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Control method for manufacturing process of large deformation pipeline steel pipe

A control method and manufacturing process technology, applied in the field of steel material manufacturing, which can solve the problems that mathematical models and physical models cannot be expressed quickly and accurately

Active Publication Date: 2013-07-17
ZHENGZHOU UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It is of great significance to study the influence of chemical composition, process parameters of controlled rolling and controlled cooling process, process parameters of pipe making process and their interaction on the properties of large deformation pipeline steel pipes, but the chemical composition, process parameters of controlled rolling and controlled cooling process and pipe making process The relationship between process parameters and performance is highly nonlinear, and mathematical models and physical models cannot express the complex relationship quickly and accurately

Method used

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  • Control method for manufacturing process of large deformation pipeline steel pipe
  • Control method for manufacturing process of large deformation pipeline steel pipe
  • Control method for manufacturing process of large deformation pipeline steel pipe

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0079] Embodiment 1: Table 1 is the input data used for network training; Table 2 is the output data used for network training; Table 3 is the chemical composition of steel pipes used for network prediction; Table 4 is the controlled rolling and cooling process used for network prediction and Pipe-making process parameters; Table 5 shows the performance and actual performance predicted by the network; Figure 4 It is the stress-strain curve simulated by JC model according to the prediction results of mechanical properties; Figure 5 This is the microstructure of steel pipes produced with the chemical composition in Table 3 and the process parameters in Table 4. The structure is composed of ferrite plus martensite / bainite. The average diameter of ferrite grains is 6.2 μm. The body volume percentage is 70%.

[0080] Table 1

[0081]

[0082] Table 2

[0083]

[0084] table 3

[0085] C Si mn Cu Cr Ni Mo V CE Pcm 0.046 0.15 1.562 0.15...

Embodiment 2

[0090] Embodiment 2: Table 6 shows the chemical composition of steel pipes for network prediction; Table 7 shows the controlled rolling and cooling process and pipe making process parameters for network prediction; Table 8 shows the performance and actual performance of network prediction; Image 6 It is the stress-strain curve simulated by JC model according to the prediction results of mechanical properties; Figure 7 It is the microstructure of the steel pipe produced by using the chemical composition in Table 6 and the process parameters in Table 7. The structure is composed of ferrite plus bainite / martensite, the average diameter of ferrite grains is 5.1 μm, and the ferrite The volume percentage is 55%.

[0091] Table 6

[0092] C Si mn Cu Cr Ni Mo V CE Pcm 0.050 0.14 1.58 0.18 0.21 0.24 0.21 0.006 0.17

[0093] Table 7

[0094] Thickness / mm Heating time / min Tapping temperature / ℃ End temperature of rough rolling...

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Abstract

The invention discloses a control method for a manufacturing process of a large deformation pipeline steel pipe. The control method comprises the following steps of: acquiring chemical ingredients, process parameters and property indexes according to the tissue characteristics and property requirements of the large deformation pipeline steel pipe; establishing an artificial neural network model and training the model, wherein the input of the model comprises the chemical ingredients and the process parameters and the output of the model comprises the property indexes; predicting the properties of the steel pipe by using the well trained artificial neural network model according to the chemical ingredients and the process parameters; researching the influence law of the input on the output, wherein certain input of the network is changed in a reasonable value range and other input is fixed; and describing the rheological behavior of the large deformation pipeline steel pipe according to the predictive result of the properties of the steel pipe. In the control method, a complex non-linear relationship among the chemical ingredients, the process parameters and the mechanical properties is established, so that the large deformation pipeline steel pipes with excellent deformation property are produced, and the yield of the large deformation pipeline steel pipes is increased.

Description

Technical field [0001] The invention involves the field of steel materials manufacturing, and especially involves a large -deformed pipeline steel pipe manufacturing process control method. Background technique [0002] At present, the oil and gas transportation pipeline continues to extend to the permanent frozen soil or earthquake area. When laying pipelines in these areas, the stratigraphy movement may cause a large stomach of the steel pipe. Therefore, the steel pipes used by the pipeline must have deformations to prevent local bend and pipelines.ability.The method of improving the ability of steel pipes for oil and gas transportation pipelines is to increase the wall thickness of the steel pipe, but this increases the construction cost of steel pipes. Using large deformation steel pipes can obtain high steel tube deformation capabilities without increasing wall thickness. [0003] The tissue of high-performance pipeline steel has undergone the transformation of type tissue s...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B21B37/78B21B37/74
Inventor 左秀荣霍松波姜金星张展展李如涛胡跃跃
Owner ZHENGZHOU UNIV