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The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.

Surface texture metrology for metal additive manufacturing: a review

Open access
Townsend, A., Senin, N., Blunt, L., Leach, R.K., Taylor, J.S.·2016·Precision Engineering

Abstract

A comprehensive analysis of literature pertaining to surface texture metrology for metal additive manufacturing has been performed. This review paper structures the results of this analysis into sections that address specific areas of interest: industrial domain; additive manufacturing processes and materials; types of surface investigated; surface measurement technology and surface texture characterisation. Each section reports on how frequently specific techniques, processes or materials have been utilised and discusses how and why they are employed. Based on these results, possible optimisation of methods and reporting is suggested and the areas that may have significant potential for future research are highlighted.

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Crossref · 10.1016/j.precisioneng.2016.06.001

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Metadata

Authors
Townsend, A., Senin, N., Blunt, L., Leach, R. K., & Taylor, J. S.
Venue
Precision Engineering
Publisher
Elsevier BV
Published
2016-10
Volume
46
Pages
34-47
ISSN
0141-6359 (ISSN-L)
OpenAlex
W2415791065
Cited by
743
References
59
FWCI
48.10
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Surface texture metrology for metal additive manufacturing: a review. https://app.cochat.ai/papers/10.1016/j.precisioneng.2016.06.001
The paper
Townsend, A., Senin, N., Blunt, L., Leach, R. K., & Taylor, J. S. (2016). Surface texture metrology for metal additive manufacturing: a review. Precision Engineering. https://doi.org/10.1016/j.precisioneng.2016.06.001

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.