Prediction, Optimization and Production of the Performance Indicators of an Improved Locally Produced Hybrid Brake Pad

Mechanical Engineering

In order to improve and enhance the production of automotive brake pad for better friction reduction, the materials that are practically made of reinforced composites should possess optimum physical and mechanical properties. These properties which consist of minimum wear rate, higher coefficient of friction, higher porosity and adequate surface hardness expected to produce optimal values. This study focused on the prediction and optimization of performance indicators of a locally made hybrid brake pad. Combinations of coconut shell, boron dust and corn husks were used as filler materials; phenolic resin as a binder; graphite as lubricant; silicon carbide plus copper as abrasives. During experimental studies, surface hardness (SH), specific wear rate (SWR) and porosity (P) was also measured. Optimization tools such as Design Expert, MINITAB, and SPSS were used for optimum material selection and process analysis. Also, responses’ reduction efficiency were obtained at P 18.792%, SH 78.220hr/s and SWR 15.510×〖10〗^(-6) NM^(-3)/Nm. The reduction efficiency was predicted based on desirability function of 0.781. The reinforced composites produced a relative density of 1.17g/cm^3 and the mixtures were specifically measured in proportions. Accuracy measurements gave the value of MAPE for the model as 33.1403, MAD (0.053) and MSD (0.004).

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