Prediction of 42CrMo steel flow stress at high temperature and strain rate

Lin, Yanwei; Chen, Mingsong; Zhong, Jue

doi:10.1016/j.mechrescom.2007.10.002

Cited by 282 publications

(98 citation statements)

References 22 publications

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“…Due to its good balance of strength, toughness and wear resistance, 42CrMo high strength steel is widely used for many general purpose parts including automotive crankshaft, rams, spindles etc [1][2][3] . In the past, many investigations have been carried out on the behavior of 42CrMo steel [3][4][5][6][7] . Lin et al 4 established the flow stress constitutive equations of 42CrMo steel describing the relationships of flow stress, strain rate and temperature.…”

Section: Introductionmentioning

confidence: 99%

“…In the past, many investigations have been carried out on the behavior of 42CrMo steel [3][4][5][6][7] . Lin et al 4 established the flow stress constitutive equations of 42CrMo steel describing the relationships of flow stress, strain rate and temperature. Kim et al 7 investigate the effect of deformation mode on constitutive relations for 42CrMo steel by hot torsion and compression tests.…”

Section: Introductionmentioning

confidence: 99%

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Effect of temperatures and strain rates on the average size of grains refined by dynamic recrystallization for as-extruded 42CrMo steel

et al. 2013

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In order to study the dynamic recrystallization (DRX) behavior of as-extruded 42CrMo highstrength steel, a series of isothermal upsetting experiments were carried out in a temperature range of 1123~1348 K and a strain rate range of 0.01~10 s -1 on Gleeble 1500. It was found that DRX softening is more recognizable at higher temperatures and lower strain rates, and stress level increases with increasing strain rate and decreasing deformation temperature. The types of flow stress evolution were distinguished by the following three characteristics: WH followed by DRX, WH followed by DRV, and WH followed by no dynamic softening. At a fixed temperature, the average grain size refined by DRX linearly decreases with increasing strain rate in log scale. At a fixed strain rate, the average grain size remains almost constant below 1273 K, while it rapidly increases above 1273 K. At a larger strain rate, data set of grain sizes has a smaller standard deviation to the average size value, and data have tightly grouped. This indicates that as strain rate increases, the microstructure becomes more and more uniform. The relationships between the average grain size and Zener-Hollomon parameter were nonlinearly fitted by the equation D A = 319.81202 -13.6114 lnZ + 0.15322 (lnZ) 2 . The results from this equation show that the average grain size decreases with increasing Zener-Hollomon parameter. On the plot of D A versus lnZ, the regions corresponding to DRV (lnZ 37.8) and DRX (lnZ 37.8) were clarified clearly.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effect of temperatures and strain rates on the average size of grains refined by dynamic recrystallization for as-extruded 42CrMo steel

et al. 2013

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“…Although it can be obtained from metallographic testing, this requires a great deal of work and often entails some measurement error, as well as difficulty in the observation and analysis of metallographic models [36,37]. Lin et al [38] applied an empirical By substituting the strain rate and temperature of thermal deformation into Equation (10), the peak stress in the abovementioned function can be calculated under the corresponding deformation conditions. The comparison of the calculated and measured values under the constitutive relation of the aforementioned power-exponential function is shown in Figure 6.…”

Section: Determination Of the Critical Strainmentioning

confidence: 99%

“…Although it can be obtained from metallographic testing, this requires a great deal of work and often entails some measurement error, as well as difficulty in the observation and analysis of metallographic models [36,37]. Lin et al [38] applied an empirical model (εc = 0.8 εp) to establish a flow stress constitutive model considering DRX. In fact, the empirical model could have large errors because it is very difficult to guarantee the applicability of an empirical model to a particular material.…”

Section: Determination Of the Critical Strainmentioning

confidence: 99%

Constitutive Model Based on Dynamic Recrystallization Behavior during Thermal Deformation of a Nickel-Based Superalloy

Zhang

Chen

et al. 2016

Metals

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Abstract:The thermal deformation and dynamic recrystallization (DRX) behavior of a nickel-based superalloy were investigated by the thermal compression test. The experimental results show that the process parameters have great influence on the flow stress of the superalloy. In addition, there is an inflection point on the DRX softening stage of the work-hardening rate versus stress curve. DRX under the conditions of higher temperatures and lower strain rates easily occurs when the strain reaches a critical level. Based on the classical dislocation density theory and the DRX kinetics models, a two-stage constitutive model considering the effect of work hardening-dynamic recovery and DRX is developed for the superalloy. Comparisons between the predicted and experimental data indicate that the values predicted by the proposed constitutive model are in good agreement with the experimental results.

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“…Recently, the Arrhenius-type equation and their revised forms of phenomenological models were utilized to model the hot flow behaviors of many materials, such as Ti-6Al-4V 15 ,Ti60 16 , and pure titanium 17 , etc. Lin et al 18,19 and Quan et al 20 improved the initial Arrhenius-type equations by incorporating strain and some material parameters (such as structure factor A and activation energy of deformation Q) to obtain more accurate Arrhenius-type equation. Other phenomenological constitutive models involve the typical Johnson-Cook (JC) model and Khan-Huang-Liang (KHL) model etc., however, they exhibit large accuracy deviations at different strain rates and temperatures [21][22][23][24] .…”

Section: Introductionmentioning

confidence: 99%

Numerical Description of Hot Flow Behaviors at Ti-6Al-2Zr-1Mo-1V Alloy By GA-SVR and Relative Applications

et al. 2016

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Hot compression tests of as-cast Ti-6Al-2Zr-1Mo-1V alloy in a wide temperature range of 1073-1323 K and strain rate range of 0.01-10 s-1 were conducted by a servo-hydraulic and computer-controlled Gleeble-1500 machine. The hot flow behaviors of Ti-6Al-2Zr-1Mo-1V alloy show highly non-linear relationships with strain, strain rate and temperature. In order to accurately and effectively characterize the complex flow behaviors, support vector regression (SVR) which is a machine learning method was combined with Genetic Algorithm (GA) to characterize the flow behaviors, namely, the GA-SVR. The study abilities, generation abilities, and modeling efficiencies of the improved Arrhenius-type constitutive model, ANN, and GA-SVR for flow behaviors of as-cast Ti-6Al-2Zr-1Mo-1V alloy were detailedly compared. Comparison results show that the study ability of the GA-SVR is as strong as the ANN. The generation abilities and modeling efficiencies of these models were shown as follows in ascending order: the improved Arrhenius-type constitutive model < ANN < GA-SVR. Based on the established GA-SVR, the continuously three-dimensional relationships among flow stress, temperature, strain, and strain rate were constructed, which improve the simulation accuracy and related research fields where stress-strain data play important roles.

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Prediction of 42CrMo steel flow stress at high temperature and strain rate

Cited by 282 publications

References 22 publications

Effect of temperatures and strain rates on the average size of grains refined by dynamic recrystallization for as-extruded 42CrMo steel

Effect of temperatures and strain rates on the average size of grains refined by dynamic recrystallization for as-extruded 42CrMo steel

Constitutive Model Based on Dynamic Recrystallization Behavior during Thermal Deformation of a Nickel-Based Superalloy

Numerical Description of Hot Flow Behaviors at Ti-6Al-2Zr-1Mo-1V Alloy By GA-SVR and Relative Applications

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