Researchers at Pohang University of Science and Technology (POSTECH) have developed a simulation technology to predict and analyze defects in metal additive manufacturing processes.
A research team at POSTECH has successfully developed a simulation technology designed to predict and analyze defects that can occur during metal additive manufacturing. This breakthrough aims to enhance the quality and reliability of metal parts produced through 3D printing.
The developed simulation technology can predict potential issues such as cracking and porosity, which are common challenges in metal AM. By accurately simulating the complex thermal and mechanical processes involved in metal printing, the system provides insights into the root causes of these defects.
This technology is expected to significantly reduce the need for trial-and-error in the manufacturing process, thereby saving time and resources. It allows for the optimization of printing parameters before actual production begins, leading to higher quality parts and a more efficient manufacturing workflow.
The POSTECH team's work represents a significant step forward in the field of metal additive manufacturing, offering a powerful tool for engineers and manufacturers to achieve greater precision and consistency in their 3D printed metal components.
This simulation technology addresses critical challenges in metal AM by predicting defects like cracking and porosity. By enabling pre-production optimization, it enhances part quality and reduces waste, accelerating the adoption of metal AM for high-value applications. This aligns with the broader industry push for reliable and efficient additive manufacturing processes, crucial for sectors like aerospace and automotive.
Edited by the news editor with AI and translated into English from the original report — please refer to the original source.