Statistical model to predict dry sliding wear behaviour of Aluminium-Jute bast ash particulate composite produced by stir-casting
A model to predict the dry sliding wear behaviour of Aluminium-Jute bast ashparticulate composites produced by double stir-casting method was developed in termsof weight fraction of jute bast ash (JBA). Experiments were designed on the basis ofthe Design of Experiments (DOE) technique. A 2k factorial, where k is the number ofvariables, with central composite second-order rotatable design was used to improvethe reliability of results and to reduce the size of experimentation without loss ofacc...
Abrasive wear behaviour of Al-Cu-Mg/palm kernel shell ash particulate composite
This paper presents a systematic approach to develop a wear model of Al-Cu-Mg/Palmkernel shell ash particulate composites (PKSAp) produced by double stir -castingmethod. Four factors, five levels, central composite, rotatable design matrix was usedto 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 mathematicalmodel....