Employing AI in Modeling and Designing Industrial Products
DOI:
https://doi.org/10.51173/ijaa.v2i1.64Keywords:
Artificial Intelligence; Generative Design; Industrial Product Modeling; CAD Automation; 3D Geometry Optimization.Abstract
The current research paper explores how artificial intelligence (AI) can be used to model and design three-dimensional (3D) industrial products, namely comparing the AI-based design approaches with the traditional computer-aided design (CAD) models. A smart electric kettle is chosen as a representative industrial product during the study because it uses a descriptive-analytical and comparative research design to evaluate the differences in the development of the form, efficiency of the workflow, integration of functions, and ease of use. It has been found that the conventional CAD modelling is linear and constraint based, which ensures that it is geometrically accurate and manufacturable, but limits the speed of exploring other forms. on the other hand, AI-based and generative design tools allow better continuity of surfaces, integration of components and faster development of iterative production due to automatic optimization and reduced human input. The results indicate that AI-supported processes are more flexible and creative exploration, particularly in the initial design phases, and help to make processes more ergonomic and functional. However, the research finds that there are significant limitations that are inherent to AI-based design such as a tendency to over-optimal geometries that can undermine manufacturing viability. The findings indicate that the most successful AI application to industrial design should be a hybrid system that combines the exploratory and optimization features of AI with the structural control and realism of traditional CAD systems. The study is a contribution to the growing body of knowledge of AI-based industrial design, as it provides a practical, product-level comparative study.
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