Constitutive relationship and microstructure for 20CrMnTiH steel during warm deformation

Chai, Rongxia; Su, Wenbin; Guo, Cheng; Zhang, Fa-fu

doi:10.1016/j.msea.2012.07.015

Cited by 16 publications

(4 citation statements)

References 15 publications

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“…Since the computer simulation of metal forming processes is used increasingly in the industry and any feasible mathematical simulation needs accurate flow description, a proper flow stress model is a preliminary requirement. As a result, considerable research has been carried out to model the flow stress of metals and alloys (Anand, 1985;Ahmed et al, 2005;Brown et al, 1989;Lin and Chen, 2011;Luo et al, 2010;Mirzadeh, 2014a;Mirzadeh, 2015a;Mirzadeh, 2015b;Parsa and Ohadi, 2013;Sun et al, 2010;Zhang et al, 2009;Samantaray et al, 2009;Cai et al, 2015;Chai et al, 2012). Johnson and Cook (1983) proposed the most common constitutive equation by consideration of the effects of strain, strain rate, and deformation temperature, separately.…”

Section: Introductionmentioning

confidence: 99%

A simple Zerilli–Armstrong constitutive equation for modeling and prediction of hot deformation flow stress of steels

Mirzaie

Mirzadeh

Cabrera

2016

Mechanics of Materials

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Generally, the dislocation-mechanics-based constitutive relations are applicable at high strain rates and relatively low temperatures. However, for expressing flow stress at elevated temperatures, it is required to account for the diffusion processes, namely softening effects of dynamic recovery (DRV) and dynamic recrystallization (DRX). In the current work, the Zerilli-Armstrong constitutive equation for face-centered cubic materials was appropriately modified by incorporation of peak strain and consideration of both hardening and softening phenomena. The developed constitutive relation was successfully applied to model the hot flow stress of a typical carbon steel and it was revealed that there is no need to alter the physically-based nature of the Zerilli-Armstrong constitutive equation by extensive modifications.

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Section: Introductionmentioning

confidence: 99%

A simple Zerilli–Armstrong constitutive equation for modeling and prediction of hot deformation flow stress of steels

Mirzaie

Mirzadeh

Cabrera

2016

Mechanics of Materials

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“…According to the Origin software, it can be obtained that the R-square value is 0.97 and it is very close to 1, which expresses the line relationship between HV and D −1/2 is relatively high, thus HV values of 20CrMnTiH steel can be predicted by the recrystallised grain size D during hot deformation according to Equation (5).…”

Section: Recrystallised Grain Size D Effect On Hvmentioning

confidence: 96%

“…Feng et al proposed the exponential law and the hyperbolic sine-type function constitutive equation to describe the relationship among , T and by studying high temperature deformation behaviour of 20CrMnTiH steels [4]. Chai et al proposed a modified Zerilli–Armstrong (ZA) model based upon the original ZA model and Johnson–Cook model to describe the flow stress under different deformation conditions and analysed the dynamic softening features during warm forming 20CrMnTiH steel [5]. Besides, Chai et al investigated the deformation behaviour and proposed a constitutive equation coupling flow stress with strain, strain rate and temperature using a hyperbolic sine equation during hot forming 20CrMnTiH steel [6].…”

Section: Introductionmentioning

confidence: 99%

Microstructure and Vickers-hardness of 20CrMnTiH steel during hot compression testing

Qin

Feng

2017

Ironmaking & Steelmaking

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The isothermal hot compression tests of 20CrMnTiH steel were carried out by using Gleeble-3500 thermo-simulation-machine at deformation temperatures ranging from 1123 to 1423 K and at strain rates ranging from 0.01 to 1 s −1 . The microstructural characteristics after hot compression under various deformation conditions were described with optical microscope and EBSD method, meanwhile the Vickers-hardness (HV) corresponding to the samples was measured. The straininduced fine and uniform recrystallised grains instead of the original coarse microstructure and higher hardness were obtained with increasing strain rate and decreasing deformation temperature. The average misorientation angle got increased and an intense α-fibre texture was dominated with increasing temperature, and then the angle decreased when the temperature increase to 1423 K. By introducing Zener-Hollomon (Z) parameter, the relationship of recrystallised grain size (D) and HV under different Z values were generated. The relationship of 20CrMnTiH steel recrystallised grain size (D) and HV was formulated based on the analysis of the experimental data, which is in agreement with Hall-Petch relationship.

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“…Liu analyzed the influences of main forging parameters on the flow stress of 20CrMnTiH steel by taking flow stress as an objective function, and obtained the mathematical models for flow stress based on statistical analysis [2]. Chai proposed a modifiedZerilli-Armstrong (ZA) model based upon the original ZA model and Johnson-Cook model to describe the flow stress of 20CrMnTiH steel under different deformation conditions [3].Wu obtained the true stress-true strain curves and built the mathematical models using a modified Zener-Hollomon parameter considering the compensation of strain rate based on Arrhenius equation by analyzing the experimental data of 20CrMnTiH steel [4]. Feng established the flow stress and the dynamic recrystallization model of 20CrMnTiH, which proved that higher temperature and lower strain rate were favorable to the increase of dynamic recrystallization of 20CrMnTiH based on the regression analysis of experimental data [5].…”

Section: Introductionmentioning

confidence: 99%

The Austenite Grain Growth Behavior and Mathematical Model of 20CrMnTiH

Wang¹,

Feng²,

Guan³

et al. 2016

Proceedings of the 2nd Annual International Conference on Advanced Material Engineering (AME 2016)

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Abstract. The 20CrMnTiH gear steel was heated at temperature range from 850°C to 1250°C and at holding time range from 0s to 480s to obtain the law of austenite grain growth by using Gleeble-3500 thermo-simulation-machine in this research. The effects of heating temperature and holding time on austenite grain growth behavior were investigated. The results show that austenite grain size increased with the increase of heating temperature and the extension of holding time. By introducing the Sellars model, the austenite grain growth model was developed based on the analysis of experiment data. According to the comparison of calculated values with experiment values, the calculated results are in good agreement with the experimental results.

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Constitutive relationship and microstructure for 20CrMnTiH steel during warm deformation

Cited by 16 publications

References 15 publications

A simple Zerilli–Armstrong constitutive equation for modeling and prediction of hot deformation flow stress of steels

A simple Zerilli–Armstrong constitutive equation for modeling and prediction of hot deformation flow stress of steels

Microstructure and Vickers-hardness of 20CrMnTiH steel during hot compression testing

The Austenite Grain Growth Behavior and Mathematical Model of 20CrMnTiH

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