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  • Advanced Manufacturing Seminar Series

    Fri, Oct 09, 2020 @ 10:00 AM - 11:30 AM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Qiang Huang, USC

    Talk Title: Engineering-Informed Machine Learning for Shape Distortion Control in Additive Manufacturing

    Abstract: Geometric shape accuracy is an important quality measure for products built by additive
    manufacturing (AM) processes. With increased availability of AM product data and advances in computing,
    Machine Learning for AM (ML4AM) has become a viable strategy for enhancing printing performance. We
    propose a Shape Deviation Generator (SDG) under an engineering-informed convolution formulation to
    facilitate the learning and prediction of 3D printing accuracy. Shape deviation representation, individual layer
    input function and transfer function for the convolution formulation are proposed and derived. A deconvolution
    problem for identifying the convolution kernel is formulated to captures the inter-layer interaction effects in the
    layer-by-layer fabrication processes. The printed 2D and 3D shapes via a stereolithography (SLA) process are
    used to demonstrate the proposed modeling framework and derive new process insights for AM processes.

    Biography: Dr. Qiang Huang is currently a Professor at the Daniel J. Epstein Department of Industrial and Systems Engineering, University of Southern California (USC), Los Angeles. He was the holder of Gordon S. Marshall Early Career Chair in Engineering at USC from 2012 to 2016. He received National
    Science Foundation CAREER award in 2011 and IEEE Transactions on Automation Science and Engineering Best Paper Award from IEEE Robotics and Automation Society in 2014. He is Department Editor for IISE Transactions, Associate Editor for ASME
    Transactions, Journal of Manufacturing Science and Engineering, and a member of the Editorial Board for Journal of Quality Technology. He also served an Associate Editor for IEEE Transactions on Automation Science and Engineering and for IEEE Robotics and Automation Letters.

    Host: AME Department

    More Info: Please register for this webinar at: https://usc.zoom.us/webinar/register/WN_wxCrLd9yTaCOQH81EMMvSA

    Webcast: Please register for this webinar at: https://usc.zoom.us/webinar/register/WN_wxCrLd9yTaCOQH81EMMvSA

    More Information: Adv Mfg Seminar Fall 2020_Qiang Huang.pdf

    Location: Online event

    WebCast Link: Please register for this webinar at: https://usc.zoom.us/webinar/register/WN_wxCrLd9yTaCOQH81EMMvSA

    Audiences: Everyone Is Invited

    Posted By: Tessa Yao

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