Study of void closure in hot radial forging process using 3D nonlinear finite element analysis

Chen, J.; Chandrashekhara, K.; Mahimkar, Chirag; Lekakh, Semen Naumovich; Richards, Von

doi:10.1007/s00170-011-3876-3

Cited by 31 publications

(17 citation statements)

References 15 publications

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“…They found that with the precooled ingot surface, the hydrostatic stress at the central zone of the ingot was increased during forging so that the void closure became easier. Chen et al (2010) simulated the evolution of the spherical, cylindrical and tetrahedral voids during upsetting process, and found that the closure of tetrahedral void was most difficult. Besides, Dudra and Im (1990), Banaszek and Stefanik (2006) and Kim et al (2011) also carried out the FE simulations of the forging processes to investigate the influence of different parameters (such as the die shape, forming temperature, void shape, height reduction, etc.)…”

Section: Introductionmentioning

confidence: 99%

“…Combining the neural network with the FE simulation results, Chen et al (2011) developed a comprehensive procedure to predict the void closure during the cold rolling process. Chen et al (2012a) studied the void evolution in the hot radial forging process and proposed a globalelocal combined method to enhance the accuracy of the FE simulation.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A 3-D model for void evolution in viscous materials under large compressive deformation

Cao

Cui

2015

International Journal of Plasticity

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A 3-D model for void evolution in viscous materials under large compressive deformation

Cao

Cui

2015

International Journal of Plasticity

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“…3 Many researches on pore closure during hot working have been carried out to identify the relationship between the pore closure behaviour and parameters such as die shape, rolling reduction and forging ratio. Using finite element analysis, Chen et al 4 studied the pore closure behaviour in hot radical forging. The result shows that a V shaped die can produce more effective pore closure than a flat die in the radical forging process.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic pore healing model for prediction of relative density in heat treatment

Kan

Liu

Zhang

et al. 2014

Materials Research Innovations

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Porous defect is a common defect that can reduce the mechanical properties of the material. There are few published studies to predict the relative density considering the stochastic characteristics of the pore sizes. In the current study, a probabilistic pore healing model for the prediction of relative density in heat treatment is presented based on the pore size distribution of porous defect. The probabilistic distribution of pore sizes was introduced into a deterministic model of sintering by taking the parameter of pore radius as a random variable. Numerical integration was used to calculate the relative density of the porous material. A pore healing diagram for the 316L stainless steel is constructed with axes of relative density and temperature. The critical healing time and temperature can be determined using the pore healing diagram. Comparison was made between the calculated and experimental results. The results indicate that the probabilistic model is more precise than the deterministic model in predicting the relative density of the material.

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“…The advantages of precision forging are smooth surface finish, material savings, preferred fiber structure, and increased strength of forging product [1]. However, the forming process is an unsteady large deformation problem, so holes with cracks and other defects often appear; these defects will directly influence the properties and service life of forging product [2]. In order to obtain optimal properties of the forging product, it is important to investigate many factors such as the required process, the die design, and the selection of the process parameters.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization method of precision forging process parameters to control the forming quality

Zhu

Wang

Lv³

2015

Int J Adv Manuf Technol

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To control the precision forging product forming quality, a multi-objective optimization method for process parameters design was proposed by applying Latin hypercube design method and response surface model approach. Meanwhile, the deformation homogeneity and material damage of forging product was first presented for evaluating the forming quality. Then, as a case of study, the radial precision forging for a hollow shaft with variable cross section and wall thickness was carried out. The 3D rigid-plastic finite element (FE) model of the radial precision forging was established. The parameters on the forming quality evaluation function study were discussed to investigate the multi-objective optimization model. Non-dominated sorting genetic algorithm-II (NSGA-II) was adopted to obtain the Pareto-optimal solutions. A compromise solution was selected from the Pareto solutions by using the mapping method. Experiments with the same parameter settings were compared with the simulations. After conducting radial forging and mechanical property experimental study on the forging product by multi-objective optimization process parameters, the feasibility of the multiobjective optimization method for the precision forging product forming quality was verified.

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Study of void closure in hot radial forging process using 3D nonlinear finite element analysis

Cited by 31 publications

References 15 publications

A 3-D model for void evolution in viscous materials under large compressive deformation

A 3-D model for void evolution in viscous materials under large compressive deformation

Probabilistic pore healing model for prediction of relative density in heat treatment

Multi-objective optimization method of precision forging process parameters to control the forming quality

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