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

Badziili Nthubu, Daniel Richards, and Leon Cruickshank
Lancaster Institute for the Contemporary Arts, Lancaster University, Lancaster, UK

Abstract—As Additive Manufacturing (AM) continues to grow, what constitutes its definition is also fragmenting and becoming blurred. The blurring of definitions may lead to slow 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, the study 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, specifically in developing countries.

Index Terms—Additive manufacturing definitions, parallel coordinates, relationship mapping, speculative thinking

Cite: Badziili Nthubu, Daniel Richards, and Leon Cruickshank, "Using Visualization Models to Speculate on New Platforms for Additive Manufacturing Expansion," Journal of Industrial and Intelligent Information, Vol. 8, No. 2, pp. 32-37, December 2020. doi: 10.18178/jiii.8.2.32-37

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
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