A color prediction model for mending materials of the Yuquan Iron Pagoda in China based on machine learning
| Author(s) | Liu, Xuegang | |
| Author(s) | Liu, Yuhang | |
| Author(s) | Wang, Ke | |
| Author(s) | Zhang, Yang | |
| Author(s) | Lei, Yang | |
| Author(s) | An, Hai | |
| Author(s) | Wang, Mingqiang | |
| Author(s) | Chen, Yuqiu | |
| Date Accessioned | 2024-06-21T19:50:58Z | |
| Date Available | 2024-06-21T19:50:58Z | |
| Publication Date | 2024-06-06 | |
| Description | This article was originally published in Heritage Science. The version of record is available at: https://doi.org/10.1186/s40494-024-01295-1. © The Author(s) 2024. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/ by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. | |
| Abstract | During the restoration of iron cultural relics, the removal of rust from these artifacts is necessary. However, this rust removal process may lead to inconsistent local color on the iron relics. To address this, mending materials are applied to treat the surface, ensuring consistent local color. In the surface treatment of iron cultural relics, a significant challenge lies in modulating the color of these mending materials. The corrosion products of Yuquan Iron Pagoda are mainly Fe3O4, γ-FeO(OH), α-FeO(OH) and α-Fe2O3, with contents of 13.1, 16.1, 40.2 and 30.6%, respectively. Due to their structural stability and suitable color characteristics, Fe3O4 and α-Fe2O3 are selected as the primary raw materials for the repair material. This study employs machine learning methods to predict the color of mending materials corresponding to varying contents of α-Fe2O3, Fe3O4, and epoxy resin. The Artificial Neural Network (ANN), eXtreme Gradient Boosting (XGBoost), and Light Gradient Boost Machine (LightGBM) algorithms are utilized to develop the model, and the predictive performance of these three algorithms is compared. XGBoost exhibits the best prediction performance, achieving a square correlation coefficient (R2) of 0.94238 and a mean absolute error (MAE) of 0.68485. Additionally, the SHapley Additive exPlanations (SHAP) method is employed to analyze the most crucial raw material affecting the color of mending materials, which is identified as Fe3O4. The study illustrates the specific process of employing this model by applying it to the surface treatment of the Yuquan Iron Pagoda, demonstrating the practicality of the model. This model can be applied to assist in the surface treatment of other iron cultural relics. | |
| Sponsor | This research was supported by the Open Project of Key Scientific Research Base of the National Cultural Heritage Administration for the Protection of Unearthed Wood Lacquerware (2021H10198, 2023H10017). | |
| Citation | Liu, X., Liu, Y., Wang, K. et al. A color prediction model for mending materials of the Yuquan Iron Pagoda in China based on machine learning. Herit Sci 12, 183 (2024). https://doi.org/10.1186/s40494-024-01295-1 | |
| ISSN | 2050-7445 | |
| URL | https://udspace.udel.edu/handle/19716/34513 | |
| Language | en_US | |
| Publisher | Heritage Science | |
| dc.rights | Attribution 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| Keywords | iron pagoda | |
| Keywords | rust removal | |
| Keywords | mending materials | |
| Keywords | color prediction | |
| Keywords | machine learning | |
| Title | A color prediction model for mending materials of the Yuquan Iron Pagoda in China based on machine learning | |
| Type | Article |
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