Elanany Khaled, Borek Wojciech, Ebied Saad
Silesian University of Technology, 2A Akademicka Str., 44-100 Gliwice, Poland.
Department of Engineering Materials and Biomaterials, Silesian University of Technology, 18A Konarskiego Str., 44-100 Gliwice, Poland.
Materials (Basel). 2024 Nov 22;17(23):5713. doi: 10.3390/ma17235713.
This study used the Gleeble 3800 thermomechanical simulator to examine the hot deformation characteristics of AISI 8822H steel. The main goal was to understand the alloy's behaviour under various thermomechanical settings, emphasising temperature ranges between 1173 K and 1323 K and strain rates from 0.01 s to 10 s. This study aimed to enhance the alloy's manufacturing process by offering a thorough understanding of the material's response to these conditions. Four various constitutive models-Arrhenius-type, Johnson-Cook, modified Johnson-Cook, and Trimble-were used in a comprehensive technique to forecast flow stress values in order to meet the study's goals. The accuracy of each model in forecasting the behaviour of the material under the given circumstances was assessed. A thorough comparison investigation revealed that the Trimble model was the most accurate model allowing prediction of material behaviour, with the maximum correlation factor (R = 0.99) and at least average absolute relative error (1.7%). On the other hand, the Johnson-Cook model had the least correlation factor (R = 0.92) and the maximum average absolute relative error (32.2%), indicating that it was the least accurate because it could not account for all softening effects.
本研究使用Gleeble 3800热机械模拟器来研究AISI 8822H钢的热变形特性。主要目标是了解该合金在各种热机械条件下的行为,重点关注1173 K至1323 K的温度范围以及0.01 s至10 s的应变速率。本研究旨在通过全面了解材料对这些条件的响应来改进合金的制造工艺。为了实现研究目标,采用了四种不同的本构模型——阿累尼乌斯型、约翰逊-库克模型、修正的约翰逊-库克模型和特林布尔模型——通过综合技术来预测流变应力值。评估了每个模型在预测给定条件下材料行为方面的准确性。一项全面的比较研究表明,特林布尔模型是预测材料行为最准确的模型,其相关系数最高(R = 0.99),平均绝对相对误差至少为(1.7%)。另一方面,约翰逊-库克模型的相关系数最低(R = 0.92),平均绝对相对误差最大(32.2%),这表明它是最不准确的,因为它无法考虑所有的软化效应。