A nitinol-based arch wedge support (AWS) was designed using computational approach. Finite element analysis (FEA) was performed to on this design to assess the influence of loading, boundary conditions, and thickness on the mechanical response of the computer-aid design (CAD) model. Five loading conditions caused by different human movements, two boundary conditions, and three thicknesses are involved in this computational study. FEA results showed that the presented AWS design can resist forces caused by different human motions without generating any permanent deformation. The study features the first time to design and evaluate a thin-walled nitinol AWS model. The results of this study form the background of prototyping and experimental testing of the design in the next phase.
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ASME 2018 International Mechanical Engineering Congress and Exposition
November 9–15, 2018
Pittsburgh, Pennsylvania, USA
Conference Sponsors:
- ASME
ISBN:
978-0-7918-5218-7
PROCEEDINGS PAPER
Computational Design and Analysis of Nitinol-Based Arch Wedge Support
Tyler Stranburg,
Tyler Stranburg
Mississippi State University, Starkville, MS
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Yucheng Liu,
Yucheng Liu
Mississippi State University, Starkville, MS
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Harish Chander,
Harish Chander
Mississippi State University, Starkville, MS
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Adam Knight
Adam Knight
Mississippi State University, Starkville, MS
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Tyler Stranburg
Mississippi State University, Starkville, MS
Yucheng Liu
Mississippi State University, Starkville, MS
Harish Chander
Mississippi State University, Starkville, MS
Adam Knight
Mississippi State University, Starkville, MS
Paper No:
IMECE2018-86287, V013T05A001; 8 pages
Published Online:
January 15, 2019
Citation
Stranburg, T, Liu, Y, Chander, H, & Knight, A. "Computational Design and Analysis of Nitinol-Based Arch Wedge Support." Proceedings of the ASME 2018 International Mechanical Engineering Congress and Exposition. Volume 13: Design, Reliability, Safety, and Risk. Pittsburgh, Pennsylvania, USA. November 9–15, 2018. V013T05A001. ASME. https://doi.org/10.1115/IMECE2018-86287
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