A Bibliometric analysis of research in Design for Additive Manufacturing - accepted.pdf (1.32 MB)
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A bibliometric analysis of research in design for additive manufacturing

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Design for Additive Manufacturing (DfAM) provides an opportunity to harness the capabilities of Additive Manufacturing. Research shows that knowledge has been developed which cuts across different aspects in the field. Hence, as an emerging research area, it is imperative to understand how the knowledge in this field is developing and its significance to both academia and industry. In this paper, we use a bibliometric approach to analyse publications from January 2010 to December 2020 to explore the subject areas, publication outlets, most active authors, geographical distribution of scholarly outputs, collaboration and co-citations at both institutional and geographical levels, and outcomes from keyword analysis. Our findings reveal that most knowledge has been developed in DfAM methods, rules, and guidelines. This may suggest that designers are trying to learn new ways of harnessing the freedom offered by AM. Furthermore, more knowledge is needed to understand how to tackle the inherent limitations in AM processes. Moreover, DfAM knowledge has thus far been developed mostly by authors in a small number of institutional and geographical clusters; potentially limiting diverse perspectives and synergies from international collaboration which are essential for global knowledge development, the improvement of the quality of DfAM research, and its wider dissemination. A concise structure of DfAM knowledge areas upon which the Bibliometric analysis was conducted was developed. Furthermore, areas where research is concentrated, and those that require further knowledge development are revealed.

History

School

  • Design and Creative Arts

Department

  • Design

Published in

Rapid Prototyping Journal

Volume

28

Issue

5

Pages

967-987

Publisher

Emerald

Version

AM (Accepted Manuscript)

Rights holder

© Emerald

Publisher statement

This paper was accepted for publication in the journal Rapid Prototyping Journal and the definitive published version is available at https://doi.org/10.1108/RPJ-11-2020-0291

Acceptance date

01/12/2021

Publication date

2022-01-14

Copyright date

2020

ISSN

1355-2546

Language

en

Depositor

Mr Martins Obi. Deposit date: 2 December 2021