RT journal article
T1 Finite Element Simulation of Hot Rolling for Large-Scale AISI 430 Ferritic Stainless-Steel Slabs Using Industrial Rolling Schedules—Part 2: Simulation of the Roughing Stage and Comparison with Experimental Results
A1 Ojeda López, Adrián
A1 Botana Galvín, Marta
A1 Almagro Bello, Juan F.
A1 González Rovira, Leandro
A1 Botana Pedemonte, Francisco Javier
A2 Ciencia de los Materiales e Ingeniería Metalúrgica y Química Inorgánica
K1 hot rolling
K1 flat rolling
K1 stainless steel
K1 AISI 430
K1 numerical simulation
K1 finite element method
AB Modeling hot rolling remains a major challenge in computational solid mechanics.It demands the simultaneous consideration of geometric and material responses. Althoughthe finite element method (FEM) is widely used, multi-pass simulations often treat eachpass independently, leading to error accumulation, particularly in flat product rolling,where inter-pass interactions are crucial. Advanced models and remeshing techniqueshave been developed to address these issues, but substantial computational resources arerequired. In this study, a previously validated and simplified 3D FEM model was employedto simulate the initial stages of the hot rolling of large-scale AISI 430 ferritic stainlesssteel slabs, using data from an industrial rolling schedule. Specifically, the simulationsencompassed preheating and descaling, and seven passes of the roughing stage. Throughthese simulations, a transfer bar with an approximate length of 16,100 mm was obtained.The simulated thickness and rolling load values were compared with experimental data,demonstrating good agreement in most passes. Subsequently, the temperature, effectiveplastic strain, and equivalent stress distributions along the rolled material were extractedand analyzed. The results highlighted that the employed model adequately predicted thevariations in the analyzed parameters throughout the volume of the rolled material duringthe different stages of the process. However, discrepancies were identified in the rollingload values during the final passes, which were attributed to the presence of phenomenanot considered in the constitutive model used. This model will be refined in future studiesto reduce the error in the rolling load estimation.
PB MDPI
SN 1996-1944
YR 2025
FD 2025
LK http://hdl.handle.net/10498/38120
UL http://hdl.handle.net/10498/38120
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 22-sep-2026