In the assembly of axle and wheel hub, a nut is frequently used to fasten the two components. In order to retain the nut in final position to hold the axle assembly, crimping is a widely-used method to prevent nut from loosening. A reliable crimping process not only prevents the movement of nut during axle operation but also minimizes the possibility of cracking the rim. Nut can start to rust and deteriorate if crack exists. Service life span of the axle assembly hence shortened as a result. The quality of crimping operation is determined by the component designs, the process parameters, and the crimping tool geometry. It would be time-consuming and costly to evaluate these factors empirically; let alone the requirement of prototypes in the early stage of a new program. A dynamic finite element methodology which adopts the Arbitrary Lagrangian-Eulerian formulation from ABAQUS explicit solver is developed to simulate the complete crimping process with various process parameters and designs for possible geometry combinations. Recommendations from the analysis would serve as a foundation and guideline for the development of a reliable shaft nut crimping process in automotive industry. A strong correlation between predicted and measured crimping force was also found in this study.