Events Calendar

Advanced Manufacturing Seminar Series

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

Contact: Tessa Yao

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