Environmental analysis of a product manufactured with the use of an additive technology – AI-based vs. traditional approaches

• Autorzy: Dostatni Ewa , Dudkowiak Anna , Rojek Izabela , Mikołajewski Dariusz

Identyfikatory

DOI

10.24425/bpasts.2023.144478

• Języki publikacji: EN

Abstrakty

EN

This paper attempts to conduct a comparative life cycle environmental analysis of alternative versions of a product that was manufactured with the use of additive technologies. The aim of the paper was to compare the environmental assessment of an additive-manufactured product using two approaches: a traditional one, based on the use of SimaPro software, and the authors’ own concept of a newly developed artificial intelligence (AI) based approach. The structure of the product was identical and the research experiments consisted in changing the materials used in additive manufacturing (from polylactic acid (PLA) to acrylonitrile butadiene styrene (ABS)). The effects of these changes on the environmental factors were observed and a direct comparison of the effects in the different factors was made. SimaPro software with implemented databases was used for the analysis. Missing information on the environmental impact of additive manufacturing of PLA and ABS parts was taken from the literature for the purpose of the study. The novelty of the work lies in the results of a developing concurrent approach based on AI. The results showed that the artificial intelligence approach can be an effective way to analyze life cycle assessment (LCA) even in such complex cases as a 3D printed medical exoskeleton. This approach, which is becoming increasingly useful as the complexity of manufactured products increases, will be developed in future studies.

Słowa kluczowe

EN

additive manufacturing; AM; eco-design; life cycle assessment; LCA; artificial intelligence; AI; neural networks model

PL

produkcja dodatkowa; projektowanie ekologiczne; zielony design; szacowanie cyklu życia; LCA; sztuczna inteligencja; AI; model sieci neuronowej

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2023
• Tom: Vol. 71, nr 1
• Strony: art. no. e144478
• Opis fizyczny: Bibliogr. 45 poz., rys., tab.

Twórcy

autor

Dostatni Ewa

• Institute of Material Technology, Poznan University of Technology, Piotrowo 3, 60-965 Poznan, Poland

• https://orcid.org/0000-0003-3723-4540

autor

Dudkowiak Anna

• Institute of Material Technology, Poznan University of Technology, Piotrowo 3, 60-965 Poznan, Poland

• https://orcid.org/0000-0002-8819-0691

autor

Rojek Izabela

• Institute of Computer Science, Kazimierz Wielki University, Chodkiewicza 30, 85-064 Bydgoszcz, Poland

• https://orcid.org/0000-0002-9958-6579

autor

Mikołajewski Dariusz

• Institute of Computer Science, Kazimierz Wielki University, Chodkiewicza 30, 85-064 Bydgoszcz, Poland

• https://orcid.org/0000-0003-4157-2796

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).