Paper
20 September 2022 Optimization analysis of SMA components for artificial detrusor
ZhuJie Deng, Xiao Li, YaPeng Li, Ting Guan
Author Affiliations +
Proceedings Volume 12261, International Conference on Mechanical Design and Simulation (MDS 2022); 122611Y (2022) https://doi.org/10.1117/12.2638806
Event: Second International Conference on Mechanical Design and Simulation (MDS 2022), 2022, Wuhan, China
Abstract
For the purpose of optimizing the artificial detrusor driver, the mechanical model and finite element model of the driver are established, analyzed and simulated. Taking the deformation displacement and mass as the optimization objectives, the response surface relationship between the design parameters and the optimization objectives is obtained from the simulation results. The micturition performance was simulated and experimentally studied by establishing an experimental platform. On the premise of ensuring good urination performance, the mass of the optimized SMA driver is reduced by 40% compared with that before optimization. The research of this paper proves that the optimization analysis model and simulation model are effective and practical, which provides a reference for the design of artificial detrusor system suitable for clinical research.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
ZhuJie Deng, Xiao Li, YaPeng Li, and Ting Guan "Optimization analysis of SMA components for artificial detrusor", Proc. SPIE 12261, International Conference on Mechanical Design and Simulation (MDS 2022), 122611Y (20 September 2022); https://doi.org/10.1117/12.2638806
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KEYWORDS
Shape memory alloys

Bladder

Finite element methods

Analytical research

Optimization (mathematics)

3D modeling

Computer simulations

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