In order to improve the properties of aluminum and its alloys, various solutions have been considered. In this regard, the use of solid-state processes such as FSP to create surface composite is very suitable. Hence, considering the FSP ability as a thermo-mechanical process and its advantages in the production of surface composite, in the present study, the Al7075 surface composites with the use of reinforcing particles (Al2O3) were produced in accordance with the DOE principles. To this end, the RSM was selected as the experiment design technique. So, the factors such as: tool rotational speed, tool feed rate, tool shoulder diameter, and reinforcing particle size were identified as the input variables. Then, statistical analysis of variables affecting the mechanical properties of surface composite Al7075/Al2O3 was performed. The obtained results from ANOVA and regression analysis of experimental data, confirmed the accuracy of regression equations. Furthermore, it is shown that the linear, interactional and quadratic terms of the input variables are effective on the yield strength and hardness of the composite samples. Also, the tool feed rate and the reinforcing particle size were introduced as the most effective linear factors on the yield strength and hardness of the composite components, respectively.