Abrasive Wear Behavior of Nano-Sized Steel Scale on Soft CuZn35Ni2 Material


Demirsoz R., Uğur A., Erdoğdu A. E., Korkmaz M. E., Gupta M. K.

Journal of Materials Engineering and Performance, cilt.32, sa.19, ss.8858-8869, 2023 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 32 Sayı: 19
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1007/s11665-022-07751-y
  • Dergi Adı: Journal of Materials Engineering and Performance
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, PASCAL, Aerospace Database, Applied Science & Technology Source, Aquatic Science & Fisheries Abstracts (ASFA), Chemical Abstracts Core, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.8858-8869
  • Anahtar Kelimeler: abrasive wear, CuZn35Ni2, lubricant, nanoscale
  • Yıldız Teknik Üniversitesi Adresli: Hayır

Özet

This study examines the abrasive wear behavior of nano-sized steel scale on the CuZn35Ni2 Soft material. CuZn35Ni2 Soft material was used as a sample, and the three-body wear mechanism formed by nanoscale particles mixed with lubricating oil was investigated using a ball-on-flat tester. Three different loads, three different sliding speeds and three different environment variables were used in the experiments. A lubricant containing 0.15 and 0.3 wt.% nanoscale and a non-abrasive lubricant was used to form the medium. The experimental results were obtained as mass loss, wear depth and friction coefficient and the wear surfaces were examined using scanning electron microscopy/energy-dispersive x-ray spectroscopy (SEM/EDX). The analysis of variance method was used to determine the effect of independent variables on the results. As a result of the study, it was concluded that the most effective parameter for mass loss and CoF was the environment, and the most effective parameter for the depth of wear was the load. It was concluded that there might be a difference of up to 10% in the coefficient of friction between the experiments and the predicted values. Still, in general, the predicted values and the experimental results agree.