March 14
@
12:00 PM
–
1:00 PM
Cybermanufacturing enables the shared use of networked manufacturing infrastructure to deliver manufacturing resources on-demand while maximizing capacity utilization, reducing consumption of natural and material resources, and reducing costs to product design and manufacturing. This talk will highlight three areas where our group has contributed to the understanding of Cybermanufacturing systems – 1) With the explosive growth of 3D product models, the data contained in them, may be used to democratize access and broaden those who are able to engage in product design and manufacturing; 2) Understanding of manufacturing capability available over the entire US through Natural Language Processing (NLP), and its interface with Large Language Models (like BERT & GPT-4); 3) Opportunities for a manufacturing two sided service marketplace, and our laboratory’s work in ‘computational mechanism design’. In the future, the digital connection across factories will also lead to Manufacturing Networks that are highly agile, distributed, and resilient. Emerging digital technologies such as Pervasive Sensing, Computational Intelligence, Edge-Fog-Cloud Computing, Digital Twins, Smart Automation, Intelligent Collaborative Robots etc., open new possibilities in the design of smart collaborative physical and digital networks of factories.
Bio:
Binil Starly serves as the Founding School Director and Professor in the School of Manufacturing Systems & Networks at Arizona State University, leading a group of 21 faculty and more than 13 staff within the School. For the Fulton Schools of Engineering, he leads the Workforce Development strategy for Microelectronics and Advanced Manufacturing. He has over 20 years of experience in digital manufacturing in the areas of intelligent machines, decentralized manufacturing, additive manufacturing, and factory automation. His laboratory is working on technologies that merge the digital and the physical world towards advancing both discrete and continuous manufacturing processes. He has received the National Science Foundation CAREER award for research in bio-additive manufacturing, SME ‘20 Most Influential Professors in Smart Manufacturing’, SME Young Manufacturing Engineering Award (2011) and numerous teaching awards.