| Issue |
E3S Web Conf.
Volume 669, 2025
6th International Conference on Environmental Design and Health (ICED2025)
|
|
|---|---|---|
| Article Number | 03004 | |
| Number of page(s) | 6 | |
| Section | Climate Change | |
| DOI | https://doi.org/10.1051/e3sconf/202566903004 | |
| Published online | 26 November 2025 | |
Investigation of CO2 Emissions Related to the 3D-Printing of Polymeric Materials
Department of Industrial Management & Technology, University of Piraeus, 18534, Piraeus, Greece
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
In the perspective of a sustainable development, it is important the use of innovative processes in the production sector. 3D Printing and FDM (Fused Deposition Modelling) are modern manufacturing technologies with increasing fields of application as it offers flexibility, speed and cost efficiency. At the same time, the application of 3D printing technology aims to reduce the energy consumption and CO2 emissions in the manufacturing sector. The current research investigates the CO2 emissions of an FDM 3D printer during the fabrication of polymeric components under different process parameters. Five different polymeric materials (ABS, PLA, PEBA, CARBON-FIBER and NYLON), widely used in the industry sector, were studied. Four different 3D printing parameters (printing temperature, infill density, initial layer angle and printing speed) together with the required each time bed temperature were also studied for each material. It was found that printing temperature and initial layer angle has no significant effect on the CO2 emissions. On the other hand, by reducing the printing speed or by increasing the infill density and the bed temperature the CO2 emissions are increasing.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

