Dynamic constitutive relationship of CuCrZr alloy based on Johnson-Cook model

Compression Tests at High Strain Rate on 3D-Printed CuCrZr Alloy Specimens - Material Model Calibration

“…In order to find the most appropriate constitutive model for 3D-printed CuCrZr alloy specimens deformed at high strain rate, the most common analytical equations have been selected and applied to describe the behavior of experimental data. The first constitutive model selected is Johnson-Cook (J-C); it is a phenomenological model based on Von Mises plasticity and considers the effects of strain hardening, strain rate hardening and temperature softening (5). The second constitutive model selected is the Zerilli-Armstrong (Z-A), which is based on the dislocation mechanisms, and it considers the coupled effects of strain rate and temperature (6).…”

“…Because of these properties, CuCrZr alloy has been used to produce actively cooled components for high heat flux elements of beamlines and for heat sink of plasma-facing components in nuclear fusion devices such as ITER and DEMO [2][3][4] leading to extend its application in the field of strain rate studies, where strain rate dependency is playing an important role for vertical target plasma-facing units components uses as heat sink or as structural material for actively cooled plasma facing components. Recent studies demonstrated as the CuCrZr alloy stress-strain curve has the typical characteristics of strain rate hardening and temperature softening effect and to correctly describe the constitutive relationship of the material a modified Johnson-Cook model is required [5]. Moreover, the effects of stress triaxiality and the applied strain rate on tensile fracture characteristics of CuCrZr alloy has been investigated [6].…”

Mechanical Properties and Fracture Behavior of a TC4 Titanium Alloy Sheet

“…The key to establishing the Johnson–Cook constitutive model and failure model of TC4 titanium alloy is to estimate the material parameters in the model in accordance with the existing experimental data. In this paper, the material constants of the TC4 titanium alloy were obtained in accordance with the stepwise estimation method [ 38 , 39 , 40 ]. As the experimental data were measured at room temperature, Equations (3) and (4) could be simplified as follows without considering the thermal softening effect of the materials: …”

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

“…Indeed, the strain, strain rate, and temperature are interconnected [ 64 , 65 , 66 ]. In order to improve the accuracy of predictions made by the original JC model for different materials, many modified JC-based models have been presented [ 48 , 53 , 56 , 63 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 , 79 , 80 , 81 , 82 , 83 , 84 , 85 , 86 , 87 , 88 , 89 , 90 , 91 , 92 , 93 , 94 , 95 , 96 , 97 ]. Therefore, this study will be limited to studying the predictability of JC and modified JC-based models.…”