A comparative study on modified and optimized Zerilli-Armstrong and arrhenius-type constitutive models to predict the hot deformation behavior in 30Si2MnCrMoVE steel

Li, Fan; Zhu, Chengcheng; Li, Shuangjiang; Jiang, Hong; Zhang, Peng; Yang, Ruigeng; Zhao, Shengdun

doi:10.1016/j.jmrt.2022.08.134

Cited by 37 publications

(3 citation statements)

References 53 publications

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“…One of the well-known physically based models is the Zerilli-Armstrong (ZA) model 21 . In fact, the original ZA model does not take deformation parameters into account; therefore, an accurate prediction for the flow behavior is not certified, and some modifications are introduced 39 – 42 . Samantaray et al 43 introduced one of the famous modifications for the ZA model, in which the coupled effect between temperature and both strain and strain rate are considered.…”

Section: Introductionmentioning

confidence: 99%

Modified Fields-Backofen and Zerilli-Armstrong constitutive models to predict the hot deformation behavior in titanium-based alloys

Shokry

2024

Sci Rep

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This work presents modifications for two constitutive models for the prediction of the flow behavior of titanium-based alloys during hot deformation. The modified models are the phenomenological-based Fields-Backofen and the physical-based Zerilli-Armstrong. The modifications are derived and suggested by studying the hot deformation of titanium-based alloy Ti55531. The predictability of the modified models along with the original Fields-Backofen and another modified Zerilli-Armstong models is assessed and evaluated using the well-known statistical parameters correlation coefficient (R), Average Absolute Relative Error (AARE), and Root Mean Square Error (RMSE), for the Ti55531 alloy, and validated with other two different titanium-based alloys SP700 and TC4. The results show that the modified Fields-Backofen gives the best performance with R value of 0.996, AARE value of 3.34%, and RMSE value of 5.64 MPa, and the improved version of the modified Zerilli-Armstrong model comes in the second-best place with R value of 0.992, AARE value of 3.52%, and RMSE value of 9.15 MPa for the Ti55531 alloy.

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Section: Introductionmentioning

confidence: 99%

Modified Fields-Backofen and Zerilli-Armstrong constitutive models to predict the hot deformation behavior in titanium-based alloys

Shokry

2024

Sci Rep

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“…Still, this model requires more material parameters, which are not easy to obtain, and high experimental accuracy should be guaranteed. The constitutive model established by the neural network isn’t easily implemented in finite element modeling [ 15 , 16 ]. In contrast, phenomenological models contain fewer parameters, which are easy to determine, making them popular in the finite element study of metal-forming processes [ 17 ].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Constitutive Relationship of Mg–Gd–Y–Zr–Ag Alloy during High Temperature Deformation Process

Peng

Zhang

et al. 2023

Materials

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The thermal deformation behavior of the Mg–Gd–Y–Zr–Ag alloy was studied by isothermal hot compression tests at high temperatures. The flow stress increased with increased strain rates and decreased temperatures, first increasing and finally remaining stable with increased strain. A hot processing map was built. Using the processing map and microstructural analysis, the temperature should remain at 673–773 K for this alloy to ensure the deformation quality. The primary softening mechanism is discontinuous dynamic recrystallization (DDRX). Rising temperatures and declining strain rates facilitated the emergence and growth of Dynamic recrystallization (DRX) grains. An original JC (O–JC) model and a modified JC (M–JC) model were established. The M–JC model indicated a better prediction than the O–JC model. Still, it was deficient in predicting flow stresses with insufficient coupling effects. Hence, based on the M–JC model, a newly modified JC (NM–JC) model, which further enhances the interaction between strain and strain rate as well as strain and temperature, is proposed. Its projected values can better align with the tested values.

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“…In contrast, the Z-A model is a physical constitutive model [6][7][8] with small calculation, concise expressions, and higher accuracy than other physical instants, which can better account for the effects of strain rate, temperature, and strain on the flow stress. In recent years, some scholars have started to study various alloys using the Z-A model, and initial progress has been obtained [7,9]. Sim et al [10] used the Z-A and Khan-Huang-Liang instantonal models to predict the thermal deformation behavior of Ti-22Al-25Nb alloy at 950-1070°C and 0.001-1s -1 and found that the optimized Z-A and KHL models were better predictors under the current study conditions and other deformation conditions, and the correlation coefficient of the Z-A model and the average relative error improved from 0.9773 and 8.73% before optimization to 0.9896 and 6.14%.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Thermal Deformation Behaviour of Ti2AlNb-Based Alloys Based on a Modified and Optimised Zerilli-Armstrong Model

Liu,

Wang,

et al. 2023

Advances in Transdisciplinary Engineering

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Isothermal constant strain rate compression of Ti2AlNb-based alloys was carried out using a Gleeble-3500 thermal simulation tester with deformation temperatures of 650-850°C, strain rate interval of 0.001–1s-1, on the basis of which a modified Zerilli-Armstrong model and an optimised Zerilli-Armstrong model were developed to describe the thermal deformation behaviour of Ti2AlNb-based alloys. The results show that the error between the predicted and experimental values of the modified Zerilli-Armstrong model is larger, with correlation coefficients R and EAR of 0.935 and 12.4% respectively, while the optimised Zerilli-Armstrong model can predict the flow stress better, with correlation coefficients R and EAR of 0.964 and 10.5% respectively. The optimised Zerilli-Armstrong model had high prediction accuracy and wider applicability, making it more suitable as a constitutive model for predicting the thermal deformation behaviour of Ti2AlNb-based alloys.

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A comparative study on modified and optimized Zerilli-Armstrong and arrhenius-type constitutive models to predict the hot deformation behavior in 30Si2MnCrMoVE steel

Cited by 37 publications

References 53 publications

Modified Fields-Backofen and Zerilli-Armstrong constitutive models to predict the hot deformation behavior in titanium-based alloys

Modified Fields-Backofen and Zerilli-Armstrong constitutive models to predict the hot deformation behavior in titanium-based alloys

Dynamic Constitutive Relationship of Mg–Gd–Y–Zr–Ag Alloy during High Temperature Deformation Process

Analysis of the Thermal Deformation Behaviour of Ti2AlNb-Based Alloys Based on a Modified and Optimised Zerilli-Armstrong Model

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