According to Chosunbiz, the South Korean researchers have successfully developed a 3D printing module that can be connected to the existing factory equipment and use artificial intelligence technology (AI) to carry out intelligent production. This module can automatically detect production defects and optimize production conditions, becoming an important tool for traditional manufacturing to evolve towards intelligence. The study was led by Yoo Se-Hoon and Lee Ho-Jin, senior researchers at Korea Institute of Industrial Technology (Kitech).
This system is called “Metal 3D Printing Defect Detection and Active Control Technology” and can be easily installed by adding “additional modules” to the old production equipment without AI capacities. The module incorporates sensors, defect detection functions and intelligent control components, so that old devices can also adapt quickly to intelligent production needs. With this module, companies can upgrade traditional factories to intelligent factories powered by AI without eliminating or replacing existing equipment.
The research team has chosen the 3D Direct Energy Deposit (DED) printing technology as a test scenario. This process requires extremely high precision of the laser output, the movement speed and powdered power, and slight errors can cause printing defects. The additional module can monitor anomalies in real time during printing and emit an alarm via the display. In addition, the module can automatically adjust the print settings to solve the problem, reducing the time required to adjust the device and find the best printing conditions. This technology is particularly suitable for small and medium -sized manufacturing companies that lack equipment or professional technicians.
Currently, this technology has been transferred to two Korean companies – Mr. Tech and Dico, and has entered the marketing phase. “This technology uses in -depth learning algorithms to detect various stacking defects in the real -time printing process and actively regulate the operating status of the equipment. At the same time, it can also be used to create digital Twin models to provide a virtualization support for the production process, with a deep impact in the future.”
Moon Chang-Kyu, head of Mr Tech, added: “This technology can also be extended to production-based production processes, and we accelerate the marketing of fed 3D 3D printing technology.”
Dico CEO Huang Junzhe stressed: “The module has important advantages in temperature collection and management during production via video systems.”
This innovative technology not only fills the gap between traditional equipment and modern AI technology, but also offers manufacturing companies a low -cost and high -performance intelligent processing path. Thanks to modular design, companies can meet in a flexible way to different production needs while improving market competitiveness. While this technology gradually enters the marketing phase, its large perspectives of application in aerospace, medical devices, the manufacture of cars and other fields are eagerly awaited.
