Modified Johnson–Cook Constitutive Model of 18CrNiMo7-6 Alloy Steel under Ultrasonic Surface Burnishing Process

Liu, Zhihua; Zhao, Hao; Li, Jianpeng; Niu, Zhitao; Ji, Vincent

doi:10.1007/s11665-022-07392-1

Cited by 7 publications

(4 citation statements)

References 24 publications

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“…( 1) has the coefficient for controlling the strain rate sensitivity C, which was assumed to be constant in the previous analysis. To relieve the constant condition, similar works reported the parameters as function of strain rate and/or temperature [29][30][31][32][33].…”

Section: Analysis Of Jc Parameters Considering the Quasi-static Behav...mentioning

confidence: 99%

“…Consequently, researchers have proposed various modified versions of the JC hardening model in different ways. In many instances, modifications were introduced to the work hardening and strain rate hardening terms, aiming to enhance the precision of predictions under plastic deformation of metallic materials [29][30][31][32][33]. Additionally, in some cases, adjustments were made to the heat softening term by incorporating conditions that specifically consider the temperature causing the recovery and/or recrystallization [34].…”

Section: Introductionmentioning

confidence: 99%

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A Practical Inverse Identification of Johnson–Cook Parameters at Intermediate Strain Rates Using Split Hopkinson Pressure Bar Test

Jeong,

Hong,

Won

et al. 2024

Met. Mater. Int.

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A practical inverse method based on the hybrid experiment-finite element (FE) simulation is proposed for identifying strain rate sensitivity of a metal covering intermediate to dynamic loading conditions. The methodology uses the dynamic split Hopkinson pressure bar (SHPB) test for measuring mechanical responses at medium strain rates by optimizing temperature increase, non-uniform strain rate distributed in the non-standard notched SHPB specimens. From the standard dynamic SHPB test, the thermal softening index of the Johnson–Cook (JC) model is first determined by fitting the FE simulation to temperature changes in the specimen. The discrepancy between the measured and predicted flow stresses with the conventional JC model can be attributed to the assumption of constant strain rate sensitivity. Therefore, the new approach using the notched SHPB specimens under dynamic loadings is introduced to identify mechanical responses covering a broader range of strain rate. Finally, the strain rate sensitivity parameter in the JC model as a function of strain rate is evaluated through the inverse FE scheme, in which the sigmoidal function is determined to be optimum by predicting the flow stresses under wider range of strain rate, especially in the intermediate range of strain rate. The present study provides a new methodology based on hybrid experiment and numerical simulation to fill the gap in predicting mechanical responses between quasi-static and dynamic tests using commonly available tensile test and SHPB test. Graphical Abstract

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Section: Analysis Of Jc Parameters Considering the Quasi-static Behav...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Practical Inverse Identification of Johnson–Cook Parameters at Intermediate Strain Rates Using Split Hopkinson Pressure Bar Test

Jeong,

Hong,

Won

et al. 2024

Met. Mater. Int.

View full text Add to dashboard Cite

show abstract

“…Several scholars have developed material constitutive models to characterize the deformed behaviors of material based on experimental law. Liu et al [ 17 ] obtained the conventional J-C model of 18CrNiMo7-6 alloy steel by mechanical experiments at different strain rates. It found that the conventional J-C constitutive model could not precisely forecast the flow stress under high strain rate loading conditions.…”

Section: Introductionmentioning

confidence: 99%

Investigating the Dynamic Mechanical Properties and Strengthening Mechanisms of Ti-6Al-4V Alloy by Using the Ultrasonic Surface Rolling Process

Zha,

Yuan,

Qin

et al. 2024

Materials

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The demand for titanium alloy has been increasing in various industries, including aerospace, marine, and biomedical fields, as they fulfilled the need for lightweight, high-strength, and corrosion-resistant material for modern manufacturing. However, titanium alloy has relatively low hardness, poor wear performance, and fatigue properties, which limits its popularization and application. These disadvantages could be efficiently overcome by surface strengthening technology, such as the ultrasonic surface rolling process (USRP). In this study, the true thermo-mechanical deformation behavior of Ti-6Al-4V was obtained by dynamic mechanical experiment using a Hopkinson pressure bar. Moreover, USRP was applied on the Ti-6Al-4V workpiece with different parameters of static forces to investigate the evolution in surface morphology, surface roughness, microstructure, hardness, residual stress, and fatigue performance. The strain rate and temperature during the USRP of Ti-6Al-4V under the corresponding conditions were about 3000 s−1 and 200 °C, respectively, which were derived from the numerical simulation. The correlation between the true thermo-mechanical behavior of Ti-6Al-4V alloy and the USRP parameters of the Ti-6Al-4V workpiece was established, which could provide a theoretical contribution to the optimization of the USRP parameters. After USRP, the cross-sectional hardness distribution of the workpiece was shown to initially rise, followed by a subsequent decrease, ultimately to matrix hardness. The cross-sectional residual compressive stress distribution of the workpiece showed a tendency to initially reduce, then increase, and finally decrease to zero. The fatigue performance of the workpiece was greatly enhanced after USRP due to the effect of grain refinement, work hardening, and beneficial residual compressive stress, thereby inhibiting the propagation of the fatigue crack. However, it could be noted that the excessive static force parameter of USRP could induce the decline in surface finish and compressive residual stress of the workpiece, which eliminated the beneficial effect of the USRP treatment. This indicated that the choice of the optimal USRP parameters was highly crucial. This work would be conducive to achieving high-efficiency and low-damage USRP machining, which could be used to effectively guide the development of high-end equipment manufacturing.

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“…Y. Wang et al [24] modified the JC model with a new temperature term, and the error between the prediction data of the model and the experimental results was within 5%. Compared with all the research discussed above, the JC parameter study of ball burnishing has been rarely reported [25,26].…”

Section: Introductionmentioning

confidence: 99%

Modification of Johnson–Cook Constitutive Parameters in Ball Burnish Simulation of 7075-T651 Aluminum Alloy

Yin,

Zhao,

Chen

et al. 2023

Metals

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The Johnson–Cook model is widely used because of its ability to meet the simulation material requirements in various situations. However, under different working conditions, the accuracy of the model may have errors. In this work, based on Abaqus (Abaqus R2022 Education Edition, Dassault Systèmes, Paris, France) simulation software, Johnson–Cook (JC) constitutive model parameters and compression parameters were selected to simulate the improvement of surface roughness during the ball milling of a 7075-T651 aluminum alloy. In the numerical simulation of ball polishing, the changes in the residual stress field when the Johnson–Cook parameters change are analyzed. By comparing the numerically simulated residual stress fields under the JC parameters calculated at different strain rates, a set of parameters that agrees with the experimental values is selected. The results show that the residual stresses are in line with the experimental values when the strain rate is 10−4s −1. The changes in roughness corresponding to the selected parameters are analyzed. The results indicate that the simulated trend of roughness variation is consistent with the experimental values, and the optimal surface roughness value under a static pressure of 300 N is obtained.

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Modified Johnson–Cook Constitutive Model of 18CrNiMo7-6 Alloy Steel under Ultrasonic Surface Burnishing Process

Cited by 7 publications

References 24 publications

A Practical Inverse Identification of Johnson–Cook Parameters at Intermediate Strain Rates Using Split Hopkinson Pressure Bar Test

A Practical Inverse Identification of Johnson–Cook Parameters at Intermediate Strain Rates Using Split Hopkinson Pressure Bar Test

Investigating the Dynamic Mechanical Properties and Strengthening Mechanisms of Ti-6Al-4V Alloy by Using the Ultrasonic Surface Rolling Process

Modification of Johnson–Cook Constitutive Parameters in Ball Burnish Simulation of 7075-T651 Aluminum Alloy

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