A Method for Constructing a Grain Evolution Model of the Entire Hot Manufacturing Process of Nuclear Power Steel Based on High-Throughput Characterization and Data-Driven Approach

By employing high-throughput characterization and data-driven methods, combined with the finite element method, a full-process grain evolution model for the hot manufacturing of nuclear power steel is constructed. This solves the problem of insufficient accuracy in existing grain evolution models, achieves comprehensive consideration of the influence of multiple processes, improves the accuracy and practicality of the model, provides an active control strategy for abnormal grains, and enhances the safety and reliability of nuclear power equipment.

CN119885591BActive Publication Date: 2025-10-31YANSHAN UNIV
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Patent Information

Application Number
CN202411915135.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-12-24
Publication Date
2025-10-31
Estimated Expiration
2044-12-24

AI Technical Summary

Technical Problem

Existing technologies cannot fully consider the coupling effect of thermal deformation and heat treatment processes, and lack comprehensive analysis of grain topology parameters and micro-region energy parameters, resulting in insufficient accuracy of grain evolution models and difficulty in reflecting the complexity of actual production.

Method used

Using high-throughput characterization and data-driven methods, we designed high-throughput grain configuration samples for global microstructure characterization, constructed a full-process grain evolution model for the hot manufacturing of nuclear power steel, and combined rigid-visco-plastic finite element method and crystal plastic finite element method to perform cross-scale multi-physics modeling, and established a data-driven model to predict grain configuration relationships.

Benefits of technology

It achieves comprehensive consideration of the impact of multiple processes, improves the accuracy and practicality of the grain evolution model, provides accurate quantitative prediction and active control of abnormal grains for the thermal manufacturing process of nuclear power steel, breaks through the process control bottleneck of grain size and uniformity, and improves the safety and reliability of nuclear power equipment.

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Abstract

This invention proposes a method for constructing a grain evolution model for the entire hot manufacturing process of nuclear power steel based on high-throughput characterization and data-driven approaches. By designing samples with high-throughput grain configurations and performing full-domain high-throughput microstructural characterization, massive amounts of crystallographic information on micro-region structures are obtained, providing parameterized expressions suitable for describing each grain configuration. Through cross-scale multiphysics modeling using rigid-visco-plastic finite element method and crystal plastic finite element method, the distribution law and quantitative description of deformation energy storage in each micro-region of large-size nuclear power austenitic steel under different hot deformation process conditions are investigated. A data-driven model of the relationship between hot deformation, deformation energy storage, and solid solution grain configuration in nuclear power austenitic steel is constructed, forming an active control strategy and method for controlling coarse / mixed grains in nuclear power austenitic steel. This invention can provide theoretical and methodological support for accurate quantitative prediction of grain evolution and active control of abnormal grains throughout the entire hot manufacturing process of key nuclear power components.
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