Loughborough University
Browse

File(s) under permanent embargo

Reason: This item is currently closed access.

Combining dynamic foot scanning and additive manufacturing for the production of insoles: a case study

journal contribution
posted on 2014-09-01, 12:01 authored by Andre S. Salles, Diane GyiDiane Gyi, Timo Schmeltzpfenning
The development of an insole that is representative of the foot’s dynamic nature is crucial for good fit as well as comfort and performance. Additive manufacturing (AM) has the potential to allow the production of such insoles because of its tool-less capabilities and the ability to directly manufacture from CAD models at no extra cost. Research therefore has been undertaken to explore a process of foot capture by using a dynamic scanner for the design and manufacture of insoles using AM. The feet of four individuals were dynamically and statically scanned and from these data, four insole designs were developed for each person. The designs were: footprint, dynamic, average and static. The results indicated that the personalisation process is complex, mainly due to the need to identify and select the point cloud(s) from a large number of frames and manipulate them accordingly, presenting challenges in the design phase. The data from this study have demonstrated that combining dynamic scanning and AM technology is feasible for developing personalised insoles. While traditional footwear/insole is based on static data, this study can be considered as a starting point for the development of personalised insoles by using dynamic scanning and AM.

History

School

  • Design

Published in

Research Journal of Textile and Apparel [RJTA]

Volume

18

Issue

2

Pages

p1 - 8 (8)

Citation

SALLES, A.S., GYI, D.E. and SCHMELTZPFENNING, T., 2014. Combining dynamic foot scanning and additive manufacturing for the production of insoles: a case study. Research Journal of Textile and Apparel, 18(2), pp.1-8.

Publisher

Hong Kong Institution of Textile and Apparel

Version

  • NA (Not Applicable or Unknown)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2014

Notes

This item is Closed Access.

Language

  • en

Usage metrics

    Loughborough Publications

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC