Papers
1
Total Citations
29
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About
Jonas Hagmar is a researcher at the forefront of digital twin technology and geometry assurance in manufacturing. His work centers on developing data flow and communication frameworks that enable real-time simulation, optimization, and control of production systems. His most-cited paper, "Data Flow and Communication Framework Supporting Digital Twin for Geometry Assurance" (2017, 29 citations), addresses how advances in optimization algorithms and computing power can transform traditional simulation into dynamic, real-time tools. This foundational contribution demonstrates how digital twins can leverage increased data availability to monitor and assure product geometry throughout the production lifecycle. Hagmar’s research bridges the gap between theoretical simulation and practical industrial application, offering a pathway toward smarter, more responsive manufacturing environments. His work is particularly relevant for engineers and researchers exploring Industry 4.0, cyber-physical systems, and the integration of real-time data with production control. By tackling the critical challenge of geometry assurance—a key factor in product quality and assembly precision—Hagmar is helping shape the future of adaptive, data-driven manufacturing.
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