Flow Stress Prediction Model of 37CrS4 Special Steel Based on Dynamic Recrystallization

doi:10.11901/1005.3093.2020.344

Chinese Journal of Materials Research

2021, Vol. 35

Issue (4): 284-292 DOI: 10.11901/1005.3093.2020.344

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Flow Stress Prediction Model of 37CrS4 Special Steel Based on Dynamic Recrystallization

YANG Jingcheng¹, WANG Lizhong¹^,²(

), ZHONG Zhiping³, ZHENG Yingjun³

^1.School of Mechanical Engineering, Xinjiang University, Urumqi 830047, China
^2.State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China
^3.TaiCang Jiuxin Precision Toolings Co. , LTD, Suzhou 215400, China

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YANG Jingcheng, WANG Lizhong, ZHONG Zhiping, ZHENG Yingjun. Flow Stress Prediction Model of 37CrS4 Special Steel Based on Dynamic Recrystallization. Chinese Journal of Materials Research, 2021, 35(4): 284-292.

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Abstract

The flow stress behavior during hot compression of 37CrS4 at 950~1100℃, by strain rate in the range of 0.01 s^-1~10 s^-1 was investigated by means of single pass hot compression test with Gleeble-1500D thermal simulation machine. The results show that the true stress-strain curve of 37CrS4 special steel presents the occurrence of obvious dynamic recrystallization during high-temperature plastic deformation. The microstructure after hot deformation is typical lath martensite. The ratio of critical strain to peak strain of dynamic recrystallization behavior is 0.77162, and the fitting correlation is 0.9576. The softening mechanism of the material is the synergistic effect of dynamic recovery and dynamic recrystallization. The zener-Hollomon parameter (Z parameter) was introduced to establish the recrystallization kinetic model, and then the segmented flow stress constitutive model of 37CrS4 special steel based on dynamic recovery and dynamic recrystallization was obtained. The average correlation of the constitutive model is 0.9756. The predicted stress of the segmented constitutive model was consistent with the experimental stress, in fact, which could accurately predict the high temperature plasticity of 37CrS4 and the variation of flow stress during deformation.

Key words: metallic materials dynamic recrystallization constitutive model 37CrS4 work hardening critical strain

Received: 18 August 2020

ZTFLH:

TG146.2

Fund: National Natural Science Foundation of China(51865057)

About author: WANG Lizhong, Tel: 13772034988, E-mail: wanglz@mail.xjtu.edu.cn

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https://www.cjmr.org/EN/10.11901/1005.3093.2020.344 OR https://www.cjmr.org/EN/Y2021/V35/I4/284

Fig.1 Original microstructure of 37CrS4 steel

Fig.2 True stress-strain curve of 37CrS4 steel of 0.1 s^-1 with different temperatures (a) and at 1100℃ with different stain rates (b)

Fig.3 Metallographic diagram of microstructure during hot deformation of 37CrS4 in the conditions of at 1100℃, stain rates 0.01 s^-1 (a), 1 s^-1 (b), 10 s^-1 (c) and stain rates 0.1 s^-1, at 1050℃ (d), at 1000℃ (e), at 950℃ (f)

Fig.4 Work hardening curve of 37CrS4 steel in conditons of 0.1 s^-1with different temperatures (a) and at 1100℃ with different stain rates (b)

Fig.5 θ-σ curve (a)andlnθ-ε curve (b) in conditions of 1100℃、0.01 s^-1 cubic fitting relationship between work hardening rate and stress-strain for 37CrS4 steel

Fig.6 Linear fitting relationship of critical strain model of 37CrS4 steel

Fig.7 Linear relationship between ln[-ln(1-X_d)] and ln[(ε- ε_c)/ε_p]

Fig.8 Linear fitting relationship between the logarithm of material parameters and lnZ (a) lnZ with lnΩ; (b) lnZ with lnσ₀; (c) lnZ with lnε_cand lnε_p; (d) lnZ with lnsinh(ασ_sat)and lnsinh(ασ_ss)

Fig.9 Comparison of model predicted stress and test value (a) at different temperatures and strain rate is 0.1 s^-1, (b) at 1100℃ and different stain rates

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