Microalloyed steel mechanical property prediction method based on global additive model

Abstract

The invention provides a microalloyed steel mechanical property prediction method based on a global additive model. The method comprises the steps that influence factors of a mechanical property prediction model are determined; precipitated components and content of carbonitride in the rolling process of microalloyed steel are calculated; the mechanical property prediction model of the microalloyed steel is expressed into an additive form of a plurality of submodels according to the generalized additive model theory; the mechanical property prediction model of the microalloyed steel is estimated; and the reliability of all the submodels is verified. Through the scheme, the obtained product property prediction model of the microalloyed steel has the advantages of high calculation precision, wide adaptive range, etc., can be used for new product design and steel grade component optimization and achieves the purposes of reducing the number of physical tests, shortening the product development cycle and lowering cost.

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...

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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

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