KNOWLEDGE-BASED PARAMETRIC MODELING FOR MECHANICAL COMPONENTS

Abstract

Knowledge-Based Parametric Modeling plays an important role in modern manufacturing industries by reducing design time, improving flexibility, and supporting mass customization. Traditional CAD modeling methods require repeated manual modifications whenever component dimensions or operating conditions change, which increases design complexity and development time. To overcome these limitations, this project presents the development of a Knowledge-Based System (KBS) for parametric modeling of mechanical components such as fasteners and bearings. The system integrates design knowledge, database management, and CAD automation to generate accurate three-dimensional component models automatically based on user requirements. The developed KBS uses Visual Basic as the graphical user interface, MS Access as the database management system, and SolidWorks as the CAD modeling software. Macros are created in SolidWorks to automate the generation of CAD models for bolts, nuts, and bearings. The user provides design parameters such as dimensions, loads, speed, and expected life through the GUI, and the system retrieves the required data from the database to generate the corresponding component model automatically. The project also includes bearing selection based on standard design equations and loading conditions. The developed system successfully supports multiple types of bolts, nuts, and bearings under different loading conditions. The proposed KBS reduces manual calculations, minimizes design modification time, improves modeling accuracy, and enhances productivity. The project demonstrates that integrating Knowledge-Based Systems with Parametric Modeling and CAD automation significantly improves intelligent mechanical component design and supports rapid product development in manufacturing industries.