Understanding the design variables that contribute to the response of a prosthetic foot: Part I -Rig Design

Authors: Hawkins, J., Sewell, P., Dupac, M. and Noroozi, S.

http://eprints.bournemouth.ac.uk/25023/

http://ieeexplore.ieee.org/Xplore/home.jsp

Start date: 14 September 2016

DOI: 10.1109/MEDO.2016.7746536

In this paper the design of a rig capable of replicating the dynamic response of an energy storing and returning composite prosthetic foot during amputee running is considered. It has been assumed that the amputee/prosthesis system can be modelled as a spring/mass system. Therefore the rig has been designed to allow the applied mass, input force frequency and foot contact point of various feet designs to be varied to test this assumption. The rig will allow the design variables that contribute to the response of a prosthetic foot during running to be understood and optimised to improve the foot’s performance.

This data was imported from Scopus:

Authors: Hawkins, J., Sewell, P. and Dupac, M.

http://eprints.bournemouth.ac.uk/25023/

Journal: 1st International Conference on Multidisciplinary Engineering Design Optimization, MEDO 2016

ISBN: 9781509021116

DOI: 10.1109/MEDO.2016.7746536

© 2016 IEEE. In this paper the design of a rig capable to simulate the dynamic response of an energy storing and returning composite prosthetic foot during amputee running is considered. It has been assumed that the amputee/prosthesis system can be modelled as a spring/mass system. Therefore the rig has been designed to allow the applied mass, input force and foot contact point of various feet designs to be varied to test this assumption. The rig will allow the design variables that contribute to the response of a prosthetic foot during running to be understood and optimised to improve the foot's performance.

This source preferred by Siamak Noroozi, Philip Sewell and Mihai Dupac

This data was imported from Web of Science (Lite):

Authors: Hawkins, J., Sewell, P. and Dupac, M.

http://eprints.bournemouth.ac.uk/25023/

Journal: PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE MULTIDISCIPLINARY ENGINEERING DESIGN OPTIMIZATION (MEDO)

The data on this page was last updated at 04:40 on November 19, 2017.