This paper presents a systematic approach to develop a wear model of Al-Cu-Mg/Palm
kernel shell ash particulate composites (PKSAp) produced by double stir -casting
method. Four factors, five levels, central composite, rotatable design matrix was used
to optimize the number of experiments. The factors considered were sliding velocity,
sliding distance, normal load and mass fraction of PKSA reinforcement in the matrix.
Response surface methodology (RSM) was employed to develop the mathematical
model. The developed regression model was validated by statistical software MINITAB
and statistical tool such as analysis of variance (ANOVA). It was found that the
developed regression model could be effectively used to predict the wear rate at 95%
confidence level. The regression model indicated that the wear rate of cast Al-Cu-
Mg/PKSAp composite decreased with an increase in the mass fraction of PKSA and
increased with an increase of the sliding velocity, sliding distance and normal load
acting on the composite specimen.
Gambo, V. (2018). Abrasive wear behaviour of Al-Cu-Mg/palm kernel shell ash particulate composite. Afribary. Retrieved from https://afribary.com/works/abrasive-wear-behaviour-of-al-cu-mg-palm-kernel-shell-ash-particulate-composite
Gambo, Victor "Abrasive wear behaviour of Al-Cu-Mg/palm kernel shell ash particulate composite" Afribary. Afribary, 19 Dec. 2018, https://afribary.com/works/abrasive-wear-behaviour-of-al-cu-mg-palm-kernel-shell-ash-particulate-composite. Accessed 30 Apr. 2024.
Gambo, Victor . "Abrasive wear behaviour of Al-Cu-Mg/palm kernel shell ash particulate composite". Afribary, Afribary, 19 Dec. 2018. Web. 30 Apr. 2024. < https://afribary.com/works/abrasive-wear-behaviour-of-al-cu-mg-palm-kernel-shell-ash-particulate-composite >.
Gambo, Victor . "Abrasive wear behaviour of Al-Cu-Mg/palm kernel shell ash particulate composite" Afribary (2018). Accessed April 30, 2024. https://afribary.com/works/abrasive-wear-behaviour-of-al-cu-mg-palm-kernel-shell-ash-particulate-composite