Hot Deformation Behavior of Ti–6Al–4V Alloy in β Phase Field and Low Strain Rate

Honarmandi, Pejman; Aghaie-Khafri, M.

doi:10.1007/s13632-012-0052-6

Cited by 21 publications

(6 citation statements)

References 28 publications

(36 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In some processing map studies, a barreling correction is applied to the results to account for the sample shape change during deformation and the development of triaxiality. 42,44,45 However, these corrections are insufficient since as the FE simulations show the link between the macroscopic nominal stress-strain curve and the actual stressstrain behavior of the material is not so simple. In each test, the macroscopic sample response is an average of the material behavior over all the different conditions in the sample.…”

Section: Strain-rate Sensitivity Processing Mapsmentioning

confidence: 99%

Quantifying Processing Map Uncertainties by Modeling the Hot-Compression Behavior of a Zr-2.5Nb Alloy

Daniel

Jedrasiak

Peyton

et al. 2021

Zirconium in the Nuclear Industry: 19th International Symposium

View full text Add to dashboard Cite

Compression dilatometer tests were used to study the hot deformation response of a zirconium (Zr)-2.5% niobium (Nb) alloy over the temperature range 650 C to 850 C and strain rates of 10 À2.5 s À1 to 10 þ1 s À1 . A high number of test conditions was used (72, with every test duplicated) in order to assess how differences in data processing influence the resulting relationships among flow stress, temperature, and strain rate. Particular attention was paid to processing maps, showing strain-rate sensitivity over the processing domain, commonly cited in the field and widely used as a basis to determine optimum processing conditions. Significant variations in these maps were found to depend on the number of data points included and the fitting procedure used to smooth the data. A finite element model of the test demonstrates the order of the corrections that Manuscript

show abstract

Section: Strain-rate Sensitivity Processing Mapsmentioning

confidence: 99%

Quantifying Processing Map Uncertainties by Modeling the Hot-Compression Behavior of a Zr-2.5Nb Alloy

Daniel

Jedrasiak

Peyton

et al. 2021

Zirconium in the Nuclear Industry: 19th International Symposium

View full text Add to dashboard Cite

show abstract

“…However, there has been very little work published in relation to the computational modelling for the material microstructural evolution during IN718 LFW. Computational modelling studies about DRX processes have been published for steel, aluminium alloys, and titanium alloys during hot forging or hot isothermal compression testing processes [30,[46][47][48][49][50][51][52]. While these studies have used renowned models such as the Johnson-Mehl-Avrami-Kolmogorov (JMAK) model and the cellular automaton model, they have not been implemented for modelling of DRX of γ grains during LFW of IN718 (or any nickel-based superalloy) [30,46,51,53,54].…”

Section: Introductionmentioning

confidence: 99%

Computational modelling of dynamic recrystallisation of Ni-based superalloy during linear friction welding

Okeke

Harrison

Tong

2022

Int J Adv Manuf Technol

View full text Add to dashboard Cite

Linear friction welding (LFW) is an advanced joining technology used for manufacturing and repairing complex assemblies like blade integrated disks (blisks) of aeroengines. This paper presents an integrated multiphysics computational modelling for predicting the thermomechanical-microstructural processes of IN718 alloy (at the component-scale) during LFW. Johnson–Mehl–Avrami-Kolmogorov (JMAK) model was implemented for predicting the dynamic recrystallisation of γ grain, which was coupled with thermomechanical modelling of the LFW process. The computational modelling results of this paper agree well with experimental results from the literature in terms of γ grain size and weld temperature. Twenty different LFW process parameter configurations were systematically analysed in the computations by using the integrated model. It was found that friction pressure was the most influential process parameter, which significantly affected the dynamic recrystallisation of γ grains and weld temperature during LFW. The integrated multiphysics computational modelling was employed to find the appropriate process window of IN718 LFW.

show abstract

“…In some cases, dynamic recovery was inferred from the steady state of the flow stress combined with low values of the strain rate sensitivity [8][9][10]. Discontinuous dynamic recrystallization (dDRX) was reported mostly after metallographic observations in samples of Ti-6Al-4V after deformation followed by uncontrolled cooling rate (e.g., [11][12][13]). A study in a near β titanium alloy combined water quenching immediately after hot compression with electron backscattered diffraction (EBSD) characterization to reveal that dominant mechanisms of the β-phase deformation were dynamic recovery (DRV) followed by continuous dynamic recrystallization (cDRX) [14].…”

Section: Introductionmentioning

confidence: 99%

In-Situ Synchrotron X-Ray Diffraction of Ti-6Al-4V During Thermomechanical Treatment in the Beta Field

Warchomicka

Canelo-Yubero

Zehetner

et al. 2019

Metals

View full text Add to dashboard Cite

This work aims to identify the mechanisms of restoration occurring in Ti-6Al-4V during hot plastic deformation and subsequent heat treatment. The allotropic phase transformation that occurs during cooling distorts the interpretation of the restoration mechanisms taking place at high temperatures. Therefore, analysis of deformed samples by conventional microscopy have led to controversies in the interpretation of the main dynamic restoration mechanism. Additionally, static restoration of the microstructure can occur during slow cooling, modifying the microstructure. These facts were mainly the reasons why discontinuous dynamic recrystallization and/or dynamic recovery has been reported as the main dynamic restoration mechanism for Ti-6Al-4V. In this work, we use in-situ synchrotron X-ray diffraction combined with conventional microscopy to determine the dynamic and static mechanisms of restoration during and after deformation at different strain rates. The results show dynamic recovery as main mechanism of restoration during deformation in the β field, denoted by sub-grain formation and a misorientation dependency of the strain rate. After deformation, static recrystallization, grain growth, and coarsening of the β grains can be observed, especially at strain rates higher than 0.1s−1. It is also demonstrated that the nucleation of new grains can occur within the very first seconds of the isothermal heat treatment.

show abstract

Hot Deformation Behavior of Ti–6Al–4V Alloy in β Phase Field and Low Strain Rate

Cited by 21 publications

References 28 publications

Quantifying Processing Map Uncertainties by Modeling the Hot-Compression Behavior of a Zr-2.5Nb Alloy

Quantifying Processing Map Uncertainties by Modeling the Hot-Compression Behavior of a Zr-2.5Nb Alloy

Computational modelling of dynamic recrystallisation of Ni-based superalloy during linear friction welding

In-Situ Synchrotron X-Ray Diffraction of Ti-6Al-4V During Thermomechanical Treatment in the Beta Field

Contact Info

Product

Resources

About