Hot-rolled H profile steel mechanical property forecasting method based on multivariate linear regression analysis

Abstract

The invention discloses a hot-rolled H profile steel mechanical property forecasting method based on multivariate linear regression analysis. The method comprises the following steps of (A) establishing a hot-rolled H profile steel mechanical property forecasting model; (B) collecting chemical components, technological parameters and rolled mechanical property data of steel on a production field of the hot-rolled H profile steel and using the data as inputting parameters of the mechanical property forecasting model; (C) calculating the mechanical property forecasting model on the basis of multivariate linear regression analysis; (D) calculating and predicting mechanical properties of the rolled H steel on the basis of the mechanical property forecasting model according to the chemical components and the preset technological parameters of the hot-rolled H profile steel to obtain a predicted value of the mechanical property of the H-shaped steel; (E) comparing the predicted value of the mechanical property of the H-shaped steel to a target value, and judging whether hot-rolled technological parameters are optimized or not so as to obtain the mechanical property target value meeting a production performance standard; and (F) repeatedly carrying out the steps according to a next batch of production steel.

Description

technical field [0001] The invention relates to the field of metallurgical rolling of hot-rolled H-shaped steel, in particular to a method for predicting the mechanical properties of hot-rolled H-shaped steel based on multiple linear regression analysis. Background technique [0002] Performance prediction technology has been the focus and focus of research and development in the field of metallurgy in recent years. The application of this technology can guide the development of new processes and new varieties, shorten the product development cycle, and reduce the number of tests. my country's hot-rolled H-beam products are in the peak period of development. The diversity of market demand requires manufacturers to develop many varieties every year. Through research and application of this technology, key processes and key process parameters that affect the performance of hot-rolled H-beams can be found and optimized. The production process improves and stabilizes the quality ...

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Problems solved by technology

[0005] Judging from the current strength level of hot-rolled H-beams, domestic hot-rolled H-beams are still dominated by Q235 grade plain carbon steel, accounting for more than 70% of the total domestic output, and the proportion of Q345 and above grade steel is relatively small, and higher. The proportion of high-grade low-alloy high-strength steel is less than 5%, and the quality grade is not high

[0007] At present, there are related patents on performance prediction model technology, but because of the complex deformation of hot-rolled H-shaped steel during the rolling process, the prediction of mechanical properties of H-shaped steel products after rolling is more complicated and important. Based on the multiple linear regression analysis method in related heat The online mechanical prediction model of rolled H-beam is still the first case

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