Events Calendar

Advanced Manufacturing Seminar

Speaker: Dr. Shreyes N. Melkote, Georgia Institute of Technology

Talk Title: A Digital Apprentice for Machining Chatter Detection: Application of Learning from Human Demonstration

Abstract: Regenerative chatter in machining operations such as milling is a common process anomaly that limits productivity and part quality. Traditional approaches for addressing this anomaly include chatter avoidance methods based on off-line dynamic stability analysis, and on-line chatter detection and suppression through real-time sensing and control. Chatter avoidance methods require specialized knowledge and skills for dynamic system identification and suffer from uncertainty in the stability boundary identification. On-line chatter detection methods tend to suffer from a high number of false positives and cannot always reliably detect chatter before part/machine damage occurs. Consequently, manufacturers often rely on the auditory and cognitive abilities of experienced human operators to monitor and control the machining process. This talk will present recent work that is inspired by learning from human demonstration frameworks to enable effective milling chatter detection via human-machine interaction, which facilitates knowledge transfer from an experienced operator to a Digital Apprentice consisting of an audio sensor, a learnable skill primitive for chatter detection, and a human-machine interface. Experimental results evaluating the effectiveness of this approach for chatter detection will be presented and discussed.

Biography: Dr. Shreyes N. Melkote holds the Morris M. Bryan Professorship in Advanced Manufacturing Systems in the George W. Woodruff School of Mechanical Engineering at Georgia Tech. He serves as Associate Director of the Georgia Tech Manufacturing Institute and as Executive Director of the Novelis Innovation Hub at Georgia Tech. Dr. Melkotes current research interests are in robotic manufacturing, science of precision material removal processes, novel surface enhancement methods, and data-driven methods for cyber manufacturing. His research in these areas is actively supported by industry and government sponsors. He is a Fellow of the ASME, SME, and CIRP.

Host: Center for Advanced Manufacturing

More Info: Registration Link: https://usc.zoom.us/webinar/register/WN_iOnvGwluSO-vDE5VsyYzTQ

Audiences: Everyone Is Invited

Contact: Tessa Yao

Event Link: Registration Link: https://usc.zoom.us/webinar/register/WN_iOnvGwluSO-vDE5VsyYzTQ