CN103537490A - Method for predicating 33Mn2V hot-rolled seamless steel tube perforation structure - Google Patents
Method for predicating 33Mn2V hot-rolled seamless steel tube perforation structure Download PDFInfo
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- CN103537490A CN103537490A CN201310507226.6A CN201310507226A CN103537490A CN 103537490 A CN103537490 A CN 103537490A CN 201310507226 A CN201310507226 A CN 201310507226A CN 103537490 A CN103537490 A CN 103537490A
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Abstract
The invention relates to a method for predicating a 33Mn2V hot-rolled seamless steel tube perforation structure. The method includes the steps: (1) determining a hot upset forging process of a model; (2) determining a physical parameter rule in the hot upset forging process, and determining an empirical mathematic relation model form of dynamic recrystallization grain size; (3) calculating physical parameters; (4) inputting the solved grain size into a solver in an MSC.Marc/AutoForge software platform for solving, and visualizing an equivalent cloud diaphragm; (5) through structural calculation and analysis of MSC.Marc/AutoForge software, carrying out a rule that the dynamic recrystallization grain size is not changed along with finite element computed increment in the 33Mn2V hot-rolled seamless steel tube perforation process. By the method, evolution of a steel tube product and a structure form of a final product can be predicated effectively, and metallic performance can be increased by 20-40% through grain refinement.
Description
Technical field
The invention belongs to the energy-conservation steel pierced billet of seamless microalloy technical field, particularly relate to mannesmann piercer dynamic and static recrystallization percentage amounts for material in oblique milling thermal deformation process, crystallite dimension, the finite element modelling Forecasting Methodology of the Three-Dimensional Dynamic such as structure property, specifically a kind of method for 33Mn2V type hot rolled seamless steel tube perforation microstructure Prediction.
Background technology
MSC.Marc/AutoForge adopts the most advanced finite element nineties
gridand solution technique, the technique of the body formed processes such as the various cold and hot forgings of Fast simulation, extruding, rolling and multi-step forging is manufactured special-purpose
software.It combines MSC.Marc/MENTAT Gneral analysis
softwarethe marrow of solver and pre-process and post-process device, and full-automatic two-dimentional quadrangle
gridwith three-dimensional hexahedral mesh self adaptation and heavy partitioning technology, realize thering is the full-automatic numerical simulation of the non-linear body forming process of altitude combination.Its graphical interfaces adopting process engineer's Essential Terms, easily understand, and are convenient to use, and MSC.Marc/AutoForge provides a large amount of Applied Materials data for selecting, and it is standby that user also can create material database voluntarily.Utilize MSC.Marc/AutoForge to provide
structural analysisfunction, can carry out further structural analysis to the workpiece that comprises residual stress after processing, and the performance of simulation converted products in follow-up running, contributes to improve product processing technique or its following running environment.
At present, MSC, does not have the relevant data of 33Mn2V steel in Marc/ AutoForge31 material depot, need user to set up the database of oneself.Thermophysical parameter under different temperatures as pyroconductivity, specific heat, thermal coefficient of expansion etc., can directly be inputted from software window, and the physical parameter under high temperature can obtain by pertinent literature,
At present, in the process of the seamless microalloy energy saving steel tube of 33Mn2V type oblique milling, due to the impact of the Various Complex factors such as flow of metal, the coefficient of tension, Temperature Distribution, material behavior, cause the steel pipe's production pierced billet process organization problems such as difficult real-time estimate that develop.
Before, we are at " plastic engineering journal " Vol, 16, No, 5, Oct, on 2009, delivered the article of " seamless steel pipe poling process dynamics recrystal grain Changing Pattern ", this article has been done detailed description to variation and the distribution situation of inside pipe fitting dynamic recrystallization crystallite dimension in 33Mn2V type seamless steel pipe oblique milling process, but the perforation of 33Mn2V type hot rolled seamless steel tube is organized effectively and showed with MSC.Marc/AutoForge, prediction for seamless steel pipe perforation tissue, due to flow of metal, the coefficient of tension, Temperature Distribution, the impact of the Various Complex factors such as material behavior, 33Mn2V steel pipe's production pierced billet process organization evolution at present also could not realize pre-in real time, in order to improve tube quality.
Summary of the invention
The object of the invention is to for the deficiencies in the prior art, a kind of method for 33Mn2V type hot rolled seamless steel tube perforation microstructure Prediction is provided.
The present invention solves its technical problem and takes following technical scheme to realize:
A method for 33Mn2V type hot rolled seamless steel tube perforation microstructure Prediction, comprises that step is as follows:
(1) determine model hot upset forging process;
(2) determine the physical parameter rule in hot upset forging process; True stress-true strain data when recording sample deformation, determine the experience numerical relationship model formula of dynamic recrystallization crystallite dimension;
(3) Computational Physics parameter; By physical parameter activation energy Q, temperature T, strain rate
to determine Z;
(4) by d
drxthe solver being input in MSC.Marc/AutoForge software platform solves, and the equivalent cloud atlas of visual demonstration result of calculation;
(5) by the Calculation Anaysis for Tunnel Structure of MSC.Marc/AutoForge software, carry out 33Mn2V shaped steel hot rolled seamless steel tube perforation procedure dynamic recrystallization grain size along with the indeclinable rule of FEM calculation increment, thereby reach target of prediction.
And, described step (1) determines that the particular content of model hot upset forging process comprises: determine that 33Mn2V sample carries out hot upset forging test on Gleeble-1500 heat/power analog meter, sample is warmed up to 1200 degree with 10 degree/s, after insulation 10min, with 6.7 degree/s, be cooled to deformation temperature 1200 degree, 1100 degree, 950 degree, 800 degree, 750 degree, then with the strain rate distortion of 0.02/s, its maximum deformation quantity is 60%, and true strain is 0.92.
And definite relational expression is specially following formula in described step (2):
d
drx=3.2967×10
4·Z
-0.2003,Q=412.9kJ/mol；
D in formula
drxin dynamic recrystallization crystallite dimension formula, Z is Zener-Hollomon parameter.
Advantage of the present invention and good effect are
1, the present invention has set up the numerical model of roll piercing process, distribution and the Evolution of research rolled piece internal displacement field, temperature field, stress field and strain field and tissue etc., the factors such as emphasis has solved in edge-restraint condition, friction condition, course of hot rolling the coefficient of heat conduction and specific heat varies with temperature, the size of guide plate (or godet) and guide plate distance are to perforation procedure and the perforation effect of steel pipe shape, dimensional accuracy afterwards.
2, the present invention has set up the ductile failure criterion that is applicable to rolled piece boring defect, determine the model of metal inside microstructure evolution in each main technologic parameters and deformation condition and roll piercing forming process, having solved steel duct in steel pipe's production pierced billet process and organized a dynamic prediction difficult problem for Real-time, is to improve a kind of effective ways that tube quality prediction defect produces.
3, the present invention can effectively forecast variations in temperature, the differentiation of tissue and the tissue morphology of final products in the shape, deformation process of tube product, can shorten the cycle of developing new product, and by grain refinement, can make metallicity improve 20%～40%.
Accompanying drawing explanation
Fig. 1 is method step block diagram of the present invention;
In Fig. 2, workpiece inner face average grain size, temperature, equivalent strain and equivalent strain rate distribution map when Fig. 2 (a) is respectively different incremental step to Fig. 2 (j);
Fig. 3 is workpiece cross section average grain size distribution map.
The specific embodiment
Below in conjunction with accompanying drawing, the embodiment of the present invention is further described, following examples are descriptive, are not determinate, can not limit protection scope of the present invention with this.
A method for 33Mn2V type hot rolled seamless steel tube perforation microstructure Prediction, as shown in Figure 1, comprises that method step is as follows:
(1) determine model hot upset forging process; Determine that 33Mn2V sample carries out hot upset forging test on Gleeble-1500 heat/power analog meter, sample is warmed up to 1200 degree with 10 degree/s, after insulation 10min, with 6.7 degree/s, be cooled to deformation temperature 1200 degree, 1100 degree, 950 degree, 800 degree, 750 degree, then with the strain rate of 0.02/s, be out of shape, its maximum deformation quantity is 60%, and true strain is 0.92;
(2) determine the physical parameter rule in hot upset forging process; True stress-true strain data when recording sample deformation, determine the experience numerical relationship model formula of dynamic recrystallization crystallite dimension, and formula is as follows:
d
drx=3.2967×10
4·Z
-0.2003,Q=412.9kJ/mol；
D in formula
drxin dynamic recrystallization crystallite dimension formula, Z is Zener-Hollomon parameter;
(3) Computational Physics parameter; By physical parameter activation energy Q, temperature T, strain rate
to determine Z;
(4) by d
drxthe solver being input in MSC.Marc/AutoForge software platform solves, and the equivalent cloud atlas of visual demonstration result of calculation;
(5) by the Calculation Anaysis for Tunnel Structure of MSC.Marc/AutoForge software, as shown in Fig. 2 or 3, carry out 33Mn2V shaped steel hot rolled seamless steel tube perforation procedure dynamic recrystallization grain size along with the indeclinable rule of FEM calculation increment, thereby reach target of prediction.
Claims (3)
1. for a method for 33Mn2V type hot rolled seamless steel tube perforation microstructure Prediction, it is characterized in that: comprise that step is as follows:
(1) determine model hot upset forging process;
(2) determine the physical parameter rule in hot upset forging process; True stress-true strain data when recording sample deformation, determine the experience numerical relationship model formula of dynamic recrystallization crystallite dimension;
(3) Computational Physics parameter; By physical parameter activation energy Q, temperature T, strain rate
to determine Z;
(4) by d
drxthe solver being input in MSC.Marc/AutoForge software platform solves, and the equivalent cloud atlas of visual demonstration result of calculation;
(5) by the Calculation Anaysis for Tunnel Structure of MSC.Marc/AutoForge software, carry out 33Mn2V shaped steel hot rolled seamless steel tube perforation procedure dynamic recrystallization grain size along with the indeclinable rule of FEM calculation increment, thereby reach target of prediction.
2. the method for 33Mn2V type hot rolled seamless steel tube perforation microstructure Prediction according to claim 1, it is characterized in that: described step (1) determines that the particular content of model hot upset forging process comprises: determine that 33Mn2V sample carries out hot upset forging test on Gleeble-1500 heat/power analog meter, sample is warmed up to 1200 degree with 10 degree/s, after insulation 10min, with 6.7 degree/s, be cooled to deformation temperature 1200 degree, 1100 degree, 950 degree, 800 degree, 750 degree, then with the strain rate of 0.02/s, be out of shape, its maximum deformation quantity is 60%, and true strain is 0.92.
3. the method for 33Mn2V type hot rolled seamless steel tube perforation microstructure Prediction according to claim 1, is characterized in that: in described step (2), definite relational expression is specially following formula:
d
drx=3.2967×10
4·Z
-0.2003,Q=412.9kJ/mol；
D in formula
drxin dynamic recrystallization crystallite dimension formula, Z is Zener-Hollomon parameter.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105373683A (en) * | 2015-12-11 | 2016-03-02 | 武汉理工大学 | Prediction method for microstructure evolution law of 20CrMnTiH steel in thermal deformation process |
| CN107096800A (en) * | 2017-06-08 | 2017-08-29 | 太原钢铁(集团)有限公司 | Nickel-base alloy hot extrusion tubing organizational controls method |
| CN109857061A (en) * | 2019-01-24 | 2019-06-07 | 贵州大学 | A kind of workpiece surface residual stress regulation method based on thermal influence zone |
| CN112808781A (en) * | 2019-11-15 | 2021-05-18 | 中冶华天工程技术有限公司 | Method for calculating temperature in rolling process of threaded steel bar rolled piece |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105373683A (en) * | 2015-12-11 | 2016-03-02 | 武汉理工大学 | Prediction method for microstructure evolution law of 20CrMnTiH steel in thermal deformation process |
| CN105373683B (en) * | 2015-12-11 | 2018-09-14 | 武汉理工大学 | A kind of prediction technique of 20CrMnTiH steel thermal deformation process Microstructural Evolution rule |
| CN107096800A (en) * | 2017-06-08 | 2017-08-29 | 太原钢铁(集团)有限公司 | Nickel-base alloy hot extrusion tubing organizational controls method |
| CN107096800B (en) * | 2017-06-08 | 2019-01-11 | 太原钢铁(集团)有限公司 | Nickel-base alloy hot extrusion tubing organizational controls method |
| CN109857061A (en) * | 2019-01-24 | 2019-06-07 | 贵州大学 | A kind of workpiece surface residual stress regulation method based on thermal influence zone |
| CN109857061B (en) * | 2019-01-24 | 2022-05-17 | 贵州大学 | Workpiece surface residual stress regulation and control method based on thermal coupling model |
| CN112808781A (en) * | 2019-11-15 | 2021-05-18 | 中冶华天工程技术有限公司 | Method for calculating temperature in rolling process of threaded steel bar rolled piece |
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Application publication date: 20140129 |