Microstructure prediction of Nimonic 80A for large exhaust valve during hot closed die forging

Jeong, Ho-Seung; Cho, Jong-Rae; Park, H.C.

doi:10.1016/j.jmatprotec.2005.02.101

Cited by 65 publications

(26 citation statements)

References 10 publications

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“…Comparison of the predicted grain size with the actual microstructure of a two-step forged blade, successfully validated its effectiveness in the prediction of microstructures [22,23]. In order to investigate the microstructure evolution of nickel-based alloy Nimonic 80A during a large exhaust valve forging, Jeong et al [24] combined the mathematical models of microstructure evolution with a thermo-viscoplastic finite element software to predict microstructural evolution during the hot forging process. Du et al [25] investigated microstructural evolution during the twist-compression deformation process for large-scale forging parts by coupling the microstructural evolution models with the rigid-viscoplastic FEM.…”

Section: Developments In Phenomenological Modellingmentioning

confidence: 97%

“…Furthermore, many researchers have integrated the developed phenomenological models into FEM to predict the microstructural evolution during hot forging [20][21][22][23][24][25][26][27][28][29]. Jang et al [20] investigated the microstructural evolution during a hot-forging process of C-Mn steel with large deformation by combining a recrystallization model and the rigid-thermoviscoplastic finite-element method.…”

Section: Developments In Phenomenological Modellingmentioning

confidence: 99%

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Prediction of microstructural evolution during hot forging

2014

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-Microstructural evolution, which is governed by temperature, strain and strain rate during hot forging, is a key factor influencing mechanical properties. Understanding the microstructural evolution of metals and alloys in hot forging has a great importance for the designers of metal forming processes. The principal objective of this paper is to provide an overview of the models for the prediction of microstructural evolution for metals and alloys during the hot forging process. In this review paper, the models are divided into four categories, including the phenomenological, physically-based, mesoscale and artificial-neural-network models, to introduce their developments, prediction capabilities and application scopes. Additionally, some limitations and objective suggestions for the further development of the modelling of microstructural evolution during hot forging are proposed.

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Section: Developments In Phenomenological Modellingmentioning

confidence: 97%

Section: Developments In Phenomenological Modellingmentioning

confidence: 99%

Prediction of microstructural evolution during hot forging

2014

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“…Thus, the quality of the valve head is important. The valve microstructure is a main factor in future engine applications [6][7][8]. Austenitic 21-4N stainless steel is widely used for valves because of its good balance between strength and toughness and good wear resistance in an extreme working environment [9].…”

Section: Introductionmentioning

confidence: 99%

Predicting the Microstructure of a Valve Head during the Hot Forging of Steel 21-4N

Huang

et al. 2018

Metals

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Abstract:Valve microstructure is important during hot forging. Austenitic 21-4N steel is often used in exhaust valves. In this study, the microstructure evolution of the forging valve process was predicted using the internal state variables (i.e., average grain size, recrystallized fraction, and dislocation density) modus for 21-4N. First, 21-4N was subjected to hot compression tests on a Gleeble-1500D and static grain growth tests in a heating furnace. A set of uniform viscoplastic constitutive equations was established based on experimental data. Next, the determined unified constitutive equations were conducted in DEFORM-3D, and the microstructure evolution of 21-4N during forging was calculated. Finally, the simulation results of grain size evolution were validated via experiments. Results showed good consistency between the simulations and experiments. Thus, the models adequately predicted the microstructure evolution.

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“…The strain rate of deformation is a critical parameter affecting supersolvus heat treated grain size in disk superalloys [6,8,28]. The effects of strain rate on grain size in René 104 are shown for two example conditions in Figure 5.…”

Section: Strain Rate Effectsmentioning

confidence: 99%

Integration of Simulations and Experiments for Modeling Superalloy Grain Growth

Payton¹,

Wang²,

Ma³

et al. 2008

Superalloys 2008 (Eleventh International Symposium)

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Grain size is an important parameter controlling the mechanical behavior and useful life of turbine disks. During heat treatment above the gamma prime (γ ) solvus the grain size increases dramatically as the γ particles dissolve. The grain size then stagnates as the volume fraction of the γ phase approaches zero. In general, the grain size at stagnation cannot be described by classic Zener pinning theory because of its strong dependence on the strain rate and thermal exposure during thermomechanical processing.The grain size distribution, twin boundary fraction, γ size distribution and volume fraction, carbide size distribution and volume fraction, γ dissolution rates, and carbide coarsening rates have been measured in two powder metallurgical disk superalloys. Stored energy and boundary properties after deformation have been assessed. The experimental results have been used as input parameters for a physics-based model of grain growth in a field of two populations of particles, one coarsening and one dissolving. Phase field models have been used to support and clarify interpretations of experimental results and to validate the appropriate functional forms for precipitate coarsening and dissolution. Comparison of experimental and modeling results have suggested avenues for further experimental investigations and vice versa. This established feedback loop between experimentation and simulation has enabled focused experimentation, increasing the accuracy and general applicability of the model.

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Microstructure prediction of Nimonic 80A for large exhaust valve during hot closed die forging

Cited by 65 publications

References 10 publications

Prediction of microstructural evolution during hot forging

Prediction of microstructural evolution during hot forging

Predicting the Microstructure of a Valve Head during the Hot Forging of Steel 21-4N

Integration of Simulations and Experiments for Modeling Superalloy Grain Growth

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