Alberto Satine Gioiosa graduated from the University of Toledo in 2019 with a degree in mechanical engineering. He joined Hexagon in 2021. He is currently focused on coordinating engineering activities for the US System Dynamics team, technical support, and helping customers achieve their simulation goals through projects for durability, efficiency, and NVH analysis.
For this paper, the digital twin refers to a digital asset that exists alongside the physical asset during its operational life, providing insight into and feedback on the physical asset’s performance and health. Thus, the focus is on the DTI, with the potential to aggregate data into a DTA for the gearbox design being considered, and within the DTE set up by Hexagon.
In respect of the physical asset across its life, nothing is more important about its performance than its ability to function, i.e., reliability, and for CAE, nothing is of greater importance than to be able to predict the reliability of a product being designed. Thus, for this study, whilst gearbox noise, efficiency, and thermal behavior may be of interest, the primary interest is fatigue and reliability.
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