A Flatness Prediction Method Considering Rolling Spread
A prediction method and shape technology, applied in the field of strip steel rolling, can solve the problems of not considering the lateral flow of metal, deviation of prediction results, etc., and achieve the effect of strong applicability and improvement of prediction accuracy.
Active Publication Date: 2020-12-01
NORTHEASTERN UNIV LIAONING
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Problems solved by technology
[0003] Existing geometric conditions with good plate shape introduce too many simplified conditions and assumptions. The traditional method of predicting plate shape defects based on proportional convexity changes has certain limitations, and because the influence of metal lateral flow is not considered, the prediction results Deviations often occur, for example, when rolling a narrow strip with a negative crown, the extreme value of the tensile stress does not appear at the predicted position - the edge of the strip, but appears near 1 / 4 of the strip width
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[0075] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.
[0076] In this embodiment, the method of the present invention is used to predict the strip shape of a domestic strip hot rolling production line. Such as figure 1 As shown, the strip shape prediction method considering the rolling width of the present invention comprises the following steps:
[0077] Step 1: Obtain strip parameters, roll parameters and rolling parameters, the strip parameters include strip width, strip thickness, strip crown, strip density, strip elastic modulus, strip yield strength, Strip Poisson's ratio, strip tangent modulus, the roll parameters include work roll diameter, work roll body length, work roll density, work roll elastic modulus, work roll Poisson's ratio, the rolling parameters include Friction, rolling speed.
[0078] In this embodiment, the obtained parameters are shown in Table 1.
[0079] Table 1
[00...
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The invention relates to the technical field of strip steel rolling and provides a strip shape prediction method considering rolling width. The method includes: step 1: obtaining strip steel parameters, roll parameters and rolling parameters; step 2: considering the lateral flow of metal, introducing the change factor of the lateral thickness difference before and after rolling and the width expansion factor, and constructing a The strip shape prediction model coupled with expansion; step 3: according to the strip parameters, roll parameters and rolling parameters, construct the three-dimensional finite element model of the rolling mill and the strip, and use the three-dimensional finite element model to simulate the strip rolling , extract the lateral displacement and thickness data of the strip steel in the stable rolling stage, and calculate the parameters of the strip shape prediction model based on the shape-convexity-span coupling; step 4: use the strip shape-span-span coupling based The strip shape prediction model predicts the strip shape. The invention can improve the accuracy of plate shape prediction and enhance the applicability.
Description
technical field [0001] The invention relates to the technical field of strip steel rolling, in particular to a strip shape prediction method considering rolling width. Background technique [0002] With the continuous improvement of the quality requirements of strip steel products, the problem of strip steel shape is becoming more and more prominent. Cross-sectional shape and flatness are currently the two most important indicators used to describe the strip shape quality. Among them, the cross-sectional shape reflects the thickness difference along the width direction of the strip, and the flatness reflects the elongation deformation difference of the strip along the length direction. In general, shape control includes two aspects: convexity control and flatness control, and there is a coupling relationship between convexity and flatness. When the shape of the incoming material is good and the shape of the outlet is required to be good, the shape The good geometric simila...
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IPC IPC(8): B21B37/28B21B37/30
CPCB21B37/28B21B37/30B21B37/00B21B38/00B21B2261/06B21B2263/02B21B2267/06B21B2267/28G06F30/23G06F2119/22G06F30/25G06F30/398G06F2111/00G06F30/367
Inventor 孙杰王青龙单鹏飞魏臻彭文丁敬国张殿华
Owner NORTHEASTERN UNIV LIAONING