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Analysis of the visually detectable wear progress on ball screws

Schlagenhauf, Tobias 1; Scheurenbrand, Tim; Hofmann, Dennis; Krasnikow, Oleg
1 Institut für Produktionstechnik (WBK), Karlsruher Institut für Technologie (KIT)


The actual progression of pitting on ball screw drive spindles is not well known since previous studies have only relied on the investigation of indirect wear effects (e. g. temperature, motor current, structure-borne noise). Using images from a camera system for ball screw drives, this paper elaborates on the visual analysis of pitting itself. Due to its direct, condition-based assessment of the wear state, an image-based approach offers several advantages, such as: Good interpretability, low influence of environmental conditions, and high spatial resolution. The study presented in this paper is based on a dataset containing the entire wear progression from original condition to component failure of ten ball screw drive spindles. The dataset is being analyzed regarding the following parameters: Axial length, tangential length, and surface area of each pit, the total number of pits, and the time of initial visual appearance of each pit. The results provide evidence that wear development can be quantified based on visual wear characteristics. In addition, using the dedicated camera system, the actual course of the growth curve of individual pits can be captured during machine operation. ... mehr

Volltext §
DOI: 10.5445/IR/1000153454
Veröffentlicht am 02.12.2022
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Produktionstechnik (WBK)
Publikationstyp Forschungsbericht/Preprint
Publikationsjahr 2022
Sprache Englisch
Identifikator KITopen-ID: 1000153454
Umfang 11 S.
Vorab online veröffentlicht am 02.05.2022
Schlagwörter Ball Screw Drives, Condition-based Maintenance, Pitting, Wear Progress, Standards-based Wear Quantification, Computer Vision
Nachgewiesen in arXiv
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