Magnesium alloy composite material performance evaluation method and system based on big data

By constructing the microstructure finite element model and state influence factor of magnesium alloy composite materials, combined with deviation analysis and model optimization, the problem of time-consuming and labor-intensive and difficult to fully reflect material performance evaluation methods is solved, and efficient and accurate evaluation of the performance of magnesium alloy composite materials is achieved.

CN119724441AInactive Publication Date: 2025-03-28TAIYUAN INST OF TECH
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Patent Information

Application Number
CN202411776401.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-05
Publication Date
2025-03-28
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Traditional magnesium alloy performance evaluation methods are time-consuming and labor-intensive, and it is difficult to fully reflect material performance. The big data-based method has not yet integrated the microstructure and macro performance of the material.

Method used

By obtaining test data and state data of magnesium alloy composite materials, performing pre-processing and finite element simulation, a finite element model of microstructure is constructed to predict macroscopic material properties, combining state impact factors and deviation analysis, a performance evaluation model is constructed and optimized to achieve accurate evaluation.

Benefits of technology

It improves the efficiency and accuracy of performance evaluation of magnesium alloy composite materials, enhances model adaptability, and provides a scientific basis to improve the research, development, production and application of magnesium alloy composite materials.

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Abstract

The invention discloses a magnesium alloy composite material performance evaluation method and system based on big data, and the method comprises the steps: obtaining the test data and state data of a magnesium alloy composite material, constructing a microstructure finite element model according to the component test data, predicting the macroscopic material attribute, determining a state impact factor according to the state data, and evaluating the performance of the magnesium alloy composite material. Correcting the macroscopic material attribute by the state influence factor to obtain a first material attribute, performing multi-physics field finite element simulation to obtain performance simulation data, performing deviation analysis to obtain a deviation coefficient, constructing a magnesium alloy composite material performance evaluation model, and optimizing the magnesium alloy composite material performance evaluation model according to a performance error to obtain a magnesium alloy composite material performance evaluation model. And inputting the test data and the state data of the to-be-evaluated magnesium alloy composite material into the optimized magnesium alloy composite material performance evaluation model to obtain a magnesium alloy performance evaluation result. The method not only can improve the efficiency and accuracy of performance evaluation of the magnesium alloy composite material, but also has good interpretability, and can be applied to performance evaluation of the magnesium alloy composite material.
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