Unveiling an additively manufactured open hardware pin-on-disc tribometer considering its high reproducibility

Titelangaben

Orgeldinger, Christian ; Rosnitschek, Tobias ; Tremmel, Stephan:
Unveiling an additively manufactured open hardware pin-on-disc tribometer considering its high reproducibility.
In: Wear. Bd. 552-553 (2024) . - 205437.
ISSN 0043-1648
DOI der Verlagsversion: https://doi.org/10.1016/j.wear.2024.205437

Volltext

	Format: PDF Name: 1-s2.0-S0043164824002023-main.pdf Version: Veröffentlichte Version Verfügbar mit der Lizenz Creative Commons BY-NC 4.0: Namensnennung, nicht kommerziell
	Download (4MB)

Abstract

In recent years, the aspects of energy efficiency and durability have become increasingly important in the development of technical systems. From a tribological point of view, these are often linked to the reduction of wear and friction. When testing new materials, coating systems or lubricants, the underlying mechanisms and physical relationships are investigated by the deployment of simplified model tests. Advanced commercial test rigs allow high-resolution measurement of important friction and wear parameters, but also entail a considerable cost and thus a certain entry barrier to deal further with tribological aspects. In many research projects, therefore, self-developed test rigs are used, which at the same time, however, makes comparability and reproducibility with other systems considerably more difficult. For this reason, we have developed a pin-on-disc tribometer based on the open hardware approach, which can be completely additively manufactured by fused filament fabrication. In addition to presenting the customizable measurement system, we investigated the measurement capability using 50 repeated measurements on two different tribological test systems. The reproducibility of the measured values was 0.4 % and 1.1 % for friction and 0.6 % and 1.0 % for wear and was thus considerably lower than the standard deviation in the tests on a single tribometer, which was up to 7.7 % and 16.1 % for friction and wear, respectively. So, the presented tribometer can be used, for example, to perform high throughput tests and thus to detect systematic correlations, e.g., in combination with machine learning approaches. Another area of application is training and education of students and professionals.