Lab-Scale Gantry Crane Digital Twin ExemplarExemplar
The research topic of digital twins has attracted a large amount of interest over the past decade. However, publicly available exemplars remain scarce. In the interest of open and reproducible science, in this exemplar paper we present a lab-scale gantry crane and its digital twin. The exemplar comprises both the physical and digital side of the twin system. The physical side consists of the physical crane and its controller. The digital side covers the CAD models and kinematic model of the crane, and provides services for optimal control, historical data logging, data visualization and continuous validation. We used this setup as use case in several previous publications where its functionality was validated. It is publicly available and only relies on other freely available and commonly used software, this way we hope it can be used for future research or education on the topic of digital twins.
Mon 6 OctDisplayed time zone: Eastern Time (US & Canada) change
15:30 - 16:30 | |||
15:30 15mPaper | Lab-Scale Gantry Crane Digital Twin ExemplarExemplar Technical Track | ||
15:45 15mPaper | Engineering Automotive Digital Twins on Standardized Architectures: Lessons from a Case StudyExemplar Technical Track Stefan Ramdhan McMaster University / McMaster Centre for Software Certification (McSCert), Winnie Trandinh McMaster University, Canada, Istvan David McMaster University / McMaster Centre for Software Certification (McSCert), Vera Pantelic McMaster University, Mark Lawford McMaster University Pre-print | ||
16:05 15mPaper | Engineering Fit-for-Implementation Digital Twins (FiDTs) Across the Total Product Lifecycle of Next-Generation Dental Restorative Materials: A Translational Intelligence Strategy for Real-World ImpactVision Technical Track Orlando Lopez National Institutes of Health , Jeff Buchsbaum National Institute of Health, Elena Sizikova Food and Drug Administration, Noffisat Oki National Institute of Health, Sepideh Mazrouee National Institutes of Health , Julia Berzhanskaya National Institute of Health, Siddharth Shenoy National Institute of Health | ||
16:20 10mDay closing | Day closing Technical Track | ||