This present study is to progress the arithmetical model that might be utilized to determine the corrosion rate (CR) of Al-12Si-x B 4 C (x = 0, 4, and 8 wt. % of B 4 C) composites have faith in densification of the powder metallurgy throughout compaction and sintering. The acidic solutions used for corrosion is 1 N HCl, 1 N H 2 SO 4 and 1 N HNO 3 for varying plummeting time (i.e., 72, 144, and 216h) correspondingly. The hardness of the composites will rise because of the increased wt. % of B 4 C. The result indicates that with the enhancement of nanoB 4 C particles into the matrix decrease the corrosion rate respectively. The corrosion behaviour of composites was studied by SEM and corrosion rate method. As input parameters such as reinforcement, acid and time were designed by RSM design and the response parameter was corrosion rate was obtained experimentally by the corrosion rate method. The L17 orthogonal array was selected for investigating the response surface methodology (RSM) design using three factors with one replicate. RSM design was investigated for the evaluation of interactions between response parameter and input parameters. Analysis of variance was utilized to explore the influencing input factors on corrosion rate (CR). The corrosion rate specifies varying results depending on the input values of the response parameters. The outcomes revealed that all the parameters had significant effects on the corrosion rate at 95 % confidence level.