KIMS and Max Planck Develop AI Model for Predicting Defects in 3D Printed Metal Parts
A research team led by Dr. Jeong Min Park at KIMS, in collaboration with Dr. Jaemin Wang and Prof. Dierk Raabe from Max Planck Institute, has created an AI model that evaluates internal defects in 3D printed metal parts. This advancement aims to enhance the reliability of additive manufacturing in industrial applications by predicting defects based on morphological characteristics. The research is supported by various programs and published in Acta Materialia.
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Dr. Jeong Min Park's team at KIMS, alongside Dr. Jaemin Wang and Prof.
Dierk Raabe from Max Planck Institute, developed an AI model that predicts internal defects in 3D printed metal parts. This model, utilizing Explainable AI, systematically analyzes relationships between additive manufacturing conditions, defect morphology, and mechanical performance.
By assessing various materials including steel, aluminum alloys, and titanium alloys, the model correlates defect characteristics with mechanical properties. This technology is expected to improve quality reliability and efficiency in industries such as aerospace and defense. The research, supported by multiple funding programs, was published in Acta Materialia on January 1, 2026.
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