Abstract
Variable insoles can freely adjust the position of the insole, so they have been actively developed for posture and gait correction. This study proposed a customized insole design framework for individual foot shapes by constructing a digital twin model between a finite element analysis (FEA)-based virtual model and an actual physical model. Foot pressure data from the physical model were used as a load condition for the FEA model, and the insole material properties were tuned to maximize the similarity between the FEA model and the real model using virtual sensors. The obtained digital twin model corrected the abnormal arch index of the cavus foot to normal through position optimization of the partial insole, and subsequently balanced the front and rear of the foot.
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Acknowledgements
This work was supported by the National Research Foundation of Korea (NRF) Grant funded by the Ministry of Education (No. 2018R1D1A1A02086093), the Korea government (MSIT) (2020R1A5A8018822 and 2021R1A2C101355711).
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Kim, J., Choi, J., Kang, YJ. et al. Development of Customized Insole Design Framework Based on Digital Twin. Int. J. Precis. Eng. Manuf. 25, 785–798 (2024). https://doi.org/10.1007/s12541-023-00952-y
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DOI: https://doi.org/10.1007/s12541-023-00952-y