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Analysis of rapid manufacturing—using layer manufacturing processes for production

Open access
Hopkinson, N, Dicknes, P·2003·Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science

Abstract

Rapid prototyping (RP) technologies that have emerged over the last 15 years are all based on the principle of creating three-dimensional geometries directly from computer aided design (CAD) by stacking two-dimensional profiles on top of each other. To date most RP parts are used for prototyping or tooling purposes; however, in future the majority may be produced as end-use products. The term ‘rapid manufacturing’ in this context uses RP technologies as processes for the production of end-use products. This paper reports findings from a cost analysis that was performed to compare a traditional manufacturing route (injection moulding) with layer manufacturing processes (stereolithography, fused deposition modelling and laser sintering) in terms of the unit cost for parts made in various quantities. The results show that, for some geometries, it is more economical to use layer manufacturing methods than it is to use traditional approaches for production in the thousands.

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Metadata

Authors
Hopkinson, N., & Dicknes, P.
Venue
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
Published
2003-01-01
Volume
217
Issue
1
Pages
31-39
ISSN
  • 0263-7154 (ISSN-L)
  • 0954-4062
  • 2041-2983
OpenAlex
W2073562379
Cited by
412
References
0
FWCI
12.87
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Analysis of rapid manufacturing—using layer manufacturing processes for production. https://app.cochat.ai/papers/10.1243/095440603762554596
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Hopkinson, N., & Dicknes, P. (2003). Analysis of rapid manufacturing—using layer manufacturing processes for production. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. https://doi.org/10.1243/095440603762554596

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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.