Simulation of radial forging conditions by third hits hot compression tests

Bapari, Afshin; Najafizadeh, A.; Moazeny, Mohammad; Shafyei, A.

doi:10.1016/j.msea.2008.01.087

Cited by 11 publications

(3 citation statements)

References 27 publications

(26 reference statements)

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“…From the flow curves, it could determine the values of the fractional softening that takes place between passes. The fractional softening was calculated by means of the following expression [3,4] .…”

Section: Multi-pass Hot Compression Simulation and Analysismentioning

confidence: 99%

Microstructure Evolution Characterization of Multi-Pass Hot Rolling Simulation of Nb-Ti Microalloyed Steel

Shen

Zhu

Zhang

2014

AMR

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In this study, a improved mathematical model was developed for Nb-Ti microalloyed steel during hot rolling simulation. Using the compression test, the dynamic and static recrystallization characteristics of Nb-Ti microalloyed steel were studied. Though multi-pass hot rolling simulation, it is found that the recrystallization during hot rolling can play an important role, it can make the mean flow stress lower and refine the grains. And respective comparison between calculated and measured data of microstructure showed some of the validation of the built model. Meanwhile, the evolution characteristic of average austenite grain size during hot rolling can be achieved by theoretical model and experiment.

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Section: Multi-pass Hot Compression Simulation and Analysismentioning

confidence: 99%

Microstructure Evolution Characterization of Multi-Pass Hot Rolling Simulation of Nb-Ti Microalloyed Steel

Shen

Zhu

Zhang

2014

AMR

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“…However, the two theoretical analysis methods mentioned above are limited to two-dimensional mathematical model analysis, ignoring the circumferential inhomogeneity in three-dimensional space, while the finite element method can more accurately and intuitively characterize the changes in metal flow [13], strain and stress distribution [14], thermodynamic problems [15], and microstructure evolution [16] during radial forging and forming of forgings compared with the analytical methods mentioned above.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization of concave radial forging process parameters based on response surface methodology and genetic algorithm

Du,

Xu,

Wang

et al. 2024

Int J Adv Manuf Technol

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In order to improve the forming quality of the forging and reduce the forging cost in the concave radial forging process. In this paper, the influence of process parameters (radial reduction ∆h, rotation angle β, friction coefficient μ) on the forging process is investigated by numerical simulation, and the trade-off between the objective functions (strain homogeneity 𝐸, forging load 𝐹) is achieved by a multi-objective optimization method. First, sample points for different combinations of process parameters were obtained by the central composite experimental design. Then the mathematical model between the process parameters and the objective function was established using the response surface method, and the model was subjected to variance analysis and sensitivity analysis. Finally, the optimal process parameter combination was obtained according to the NSGA-II algorithm and the satisfaction function. The optimization results were also verified by finite element simulations. The optimized process combination: ∆ℎ = 0.25 𝑚𝑚, 𝛽 = 21.68°, 𝜇 = 0.05. The corresponding 𝐸 and 𝐹 are 0.241367 and 577.029, respectively. Compared with the initial process, the standard deviation of the overall strain is reduced by 14.25% and the forging load is reduced by 1.76%. The results indicate that the quality of the forgings was significantly improved while the forging cost was reduced to some extent.

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“…The effect of holding time at high temperature has a great influence on the microstructural evolution of the forged alloys [14]. After hot deformation process or during inter pass times, the microstructure of deformed alloy is continuously restored [15,16]. Therefore, it is important to investigate the metadynicamic recrystallization plus the subsequent grain growth of the deformed alloy in order to obtain the most desirable microstructure and best mechanical properties of the final products [17,18].…”

Section: Introductionmentioning

confidence: 99%

Grain growth behaviour of an AISI 422 martensitic stainless steel after hot deformation process

Ahmadabadi

Naderi

Mohandesi

et al. 2018

Canadian Metallurgical Quarterly

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The metadynamic softening behavior and grain size refinement of an AISI 422 martensitic stainless steel in the temperature range of 950-1150 ºC was investigated by double-hit compression tests. The deformed specimens were held at deformation temperature with delay times of 5 to300s after achieving a strain of 0.3. The results indicated that at deformation temperatures lower than 1050 ºC, the final average grain size decreases with increasing time, attaining a minimum value at 15s,. However, grain coarsening was observed at deformation temperatures of 1150 and 1100 ºC. Based on the experimental results, a model was established for estimation of the softening fraction at different deformation parameters. The finer grain size was achieved by prior fine pre-austenite grain and lower secondary deformation temperature. The initial grain size of ASTM 5.5 decreased down toASTM7 to ASTM 8.5 at the deformation temperatures of 1020 ºC and 940 ºC, respectively. More uniform grain distribution was obtained with decreasing initial grain size especially at lower deformation temperatures.

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Simulation of radial forging conditions by third hits hot compression tests

Cited by 11 publications

References 27 publications

Microstructure Evolution Characterization of Multi-Pass Hot Rolling Simulation of Nb-Ti Microalloyed Steel

Microstructure Evolution Characterization of Multi-Pass Hot Rolling Simulation of Nb-Ti Microalloyed Steel

Multi-objective optimization of concave radial forging process parameters based on response surface methodology and genetic algorithm

Grain growth behaviour of an AISI 422 martensitic stainless steel after hot deformation process

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