Constitutive Modelling of a New High-Strength Low-Alloy Steel Using Modified Zerilli–Armstrong and Arrhenius Model

Ramana, Attili Venkata; Balasundar, I.; Davidson, M. J.; Balamuralikrishnan, R.; Raghu, T.

doi:10.1007/s12666-019-01763-4

Cited by 16 publications

(5 citation statements)

References 25 publications

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“…Jakus et al [ 14 ] investigated the constitutive parameters of the Johnson-Cook strength model for maraging high-strength steel and validated them through experiments. Ramana et al [ 15 ] studied the high-temperature creep behavior of a novel high-strength steel, comparing the modified Zerilli–Armstrong model with the phenomenological strain-included Arrhenius model. It was found that the Arrhenius constitutive model proposed by Sellars and Tegart accurately described the high-temperature flow behavior of “Steel A”; hence, this model can be used in simulations of complex-metal-forming processes.…”

Section: Introductionmentioning

confidence: 99%

Research on the Hot Deformation Process of A100 Steel Based on High-Temperature Rheological Behavior and Microstructure

Sun,

Qin,

Liu

et al. 2024

Materials

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To obtain the optimal hot deformation process, the rheological and dynamic recrystallization behaviors of A100 steel were researched through isothermal compression tests. Firstly, a Hensel-Spittel constitutive model was established based on the stress–strain curves. Secondly, dynamic recrystallization percentage and grain size models were established to identify the necessary conditions for complete dynamic recrystallization. Finally, microstructural analysis was employed to validate the accuracy of the recrystallization model. The results indicate that the flow stress is highly sensitive to both the strain rate and the temperature, and the HS model demonstrates a high predictive accuracy, with a correlation coefficient of 0.9914. There exists a contradictory relationship between decreasing the average grain size and increasing the recrystallization percentage. The higher the percentage of dynamic recrystallization, the larger the average grain size tends to be. This situation should be avoided when devising the actual processing procedures. The optimal hot working processes for achieving complete dynamic recrystallization and a smaller average grain size are as follows: a strain equal to or greater than 0.6, a temperature between 1193 and 1353 K, and a strain rate between 0.1 and 1 s−1.

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Section: Introductionmentioning

confidence: 99%

Research on the Hot Deformation Process of A100 Steel Based on High-Temperature Rheological Behavior and Microstructure

Sun,

Qin,

Liu

et al. 2024

Materials

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“…Samantaray et al provided a detailed comparison of the J-C, modified Z-A model, and Arrhenius-type model in predicting the high temperature rheological features of improved 9Cr-1Mo material [3]. A. Venkata Ramana et al carried out a hot compression deformation test study of high-strength low-alloy (HSLA) steel using the modified Z-A and Arrhenius models and discussed the accuracy of the two constitutive models [4]. Milani et al discussed the interaction among the parameters in the J-C model and proposed a multi-objective optimization approach to modify that model [5].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the High Temperature Plastic Deformation Characteristics of 18CrNi4A Steel and Establishment of a Modified Johnson–Cook Constitutive Model

Wang,

Jiang,

Wei

et al. 2023

Coatings

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To investigate the plastic deformation behavior of 18CrNi4A steel at high temperatures, an isothermal hot compression test was conducted on a Thermecmastor-Z series test machine at deformation temperatures from 1273 K to 1423 K and strain rates ranging from 0.01 s−1 to 10 s−1. The effects of these two factors on the flow stress were analyzed. Based on the true stress–strain experimental curves, the original Johnson–Cook constitutive model was applied to determine the flow stress data under different deformation conditions. The prediction results of the model were compared with the experimental data. The main reason for the large deviation observed between them was that the coupling relationship between the deformation temperature and the strain rate was not considered, so the original Johnson–Cook model was modified. The correlation coefficient and average absolute relative error of the original Johnson–Cook model were 0.962 and 16.36%. The prediction accuracy of the modified Johnson–Cook model was improved to 0.991 and 5.58%, respectively. The results show that the modified Johnson–Cook model exhibits higher prediction precision, which is beneficial for the broader application of 18CrNi4A steel in the industry.

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“…Traditional Arrhenius constitutive equation of determining apparent materials constants has been widely used. [18][19][20][21][22][23][24] However, it cannot meet the requirements for the physical nature of the material, and researchers hope to find a simple and effective physical constitutive equation that takes into account the internal microstructure of the material and can be used as a substitute or supplement for the traditional constitutive equation. At present, some studies on physical constitutive equations take account of metallurgical behaviors such as dislocation density, [25] dynamic recovery and dynamic recrystallization (DRX), [26] creep and diffusion, [27] and so on.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study on Hot Deformation Behaviors of Niobium Microalloyed Low‐Carbon and Medium‐Carbon Steels by Physical Constitutive Analysis

Wei

Deng

Zhou

et al. 2022

steel research int.

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Hot compression tests are performed on low‐carbon (LC) and medium‐carbon (MC) niobium microalloyed steels at temperatures of 900–1100 °C and strain rates of 0.01–10 s−1. The constitutive equations are studied by a physical method based on creep theory considering the relationship between the self‐diffusion coefficient, Young's modulus, and temperature. It is found that carbon addition in niobium microalloyed steels shows an obvious softening effect. The physical constitutive analysis indicates that the deformation mechanism of MC steel is the slide and climb of dislocation; however, other deformation mechanisms may occur in LC steel. The accuracy of the physical constitutive equations is quantified by employing correlation coefficient (R) and average absolute relative error (AARE). For LC steel, the R value of the equation containing exponent 5 and exponent n is 0.98 and 0.99; the AARE value is 9.06% and 4.15%, respectively, and the accuracy of the latter equation is significantly higher. For MC steel, the R value of the two equations is the same and equal to 0.99, the AARE value is 5.96% and 4.91%, respectively, the accuracy of the equations is quite close to each other. The accuracy analysis is also in reasonable agreement with the speculation of the deformation mechanism.

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Constitutive Modelling of a New High-Strength Low-Alloy Steel Using Modified Zerilli–Armstrong and Arrhenius Model

Cited by 16 publications

References 25 publications

Research on the Hot Deformation Process of A100 Steel Based on High-Temperature Rheological Behavior and Microstructure

Research on the Hot Deformation Process of A100 Steel Based on High-Temperature Rheological Behavior and Microstructure

Analysis of the High Temperature Plastic Deformation Characteristics of 18CrNi4A Steel and Establishment of a Modified Johnson–Cook Constitutive Model

A Comparative Study on Hot Deformation Behaviors of Niobium Microalloyed Low‐Carbon and Medium‐Carbon Steels by Physical Constitutive Analysis

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