The investigation on Johnson-Cook model and dynamic mechanical behaviors of ultra-high strength steel M54

Li, Xianyu; Zhang, Zhaohui; Cheng, Xingwang; Liu, Xiuping; Zhang, Shun-Zhong; Wang, Qiang; Liu, Luo‐Jin

doi:10.1016/j.msea.2022.142693

Cited by 30 publications

(7 citation statements)

References 23 publications

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“…Since ε f is the plastic strain equivalent to fracture, D 1 , D 2 , D 3 , D 4 and D 5 material constants and σ*, the stress triaxiality [20], it is possible to define a damage model sufficiently faithful to reality, obviating the influence of the strain rate (D 4 = 0) and temperature (D 5 = 0). .…”

Section: Tensile Testsmentioning

confidence: 99%

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Study and Optimization of the Punching Process of Steel Using the Johnson–Cook Damage Model

Claver,

Acosta,

Barba

et al. 2024

Metals

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Sheet metal forming processes are widely used in applications such as those in the automotive or aerospace industries. Among them, punching is of great interest due to its high productivity and low operating cost. However, it is necessary to optimize these processes and adjust their parameters, such as clearance, shear force or tool geometry, to obtain the best finishes and minimize crack generation. Thus, the main objective of this research work is to optimize the punching process to achieve parts that do not require subsequent processes, such as deburring, by controlling the properties of the starting materials and with the help of tools such as design of experiments and simulations. In the present study, tensile tests were performed on three steels with different compositions and three sample geometries. The information obtained from these tests has allowed us to determine the parameters of the Johnson–Cook damage criteria. Moreover, punching was performed on real parts and compared with simulations to analyze the percentage of burnish surface. The results obtained show that the methodology used was correct and that it can be extrapolated to other types of die-cutting processes by reducing the percentage of surface fractures and predicting the appearance of cracks. Furthermore, it was observed that clearance has a greater influence than processing speed, while the minimum percentage of the burnish area was observed for the minimum values of clearance.

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Section: Tensile Testsmentioning

confidence: 99%

“…This damage model defines the material fracture as a function of triaxiality, the plastic deformation rate and temperature [19]. Using this damage model, it is possible to predict damage and fracture in metallic materials subjected to dynamic loads [20].…”

Section: Introductionmentioning

confidence: 99%

Study and Optimization of the Punching Process of Steel Using the Johnson–Cook Damage Model

Claver,

Acosta,

Barba

et al. 2024

Metals

View full text Add to dashboard Cite

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“…The workpiece and tool are meshed with triangular continuum elements in the FE model, as shown in Figure 2b. As reported by Li et al [26], the Johnson-Cook model is used to describe the material constitutive relationship, which defines the flow stress as a function of equivalent strain, strain rate and temperature as follows: (17) where A jc , B jc , C jc , m jc and n jc are the J-C model parameters. T m , T r and T w represent the melting temperature of the workpiece material, room temperature and workpiece temperature, respectively.…”

Section: Finite-element Model For Orthogonal Cuttingmentioning

confidence: 99%

A Multiphysics Model for Predicting Microstructure Changes and Microhardness of Machined AerMet100 Steel

et al. 2022

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The machined-surface integrity plays a critical role in corrosion resistance and fatigue properties of ultra-high-strength steels. This work develops a multiphysics model for predicting the microstructure changes and microhardness of machined AerMet100 steel. The variations of stress, strain and temperature of the machined workpiece are evaluated by constructing a finite-element model of the orthogonal cutting process. Based on the multiphysics fields, the analytical models of phase transformation and dislocation density evolution are built up. The white layer is modeled according to the phase-transformation mechanism and the effects of stress and plastic strain on real phase-transformation temperature are taken into consideration. The microhardness changes are predicted by a model that accounts for both dislocation density and phase-transformation evolution processes. Experimental tests are carried out for model validation. The predicted results of cutting force, white-layer thickness and microhardness are in good agreement with the measured data. Additionally, from the proposed model, the correlation between the machined-surface characteristics and processing parameters is established.

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“…The hot working parameters can be optimized by employing finite element simulations of the hot deformation process [ 21 , 22 , 23 , 24 , 25 , 26 ], in which the constitutive modeling of the flow stress behavior of alloys plays a significant role [ 27 , 28 , 29 ]. In addition to the importance of hot deformation, modeling the flow stress and plastic deformation of metals and alloys that are employed in applications under severe conditions such as very high strain rates (dynamic loadings) and different temperatures is also essential [ 30 , 31 , 32 ].…”

Section: Introductionmentioning

confidence: 99%

On the Prediction of the Flow Behavior of Metals and Alloys at a Wide Range of Temperatures and Strain Rates Using Johnson–Cook and Modified Johnson–Cook-Based Models: A Review

et al. 2023

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This paper reviews the flow behavior and mathematical modeling of various metals and alloys at a wide range of temperatures and strain rates. Furthermore, it discusses the effects of strain rate and temperature on flow behavior. Johnson–Cook is a strong phenomenological model that has been used extensively for predictions of the flow behaviors of metals and alloys. It has been implemented in finite element software packages to optimize strain, strain rate, and temperature as well as to simulate real behaviors in severe conditions. Thus, this work will discuss and critically review the well-proven Johnson–Cook and modified Johnson–Cook-based models. The latest model modifications, along with their strengths and limitations, are introduced and compared. The coupling effect between flow parameters is also presented and discussed. The various methods and techniques used for the determination of model constants are highlighted and discussed. Finally, future research directions for the mathematical modeling of flow behavior are provided.

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The investigation on Johnson-Cook model and dynamic mechanical behaviors of ultra-high strength steel M54

Cited by 30 publications

References 23 publications

Study and Optimization of the Punching Process of Steel Using the Johnson–Cook Damage Model

Study and Optimization of the Punching Process of Steel Using the Johnson–Cook Damage Model

A Multiphysics Model for Predicting Microstructure Changes and Microhardness of Machined AerMet100 Steel

On the Prediction of the Flow Behavior of Metals and Alloys at a Wide Range of Temperatures and Strain Rates Using Johnson–Cook and Modified Johnson–Cook-Based Models: A Review

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