Análise de variação dimensional na montagem automotiva utilizando simulação de Monte Carlo: estudo de caso

Abstract

This study presents an analysis of dimensional variation in automotive assembly using Monte Carlo simulation as a statistical prediction tool. The research investigates the impact of individual component tolerances on the final assembly variation of automotive side panels, assessing their influence on perceived product quality. To achieve this, a three-dimensional model of a fictitious automotive side panel was developed, with geometric tolerances applied based on industry standards. Monte Carlo simulations were performed to predict the dimensional dispersion of gaps and flushs, identifying the most critical tolerances affecting the assembly process. Additionally, the matrix analysis and optimization of the 3DCS software was used to propose tolerance adjustments based on cost factors, aiming to balance quality and economic feasibility. The results demonstrated that the proper definition of datums, tolerances, and assembly strategies significantly impacts the dimensional robustness of the product. This study highlights the importance of using Computer-Aided Tolerancing software in automotive product development, providing a more accurate approach to decision-making in dimensional.