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Research Papers: Design for Manufacture and the Life Cycle

On the Geometric Accuracy of RepRap Open-Source Three-Dimensional Printer

[+] Author and Article Information
Antonio Lanzotti

Fraunhofer JL IDEAS-CREAMI,
Department of Industrial Engineering,
University of Naples Federico II,
P.le Tecchio, 80,
Naples 80125, Italy
e-mail: antonio.lanzotti@unina.it

Domenico Maria Del Giudice

Fraunhofer JL IDEAS-CREAMI,
Department of Industrial Engineering,
University of Naples Federico II,
P.le Tecchio, 80,
Naples 80125, Italy
e-mail: domenicomaria.delgiudice@unina.it

Antonio Lepore

Fraunhofer JL IDEAS-CREAMI,
Department of Industrial Engineering,
University of Naples Federico II,
P.le Tecchio, 80,
Naples 80125, Italy
e-mail: antonio.lepore@unina.it

Gabriele Staiano

Fraunhofer JL IDEAS-CREAMI,
Department of Industrial Engineering,
University of Naples Federico II,
P.le Tecchio, 80,
Naples 80125, Italy
e-mail: gabriele.staiano@unina.it

Massimo Martorelli

Fraunhofer JL IDEAS-CREAMI,
Department of Industrial Engineering,
University of Naples Federico II,
P.le Tecchio, 80,
Naples 80125, Italy
e-mail: massimo.martorelli@unina.it

1Corresponding author.

Contributed by the Design for Manufacturing Committee of ASME for publication in the JOURNAL OF MECHANICAL DESIGN. Manuscript received March 15, 2015; final manuscript received July 28, 2015; published online September 2, 2015. Assoc. Editor: Christopher Williams.

J. Mech. Des 137(10), 101703 (Sep 02, 2015) (8 pages) Paper No: MD-15-1216; doi: 10.1115/1.4031298 History: Received March 15, 2015; Revised July 28, 2015

In the field of additive manufacturing (AM) processes, there is a significant lack of scientific data on the performance of open-source 3D printers in relation to process parameter values. The purpose of this paper is to assess the impact of the main process parameters on the accuracy of a set of typical geometric features, as obtained with an open-source 3D printer, the RepRap Prusa-Mendel I2. For this purpose, a benchmarking part was set up, composed of elementary shapes, representing a series of different geometric features. By means of a DoE approach, it was possible to assess the effects of two process parameters—layer thickness (Lt) and flow rate (Fr)—on five geometric features: cube, sphere, cylinder, cone, and angled surface. A high resolution Laser Scanner was used to evaluate the variation between the acquired geometric feature and the corresponding 3D computer-aided design (CAD) nominal model. On the basis of experimental results, it was possible to analyze and discuss the main effects of the above-mentioned process parameters on each geometric feature. These results can help RepRap users in the correct selection of process parameters with the aim of improving the quality of prototypes.

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References

Figures

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Fig. 1

The open-source RepRap Prusa Mendel I2 used in this case study

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Fig. 2

Five geometric features selected in the benchmarking part

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Fig. 3

Benchmarking part RE acquisition by D700 Laser Scanner Fig. 4 Tensile test specimen

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Fig. 4

Common subset of scan data extracted for each geometric feature

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Fig. 5

Three-dimensional colored maps of deviations for the first replicate

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Fig. 6

Box-plots of the RMSE grouped by geometric features

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Fig. 7

Main effect plots obtained for each geometric feature for RMSE

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Fig. 8

Main (Lt) and interaction (Lt × Fr) effects for the cone

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Fig. 9

Main effects plot for RMSE average across all the geometric features

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Fig. 10

Interaction plot of the RMSE average across all the geometric features

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