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Using Visualization Models to Speculate on New Platforms for Additive Manufacturing Expansion

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Using Visualization Models to Speculate on New Platforms for Additive Manufacturing Expansion. / Nthubu, Badziili; Richards, Daniel; Cruickshank, Leon.
In: Journal of Industrial and Intelligent Information, Vol. 8, No. 2, 01.12.2020, p. 32-37.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Nthubu B, Richards D, Cruickshank L. Using Visualization Models to Speculate on New Platforms for Additive Manufacturing Expansion. Journal of Industrial and Intelligent Information. 2020 Dec 1;8(2):32-37. doi: 10.18178/jiii.8.2.32-37

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@article{2337dd09046a4a8db3300490cbe79b5f,
title = "Using Visualization Models to Speculate on New Platforms for Additive Manufacturing Expansion",
abstract = "As Additive Manufacturing (AM) continues to grow, what constitutes its definition is also fragmenting and becoming blurred. The blurring of definitions may lead toslow understanding of AM technology, particularly in developing nations. To address this problem, the study proposes an expanded definition of AM based on the American Society for Testing and Materials (ASTM) standard AM definition. To examine the possible applicability of the expanded AM definition framework, thestudy considers conventional manufacturing processes and selected AM {\textquoteleft}outliers{\textquoteright} that are not traditionally classified as AM under the ASTM definition, yet exhibit specific similar attributes, to appraise the framework. The relationship between AM outliers are visualized to highlight possible future forms of additive manufacturing. In conclusion, the study argues that these visualization models may expand the definition of AM for new areas of applications, specificallyin developing countries. ",
author = "Badziili Nthubu and Daniel Richards and Leon Cruickshank",
year = "2020",
month = dec,
day = "1",
doi = "10.18178/jiii.8.2.32-37",
language = "English",
volume = "8",
pages = "32--37",
journal = "Journal of Industrial and Intelligent Information",
issn = "2301-3745",
number = "2",

}

RIS

TY - JOUR

T1 - Using Visualization Models to Speculate on New Platforms for Additive Manufacturing Expansion

AU - Nthubu, Badziili

AU - Richards, Daniel

AU - Cruickshank, Leon

PY - 2020/12/1

Y1 - 2020/12/1

N2 - As Additive Manufacturing (AM) continues to grow, what constitutes its definition is also fragmenting and becoming blurred. The blurring of definitions may lead toslow understanding of AM technology, particularly in developing nations. To address this problem, the study proposes an expanded definition of AM based on the American Society for Testing and Materials (ASTM) standard AM definition. To examine the possible applicability of the expanded AM definition framework, thestudy considers conventional manufacturing processes and selected AM ‘outliers’ that are not traditionally classified as AM under the ASTM definition, yet exhibit specific similar attributes, to appraise the framework. The relationship between AM outliers are visualized to highlight possible future forms of additive manufacturing. In conclusion, the study argues that these visualization models may expand the definition of AM for new areas of applications, specificallyin developing countries.

AB - As Additive Manufacturing (AM) continues to grow, what constitutes its definition is also fragmenting and becoming blurred. The blurring of definitions may lead toslow understanding of AM technology, particularly in developing nations. To address this problem, the study proposes an expanded definition of AM based on the American Society for Testing and Materials (ASTM) standard AM definition. To examine the possible applicability of the expanded AM definition framework, thestudy considers conventional manufacturing processes and selected AM ‘outliers’ that are not traditionally classified as AM under the ASTM definition, yet exhibit specific similar attributes, to appraise the framework. The relationship between AM outliers are visualized to highlight possible future forms of additive manufacturing. In conclusion, the study argues that these visualization models may expand the definition of AM for new areas of applications, specificallyin developing countries.

U2 - 10.18178/jiii.8.2.32-37

DO - 10.18178/jiii.8.2.32-37

M3 - Journal article

VL - 8

SP - 32

EP - 37

JO - Journal of Industrial and Intelligent Information

JF - Journal of Industrial and Intelligent Information

SN - 2301-3745

IS - 2

ER -