Bir Kaymalı Yatak Malzemesinin Kuru Ortam Abrazif Aşınma Davranışının Deneysel Olarak İncelenmesi

Bu çalışmada, abrazif aşınma konusunda etkili parametreler olan yük ve kayma hızı gibi değişkenler kullanılarak yatak malzemesinde meydana gelen aşınma miktarları, deney şartlarına göre sürtünme katsayıları ve iz derinliği değerleri belirlenmiştir. Ball-on-flat deney düzeneğinde gerçekleştirilen deneyler sonucunda yapılan varyans analizi sonuçlarına göre tüm çıktılar için en etkili parametre yük değeri olup kütle kaybı için etki oranı %66,261, sürtünme katsayısı için etki oranı %53,021 ve iz derinliği için etki oranı ise %85,688 olarak bulunmuştur. Deneysel sonuçların regresyon sonuçları ile mukayesesinden elde edilen R2 değerleri ise kütle kaybı, sürtünme katsayısı ve iz derinliği için sırası ile 0,9750, 0,9988 ve 0,9759 olarak bulunmuştur. Bu sonuçlar regresyon model uyumunun iyi olduğunu göstermektedir.

Anahtar Kelimeler:

Abrazif aşınma, Kuru sürtünme, Yatak malzemesi, ANOVA metodu

Experimental Investigation of Dry Environment Abrasive Wear Behavior of a Plain Bearing Material

In this study, using variables such as load and sliding speed, which are effective parameters on abrasive wear, the amount of wear on the bearing material, friction coefficients, and trace depth values according to the experimental conditions were determined. According to the results of the analysis of variance performed as a result of the experiments carried out in the ball-on-flat experimental setup, the most effective parameter for all outputs was the load value, and the effect ratio for mass loss was 66.26%, the effect ratio for the friction coefficient was 53.02% and the effect ratio for the trace depth was 85.69%. The R2 values obtained from the comparison of the experimental results with the regression results were found to be 0.9750, 0.9988, and 0.9759 for mass loss, friction coefficient, and trace depth, respectively. These results show that the regression model fit is good.

Keywords:

Abrasive wear, dry sliding, bearing material, ANOVA,

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