Constitutive flow behaviour and finite element simulation of hot rolling of SiCp/2009Al composite

Zhou, Li; Huang, Zhengqin; Wang, C.Z.; Zhang, X.X.; Xiao, B.L.; Ma, Z.Y.

doi:10.1016/j.mechmat.2015.10.010

Cited by 28 publications

(9 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Finite element simulations have been extensively utilized for analyzing and optimizing metal forming processes like rolling and extrusion [6,7,8]. Constitutive models that express the flow behavior of materials at different loading conditions are essential as they are utilized as an input code for finite element models.…”

Section: Introductionmentioning

confidence: 99%

Constitutive Models for the Prediction of the Hot Deformation Behavior of the 10%Cr Steel Alloy

et al. 2019

View full text Add to dashboard Cite

The aim of this paper is to establish a reliable model that provides the best fit to the specific behavior of the flow stresses of the 10%Cr steel alloy at the time of hot deformation. Modified Johnson–Cook and strain-compensated Arrhenius-type (phenomenological models), in addition to two Artificial Neural Network (ANN) models were established with the view toward investigating their stress prediction performances. The ANN models were trained using Scaled Conjugate Gradient (SCG) and Levenberg–Marquardt (LM) algorithms. The prediction accuracy of the established models was evaluated using the following well-known statistical parameters: (a) correlation coefficient (R), (b) Average Absolute Relative Error (AARE), (c) Root Mean Squared Error (RMSE), and Relative Error (RE). The results showed that both of the modified Johnson–Cook and strain-compensated Arrhenius models could not competently predict the flow behavior. On the contrary, the results indicated that the two proposed ANN models precisely predicted the flow stress values and that the LM-trained ANN provided a superior performance over the SCG-trained model, as it yielded an RMSE of as low as 0.441 MPa.

show abstract

Section: Introductionmentioning

confidence: 99%

Constitutive Models for the Prediction of the Hot Deformation Behavior of the 10%Cr Steel Alloy

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Since new cutting tools were adopted during all the turning experiments, the polycrystalline diamond (PCD) tools in simulation were defined as rigid bodies for the sake of reducing the computational time with no loss in calculation accuracy. The workpiece material was modeled as elastic-plastic and the material properties of 17vol.% SiC p /2009Al composites and PCD tool are listed in Table 1 [24,25].…”

Section: Finite Element Modeling Proceduresmentioning

confidence: 99%

“…Material properties of 17vol.% SiC p /2009Al composites and polycrystalline diamond (PCD) tool[24,25].…”

mentioning

confidence: 99%

Experimental and Numerical Study of Edge Defects When Turning 17vol.% SiCp/2009Al Composites

Zhou

Xiang

et al. 2019

Applied Sciences

View full text Add to dashboard Cite

In this work, a three-dimensional large-deformation thermo-elastic-plastic finite element model for oblique cutting was established to analyze edge defects during the machining of 17vol.% SiCp/2009Al composites. The formation process of edge defects at the workpiece exit during turning was investigated, and the influence of depth of cut, feed rate, and spindle speed on the edge defect sizes at the workpiece exit was explored. The results show that a negative deformation plane began to form as the cutting tool approached the exit end of cut, and the resultant cracks propagated towards the negative shear deformation plane, which led to workpiece edge defects. In addition, the size of edge defects increased with increasing depth of cut and feed rate, while the spindle speed had less influence on the size of edge defects. The numerical results of the effects of cutting parameters on edge defects were also compared to those of the turning experimental data, and were found to be in reasonable agreement.

show abstract

“…For the finite element method (FEM) widely used in hot working analysis and optimization [10,11], the constitutive model of metal can be encoded into the relevant analysis software to define the material flow characteristics at various strain rates and deformation temperatures [12]. The use of the constitutive model embedded in the analysis software allows the simulation to fully describe the hot working behavior of the material [12,13], which can then provide reliable reference information for actual hot working to improve the process [14]. For example, Svyetlichnyy et al [15] developed the constitutive model of materials into FEM, and carried out a numerical simulation of the formation process of the corresponding material.…”

Section: Materials and Experimental Proceduresmentioning

confidence: 99%

Application of the Constitutive Model in Finite Element Simulation: Predicting the Flow Behavior for 5754 Aluminum Alloy during Hot Working

Liu

2017

Metals

View full text Add to dashboard Cite

Abstract:The flow behavior of 5754 aluminum alloy was researched using the plane strain compression test for the range of 300-500 • C and 0.1-10 s −1 . The experimental flow curves acquired directly from Gleeble-3500 show that deformation parameters have a significant effect on the flow curves. All curves show a broad peak due to the dynamic softening after the work hardening. In addition, the flow curves display a slight downward trend after reaching the peak stress at low and medium strain rates. This softening mechanism has been further investigated by the work hardening rate and the results show that the flow characteristics of 5754 aluminum alloy are mainly controlled by the mechanism of competition between hardening, dynamic recovery and continuous dynamic recrystallization. Based on the corrected true strain-stress curves, the constitutive model of the corresponding softening mechanism has been established by a linear regression method. Then, the developed model was embedded in the finite element (FE) analysis software (ABAQUS) by encoding the UHARD subroutine and the hot compression process of the alloy was simulated and analyzed. The simulation results show that the sample has an uneven flow in the deformation zone, which is consistent with the grain morphology of the corresponding region of the test sample. In addition, the simulated load-stroke values were well fitted to the experimental data. The predictive ability of the model was quantified by statistical indicators. It emerged that the FE of the embedded constitutive model effectively simulates the hot working process of 5754 aluminum alloy, which has reference value for actual processing.

show abstract

Constitutive flow behaviour and finite element simulation of hot rolling of SiCp/2009Al composite

Cited by 28 publications

References 27 publications

Constitutive Models for the Prediction of the Hot Deformation Behavior of the 10%Cr Steel Alloy

Constitutive Models for the Prediction of the Hot Deformation Behavior of the 10%Cr Steel Alloy

Experimental and Numerical Study of Edge Defects When Turning 17vol.% SiCp/2009Al Composites

Application of the Constitutive Model in Finite Element Simulation: Predicting the Flow Behavior for 5754 Aluminum Alloy during Hot Working

Contact Info

Product

Resources

About