Researchers at the Hong Kong University of Science and Technology have used graphene to develop a new 3D printer that can make food layer by layer as it prints, using artificial intelligence (AI) to design complex edible structures. This integrated system combines precision infrared heating with AI-driven design tools to address key limitations in automated food production: maintaining food safety during printing and creating intricate shapes without requiring technical expertise.
a). The step-by-step food 3D food fabrication process of the printing and in-line cooking device. b). Design features of the integrative 3D food printer. c) The print head unit has an extrusion tubing inlet, extrusion nozzle, and heater holder. d) The external shell of the infrared heater has a cone-shaped design to converge heat transmission to the targeted printing area. e) The schematic diagram of the fabrication of the LIG infrared heater. Image from: Advanced Materials
Automated food production faces unique challenges compared to manufacturing with traditional materials like plastics or metals. Food must be heated properly to ensure safety, yet maintaining the intended shape during cooking proves difficult. Current 3D food printers operate in two separate steps - first printing cold food paste, then transferring it to an oven or fryer. This approach often leads to deformed shapes and increased contamination risks as the food moves between machines. The new system integrates these steps using a specialized infrared heater made from laser-induced graphene (LIG). This ultra-thin heating element provides precise temperature control, with printed food layers reaching 137°C on the surface and maintaining at least 105°C on the sides throughout the printing process, while using just 14 watts of power - a fraction of the 1000-2000 watts consumed by conventional ovens and air fryers.