Modelling of an Additive 3D-Printing Process Based on Design of Experiments Methodology

José Alberto Eguren (1), Aritz Esnaola (2), Gorka Unzueta (3)
(1) Mondragon Unibertsitatea, Spain,
(2) Mondragon Unibertsitatea, Spain,
(3) Mondragon Unibertsitatea, Spain

Abstract

Purpose: The implementation of additive manufacturing (AM) or 3D-printer manufacturing for technical prototyping, preproduction series and short production series can bring benefits in terms of reducing cost and time to market in product development. These technologies are beginning to be applied in different industrial sectors and have a great possibility of development. As these technologies are still in development, there is a need to define the capacity of the 3D machines to establish minimum standards for producing high-quality parts.

Methodology/Approach: The proposed methodology is based on a design of experiments (DOE) approach, which serves as a guide for engineers when it comes to executing any experimental study. The following steps were followed (Unzueta et al., 2019): Phase 1: define; Phase 2: measure; Phase 3: plan; Phase 4: execute experimentation; Phase 5: analyse the results; Phase 6: improve via confirmation experiments; Phases 7-8: control and standardise.

Findings: The proposed methodology is based on a design of experiments (DOE) approach, which serves as a guide for engineers when it comes to executing any experimental study. The following steps were followed (Unzueta et al., 2019): Phase 1: define; Phase 2: measure; Phase 3: plan; Phase 4: execute experimentation; Phase 5: analyse the results; Phase 6: improve via confirmation experiments; Phases 7-8: control and standardise.

Originality/Value of paper: This study uses a methodological approach to demonstrate how the 3D printing technology can be enriched with statistical testing techniques (DOE). It defines numerical prediction models to obtain high-quality parts with a new AM technology, using a planning process with a minimum amount of experimentation.

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References

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Authors

José Alberto Eguren
jaeguren@mondragon.edu (Primary Contact)
Aritz Esnaola
Gorka Unzueta
Author Biographies

José Alberto Eguren, Mondragon Unibertsitatea

PhD in industrial organization and management

Industrial Organisation
Mechanical and Industrial Production department

Researcher/Teacher

Aritz Esnaola, Mondragon Unibertsitatea

Doctor in Mechanical and Industrial Production

Polymer and Composites Technology
Mechanical and Industrial Production department


Researcher/Teacher

Gorka Unzueta, Mondragon Unibertsitatea

Industrial organization and management engineer

Industrial Organisation
Mechanical and Industrial Production department

Researcher/Teacher

Eguren, J. A., Esnaola, A., & Unzueta, G. (2020). Modelling of an Additive 3D-Printing Process Based on Design of Experiments Methodology. Quality Innovation Prosperity, 24(1), 128–151. https://doi.org/10.12776/qip.v24i1.1435

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