High temperatures deformation and formability behavior of DP590 steel: mechanical characterization and modeling

Seshacharyulu, K.; Mahalle, Gauri; Kotkunde, Nitin; Singh, Swadesh Kumar; Naik, B. Balu

doi:10.1007/s40430-021-03196-x

Cited by 6 publications

(5 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…ε and T. Thus, constitutive modelling has been widely applied in flow behaviour prediction [31][32][33][34][35][36][37][38][39][40] and forming simulation [41][42][43] studies. Constitutive models are classified into physically based constitutive models [27][28][29][30][31][32][33][34][35][36], phenomenological constitutive models [37][38][39][40][41][42][43][44][45][46][47][48][49][50][51][52], and machine learning-based modelling [53][54][55]. The optimal constitutive model should possess a moderate number of material parameters, which may be assessed via a few experimental data, and accurately predict the mechanical behaviour of materials over a wide range of rheological variables [50][51][52][53].…”

Section: Constitutive Modellingmentioning

confidence: 99%

“…ε and T without necessitating a comprehensive understanding of the rheological factors involved in the forming process [37][38][39][40][41][42]. These models are primarily derived through empirical fitting and regression analysis, making them particularly useful for modelling materials' flow behaviour and integrating with FE codes to replicate real-world forming processes under various conditions [43][44][45][46][47]. The Johnson-Cook (JC) model has gained popularity in various FE applications due to its fast computation speed, minimal computational demands, and straightforward formulation [48,49].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modelling the Flow Behaviour of Al Alloy Sheets at Elevated Temperatures Using a Modified Zerilli–Armstrong Model and Phenomenological-Based Constitutive Models

Abd El-Aty,

Xu,

Hou

et al. 2024

Materials

View full text Add to dashboard Cite

The flow behaviour of AA2060 Al alloy under warm/hot deformation conditions is complicated because of its dependency on strain rates (ε˙), strain (ε), and deformation modes. Thus, it is crucial to reveal and predict the flow behaviours of this alloy at a wide range of temperatures (T) and ε˙ using different constitutive models. Firstly, the isothermal tensile tests were carried out via a Gleeble-3800 thermomechanical simulator at a T range of 100, 200, 300, 400, and 500 °C and ε˙ range of 0.01, 0.1, 1, and 10 s−1 to reveal the warm/hot flow behaviours of AA2060 alloy sheet. Consequently, three phenomenological-based constitutive models (L-MJC, S1-MJC, S2-MJC) and a modified Zerilli–Armstrong (MZA) model representing physically based constitutive models were developed to precisely predict the flow behaviour of AA2060 alloy sheet under a wide range of T and ε˙. The predictability of the developed constitutive models was assessed and compared using various statistical parameters, including the correlation coefficient (R), average absolute relative error (AARE), and root mean square error (RMSE). By comparing the results determined from these models and those obtained from experimentations, and confirmed by R, AARE, and RMSE values, it is concluded that the predicted stresses determined from the S2-MJC model align closely with the experimental stresses, demonstrating a remarkable fit compared to the S1-MJC, L-MJC, and MZA models. This is because of the linking impact between softening, the strain rate, and strain hardening in the S2-MJC model. It is widely known that the dislocation process is affected by softening and strain rates. This is attributed to the interactions that occurred between ε and ε˙ from one side and between ε, ε˙, and T from the other side using an extensive set of constants correlating the constitutive components of dynamic recovery and softening mechanisms.

show abstract

Section: Constitutive Modellingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modelling the Flow Behaviour of Al Alloy Sheets at Elevated Temperatures Using a Modified Zerilli–Armstrong Model and Phenomenological-Based Constitutive Models

Abd El-Aty,

Xu,

Hou

et al. 2024

Materials

View full text Add to dashboard Cite

show abstract

“…When the strain is reduced to a certain limit value,

, sheet tensile instability occurs. The schematic diagram of the classical M–K theory is shown in Figure 2 a. M–K theory is commonly employed to predict local necking phenomena or evaluate forming limit strain, and it is a common method to calculate the forming limit curve (FLC) for local necking strain in thin sheet [ 31 , 32 ]. However, it should be noted that the classical M–K model assumes that the initial groove is perpendicular to the principal stress direction, so it is only suitable for calculating the ultimate strain in the right region of FLC [ 33 ].…”

Section: Definition Of Deformation Instabilitymentioning

confidence: 99%

Theory, Method and Practice of Metal Deformation Instability: A Review

Wan

Yao

et al. 2023

Materials

View full text Add to dashboard Cite

Deformation instability is a macroscopic and microscopic phenomenon of non-uniformity and unstable deformation of materials under stress loading conditions, and it is affected by the intrinsic characteristics of materials, the structural geometry of materials, stress state and environmental conditions. Whether deformation instability is positive and constructive or negative and destructive, it objectively affects daily life at all times and the deformation instability based on metal-bearing analysis in engineering design has always been the focus of attention. Currently, the literature on deformation instability in review papers mainly focuses on the theoretical analysis of deformation instability (instability criteria). However, there are a limited number of papers that comprehensively classify and review the subject from the perspectives of material characteristic response, geometric structure response, analysis method and engineering application. Therefore, this paper aims to provide a comprehensive review of the existing literature on metal deformation instability, covering its fundamental principles, analytical methods, and engineering practices. The phenomenon and definition of deformation instability, the principle and viewpoint of deformation instability, the theoretical analysis, experimental research and simulation calculation of deformation instability, and the engineering application and prospect of deformation instability are described. This will provide a reference for metal bearing analysis and deformation instability design according to material deformation instability, structural deformation instability and localization conditions of deformation instability, etc. From the perspective of practical engineering applications, regarding the key problems in researching deformation instability, using reverse thinking to deduce and analyze the characteristics of deformation instability is the main trend of future research.

show abstract

“…The material undergoes a homogeneous Newtonian flow when m is close to 1, and the flow behavior transforms to non-Newtonian flow when m is no more than 0.5 [25]. According to the Backofen function [26], i.e., s = K ε  m , the strain rate sensitivity m can be determined by the slope of lgsflow verses lg ε  , where sflow is defined as the peak-yield stress and K is a constant. Figure 5 compares the double logarithmic plots of stress as a function of the strain rate for the samples deformed at different temperatures.…”

Section: Deformation Behaviormentioning

confidence: 99%

Section: Deformation Behaviormentioning

confidence: 99%

Superplastic Forming of Zr-Based Bulk Metallic Glasses

Zhang,

Zhao,

Xiao

et al. 2023

Metals

View full text Add to dashboard Cite

In this paper, the partially crystallized Zr70Cu13.5Ni8.5Al8 bulk metallic glasses (BMGs) were prepared, and their superplastic deformation ability in the supercooled liquid region was studied via compression over a wide range of strain rates from 5 × 10−4 s−1 to 1 × 10−2 s−1. It has been found that the superplastic deformation behavior of the BMGs is strongly dependent on the strain rate and temperature. The flow behavior of the BMGs transformed from Newtonian fluid to non-Newtonian fluid with the increase in the strain rate and the decrease in temperature. Based on the high-temperature compression results, a thermalplastic forming map was constructed, and the optimal superplastic forming parameters were obtained. Then, gears were successfully extruded using part of the optimal thermal processing parameters. Further studies showed that high-temperature extrusion induced the crystallization of the BMGs, which increased the microhardness of the gears.

show abstract

High temperatures deformation and formability behavior of DP590 steel: mechanical characterization and modeling

Cited by 6 publications

References 31 publications

Modelling the Flow Behaviour of Al Alloy Sheets at Elevated Temperatures Using a Modified Zerilli–Armstrong Model and Phenomenological-Based Constitutive Models

Modelling the Flow Behaviour of Al Alloy Sheets at Elevated Temperatures Using a Modified Zerilli–Armstrong Model and Phenomenological-Based Constitutive Models

Theory, Method and Practice of Metal Deformation Instability: A Review

Superplastic Forming of Zr-Based Bulk Metallic Glasses

Contact Info

Product

Resources

About