Hostname: page-component-745bb68f8f-b6zl4 Total loading time: 0 Render date: 2025-01-13T13:08:06.418Z Has data issue: false hasContentIssue false
  • English
  • Français

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

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

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.

References

Abdelrhman, A.M., Wei Gan, W. and Kurniawan, D. (2019), “Effect of part orientation on dimensional accuracy, part strength, and surface quality of three dimensional printed part”, IOP Conference Series: Materials Science and Engineering, Vol. 694 No. 1, p. 012048.Google Scholar
Baumers, M., Tuck, C., Wildman, R., Ashcroft, I. and Hague, R. (2011), “Energy inputs to additive manufacturing: Does capacity utilisation matter?”, 22nd Annual International Solid Freeform Fabrication Symposium - An Additive Manufacturing Conference, SFF 2011, No. January, pp. 30–40.Google Scholar
Bianchi, I., Di Pompeo, V., Mancia, T., Pieralisi, M. and Vita, A. (2022), “Environmental impacts assessment of Bound Metal Deposition 3D printing process for stainless steel”, Procedia CIRP, Elsevier B.V., Vol. 105 No. March, pp. 386–391.Google Scholar
Böckin, D. and Tillman, A.-M. (2019), “Environmental assessment of additive manufacturing in the automotive industry”, Journal of Cleaner Production, Vol. 226, pp. 977–987.CrossRefGoogle Scholar
Burkhart, M. and Aurich, J.C. (2015), “Framework to Predict the Environmental Impact of Additive Manufacturing in the Life Cycle of a Commercial Vehicle”, Procedia CIRP, Elsevier, Vol. 29, pp. 408–413.Google Scholar
Ezair, B., Massarwi, F. and Elber, G. (2015), “Orientation analysis of 3D objects toward minimal support volume in 3D-printing”, Computers & Graphics, Vol. 51, pp. 117–124.CrossRefGoogle Scholar
Faludi, J., Baumers, M., Maskery, I. and Hague, R. (2017), “Environmental Impacts of Selective Laser Melting: Do Printer, Powder, Or Power Dominate?”, Journal of Industrial Ecology, Vol. 21 No. S1, pp. S144–S156.CrossRefGoogle Scholar
Fredriksson, C. (2019), “Sustainability of metal powder additive manufacturing”, Procedia Manufacturing, Vol. 33, pp. 139–144.CrossRefGoogle Scholar
Garzaniti, N., Golkar, A. and Fortin, C. (2018), “Optimisation of multi-part 3D printing build strategies for lean product and process development”, IFIP Advances in Information and Communication Technology, Vol. 540, pp. 488–497.Google Scholar
Guarino, S., Ponticelli, G.S. and Venettacci, S. (2020), “Environmental assessment of Selective Laser Melting compared with Laser Cutting of 316L stainless steel: A case study for flat washers’ production”, CIRP Journal of Manufacturing Science and Technology, Vol. 31, pp. 525–538.CrossRefGoogle Scholar
ISO - International Organization for Standardization. (2023), ISO 50006:2023 Energy Management Systems Evaluating Energy Performance Using Energy Performance Indicators and Energy Baselines.Google Scholar
Ngo, T.D., Kashani, A., Imbalzano, G., Nguyen, K.T.Q. and Hui, D. (2018), “Additive manufacturing (3D printing): A review of materials, methods, applications and challenges”, Composites Part B: Engineering, Elsevier, Vol. 143 No. December 2017, pp. 172–196.Google Scholar
Peng, T., Wang, Y., Zhu, Y., Yang, Y., Yang, Y. and Tang, R. (2020), “Life cycle assessment of selective-laser-melting-produced hydraulic valve body with integrated design and manufacturing optimisation: A cradle-to-gate study”, Additive Manufacturing, Elsevier B.V., Vol. 36 No. August, p. 101530.Google Scholar
Sartini, M., Manuguerra, L., Favi, C. and Mandolini, M. (2023), “A MULTI-CRITERIA DECISION-MAKING APPROACH TO OPTIMISE THE PART BUILD ORIENTATION IN ADDITIVE MANUFACTURING”, Proceedings of the Design Society, Vol. 3 No. July, pp. 293–302.CrossRefGoogle Scholar
Solouki, A., Aliha, M. and Makui, A. (2023), “A Methodology for Optimising Impact Strength, Dimensional Accuracy and Costs of Manufacturing with Three-Dimensional Printing of Polylactic Acid”, Arabian Journal for Science and Engineering, available at: https://doi.org/10.1007/s13369-023-08422-3.CrossRefGoogle Scholar
Torres-Carrillo, S., Siller, H.R., Vila, C., López, C. and Rodríguez, C.A. (2020), “Environmental analysis of selective laser melting in the manufacturing of aeronautical turbine blades”, Journal of Cleaner Production, Vol. 246, p. 119068.CrossRefGoogle Scholar
Wang, W.M., Zanni, C. and Kobbelt, L. (2016), “Improved Surface Quality in 3D Printing by Optimising the Printing Direction”, Computer Graphics Forum, Vol. 35 No. 2, pp. 59–70.CrossRefGoogle Scholar
Yang, S., Talekar, T., Sulthan, M.A. and Zhao, Y.F. (2017), “A Generic Sustainability Assessment Model towards Consolidated Parts Fabricated by Additive Manufacturing Process”, Procedia Manufacturing, Elsevier, Vol. 10, pp. 831–844.Google Scholar
Yi, L., Glatt, M., Sridhar, P., de Payrebrune, K., Linke, B.S., Ravani, B. and Aurich, J.C. (2020), “An eco-design for additive manufacturing framework based on energy performance assessment”, Additive Manufacturing, Vol. 33, available at: https://doi.org/10.1016/j.addma.2020.101120.CrossRefGoogle Scholar