Improving accuracy of dual-purpose nylon parts fabricated by fused deposition modeling

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Authors:


L. Tumarchenko*, orcid.org/0000-0001-7973-7475, National University “Zaporizhzhia Polytechnic”, Zaporizhzhia, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Ye. Vyshnepolskyi, orcid.org/0000-0002-8048-7976, National University “Zaporizhzhia Polytechnic”, Zaporizhzhia, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

D. Pavlenko, orcid.org/0000-0001-6376-2879, National University “Zaporizhzhia Polytechnic”, Zaporizhzhia, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

*Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.


повний текст / full article



Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2025, (6): 088 - 097

https://doi.org/10.33271/nvngu/2025-6/088



Abstract:



Purpose.
To analyze the dependence of the dimensional accuracy of polyamide 6 (Nylon 6, PA6) parts on the process parameters of additive manufacturing using fused deposition modeling (FDM) to ensure rapid repair of military and mining equipment in field conditions.


Methodology.
The samples were fabricated using FDM method on a Prusa i3-type 3D printer, with G-code generated via Slic3rPE software. The material used in the study was Plexiwire Nylon (PA6) Filament 1.75 mm, compliant with ISO/ASTM 52903-1:2020. The study investigated the relationship between the technological parameters of the FDM process and the dimensional accuracy of the resulting parts. The following parameters were analyzed: layer height, printing speed, extrusion temperature, bed temperature, extrusion multiplier, deposited strand width, number of shells, infill pattern, infill density and number of solid top and bottom layers. The influence of these parameters on dimensional stability was assessed by measuring the linear dimensions “a”, “b” and “c” in the respective coordinate planes “X”, “Y” and “Z”. The criterion for evaluating dimensional accuracy was the relative deviation of the measured dimensions from their nominal values. Experimental data were processed using TIBCO STATISTICA software to identify the most influential factors and the nature of their interactions.


Findings.
It was established that the extrusion multiplier, infill density and infill pattern had the greatest influence on the dimensional accuracy of the printed parts. For the “Y ” axis, the optimal parameters were extrusion multiplier of 1.1, printing speed of 40 mm/s, 100 % infill density, rectilinear infill pattern, deposited strand width of 0.49 mm, 4 shells and bed temperature of 100 °C. For the “X” and “Z” axes, the optimal parameters included an extrusion multiplier of 0.9, layer height of 0.15 mm and concentric infill pattern. Regression models were developed to predict the dimensional accuracy of parts along the three principal coordinate axes based on the selected process parameters.


Originality.
Optimal combinations of FDM printing parameters for improving the dimensional accuracy of Nylon 6 parts suitable for use in field conditions were identified. The significant role of individual parameters in determining accuracy along specific coordinate axes was demonstrated.


Practical value.
The proposed technological recommendations enable the production of functional replacement parts without the need for stationary repair facilities. This allows for the rapid repair of military and mining equipment using portable 3D printers in remote or hard-to-access locations, ensuring high dimensional accuracy, wear resistance, and functionality of the printed components.



Keywords:
fused deposition modeling, PA6, accuracy, process parameters, analysis of variance, regression analysis

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ISSN (print) 2071-2227,
ISSN (online) 2223-2362.
Journal was registered by Ministry of Justice of Ukraine.
Registration number КВ No.17742-6592PR dated April 27, 2011.

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