Correction of flow stress and determination of constitutive constants for hot working of API X100 pipeline steel

Qian, Lingyun; Fang, Gang; Zhang, Pan; Wang, Li-Xiao

doi:10.1016/j.ijpvp.2015.05.008

Cited by 25 publications

(2 citation statements)

References 22 publications

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“…This condition is reached when a balance between work hardening and dynamic softening was attained, leading to reduced flow stress [20,21]. The flow stress-strain curves obtained by FEM simulation exhibited similar characteristic behaviour to those obtained from experimental data [22]. The simulation results obtained showed a similar trend to experimental data, hence finite element methods can be used to study metal flow behaviour.…”

Section: Flow Stress-strain Curvessupporting

confidence: 61%

Numerical simulation on the effect of sample geometry size on the metal flow behaviour during the forging process

Obiko

Mwema

2020

IOPSciNotes

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This paper reports on the effect of sample geometry size on the metal flow behaviour using Deform TM 3D finite element simulation software. The simulation process was done at forging temperature of 1100°C and upper die speed of 50 mm/second. The friction coefficient between the die and the sample interface was taken to be constant during the simulation process. The results of the effective stress and strain distribution in the deformed sample were reported. The results show that the effective stress and strain distribution in the deformed sample was non-uniformly distributed. The maximum effective strain occurred at the centre of the deformed sample for all the samples tested. The maximum effective stress occurred at the die-sample contact surface. At the contact surfaces, the effective stress decreased with a decrease in the sample size. The effective stress at the centre of the deformed sample increased with a decrease in the sample geometry size.

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Section: Flow Stress-strain Curvessupporting

confidence: 61%

Numerical simulation on the effect of sample geometry size on the metal flow behaviour during the forging process

Obiko

Mwema

2020

IOPSciNotes

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“…This classification depends on the computational parameters involved in quantifying the flow stress behaviour [8]. Because of the complexity of physical models, the Arrhenius constitutive model and the modified Arrhenius model have become popular in studying the relationship between flow stress and deformation parameters [8][9][10][11][12][13]. Several researchers have used the Arrhenius-type equation to investigate the flow stress behaviour of a variety of materials such as modified 9Cr-1Mo steel [3], P92 steel [7,12,13], 35CrMo steel [18], 20CrMo alloy steel [13], nickel-based superalloy [19], aluminium alloys [20] and magnesium alloys [21] and titanium alloys [22].…”

Section: Introductionmentioning

confidence: 99%

Metal flow behaviour and processing maps of high heat resistant steel during hot compression

Obiko

Chown

Whitefield

et al. 2022

Int J Adv Manuf Technol

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This article reports the flow stress behaviour of ASTM A335 P92 steel. Uniaxial isothermal compression experiments were conducted to examine the hot deformation behaviour of P92 steel in a Gleeble® 3500 thermal-mechanical simulator. The test conditions were: 0.01-10 s -1 strain rate and 850-1000°C deformation temperature. Constitutive equations and processing maps developed were used to describe the hot deformation process. The results showed that the flow stress-strain curves exhibited a dynamic recovery (DRV) behaviour as the dominant softening mechanism. The flow stress decreased with an increase in the deformation temperature or a decrease in strain rate.Using the Arrhenius equation, the stress exponent and the activation energy values were: 8.0 and 487.56 kJmol -1 , respectively. The correlation between the constructed processing maps and microstructure showed that the optimal process parameters occurred at a lower strain rate in the region of 0.1 s -1 and deformation temperatures of 900-950 °C and 1000 °C for the steel investigated.

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Determination of Hot Workability of 5Cr5MoSiV1 Steel Based on Hot Processing Map

Shang,

Wang,

Hao

et al. 2024

steel research int.

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The evaluation of the hot workability of 5Cr5MoSiV1 steel with high deformation resistance is crucial for the controllability of the hot forging process. Based on the isothermal compression at deformation temperature of 950–1200 °C and strain rate of 0.01–10 s−1, the flow behavior of 5Cr5MoSiV1 steel is demonstrated. As the strain rate increases, the typical characteristics of the true stress–strain curve indicate that the dynamic softening mechanism changes from dynamic recrystallization to dynamic recovery. Moreover, the hot working window determined by the hot processing map from the modified J–C constitutive model is constructed for the forging process of the material. Through microstructure verification, the optimal hot working window is within the range of deformation temperature from 1000 to 1185 °C and strain rate from 0.01 to 0.202 s−1. Furthermore, the forging upsetting tests of the large cylindrical specimens are used to confirm the insecurity of hot deformation parameters outside the optimum hot working window. The implementation of this study can provide a theoretical basis for the determination of hot forging process parameters for 5Cr5MoSiV1 steel.

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Correction of flow stress and determination of constitutive constants for hot working of API X100 pipeline steel

Cited by 25 publications

References 22 publications

Numerical simulation on the effect of sample geometry size on the metal flow behaviour during the forging process

Numerical simulation on the effect of sample geometry size on the metal flow behaviour during the forging process

Metal flow behaviour and processing maps of high heat resistant steel during hot compression

Determination of Hot Workability of 5Cr5MoSiV1 Steel Based on Hot Processing Map

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