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The energy performance assessment method to establish the best part build orientation in additive manufacturing

Published online by Cambridge University Press:  16 May 2024

Marco Mandolini ,
Mikhailo Sartini ,
Marta Rossi ,
Claudio Favi  and
Marco Marconi
Marco Mandolini*
Affiliation:
Università Politecnica delle Marche, Italy
Mikhailo Sartini
Affiliation:
Università Politecnica delle Marche, Italy
Marta Rossi
Affiliation:
Università degli Studi eCampus, Italy
Claudio Favi
Affiliation:
Università degli studi di Parma, Italy
Marco Marconi
Affiliation:
Università degli Studi della Tuscia, Italy
*
m.mandolini@staff.univpm.it

Abstract

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The growing use of additive manufacturing (AM) processes pushes research towards studying methods to reduce their environmental impact. The part build orientation is a significant process variable, which can be chosen through the Energy Performance Assessment (EPA), a straightforward method. The paper presents a method for identifying the best part build orientation considering energy consumption. The EPA has been adapted for this purpose, resulting in an approach based on four steps. The method was employed to determine the best printing direction for three parts and two AM technologies.

Keywords

ecodesignsustainable designenergy efficiency3D printingadditive manufacturing
Type
Design for Additive Manufacturing
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024 , pp. 1769 - 1778
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2024.

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