Process‐property relationship in polylactic acid composites reinforced by iron microparticles and 3D printed by fused filament fabrication

Hasanzadeh, R, Mihankhah, P, Azdast, T, Bodaghi, M ORCID: https://orcid.org/0000-0002-0707-944X and Moradi, M, 2023. Process‐property relationship in polylactic acid composites reinforced by iron microparticles and 3D printed by fused filament fabrication. Polymer Engineering and Science. ISSN 0032-3888

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Abstract

Polylactic acid (PLA) is the most widely used material in the fused filament fabrication (FFF) technique, which is a biocompatible thermoplastic. However, PLA's usefulness is limited by its narrow processing window and relatively low mechanical properties. Therefore, PLA composites have been developed to enhance its properties for FFF printing. A key challenge in producing composite parts via this method is to find the correlation between the mechanical properties of the parts and the process parameters. This knowledge is essential for optimizing the printing process to achieve the desired mechanical properties for composite parts industries such as aerospace, automotive, and medical, where high-performance composite materials are crucial. The ability to control and predict the mechanical properties of FFF-printed composite parts is critical for their successful integration into these industries. In this study, the effect of nozzle temperature (NT), printing speed (PS), and nominal porosity (POR) on the impact strength and specific impact strength of PLA/iron composites was examined using FFF. Response surface methodology (RSM) was used to optimize the experimental design. The results revealed that POR had the most significant effect on the impact resistance data, while NT had the least effect. Reducing the POR led to improved impact resistance in the samples. Multi-objective optimization results showed that the lowest NT (190°C), the lowest POR (30%), and a PS of 50 mm/s were the optimal conditions for multiple objectives. RSM was also utilized to develop mathematical models of impact properties, focusing on varying NT, POR, and PS, which can be used to predict desired impact properties.

Item Type:	Journal article
Publication Title:	Polymer Engineering and Science
Creators:	Hasanzadeh, R., Mihankhah, P., Azdast, T., Bodaghi, M. and Moradi, M.
Publisher:	Wiley
Date:	7 November 2023
ISSN:	0032-3888
Identifiers:	Number Type 10.1002/pen.26556 DOI 1843894 Other
Divisions:	Schools > School of Science and Technology
Record created by:	Jeremy Silvester
Date Added:	20 Dec 2023 09:48
Last Modified:	07 Nov 2024 03:00
URI:	https://irep.ntu.ac.uk/id/eprint/50576

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