A method for constructing a hot processing map for a metallic material

By collecting data from cylindrical metal samples, constructing a nonlinear mapping kernel function and a strain rate sensitivity field, and combining it with the Lyapunov stability criterion, the problem of difficulty in identifying thermal processing diagram distortion and rheological instability in traditional methods was solved, enabling precise processing of metallic materials under complex thermal deformation conditions.

CN122369746APending Publication Date: 2026-07-10SHENZHEN MINGSCHIN IND MATERIAL
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Patent Information

Application Number
CN202610592747.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-30
Publication Date
2026-07-10

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Abstract

This invention relates to the field of materials data modeling technology, specifically to a method for constructing a thermal processing map for metallic materials. The method includes the following steps: calculating the true stress-strain sequence; fitting the true stress-strain sequence to a continuously differentiable three-dimensional rheological response surface based on a radial basis function network; performing analytical differentiation on the three-dimensional rheological response surface to extract global strain rate sensitivity field data; calculating the power dissipation efficiency matrix and rheological instability judgment parameters based on the strain rate sensitivity field data; and then generating a thermal processing map. In this invention, by establishing a continuously responding surface model based on global optimization and using analytical derivative solutions to replace the traditional differential calculation of discrete data, the numerical oscillation phenomenon caused by experimental noise is effectively eliminated, ensuring thermodynamic consistency in the constitutive relation calculation process, significantly improving the geometric accuracy of the power dissipation efficiency contour lines, and achieving accurate prediction of the safe processing window for metallic materials under complex thermal deformation conditions.
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