AI-Driven 3D Design on Learning

AI-Driven 3D Design on Learning

P. Selvakumar (Department of Science and Humanities, Nehru Institute of Technology, Coimbatore, India)
Copyright: © 2025 |Pages: 22
DOI: 10.4018/979-8-3693-9959-0.ch003
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Abstract

The landscape of design has been profoundly transformed particularly in realm 3D design. As industries increasingly embrace digital transformation, 3D designs not only how products are conceptualized and created but also redefine the roles of designers and engineers. This new paradigm introduces a multitude of opportunities while presenting unique challenges that must be navigated carefully. At its core, AI-driven 3D design leverages machine learning algorithms, generative design principles, and data analytics to enhance creative processes, optimize designs, and streamline workflows. One of the fundamental concepts underlying AI-driven 3D design is generative design, an alternative-specific input. Designers input constraints types, and requirements, and the AI system explores countless variations to arrive at the most efficient solutions. This method encourages innovation, enabling designers to discover forms and structures that might not be conceived through traditional methods.
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