Chen Xuewen, Sun Jiawei, Yang Yisi, Liu Bingqi, Si Yahui, Zhou Junzhuo
School of Materials Science and Engineering, Henan University of Science and Technology, 263 Kaiyuan Avenue, Luoyang 471023, China.
Materials (Basel). 2023 Jul 4;16(13):4806. doi: 10.3390/ma16134806.
Warm deformation is a plastic-forming process that differs from traditional cold and hot forming techniques. At the macro level, it can effectively reduce the problem of high deformation resistance in cold deformation and improve the surface decarburization issues during the hot deformation process. Microscopically, it has significant advantages in controlling product structure, refining grain size, and enhancing product mechanical properties. The Gleeble-1500D thermal-mechanical physical simulation system was used to conduct isothermal compression tests on GCr15 bearing steel. The tests were conducted at temperatures of 600-1050 °C and strain rates of 0.01-5 s. Based on the experimental data, the critical strain model and dynamic recrystallization model for the warm-hot forming of GCr15 bearing steel were established in this paper. The model accuracy is evaluated using statistical indicators such as the correlation coefficient (R). The dynamic recrystallization model exhibits high predictive accuracy, as indicated by an R-value of 0.986. The established dynamic recrystallization model for GCr15 bearing steel was integrated into the Forge 3.2 numerical simulation software through secondary program development to simulate the compression process of GCr15 warm-hot forming. The dynamic recrystallization fraction was analyzed in various deformation regions. The grain size of the severe deformation zone, small deformation zone, and difficult deformation zone was compared based on simulated compression specimens under the conditions of 1050 °C and 0.1 s with the corresponding grain size obtained with measurement based on metallographic photos; the relative error between the two is 5.75%. This verifies the accuracy of the established dynamic recrystallization and critical strain models for warm-hot deformation of GCr15 bearing steel. These models provide a theoretical basis for the finite element method analysis and microstructure control of the warm-hot forming process in bearing races.
温变形是一种与传统冷、热成型技术不同的塑性成型工艺。在宏观层面,它能有效降低冷变形中高变形抗力的问题,并改善热变形过程中的表面脱碳问题。在微观层面,它在控制产品组织、细化晶粒尺寸和提高产品力学性能方面具有显著优势。采用Gleeble - 1500D热模拟实验机对GCr15轴承钢进行等温压缩试验。试验在600 - 1050℃温度和0.01 - 5s - 1应变速率下进行。基于实验数据,建立了GCr15轴承钢温 - 热成型的临界应变模型和动态再结晶模型。使用相关系数(R)等统计指标对模型精度进行评估。动态再结晶模型具有较高的预测精度,R值为0.986。通过二次开发将所建立的GCr15轴承钢动态再结晶模型集成到Forge 3.2数值模拟软件中,模拟GCr15温 - 热成型的压缩过程。分析了不同变形区域的动态再结晶体积分数。基于1050℃、0.1s - 1条件下的模拟压缩试样,比较了剧烈变形区、小变形区和难变形区的晶粒尺寸与金相照片测量得到的相应晶粒尺寸;两者相对误差为5.75%。这验证了所建立的GCr15轴承钢温 - 热变形动态再结晶模型和临界应变模型的准确性。这些模型为轴承套圈温 - 热成型过程的有限元法分析及组织控制提供了理论依据。