Author

Fei Shang

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Review Open access Oct 2026

A Review of Strip Shape Prediction Methods Transitioning From Mechanistic Models to Interpretable Deep Learning

Strip shape prediction is a core task in rolling process control, and its accuracy directly impacts product quality and production efficiency. However, complex multivariable nonlinear couplings, dynamic operating conditions, and strong environmental disturbances severely challenge the accuracy and adaptability of tradi...

Fei Shang, Zhi-Jie Zheng, Hui-Lin Chen et al. · Steel Research International · 0 citations

Open access Aug 2026

A method for improving ray distortion in ultrasonic weld simulation based on a ray-guided Fourier neural operator

Forward simulation of ultrasonic nondestructive testing in austenitic stainless steel welds remains challenging due to the material’s severe anisotropy and heterogeneity. Traditional ray-tracing methods are highly efficient but suffer from amplitude singularities in focal regions, whereas full-wavefield finite element...

Fei Shang, Zhong-Ren Li, Xi-Xi Qin et al. · Measurement science and tech... · 0 citations

Sep 2026

Temperature field prediction and thermal convexity compensation control for hot-rolling work rolls throughout the entire rolling cycle

During continuous rolling, the dynamic changes in the thermal camber of the work roll caused by uneven temperature distribution are a key factor affecting the flatness accuracy of the strip. To achieve stable flatness control, this paper proposes a thermal camber compensation strategy for the work roll based on the pre...

Fei Shang, Ji-Peng Zhao, Si-Fang Wang et al. · Ironmaking & Steelmaking... · 0 citations