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Prediction Method of Mechanical Properties of Microalloyed Steel Based on Global Additive Model

A technology of alloy steel mechanics and micro-alloy steel, applied in metal rolling, dynamic trees, instruments, etc., can solve problems such as inability to guarantee extrapolation ability, difficulty adapting to data samples, and inconvenient research on the influence of components

Active Publication Date: 2020-06-16
WUHAN UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Both of the above two modeling methods have deficiencies. Mechanism modeling is mostly studied in units of steel types, which has the limitation that it cannot cover many steel types. It is also inconvenient to study the influence of composition and process on the structure and performance, and the calculation accuracy is not enough; and The disadvantage of data modeling is that the established model has uncertainty, cannot guarantee extrapolation ability (extension), and has high precision for training samples, but it is difficult to adapt to untrained data samples

Method used

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  • Prediction Method of Mechanical Properties of Microalloyed Steel Based on Global Additive Model
  • Prediction Method of Mechanical Properties of Microalloyed Steel Based on Global Additive Model
  • Prediction Method of Mechanical Properties of Microalloyed Steel Based on Global Additive Model

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Embodiment

[0072] The following takes hot rolling Nb-containing microalloy steel as an example to carry out mechanical property prediction modeling.

[0073] Such as figure 1 , figure 2 with image 3 As shown, step A: Determine the influencing factors of the mechanical property prediction model of the microalloyed steel, and proceed to step B.

[0074] Conduct industrial big data analysis on mechanical property prediction process parameters to find suitable influencing factors. Due to the diversity and complexity of the influencing factors, the process of finding the influencing factors is a process of repeated correction. Through analysis methods such as random forest and Bayesian method, combined with metallurgical mechanism and prior knowledge, the chemical components such as carbon, silicon, manganese, phosphorus and niobium in strip steel, as well as the furnace temperature TF, rough rolling temperature TR, finishing temperature, etc., were selected. The rolling process paramet...

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Abstract

The invention provides a method for predicting the mechanical properties of microalloy steel based on a global additive model, comprising the following steps: determining the influencing factors of the mechanical property prediction model; calculating the composition and content of carbonitride precipitation in the rolling process of the microalloy steel; Based on additive model theory, the mechanical property prediction model of microalloyed steel is expressed as an additive form of several sub-models; the mechanical property prediction model of microalloyed steel is estimated; and the reliability of each sub-model is verified. The microalloy steel product performance prediction model obtained by the above scheme has the advantages of high calculation accuracy and wide application range, and can be used for new product design and steel composition optimization to achieve the purpose of reducing the number of physical tests, shortening the product development cycle, and reducing costs.

Description

technical field [0001] The invention relates to a mathematical model of the rolling process in the metallurgical industry, in particular to a method for predicting the mechanical properties of microalloy steel based on a global additive model. Background technique [0002] In order to meet social needs and adapt to market competition, modern iron and steel enterprises must continuously improve the organizational performance of iron and steel products, while reducing production costs and shortening product development cycles. This requires changing the previous expensive and time-consuming physical test methods, and using advanced computer-aided support tools to complete the design of steel products. The prediction model of mechanical properties of hot-rolled strip steel can be used in the design of new hot-rolled products and the optimization of steel grades. Therefore, it has always been one of the research directions of metallurgists around the world, and a large number of...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06F119/08G06F119/14
CPCG06F30/20G06F2119/18G06F2119/06G06F2119/08B21B2001/225C21D7/13B21B1/22G06N5/01G06N7/01G06N5/022G06F2113/24
Inventor 李维刚邓肯杨威刘超
Owner WUHAN UNIV OF SCI & TECH
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