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Neutron imaging for metallurgical characteristics of iron products manufactured with ancient Korean iron making techniques

  • Cho, Sungmo (Department of Cultural Heritage Conservation Science, Kongju National University) ;
  • Kim, Jongyul (Quantum Beam Science Division, Korea Atomic Energy Research Institute) ;
  • Kim, TaeJoo (Quantum Beam Science Division, Korea Atomic Energy Research Institute) ;
  • Sato, Hirotaka (Faculty of Engineering, Hokkaido University) ;
  • Huh, Ilkwon (Conservation Science Laboratory, Jinju National Museum) ;
  • Cho, Namchul (Department of Cultural Heritage Conservation Science, Kongju National University)
  • 투고 : 2020.06.26
  • 심사 : 2020.11.04
  • 발행 : 2021.05.25

초록

This paper demonstrates the possible nondestructive analysis of iron artifacts' metallurgical characteristics using neutron imaging. Ancient kingdoms of the Korean Peninsula used a direct smelting process for ore smelting and iron bloom production; however, the use of iron blooms was difficult because of their low strength and purity. For reinforcement, iron ingots were produced through refining and forge welding, which then underwent various processes to create different iron goods. To demonstrate the potential analysis using neutron imaging, while ensuring artifacts' safety, a sand iron ingot (SI-I) produced using ancient traditional iron making techniques and a sand iron knife (SI-K) made of SI-I were selected. SI-I was cut into 9 cm2, whereas the entirety of SI-K was preserved for analysis. SI-I was found to have an average grain size of 3 ㎛, with observed α-Fe (ferrite) and pearlite with a body-centered cubic (BCC) lattice structure. SI-K had a grain size of 1-3 ㎛, α-Ferrite on its backside, and martensite with a body-centered tetragonal (BCT) structure on its blade. Results show that the sample's metallurgical characteristics can be identified through neutron imaging only, without losing any part of the valuable artifacts, indicating applicability to cultural artifacts requiring complete preservation.

키워드

과제정보

This work was supported by two National Research Foundation of Korea (NRF) grants funded by the Ministry of Science and ICT (No. NRF-2016M3C1B5906955) and the Korean government (No. NRF-2017M2A2A6A05017653).

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