Research Information System
2025 11th International Conference on Control, Decision and Information Technologies (CoDIT), Split, Croatia, 15 - 18 July 2025, pp.149-156, (Full Text)
This study presents an integrated approach to the parametric modeling and structural optimization of mechanical components, emphasizing assembly compatibility and failure risk minimization. The parametric modeling is conducted in CAD software, leveraging its robust CAD capabilities to create flexible, parameter-driven component designs. Finite element analysis (FEA) and multi-objective optimization are performed in MATLAB, utilizing its computational power to evaluate and enhance the mechanical performance of the components. A seamless communication framework between CAD software and MATLAB is established to enable an iterative optimization cycle. The optimization process aims to minimize natural frequency deviations, stress, strain and deformation, while ensuring that the components adhere to strict assembly constraints and maintain structural integrity. This methodology demonstrates an efficient workflow for designing mechanically optimized components that meet both functional and assembly requirements. Unlike previous studies that address structural performance and assembly constraints separately, this work explicitly integrates both within a unified optimization loop, providing a practical and scalable solution for real-world shaft design problems. The proposed framework is validated through case studies, showcasing its effectiveness in improving performance and reducing failure risks in mechanical systems.