Hot deformation behaviour, constitutive model description, and processing map analysis of superalloys: An overview of nascent developments

Kareem, Sodiq Abiodun; Anaele, Justus Uchenna; Aikulola, Emmanuel Omosegunfunmi; Olanrewaju, Olajesu Favor; Omiyale, Babatunde Olamide; Bodunrin, Michael Oluwatosin; Alaneme, Kenneth Kanayo

doi:10.1016/j.jmrt.2023.09.180

Cited by 29 publications

(3 citation statements)

References 130 publications

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“…As strain increases, the material enters the plastic stage. Dislocation density gradually rises, which triggers DRX and consequently reduces the multiplication rate of dislocations [ 30 , 31 ]. The rate of the tensile stress increases slowly with intensifying strain.…”

Section: Resultsmentioning

confidence: 99%

Analysis of Hot Tensile Fracture and Flow Behaviors of Inconel 625 Superalloy

Pan,

Chen,

Ning

2024

Materials

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In this work, Inconel 625 alloy is explored regarding high-temperature tensile deformation and fracture behaviors at a strain rate of 0.005–0.01 s−1 under a deformation temperature ranging from 700–800 °C. The subsequent analysis focuses on the impact of deformation parameters on flow and fracture characteristics. The fractured surface reveals that ductile fracture is dominated by the nucleation, growth, and coalescence of microvoids as the primary failure mechanisms. The elevated deformation temperature and reduced strain rate stimulate the level of dynamically recrystallized (DRX) structures, resulting in intergranular fractures. The Arrhenius model and the particle swarm optimization-artificial neural network (PSO-ANN) model are developed to predict the hot tensile behavior of the superalloy. It indicates that the PSO-ANN model exhibits a correlation coefficient (R) as high as 0.9967, surpassing the corresponding coefficient of 0.9344 for the Arrhenius model. Furthermore, the relative absolute error of 9.13% (Arrhenius) and 1.85% (PSO-ANN model) are recorded. The developed PSO-ANN model accurately characterizes the flow features of the Inconel 625 superalloy with high precision and reliability.

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Section: Resultsmentioning

confidence: 99%

Analysis of Hot Tensile Fracture and Flow Behaviors of Inconel 625 Superalloy

Pan,

Chen,

Ning

2024

Materials

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“…The lack of effective lubrication methods under high temperatures leads to increased friction between superalloy sheets and mould surfaces, which hinders the flow of superalloy sheets [19]. The surface oxidation and grain coarsening will appear in the superalloy sheet at high temperatures for a long time [20].…”

Section: Introductionmentioning

confidence: 99%

Hot deformation behavior and physical-based constitutive modelling under plane-stress state for Nickle-based superalloy sheets

Wu,

Chen,

Bao

et al. 2024

Preprint

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Forming limit curves at high temperatures under plane stress states is beneficial for guiding the process parameter design of hot forming superalloy sheets. Constrained by the high deformation temperatures, the establishment of FLCs of superalloy sheet at high temperatures are extremely diffiuclt. This paper conducts an experimental and modelling research establish the physical based model with the accurate prediction of hot flow behavior as well as micro grain sizes, using which, the forming limit curves can be predicted. First, the uniaxial tensile tests under different temperatures and strain rates and EBSD observations of typical conditions were conducted to obtain the hot flow behavior and grain evolution. Second, the dome test at room temperature was performed, and corresponding simulation was further carried out to obtain the forming limit at room temperature under plane stress states. Using the above results, a plane-stress constitutive model for GH3128 superalloy was established enabling plane-stress test results under typical hot conditions to be accurately predicted. The prediction accuracy of hot uniaxial and biaxial stretching results are 94.2% and 95.4%, respectively.

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“…The implementation of an appropriate hot forming process allows for precise control over the microstructural evolution. This significantly refines the grain structure, thereby enhancing the mechanical properties of these alloys [1][2][3][4][5][6]. On the other hand, metallurgical transformations during hot working profoundly influences the thermo-viscoplastic behavior, which in turn affects the forming processes [7,8].…”

Section: Introductionmentioning

confidence: 99%

Translating strain to stress: a single-layer Bi-LSTM approach to predicting stress-strain curves in alloys during hot deformation

Xu,

Xiong,

Zhang

2024

Mater. Res. Express

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This study introduces a novel deep learning network that integrates a single-layer bidirectional long short-term memory (Bi-LSTM) network with a coding layer to analyze the hot deformation behavior of various alloys. The single-layer Bi-LSTM model adeptly predicts experimental stress-strain curves obtained under different deformation temperatures and strain rates, demonstrating superior effectiveness and excellent performance in modeling hot deformation behaviors of the FGH98 nickel-based alloy and TiAl intermetallic alloy. The present model achieves the coefficient of determination of 0.9051 for FGH98 and 0.9307 for TiAl alloys, whereas the corresponding values of 0.8105 and 0.8356 are obtained by the conventional strain-compensated Sellars constitutive equation (SCS model). Additionally, the mean absolute percentage error of the single-layer Bi-LSTM model are 11.37% for FGH98 and 7.16% for TiAl alloys, while the SCS model gains the corresponding error of 15.29% and 17.01%. These results show that the present model has enhances the predictive accuracy exceeding 10% for both FGH98 and TiAl alloys over the SCS model. Consequently, the proposed single-layer Bi-LSTM model provides substantial potential for optimizing manufacturing processes and improving material properties.

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Hot deformation behaviour, constitutive model description, and processing map analysis of superalloys: An overview of nascent developments

Cited by 29 publications

References 130 publications

Analysis of Hot Tensile Fracture and Flow Behaviors of Inconel 625 Superalloy

Analysis of Hot Tensile Fracture and Flow Behaviors of Inconel 625 Superalloy

Hot deformation behavior and physical-based constitutive modelling under plane-stress state for Nickle-based superalloy sheets

Translating strain to stress: a single-layer Bi-LSTM approach to predicting stress-strain curves in alloys during hot deformation

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