A model to predict the dry sliding wear behaviour of Aluminium-Jute bast ash
particulate composites produced by double stir-casting method was developed in terms
of weight fraction of jute bast ash (JBA). Experiments were designed on the basis of
the Design of Experiments (DOE) technique. A 2k factorial, where k is the number of
variables, with central composite second-order rotatable design was used to improve
the reliability of results and to reduce the size of experimentation without loss of
accuracy. The factors considered in this study were sliding velocity, sliding distance,
normal load and mass fraction of JBA reinforcement in the matrix. The developed
regression model was validated by statistical software MINITAB-R14 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 wear rate of cast Al-JBAp composite decreased with an increase in the mass
fraction of JBA and increased with an increase of the sliding velocity, sliding distance
and normal load acting on the composite specimen.
Gambo, V. (2018). Statistical model to predict dry sliding wear behaviour of Aluminium-Jute bast ash particulate composite produced by stir-casting. Afribary. Retrieved from https://track.afribary.com/works/statistical-model-to-predict-dry-sliding-wear-behaviour-of-aluminium-jute-bast-ash-particulate-composite-produced-by-stir-casting
Gambo, Victor "Statistical model to predict dry sliding wear behaviour of Aluminium-Jute bast ash particulate composite produced by stir-casting" Afribary. Afribary, 19 Dec. 2018, https://track.afribary.com/works/statistical-model-to-predict-dry-sliding-wear-behaviour-of-aluminium-jute-bast-ash-particulate-composite-produced-by-stir-casting. Accessed 05 Nov. 2024.
Gambo, Victor . "Statistical model to predict dry sliding wear behaviour of Aluminium-Jute bast ash particulate composite produced by stir-casting". Afribary, Afribary, 19 Dec. 2018. Web. 05 Nov. 2024. < https://track.afribary.com/works/statistical-model-to-predict-dry-sliding-wear-behaviour-of-aluminium-jute-bast-ash-particulate-composite-produced-by-stir-casting >.
Gambo, Victor . "Statistical model to predict dry sliding wear behaviour of Aluminium-Jute bast ash particulate composite produced by stir-casting" Afribary (2018). Accessed November 05, 2024. https://track.afribary.com/works/statistical-model-to-predict-dry-sliding-wear-behaviour-of-aluminium-jute-bast-ash-particulate-composite-produced-by-stir-casting