Literature DB >> 32683593

Roll-over shape of a prosthetic foot: a finite element evaluation and experimental validation.

Thirunindravur Mannan Balaramakrishnan1, Sundararajan Natarajan2, Sujatha Srinivasan1.   

Abstract

Prosthetic feet have generally been designed experimentally by adopting a trial-and-error technique. The objective of this research is to introduce a novel numerical approach for the a priori evaluation of the roll-over shape (ROS) of a prosthetic foot for application in its systematic design and development. The ROS was achieved numerically by employing a non-linear finite element model incorporating the augmented Lagrangian and multi-point constraint contact formulations, a hyperelastic material model and a higher-order strain definition. The Ottobock Solid Ankle Cushion Heel (SACH) foot was chosen to experimentally validate the numerical model. The geometry of the foot was evaluated from optical scans, and the material properties were obtained from uniaxial tensile, shear and volumetric compression tests. A new setup was designed for an improved experimental determination of the ROS, with the inclusion of an extended moment arm and variable loading. Error analysis of the radius of curvature of the ROS between the numerical and experimental results showed the percentage error to be 7.52%, thereby establishing the validity of the model. A numerical design model of this kind can be utilised to vary the input design parameters to arrive at a prosthetic foot with specified performance characteristics effectively and economically. Graphical abstract.

Entities:  

Keywords:  Artificial limbs; Finite element analysis; Foot; Gait; Walking

Mesh:

Year:  2020        PMID: 32683593     DOI: 10.1007/s11517-020-02214-9

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  1 in total

1.  A robust technique for optimal fitting of roll-over shapes of human locomotor systems.

Authors:  Ganesh M Bapat; Sara A Myers
Journal:  Med Eng Phys       Date:  2022-01-14       Impact factor: 2.242

  1 in total

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