Speaker: Professor Martin Byung-Guk Jun
Affiliation: Associate Professor, School of Mechanical Engineering,
Purdue University, West Lafayette, IN
Location: Mechanical Engineering Building, 5 King’s College Rd, Room MC331
Date: Friday, June 28th, 2019
Time: 2 pm – 3 pm
Abstract: Owing to innovations in digital technologies such as IoT, big data, artificial intelligence, and so on, many machines and devices have become automated, smaller, and smarter. These digital technologies have significant impact on manufacturing technologies and are at the core of 4th industrial revolution. Using these digital technologies can enable full autonomous operation of manufacturing machines, leading to survival and prosperity of small and medium sized manufacturing enterprises. In order to realize this, the first step is to establish the technology for smart monitoring and control of the manufacturing processes and equipment. Smart monitoring and control will enable adaptive automation, where unforeseeable events such as component failure or tool breakage can be predicted and the machine is accordingly serviced autonomously. This requires development of sensors to monitor the machine condition and status, sensor data analytics and machine learning algorithms to predict and determine the machine condition, and middleware technology to enable effective communication between machine and main controller or human. Presented in this talk are use of IoT sensors and devices to create digital twins of machines to monitor machines at manufacturing plants and develop methods to utilize digital twins and data obtained for smart manufacturing.
Brief Biography: Dr. Martin Jun is an Associate Professor of the School of Mechanical Engineering at Purdue University, West Lafayette, IN, USA. He received the BSc and MASc degrees in Mechanical Engineering from the University of British Columbia, Vancouver, Canada in 1998 and 2000, respectively. He then received his PhD degree in 2005 from the University of Illinois at Urbana-Champaign in the Department of Mechanical Science and Engineering. His main research focus is on advanced multi-scale and multi-material manufacturing processes and technologies for various applications such as sensing, optics, aerospace, biomedical, and energy. He has authored over 100 peer-reviewed journal publications. He is the recipient of the 2011 SME Outstanding Young Manufacturing Engineer Award, 2012 Canadian Society of Mechanical Engineers I.W. Smith Award for Outstanding Achievements, and 2015 Korean Society of Manufacturing Technology Engineers Damwoo Award.
Prof. Martin Byung-Guk Jun’s lecture is hosted by the Toronto Institute for Advanced Manufacturing as part of the Distinguished Speaker Seminars.
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