Next Gen Prosthetics Assessing Emerging CAD Strategies.pdf (333.93 kB)

Towards additive manufacture of next generation prosthetics, assessing emerging CAD strategies for improving the existing CAD process order

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journal contribution
posted on 17.11.2016, 14:39 by Troy Bodkin, Richard Bibb, Russell A. Harris
The research project that this work comes from aims to address the issues and inefficiencies of current CAD systems in regards to working on multiple scales, with a particular focus on improving prosthetic design. Working from the micron scale to the macro scale and following on from work that defined a criteria of necessary material properties, this paper is a continuation of previous work that attempts to answer the research question ‘How can new CAD strategies be applied to improve the efficiency of producing parts with these necessary material properties?’ A selection of emerging CAD strategies from the last five years have been selected with a view of improving the hybrid process order created in the previous study. Each of these processes is introduced, and their pros and cons compared before identifying the areas of the CAD criteria that they can improve efficiency. Testing was performed using the software if it is available to see areas of improvement first-hand.

History

School

  • Design

Published in

International Journal of Rapid Manufacturing

Citation

BODKIN, T., BIBB, R.J. and HARRIS, R.A., 2017. Towards additive manufacture of next generation prosthetics, assessing emerging CAD strategies for improving the existing CAD process order. International Journal of Rapid Manufacturing, 6 (2/3) pp.185-196.

Publisher

Inderscience

Version

AM (Accepted Manuscript)

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/

Acceptance date

05/11/2016

Publication date

2017-02-08

Notes

This paper was accepted for publication in the journal International Journal of Rapid Manufacturing and the definitive published version is available at http://dx.doi.org/10.1504/IJRAPIDM.2017.10003093

ISSN

1757-8817

eISSN

1757-8825

Language

en

Exports