Prediction and Regulation of Multi-pass Coupled Modeling for Cold Rolling of High-strength Strip Based on Genetic Inheritance of Property Inhomogeneity

doi:10.3901/JME.260112

Abstract

Abstract: With the substantial increase in base strip strength and reduction ratio, shape defects induced by inherited transverse property heterogeneity have emerged as a critical common challenge hindering the high-precision, high-quality, and high-efficiency production of high-strength steel. To elucidate the formation mechanisms of such defects, a multi-pass tandem cold rolling simulation model integrating the differences in the wide direction performance of the strip and the genetic mechanism of the data was constructed using a 1 450 mm cold rolling mill as a prototype. The model achieved relative errors within ±8% between calculated and measured rolling force for all stands, and a maximum cross-sectional thickness deviation of less than 20 μm. Based on this model, a predictive methodology was proposed to quantitatively characterize the response relationships between rolled strip shape and key process parameters. Results reveal that the difference in transverse properties of the strip induces an asymmetric “saddle-shaped” distribution of rolling stress, with jagged peaks forming in regions of high deformation resistance. As rolling progresses, strain hardening and transverse hardening differences evolve synergistically, and the superposition of hardening leads to the enhancement of the stress plateauing trend, and the stress concentration is especially enhanced in the higher undercutting rate stand and the end stand. Furthermore, transverse yield strength gradients trigger local deformation reconstructions, which partially attenuate the linear amplification effect of reduction on shape defects. This results in increased nonlinearity and sensitivity of shape control. Within a certain range of reduction fluctuation, the resulting thickness deviation can reach up to 5.39 μm. The post-rolling strip shape is predicted and process control strategies are optimized, providing a new approach for elucidating the mechanism of shape defects and achieving precise control in high-strength steel.

Key words: tandem cold rolling, high-strength strip, property distribution, simulation model, control efficiency

CLC Number:

TG156

LI Xiaohua, LI Xu, HAN Yuejiao, WANG Pengfei, ZHANG Dianhua, ZHANG Yong. Prediction and Regulation of Multi-pass Coupled Modeling for Cold Rolling of High-strength Strip Based on Genetic Inheritance of Property Inhomogeneity[J]. Journal of Mechanical Engineering, 2026, 62(4): 135-147.

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