Parametric design of a ball bushing using Rhino 3D Grasshopper and artificial intelligence

This study investigates how Rhino 3D Grasshopper, a visual programming-based CAD tool, can be utilized for the parametric modeling of ball bushings, which are critical components in mechanical design. The aim of this research is to develop a customizable and adaptable design framework using Rhino 3D Grasshopper and Artificial Intelligence (AI)-based optimization techniques. Traditional parametric design methods often require advanced programming knowledge, which limits accessibility for engineers without coding skills. Grasshopper's node-based graphical interface simplifies the parametric modeling process by enabling the visual definition of geometry, constraints, and design rules. The study begins with a literature review, examining current parametric design methodologies and CAD tools. Following this, a comprehensive ball bushing model will be developed, incorporating design parameters such as geometric variations, material properties, and mechanical constraints. Additionally, the flexibility and efficiency of the model will be enhanced using Grasshopper's Python interface. Finally a comparison will be made with traditional CAD modeling techniques, particularly PTC Creo-based ball bushing designs. The comparison process will focus on design flexibility, time efficiency, and optimization capabilities. The findings reveal that Rhino 3D Grasshopper offers a robust parametric design platform for mechanical engineering, providing significant advantages in terms of modularity, real-time modifications, and computational efficiency.