Construction and automation of a 3D stress analysis system and disease identification network for iron artefacts based on metal magnetic memory, CT and finite element analysis

The project aims to get comprehensive information on stress distribution, internal fissure and defect distribution of iron artefacts,  assess the overall risk situation of iron artefacts, the distribution of risk sites and the assessment of the degree of risk, and make an early warning of the occurrence and development of the disease by combining the data of metal magnetic memory, CT and finite element analysis.

The project will combine a three-dimensional robotic arm with a shape-detection scanning device, develop an automatic scanning device for the detection of shapes of iron cultural relics, improve the efficiency of magnetic memory data acquisition, and facilitate the advancement of the disease identification method. 

Relying on the magnetic memory automatic detection device for iron cultural relics, different lifting heights will be set to detect the cultural relics samples with the same detection path and the magnetic gradient tensor-total gradient modulus-attenuation coefficient is obtained, which is combined with other feature parameters to establish the disease recognition network for iron cultural relics through a machine learning method. 

The magnetic memory-CT-finite element analysis technology will be used to get comprehensive information on stress distribution, internal fissure and defect distribution of iron cultural relics, to comprehensively assess the overall risk situation of iron cultural relics, the distribution of risk sites and the assessment of the degree of risk, and make an early warning of the occurrence and development of the disease. The project will establish a database to promote the application of the system in the risk assessment of iron cultural relics.