20.500.12556/RUL-179442 Image-based monitoring of material emissions for wear characterization of laminated polymer composite gears This work presents a computer vision image-based methodology for quantitative wear particle diagnostics in polymer composite gear systems. Conventional monitoring techniques typically provide limited information on the morphology and size distribution of the particles, restricting their diagnostic capability. In this study, optical microscopy is combined with computer vision image-based algorithms to characterize particles resulting from gear wear. Inspection at magnification captured approximately 70 % of the microplastic range, while complementary SEM analysis at confirmed extended diagnostic capability at sub-micrometer scales. The circularity and aspect ratio of particles proved to be important indicators of wear stages, while the size of the particles remained consistent regardless of the torque applied. Approximately 80 % of the worn out volume was found consistently represented by 10–50 particles. The developed methodology provides reproducible and quantitative insights into gear wear stages that are not accessible through conventional monitoring. The results demonstrate potential for improved monitoring and reliable failure prediction in polymer composite tribosystems. wear gears composites microplastics particles image analysis kompozitni zobniki obraba zobniki kompoziti mikroplastika delci analiza slik true false true Angleški jezik Slovenski jezik Članek v reviji 2026-02-13 13:03:18 2026-02-13 13:03:23 2026-02-14 04:24:44 0000-00-00 00:00:00 2026 0 0 10 str. Vol. 590, art. 206563 2026 0000-00-00 Zaloznikova Objavljeno apc 0000-00-00 0000-00-00 0000-00-00 621.833:620.17:004.932 0043-1648 10.1016/j.wear.2026.206563 268425219 Durjava_..._Image-based_monitoring...pdf Durjava_..._Image-based_monitoring...pdf 1 CB8DBA3E58010152EA5C80E0B547EDA9 db6947b1e9f87ee99b6e5b761ae0b65cb7800e1ee011621e5cfc18c53d08fe09 33e510aa-08d4-11f1-a1ba-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=227960 https://www.sciencedirect.com/science/article/pii/S0043164826000530#d1e1466 1 d328b36c-08d3-11f1-a1ba-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=227959 Fakulteta za strojništvo 0 0 0