Ojeda-López Adrián, Botana-Galvín Marta, Almagro Bello Juan F, González-Rovira Leandro, Botana Francisco Javier
Department of Materials Science and Metallurgical Engineering and Inorganic Chemistry, Faculty of Sciences, University of Cadiz, Campus Río San Pedro S/N, 11510 Puerto Real, Spain.
Titania Ensayos y Proyectos Industriales, Edificio RETSE, Nave 4, Parque Tecnobahía, 11500 El Puerto de Santa María, Spain.
Materials (Basel). 2025 Mar 15;18(6):1298. doi: 10.3390/ma18061298.
Modeling hot rolling remains a major challenge in computational solid mechanics. It demands the simultaneous consideration of geometric and material responses. Although the finite element method (FEM) is widely used, multi-pass simulations often treat each pass independently, leading to error accumulation, particularly in flat product rolling, where inter-pass interactions are crucial. Advanced models and remeshing techniques have been developed to address these issues, but substantial computational resources are required. In this study, a previously validated and simplified 3D FEM model was employed to simulate the initial stages of the hot rolling of large-scale AISI 430 ferritic stainless-steel slabs, using data from an industrial rolling schedule. Specifically, the simulations encompassed preheating and descaling, and seven passes of the roughing stage. Through these 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, effective plastic strain, and equivalent stress distributions along the rolled material were extracted and analyzed. The results highlighted that the employed model adequately predicted the variations in the analyzed parameters throughout the volume of the rolled material during the different stages of the process. However, discrepancies were identified in the rolling load values during the final passes, which were attributed to the presence of phenomena not considered in the constitutive model used. This model will be refined in future studies to reduce the error in the rolling load estimation.
在计算固体力学中,对热轧过程进行建模仍然是一项重大挑战。这需要同时考虑几何响应和材料响应。尽管有限元法(FEM)被广泛使用,但多道次模拟通常将每一道次独立处理,导致误差累积,尤其是在扁平材轧制中,道次间的相互作用至关重要。已经开发了先进的模型和重新网格化技术来解决这些问题,但需要大量的计算资源。在本研究中,采用了一个先前经过验证且简化的三维有限元模型,利用工业轧制规程的数据来模拟大规模AISI 430铁素体不锈钢板坯热轧的初始阶段。具体而言,模拟包括预热和除鳞,以及粗轧阶段的七道次。通过这些模拟,获得了一根长度约为16100毫米的中间坯。将模拟的厚度和轧制载荷值与实验数据进行了比较,结果表明在大多数道次中两者吻合良好。随后,提取并分析了沿轧制材料的温度、有效塑性应变和等效应力分布。结果突出表明,所采用的模型能够充分预测轧制材料在整个轧制过程不同阶段的体积内所分析参数的变化。然而,在最后几道次的轧制载荷值中发现了差异,这归因于所用本构模型中未考虑的现象的存在。该模型将在未来的研究中进行改进,以减少轧制载荷估计中的误差。