Numerical Description of Hot Flow Behaviors at Ti-6Al-2Zr-1Mo-1V Alloy By GA-SVR and Relative Applications

Quan, Guo-zheng; Zhong, Zhihua; Zhou, Yuting; Wang, Tong; Xia, Yu-feng

doi:10.1590/1980-5373-mr-2016-0280

Cited by 13 publications

(3 citation statements)

References 40 publications

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“…Additionally, the first attempt at 3D mapping is a rhombus data matrix conducted at a steady strain rate for deformation temperature, strain and stress (Quan et al, 2013). This data mapping is faulted (Quan et al 2016), as stress is analyzed as an input effect of deformation rather than a resultant expressive effect. Further, the first apt 3D data mapping was applied to ensuing stress data with varied temperatures, strain rate and strain (Quan et al 2016).…”

Section: D Mapping Of Dynamic Impact Response Of Npb Waspaloymentioning

confidence: 99%

“…This data mapping is faulted (Quan et al 2016), as stress is analyzed as an input effect of deformation rather than a resultant expressive effect. Further, the first apt 3D data mapping was applied to ensuing stress data with varied temperatures, strain rate and strain (Quan et al 2016). This study, however, implements the most suitable 3D Dissimilar to stress ~ strain relation in 2D, the maps of experiential response data in 3D are demonstrated by diverse colour shades.…”

Section: D Mapping Of Dynamic Impact Response Of Npb Waspaloymentioning

confidence: 99%

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Dynamic Impact Response of Nanosized Precipitates Bearing Waspaloy

Onovo

2023

Jou. Eng. Res.

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Dynamic response of nanosized precipitates bearing (NPB) Waspaloy, a class of superalloy, is crucial to design structural components for critical rotating applications and other severe dynamic impact predisposed applications. The focus of this study is, therefore, to investigate the compressive dynamic behaviour of NPB Waspaloy at a high strain rate under various deformation conditions. The technique of modified split Hopkinson pressure (MSHP) bar was implemented through impact deformation of Waspaloy under wide-ranging deformation temperatures (-180 - 750 oC) and strain rates of (4*103 - 7.5*103 s-1). The outcomes of the experiments divulge how to flow stress relates directly to strain rate and is inversely proportional to deformation temperatures. Work hardening rate affects NPB Waspaloy maximally at the iciest deformation temperature (-180 oC) and the highest strain rate (7.5*103 s-1) considered. Under high straining and high rate of straining deformation conditions, the rate with which work-hardening occurs is destabilized due to the thermal softening effect during deformation. It is established that when strain is constant, the flow stress dependency on the rate of straining depicts linear relation. The thermal softening effect on NPB Waspaloy is concerted at around extreme strain rate (7.5*103 s-1) and iciest deformation temperatures within -180 ~ 25 oC. Mapping of strain, strain rate and deformation temperatures representing input parameters with the resultant flow stress provide an unambiguous analytical view of the effects of dynamic impact deformation. Flow stresses at elevated temperatures are correlated directly with grain growth, mainly influenced by adopted deformation temperatures.

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Section: D Mapping Of Dynamic Impact Response Of Npb Waspaloymentioning

confidence: 99%

Section: D Mapping Of Dynamic Impact Response Of Npb Waspaloymentioning

confidence: 99%

Dynamic Impact Response of Nanosized Precipitates Bearing Waspaloy

Onovo

2023

Jou. Eng. Res.

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“…Therefore, numerous machine learning models were established to simplify the conducting process and had overall superior forecasted results. For instance, the e-insensitive support vector regression (e-SVR) obtained decent results for forecasting flow characteristics [43,44]. Furthermore, complex artificial neural network (ANN) models were leveraged to predict the flow stress of titanium alloys, such as Ti600, Ti60, Ti40, and Ti-2Al-9.2Mo-2Fe β alloys [45][46][47].…”

Section: Introductionmentioning

confidence: 99%

Dislocation Substructures Evolution and an Informer Constitutive Model for a Ti-55511 Alloy in Two-Stages High-Temperature Forming with Variant Strain Rates in β Region

Tan

Lin

et al. 2023

Materials

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The high-temperature compression characteristics of a Ti-55511 alloy are explored through adopting two-stage high-temperature compressed experiments with step-like strain rates. The evolving features of dislocation substructures over hot, compressed parameters are revealed by transmission electron microscopy (TEM). The experiment results suggest that the dislocations annihilation through the rearrangement/interaction of dislocations is aggravated with the increase in forming temperature. Notwithstanding, the generation/interlacing of dislocations exhibit an enhanced trend with the increase in strain in the first stage of forming, or in strain rates at first/second stages of a high-temperature compressed process. According to the testing data, an Informer deep learning model is proposed for reconstructing the stress–strain behavior of the researched Ti-55511 alloy. The input series of the established Informer deep learning model are compression parameters (compressed temperature, strain, as well as strain rate), and the output series are true stresses. The optimal input batch size and sequence length are 64 and 2, respectively. Eventually, the predicted results of the proposed Informer deep learning model are more accordant with the tested true stresses compared to those of the previously established physical mechanism model, demonstrating that the Informer deep learning model enjoys an outstanding forecasted capability for precisely reconstructing the high-temperature compressed features of the Ti-55511 alloy.

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Hot Tensile Deformation Mechanism and Dynamic Softening Behavior of Ti–6Al–4V Alloy with Thick Lamellar Microstructures

Lin

Pang

et al. 2019

Adv Eng Mater

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The deformation mechanisms and dynamic softening behavior of a Ti–6Al–4V alloy with thick lamellar microstructures are studied by uniaxial hot tensile tests. The true stress first rapidly reaches a peak value because of the rapid dislocations proliferation and tangle, and then gradually decreases due to the dynamic softening with raising the deformation amount. The dynamic softening behavior is mainly induced by the severe dynamic globularization of lamellar α phases. The globularization of α phase is always accompanied by the formation of high‐angle grain boundaries (HAGBs). The fraction of globularized α phases increases with the increasing deformation temperature. The fracture mechanism is microvoid coalescence, i.e., in the initial stage of tensile deformation, the microvoids begin to emerge. With the increasing deformation amount, the number of microvoids increases, and the microvoids accumulate and accelerate to propagate until the final fracture. According to the experimental flow stress curves, a modified Arrhenius‐type equation and a Hensel–Spittel (HS) model are developed to forecast the flow stresses. The average absolute relative error of the established strain‐compensated Arrhenius‐type (SCAT) and HS models are 6.108% and 3.385%, respectively. Both models can be well used to describe the hot tensile flow characteristics of the Ti–6Al–4V alloy with thick lamellar microstructures.

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Numerical Description of Hot Flow Behaviors at Ti-6Al-2Zr-1Mo-1V Alloy By GA-SVR and Relative Applications

Cited by 13 publications

References 40 publications

Dynamic Impact Response of Nanosized Precipitates Bearing Waspaloy

Dynamic Impact Response of Nanosized Precipitates Bearing Waspaloy

Dislocation Substructures Evolution and an Informer Constitutive Model for a Ti-55511 Alloy in Two-Stages High-Temperature Forming with Variant Strain Rates in β Region

Hot Tensile Deformation Mechanism and Dynamic Softening Behavior of Ti–6Al–4V Alloy with Thick Lamellar Microstructures

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