Metal forming as a manufacturing subset plays a major role in metal components manufacturing. In the present scenario, most industries focus on microcomponents, i.e. for microelectronic and UAV (unmanned aerial vehicle) applications. The cost of manufacturing and selecting optimum process parameters is a tedious and cumbersome process. In order to overcome the difficulties, the simulation and analysis at the micro-level are conducted in the present study. The NEPER is a polycrystal generation tool extensively used to generate grain structure in the workpiece, i.e. 3D Voronoi Tessellations. A Python code is used to export the workpiece into the ABAQUS Explicit. The ABAQUS simulations are performed to obtain the optimum results. The experimental simulations are conducted based on the L9 orthogonal array. The input parameters considered are reduction %, COF (coefficient of friction), and roll speed. Output response considered for the study is the PEEQ, i.e. equivalent plastic strain. The seventh experiment is the optimal parameter combination, i.e. % reduction 30, COF 0.02, and roll speed 2.5 mm/s; i.e. higher reduction, lower COF, and higher roll speed are desirable in the present study.