Comparative research of 3D printer main control parameters and characteristics utilising Klipper firmware

Volodymyr Nazarenko, Bohdan Ostroushko
Abstract

3D printing is replacing traditional machine design methods, providing manufacturers with flexibility, ease of operation, and the ability to adjust process parameters in real-time. This study focused on determining the print speed to produce high-quality models in two scenarios: without Klipper firmware and using Klipper firmware for control parameters during printing. The 3D printer used in study used a Creality Ender 3 V3 SE printer with two sample 3D models. The authors conducted the testing process with three presets of print speed: medium speed, above-average speed, and maximum possible speed (maximum print speed 345 mm/s; above-average speed 180 mm/s; average 150 mm/s). As a result of the study, it was found that the most critical problem is that the stepper motor only sometimes has time to move the table by the required number of steps. The standard acceleration values were set at the level the original equipment manufacturer recommended, and the optimal printing speed was up to 120 mm/s. During the experiments, the standard acceleration values were increased, which showed positive changes and led to better print quality and stability of this process. It has been determined that it is best to keep the default settings and settings in the case of a standard (ready-to-pack) printer, as the printer will not be able to print faster due to its hardware limitations. In contrast, special hardware firmware can help dynamically adjust print parameters while maintaining maximum quality and optimising job performance. The study results can be used in industrial production to optimise 3D printing processes, improve product quality, and reduce manufacturing costs

Keywords

printing technologies, embedded systems, automated systems, iterative system evaluation, control systems

Suggested citation
Nazarenko, V., & Ostroushko, B. (2025). Comparative research of 3D printer main control parameters and characteristics utilising Klipper firmware. Machinery & Energetics, 16(1), 81-90. https://doi.org/10.31548/machinery/1.2025.81
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