Browsing by Author "Ogedengbe, T. I."

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    Optimization of process parameters during the manufacturing of brake friction lining from coconut/palm kernel/periwinkle shells composite using SN ratio and entropy-TOPSIS techniques
    (Oum-El-Bouaghi University, 2022) Columbus, E. D.; Ogedengbe, T. I.
    This study established the optimum process parameters for manufacturing brake friction lining (BFL) from coconut shells (CNS), palm kernel shell (PKS) and periwinkle shells (PWS) composites. Optimization was achieved in respect of the performance metrics (coefficient of friction, wear rate and hardness) using Signal-to-Noise (SN) ratio and Entropy and Technique for the Ordered Preference by Similarity to the Ideal Solution (Entropy-TOPSIS). The optimum parameters obtained using SN ratio and Entropy-TOPSIS method were compared and are respectively 29 MPa and 29 MPa (molding-pressure), 120°C and 140°C (molding-temperature), 6 and 6 minutes (curing-time) and 2 hr. and 3 hr. (heat-treatment-time). ANOVA using Minitab 21.1.0.0 reveals the effect of the molding pressure and the curing time on the synergized performance metric as statistically significant at α = 0.05 with total contribution of 94.44%. Comparatively, the significant parameters values were unaltered in both methods of optimization. Therefore, it is concluded that any of the optimum parameter values obtained using either the SN ratio approach or the Entropy-TOPSIS method can safely be used for producing BFL of different composition of CNS, PKS and PWS.