Plastic flow behavior based on thermal activation and dynamic constitutive equation of 25CrMo4 steel during impact compression

Li, Dingyuan; Zhu, Zhiwu; Xiao, Shoune; Zhang, Guanghan; Lu, Yesen

doi:10.1016/j.msea.2017.09.077

Cited by 24 publications

(6 citation statements)

References 15 publications

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“…Physical and mechanical properties were extracted from Davis et al [23], and chemical compositions of H13, 25CrMo4. 53 HRC, AISI3310, and AISI316 were obtained from [24][25][26][27][28][29], respectively. Material selection criteria for die components included Young's modulus, hardness of the workpiece material, and availability on the market.…”

Section: Materials Geometrical Dimensions and Process Parametersmentioning

confidence: 99%

Selection of Die Material and Its Impact on the Multi-Material Extrusion of Bimetallic AZ31B–Ti6Al4V Components for Aeronautical Applications

2021

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This paper investigates the effect that the selection of the die material generates on the extrusion process of bimetallic cylindrical billets combining a magnesium alloy core (AZ31B) and a titanium alloy sleeve (Ti6Al4V) of interest in aeronautical applications. A robust finite element model is developed to analyze the variation in the extrusion force, damage distribution, and wear using different die materials. The results show that die material is a key factor to be taken into account in multi-material extrusion processes. The die material selection can cause variations in the extrusion force from 8% up to 15%, changing the effect of the extrusion parameters, for example, optimum die semi-angle. Damage distribution in the extrudate is also affected by die material, mainly in the core. Lastly, die wear is the most affected parameter due to the different hardness of the materials, as well as due to the variations in the normal pressure and sliding velocity, finding critical values in the friction coefficient for which the die cannot be used for more than one forming stage because of the heavy wear suffered. These results can potentially be used to improve the efficiency of this kind of extrusion process and the quality of the extruded part that, along with the use of lightweight materials, can contribute to sustainable production approaches.

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Section: Materials Geometrical Dimensions and Process Parametersmentioning

confidence: 99%

Selection of Die Material and Its Impact on the Multi-Material Extrusion of Bimetallic AZ31B–Ti6Al4V Components for Aeronautical Applications

2021

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“…Hao et al [15] studied the plastic deformation behavior of nickel-based superalloy 718 at strain rate of 5 × 10 3 –10.5 × 10 3 s −1 and deformation temperature of 500–800 °C, and established the complex rheological stress constitutive equation to describe the processing hardening and softening in plastic deformation behavior. Li et al [16] studied the mechanical properties of 25CrMo4 steel, established the constitutive equation by using the stress-strain data obtained from quasi-static and stamping tests, and verified the accuracy based on the structural variation of the grain centroid cubic and face-centered cubic of 25CrMo4 steel, which provided a reference for practical engineering analysis. Zhao et al [17] established visco-plastic constitutive equation based on the principle of mechanics to predict the visco-plastic flow of TA15 alloy in plastic deformation.…”

Section: Introductionmentioning

confidence: 99%

Hot Deformation Characteristics—Constitutive Equation and Processing Maps—of 21-4N Heat-Resistant Steel

et al. 2018

Materials

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The hot deformation behavior of 21-4N heat-resistant steel was studied by hot compression test in a deformation temperature range of 1000–1180 °C, a strain rate range of 0.01–10 s−1 and a deformation degree of 60%, and the stress-strain curves were obtained. The functional relationship between flow stress and process parameters (deformation degree, deformation temperature, strain rate, etc.) of 21-4N heat-resistant steel during hot deformation was explored, the constitutive equation of peak stress was established, and its accuracy was verified. Based on the dynamic material model, the energy dissipation maps and destabilization maps of 21-4N heat-resistant steel were established at strains of 0.2, 0.4 and 0.6, and processing maps were obtained by their superposition. Within the deformation temperature range of 1060~1120°C and a strain rate range of 0.01–0.1 s−1, there is a stable domain with the peak efficiency of about 0.5. The best hot working parameters (strain rate and deformation temperature) of 21-4N heat-resistant steel are determined by the stable and instable domain in the processing maps, which are in the deformation temperature range of 1120–1180 °C and the strain rate range of 0.01–10 s−1.

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“…The implemented data were determined for a strain rate of 0.01 s À1 (cylindrical specimen of Ø5 Â 4 mm). 50 F I G U R E 6 (A) Boundary conditions of input parameters (Equation 3) for the total loading F c from the disk brake and (B) cross section of the joint and local mesh 3D FE model. The fatigue behavior of a welded joint is not clearly defined by the local stress at a curvilinear edge along the weld toe.…”

Section: Numerical Model Of Welded Jointmentioning

confidence: 99%

“…The material model was fitted to a quasi‐static compression stress–strain curve for chromium–molybdenum steel (yield strength 560 MPa and estimated tangent modulus 3000 MPa). The implemented data were determined for a strain rate of 0.01 s −1 (cylindrical specimen of Ø5 × 4 mm) 50 …”

Section: Numerical Model Of Welded Jointmentioning

confidence: 99%

Nonlocal approach to fatigue analysis of a welded bicycle frame joint

Tomaszewski

2023

Fatigue Fract Eng Mat Struct

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The paper attempts to predict the probabilistic fatigue strength scatter bands of a welded bicycle frame joint. The experimental data of the base material and the weld material were approximated by a nonlinear probabilistic model of the Weibull distribution. The fatigue strength for the material at the fatigue crack location was estimated considering the mean stress, residual stress, fatigue notch factor, and hardness profile. The output finite element numerical data of the real welded joint were compared with a nonlocal multiaxial fatigue criterion. The implementation of the volumetric method takes into account the stress gradient effect in the three‐dimensional geometry of the weld toe. The comparative localization of the minimum stress and the real crack indicates the validity of the numerical model. The predicted fatigue strength determines the possible failure of a welded joint at 5·105 cycles.

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Plastic flow behavior based on thermal activation and dynamic constitutive equation of 25CrMo4 steel during impact compression

Cited by 24 publications

References 15 publications

Selection of Die Material and Its Impact on the Multi-Material Extrusion of Bimetallic AZ31B–Ti6Al4V Components for Aeronautical Applications

Selection of Die Material and Its Impact on the Multi-Material Extrusion of Bimetallic AZ31B–Ti6Al4V Components for Aeronautical Applications

Hot Deformation Characteristics—Constitutive Equation and Processing Maps—of 21-4N Heat-Resistant Steel

Nonlocal approach to fatigue analysis of a welded bicycle frame joint

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