Condition Assessment and Monitoring of Marine Ironware Based on Metal Magnetic Memory Technology: a Case Study on Iron Relics from Nanhai Ⅰ Shipwreck
GONG Zisang1,2, HU Gang1,2,*
1 School of Archaeology and Museology, Peking University, Beijing 100871, China 2 MOE Key Laboratory of Archaeological Science, Peking University, Beijing 100871, China
Abstract: To assess the preservation status of the iron relics from the Naihai I shipwreck, metal magnetic memory technology was used to conduct a 4-channel dual-component line scan on iron bar samples made of wrought steel and a 4-channel single-component surface scan on the iron pot fragment samples made of hypereutectic white cast iron. The preservation status of iron bars placed in the atmospheric environment for 3 years with and without conservation was compared. Metal magnetic memory testing results are in good agreement with the X-ray imaging results. Metal magnetic memory indicates the location of cracks and corrosion development zones and effectively detects the stress concentration zones of the marine ironware. In risk areas, the basic characteristics of magnetic memory data are as follows: (1) the tangential component reaches the extreme value, and the direction of the normal component of the magnetic field intensity changes; (2) the gradient value of the magnetic field intensity is high and exceeds four times the average value of the detected section. The quantitative assessment parameters of the degree of risk areas are as follows: (1) magnetic memory signal characteristics, such as the average value, maximum value, peak-valley value of the magnetic field intensity, and magnetic field gradient (G); (2) stress concentration coefficient m=Gmax/Gave. The larger the quantitative assessment parameters, the higher the degree of risk. Magnetic memory technology offers an early warning for the occurrence and development of diseases of iron relics, providing a convenient and effective means for the assessment and monitoring of the preservation status of ironware out of water, and the safety monitoring and effectiveness assessment of the conservation and restoration process, which provides a powerful support for the conservation of iron cultural relics.
龚梓桑, 胡钢. 基于磁记忆技术的海洋出水铁质文物状态评估与监测——以南海Ⅰ号出水铁器为例[J]. 材料导报, 2025, 39(2): 24030002-6.
GONG Zisang, HU Gang. Condition Assessment and Monitoring of Marine Ironware Based on Metal Magnetic Memory Technology: a Case Study on Iron Relics from Nanhai Ⅰ Shipwreck. Materials Reports, 2025, 39(2): 24030002-6.
1 China Academy of Cultural Heritage, National Centre for Archaeology, Guangzhou Municipal Institute of Cultural Heritage and Archaeology. Nanhai I shipwreck archaeological report No. 2: 2014-2015 excavations, Cultural Relics Press, China, 2018, pp.498 (in Chinese). 中国文化遗产研究院, 中国国家文物局水下文化遗产保护中心, 广东省文物考古研究所. 南海Ⅰ号沉船考古报告之二: 2014-2015年发掘, 文物出版社, 2018, pp.498. 2 Dubov A A. Metal Science and Heat Treatment, 1997, 39(9-10), 401. 3 Shi P P, Su S Q, Chen Z M. Journal of Nondestructive Evaluation, 2020, 39(2), 1. 4 Dubov A A, Kolokolnikov S. Weld World, 2012, 56(3-4), 11. 5 Ren J L, Song K, Wu G H, et al. Nondestructive Testing, 2002(8), 346 (in Chinese). 任吉林, 宋凯, 邬冠华, 等. 无损检测, 2002(8), 346. 6 Huang Q R, Zhang W. Nondestructive Testing Technology, 2003(2), 14 (in Chinese). 黄清荣, 张维. 无损探伤, 2003(2), 14. 7 Zhao B X, Yao K, Wu L B, et al. Applied Sciences-Basel, 2020, 10, 7083. 8 Wan S Y, Lu D L, Zheng X K, et al. In: Sixth International Conference on Measuring Technology and Mechatronics Automation. Zhangjiajie, China, 2014, pp.795. 9 Tanasienko A G, Suntsov S I, Dubov A A. Neftyanoe Khozyaistvo, 2003, 6, 90. 10 Qiu Z C, Hong L, Yao Z J, et, al. Insight, 2019, 61, 603. 11 Pang C Y, Zhou J T, Zhao R Q, et, al. Materials, 2019, 7(12), 1167. 12 Lesiak P, Bojarczak P. In: 6th International Conference Environmental Engineering. Vilnius, 2005, pp. 744. 13 Haibo X, Jianchun F, Laibin Z, et, al. Engineering Structural Integrity: Research, Development and Application, 2007, 1-2, 249. 14 Dubov A, Kolokolnikov S. Weld World, 2013, 57, 123. 15 Dubov A, Kolokolnikov S. Weld World, 2012, 56, 11. 16 Bao S, Lou H, Fu M, Materials Evaluation, 2020, 78, 1301. 17 Abarkane C, Rios-Garcia G, Gale-Lamuela D, et al. Metals, 2019, 9, 953. 18 Zhang H, Zhou J T, Zhao R Q, et al. International Journal of Robotics & Automation, 2017, 32, 530. 19 Shi P P. Chinese Journal of Theoretical and Applied Mechanics, 2021, 53(12), 3341 (in Chinese). 时朋朋. 力学学报, 2021, 53(12), 3341. 20 Shi P P, Jin K, Zhang P C, et al. IEEE Transactions on Magnetics, 2018, 54, 1. 21 Shi P P, Jin K, Zheng X. International Journal of Mechanical Sciences, 2017, 124, 229. 22 Zhang X W. Hakka Cultural Heritage Vision, 2020(1), 27 (in Chinese). 张玄微. 客家文博, 2020(1), 27.