In-situ identification and control of microstructures produced by phase transformation of a material
US-10254231-B2 · Apr 9, 2019 · US
US12359278B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12359278-B2 |
| Application number | US-202017778435-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 10, 2020 |
| Priority date | Nov 22, 2019 |
| Publication date | Jul 15, 2025 |
| Grant date | Jul 15, 2025 |
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A method and its application for regulating heat treatment derived from the in-situ collection of information. In-situ collecting information and/or data during heat treatment on a test piece, comparing the information or data with relevant information or data in a heat treatment information database, detecting or characterizing a heat treatment extent or state of the test piece, thereby optimizing a heat treatment process of the material and/or regulating the heat treatment of the test piece. The heat treatment includes homogenization, solid solution treatment, aging, recovery and recrystallization annealing. The in-situ collection is to collect information or data of the test piece in an actual heat treatment environment in real time. The heat treatment information database includes relevant information and data of material, heat treatment process, and heat treatment procedure, which can be continuously improved and optimized through subsequent detection and self-learning.
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What is claimed is: 1. A method for regulating heat treatment derived from the in-situ collection of information, comprising: continuously in-situ collecting information and data during heat treatment on a test piece, selecting characteristic points on an electrical information-time curve and an electrical information-temperature curve obtained through detection, wherein the characteristic points comprise a starting point where the curve becomes horizontal, an inflection point on the curve, a point where a slope of the curve changes, a point corresponding to a set heat treatment extent on the curve, points with a same time interval, and points with a same temperature interval, detecting material composition, microstructure and properties, and storing material information and data, heat treatment process data, and heat treatment procedure information and data in a heat treatment information database, performing information processing and data analysis, then comparing the information or data with relevant information or data in the heat treatment information database, online detecting or characterizing a heat treatment extent or state of the test piece so that the test piece achieves a set heat treatment goal and microstructure. 2. The method for regulating heat treatment derived from the in-situ collection of information according to claim 1 , wherein the heat treatment is at least one selected from the group consisting of homogenization, solid solution treatment, aging, and recrystallization annealing; and the heat treatment process comprises at least one operation selected from the group consisting of heating-up, soaking and cooling. 3. The method for regulating heat treatment derived from the in-situ collection of information according to claim 2 , wherein the method is applied to homogenization annealing, comprising determining a homogenization temperature, homogenization time, heating rate, and cooling rate, the homogenization comprising single-stage homogenization and multi-stage homogenization; the method is applied to solid solution treatment, comprising determining a proper solid solution temperature, solid solution time, heating rate, and cooling rate, the solid solution comprising single-stage solid solution and multi-stage solid solution; the method is applied to aging, comprising determining a precipitation sequence of various precipitated phases in aging and a time window of a newly precipitated phase and determining an aging time of reaching a peak strength and time points of reaching different aging extents, the aging comprising single-stage aging and multi-stage aging; or the method is applied to recovery and recrystallization annealing, comprising predicting a time required for a material to reach a specified annealing extent at a specified temperature, predicting a time required for a material to reach a specified annealing extent at a specified amount of cold deformation, and comparing recrystallization resistance of different materials under same heat treatment conditions. 4. The method for regulating heat treatment derived from the in-situ collection of information according to claim 1 , wherein the in-situ collection is to collect the information and data of the test piece in an actual heat treatment environment in real time; the information is electrical information, comprising voltage, resistance, resistivity, electrical conductivity (in S/m), and conductivity (in % IACS); the information processing is to perform relevant processing on an electrical information-time curve and an electrical information-temperature curve, the relevant processing comprising calculation of electrical information change value, calculation of electrical information change rate, and calculation of heat treatment extent coefficient; the heat treatment extent coefficient is represented by P, defined as P=(E ti −E 0 )/(E u −E 0 )×100%, wherein E 0 is electrical information corresponding to an initial heat treatment extent when a temperature of the test piece meets a preset initial condition, E ti is electrical information corresponding to any moment during the heat treatment, and is electrical information corresponding to a certain extent before reaching a target heat treatment extent, and E u is electrical information corresponding to the target heat treatment extent when the properties and microstructure of the test piece achieves the set heat treatment goal. 5. The method for regulating heat treatment derived from the in-situ collection of information according to claim 1 , wherein the heat treatment information database is a relational database, supporting the following: SQL Server, MySQL, MongoDB, SQLite, Access, H2, Oracle, and PostgreSQL; and database access technologies can perform addition, deletion, modification, and query on stored content according to actual needs. 6. The method for regulating heat treatment derived from the in-situ collection of information according to claim 5 , wherein the heat treatment information database is analyzed by self-learning; and the self-learning is based on at least one algorithm selected from the group consisting of neural network algorithm, random forest algorithm, and particle swarm algorithm with an operating environment supporting the following operating systems: Windows, Android, Linux, Mac OS, and IOS. 7. The method for regulating heat treatment derived from the in-situ collection of information according to claim 5 , wherein the heat treatment information database is a local database or a cloud database; wherein the cloud database comprises data uploaded by different clients, with functions comprising authority management, access verification, data storage, data processing, data management, and data analysis. 8. The method for regulating heat treatment derived from the in-situ collection of information according to claim 1 , wherein the heat treatment information database is analyzed by self-learning; and the self-learning is based on at least one algorithm selected from the group consisting of neural network algorithm, random forest algorithm, and particle swarm algorithm with an operating environment supporting the following operating systems: Windows, Android, Linux, Mac OS, and IOS. 9. The method for regulating heat treatment derived from the in-situ collection of information according to claim 1 , wherein the heat treatment information database is a local database or a cloud database; wherein the cloud database comprises data uploaded by different clients, with functions comprising authority management, access verification, data storage, data processing, data management, and data analysis. 10. The method for regulating heat treatment derived from the in-situ collection of information according to claim 1 , wherein the method is applied to homogenization annealing, comprising determining a homogenization temperature, homogenization time, heating rate, and cooling rate, the homogenization comprising single-stage homogenization and multi-stage homogenization; the method is applied to solid solution treatment, comprising determining a proper solid solution temperature, solid solution time, heating rate, and cooling rate, the solid solution comprising single-stage solid solution and multi-stage solid solution; the method is applied to aging, comprising determining a precipitation sequence of various precipitated phases in aging and a time window of a newly precipitated phase and determining an aging time of reaching a peak strength and time points of reaching different aging extents, the aging comprising single-stage aging and multi-stage aging; or the method is applied to recrystallization annealing, comprising predicting a time required for a material
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