Journal of Product Design, Quality Engineering & Technology ISSN: 3139-2008 (Online)

Abstract

Generative design, driven by Artificial Intelligence (AI), is transforming the way engineers and designers approach product development. Unlike traditional design methodologies, AI-driven generative product design leverages computational intelligence, machine learning, and optimization algorithms to automatically generate innovative design alternatives that meet specified performance, cost, and manufacturability constraints. This paper provides a comprehensive review of AI-based generative design, covering its methodologies, applications in mechanical, industrial, and consumer product design, as well as its challenges and future prospects. Furthermore, it explores integration with additive manufacturing, sustainable design practices, and collaborative design environments. Case studies and recent advances demonstrate the transformative potential of AI-driven generative design in reducing design cycles, enhancing creativity, and improving overall product performance.

Keywords: Generative Design, AI in Product Design, Machine Learning, Optimization, Additive Manufacturing, Computational Creativity