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3D printing technique applied to rapid casting


Article Information:

Title:

 3D printing technique applied to rapid casting

Author(s):

Elena Bassoli, Andrea Gatto, Luca Iuliano, Maria Grazia Violante

Journal:

Rapid Prototyping Journal

Year:

2007 

Volume:

13 

Issue:

3 

Page:

148 - 155


DOI:

10.1108/13552540710750898

Publisher:

Emerald Group Publishing Limited

Document Access:

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Abstract:

Purpose – The purpose of this paper is to verify the feasibility and evaluate the dimensional accuracy of two rapid casting (RC) solutions based on 3D printing technology: investment casting starting from 3D-printed starch patterns and the ZCast process for the production of cavities for light-alloys castings.

Design/methodology/approach – Starting from the identification and design of a benchmark, technological prototypes were produced with the two RC processes. Measurements on a coordinate measuring machine allowed calculating the dimensional tolerances of the proposed technological chains. The predictive performances of computer aided engineering (CAE) software were verified when applied to the ZCast process modelling.

Findings – The research proved that both the investigated RC solutions are effective in obtaining cast technological prototypes in short times and with low costs, with dimensional tolerances that are completely consistent with metal casting processes.

Practical implications – The research assessed the feasibility and dimensional performances of two RC solutions, providing data that are extremely useful for the industrial application of the considered technologies.

Originality/value – The paper deals with experimental work on innovative techniques on which data are still lacking in literature. In particular, an original contribution to the determination of dimensional tolerances and the investigation on the predictive performances of commercial CAE software is provided.

Keywords:

Computer aided design, Printers, Rapid prototypes

Article Type:

Research paper

References:

14 references

Article URL:

www.emeraldinsight.com/10.1108/13552540710750898

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