E\u003Cp\u003EMechanical Engineering\u003C\/p\u003E\u003Cp\u003EGeorgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EDr. Zachary Brunson\u003C\/p\u003E\u003Cp\u003EMechanical Engineering\u003C\/p\u003E\u003Cp\u003EGeorgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EDr. Jin Yeon Kim\u003C\/p\u003E\u003Cp\u003EMechanical Engineering\u003C\/p\u003E\u003Cp\u003EGeorgia Institute of Technology\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E: Functionally Graded Materials (FGMs) offer a solution to complex engineering design trade-offs by enabling the continuous variation of material properties within a single structure. Powder-Blown Directed Energy Deposition (PB-DED) has emerged as a premier additive manufacturing technology for FGM fabrication due to its ability to dynamically alter material composition in-situ. Despite this potential, the process remains difficult to implement in critical production environments due to inconsistent part quality and the stochastic nature of powder flow. Current state-of-the-art systems often rely on basic open-loop control which fail to account for process volatilities such as oscillatory flow instability and hysteresis. This proposal focuses on developing the sensing capabilities and control architectures necessary to bridge the gap toward repeatable manufacture of functionally graded structures. The proposed work is organized into four primary objectives: the development of novel PB-DED mass flow\u0026nbsp;sensing modalities; the implementation of an adaptive feedforward control architecture integrating an MRAC-enhanced Smith Predictor;\u0026nbsp;real-time multi-material flow quantification via spectral sensing; and the implementation of machine learning to distill spectral multi-material flow information into an array of inexpensive, orthogonal-modality sensors.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EMulti-material Mass Flow Monitoring and Feedback Control for Powder-blown Directed Energy Deposition\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Multi-material Mass Flow Monitoring and Feedback Control for Powder-blown Directed Energy Deposition"}],"uid":"27707","created_gmt":"2026-02-19 14:19:23","changed_gmt":"2026-02-19 14:19:58","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-02-27T14:00:00-05:00","event_time_end":"2026-02-27T15:30:00-05:00","event_time_end_last":"2026-02-27T15:30:00-05:00","gmt_time_start":"2026-02-27 19:00:00","gmt_time_end":"2026-02-27 20:30:00","gmt_time_end_last":"2026-02-27 20:30:00","rrule":null,"timezone":"America\/New_York"},"location":"GTMI 114","extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"102851","name":"Phd proposal"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}