Enhancement of Primary Profile Surface Quality in FFF Printing Through Vibration Monitoring and Active Control
Vibrations of the print head and structural components during 3D printing with FFF technology can significantly impact the quality of printed parts, resulting in defects such as ghosting, ringing, and geometric inaccuracies. These undesired effects are primarily caused by mechanical oscillations of the print head, build platform, and frame, induced by dynamic changes in movement speed and inertial forces within the printing mechanism. This study investigates the effectiveness of vibration compensation using an ADXL345 accelerometer to regulate the motion of the print head and build platform on the Ender 3 V2 Neo printer. The experiment consisted of three test series performed under two distinct conditions, without vibration compensation and with active compensation enabled. All tests were carried out using identical baseline printing parameters. The differences in output were evaluated through visual inspection and dimensional analysis of the printed samples. Efficient vibration monitoring and its active control, aimed at suppressing oscillatory phenomena, can enhance both geometric accuracy and surface uniformity. In FFF 3D printing, especially when utilizing increased layer heights such as 0.3 mm, surface roughness (Ra) values in the range of 18 to 25 µm are typically expected, even when optimal process parameters are applied. This study emphasizes the role of active vibration control strategies in additive manufacturing, particularly in enhancing surface quality and dimensional accuracy. The objective is not only to mitigate the adverse effects of dynamic mechanical vibrations but also to determine the extent to which surface roughness can be systematically reduced under defined conditions, such as layer height, print speed, and movement trajectory. The aim is to improve the final product quality without introducing significant compromises in process efficiency.
Authors
- Jakub Kaščák (ORCID: https://orcid.org/0000-0002-3283-8209)
- Jozef Török (ORCID: https://orcid.org/0000-0003-3652-7181)
- Peter Gabštur
- Marek Kočiško (ORCID: https://orcid.org/0000-0002-0935-4871)
Institutions
- Technical University of Košice (SK)
Publication Details
- Journal
- Applied Sciences
- Published
- 2025-10-22
- DOI
- https://doi.org/10.3390/app152111346
- Primary Topic
- Industrial Vision Systems and Defect Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission
- Agentúra na Podporu Výskumu a Vývoja
- Kultúrna a Edukacná Grantová Agentúra MŠVVaŠ SR
- Vedecká Grantová Agentúra MŠVVaŠ SR a SAV
- Interreg