DF 2023: AIGC-driven design and manufacturing(PIX Moving).

The project explores the intersection of advanced algorithms and design innovation through an AIGC-driven customized ring design system. Historically, the Industrial Revolution marked a transition from handcrafted products to mass production using standardized molds, resulting in a top-down manufacturing approach where users had limited control over product outcomes. However, the ongoing information revolution has replaced traditional molds with algorithms, enabling high levels of customization and user-driven design processes. This shift empowers individuals to actively shape their products, fostering a decentralized and efficient design methodology. The customized ring design algorithm consists of three primary stages. First, neural radiance field (NeRF) reconstruction technology is employed to scan and reconstruct hand models. This approach allows users to virtually "select their finger" for an accurately fitting ring. Next, users contribute a personalized audio message, which is processed by generative algorithms to influence the ring's fundamental shape. The system extracts meaningful parameters from the voice input, translating them into unique design patterns. Finally, users are offered a selection of pre-defined ring styles, and the final design is brought to life through precision 3D printing technology. The technical workflow begins with hand model reconstruction using instant-ngp to generate a detailed mesh grid. The mesh is then optimized and simplified using MeshLab software, streamlining the model for further processing. Afterward, the refined model is imported into Rhino software, where the triangular mesh is converted into a quadrilateral mesh to achieve a smoother surface. To ensure the perfect fit, the model undergoes contour segmentation, enabling the identification of the largest cross-sectional radius. The minimum radius of the generated ring must exceed the finger's maximum cross-sectional radius for a proper fit. A reference plane is then established, serving as the foundation for creating the ring's volumetric geometry. The final stage integrates sound as a design parameter. Grasshopper, a visual programming plugin for Rhino, is used to extract key audio data and dynamically map it onto the ring's form in real-time. This allows users to witness the transformation of the ring's structure directly influenced by their voice input. The result is an intricate, personalized design that embodies both the emotional and functional aspects of the user's contribution. This design system represents a convergence of computational design, user participation, and advanced manufacturing techniques. It not only democratizes the design process but also highlights the potential of artificial intelligence and generative algorithms in creating deeply personal and meaningful products. Through this approach, traditional boundaries between creators and users are dissolved, paving the way for a new era of collaborative, algorithm-driven design innovation.