Haoliang Yu
Papers
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1
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About
Haoliang Yu is a leading researcher in advanced manufacturing, with a primary focus on the computational modeling of additive manufacturing processes, particularly directed energy deposition (DED). His work addresses the critical challenge of accurately simulating the complex thermo-mechanical behavior inherent in multi-axis DED, where precise material deposition and thermal management are essential for part integrity. Yu’s major contribution lies in developing novel methodologies for element selection and clustering within finite element models, enabling more efficient and physically accurate simulations of the DED process. His most-cited paper, "Methodology for element selection and clustering in multi-axis directed energy deposition simulation" (2025), has already garnered attention, reflecting the pressing industrial need for reliable simulation tools to optimize process parameters and reduce trial-and-error in metal additive manufacturing. By bridging the gap between theoretical modeling and practical application, Yu’s work is instrumental in advancing the reliability and scalability of DED technologies. His research continues to drive innovation in process simulation, making him a key figure in the evolution of digital manufacturing and smart production systems.
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