Abstract

Slab continuous casting internal cracking is a common quality defect in the production process. The ability to predict the quality of each continuous casting product and assess whether it is suitable for hot delivery or needs to be cleaned down will greatly increase the rolled product rate and reduce the scrap rate and production management cost. According to the quality defects of internal cracks during slab continuous casting and based on the solidification and heat transfer simulations, stress and strain calculations and theoretical analysis of metallurgical processes related to continuous casting combined with an abnormal casting event expert system, the internal crack generation index of the slice unit is used to predict the crack occurrence rating of each sized slab. Moreover, the internal crack prediction model for the slab is successfully developed and applied in a domestic steel mill. The accuracy of the model prediction reached 86.85%. This method achieved the organic combination of theoretical analysis and an expert system and provides an important theoretical tool for the prediction of crack quality defects in slab continuous casting; the method can be applied in slab continuous casting production.

Highlights

  • As the core issue of concern for continuous casting producers, the quality of continuous casting products has long been a concern of steel production companies, engineering design institutes, and research institutes [1,2,3,4,5,6,7,8,9]

  • The maximum crack generation index value experienced by the slice unit is the most influential to its quality defect formation, so the maximum value obtained by the slice unit is taken as the final result

  • The weight coefficient of each quality loss factor indicates the degree of influence of each quality loss factor on the internal crack generation index, and its value determines the accuracy of the model prediction

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Summary

Introduction

As the core issue of concern for continuous casting producers, the quality of continuous casting products has long been a concern of steel production companies, engineering design institutes, and research institutes [1,2,3,4,5,6,7,8,9]. Unreasonable primary and secondary cooling, poor accuracy of arcing between segments, abnormal roll-gap shrinkage, excessive slab bulging, poor quality of molten steel, and improper control of steel composition can promote internal crack formation [19,20,21,22,23,24,25,26,27]. For these influencing factors, some can be determined by theoretical calculation, whereas others can only be processed through artificial experience. Through the organic combination of these approaches, an effective and accurate model for predicting internal cracking of a slab is developed

Quality Loss Factor
Type of Quality Loss Factor
Loss Factor of Shell Stress at Mold Exit
Loss Factor of Shell Stress in the Secondary Cooling Zone
Loss Factor of Reheating at Slab Surface in the Secondary Cooling Zone
Loss Factor of Steel Crack Sensitivity
Target Temperature Loss Factor of a Slab in the Secondary Cooling Zone
Casting Abnormal Events
Internal Crack Generation Index of Slice Unit
The prediction model performs a complete tracking of the
The Weighted-Average Algorithm
The BP Neural Network Algorithm
Internal Crack Prediction Algorithm for the Sized Slab
The Prediction Model Software Introduction
Industrial Applications
Findings
Conclusions
Full Text
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