A damage-coupled unified viscoplastic constitutive model for prediction of forming limits of 22MnB5 at high temperatures

Zhou, Jing; Mu, Yanhong; Wang, Baoyu

doi:10.1016/j.ijmecsci.2017.09.006

Cited by 36 publications

(12 citation statements)

References 33 publications

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“…Arghavani et al (2010); Shutov and Ihlemann (2012); Lin et al (2012)). Such approaches have been used to model the mechanical behaviour of many engineering materials (Frederick and Armstrong (2007); Chaboche (2008); Shutov and Kreißig (2008); Besson (2010); Drozdov et al (2010); Yan and Oskay (2015); Ahmed et al (2016); He and Yao (2017); Zhou et al (2017); Rodas and Neu (2018)). Some of them have been applied to anisothermal fatigue situations (Zhang et al (2002); Saad (2012); Barrett et al (2013)).…”

Section: Introductionmentioning

confidence: 99%

Experimental characterisation and computational modelling of cyclic viscoplastic behaviour of turbine steel

Rae

Benaarbia

Hughes³

et al. 2019

International Journal of Fatigue

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Fully reversed strain controlled low cycle fatigue and creep-fatigue interaction tests have been performed at ±0.7% strain amplitude and at three different temperatures (400°C, 500°C and 600°C) to investigate the cyclic behaviour of a FV566 martensitic turbine steel. From a material point of view, the hysteresis mechanical responses have demonstrated cyclic hardening at the running-in stage and subsequent, hysteresis cyclic softening during the rest of the material life. The relaxation and energy behaviours have shown a rapid decrease at the very beginning of loading followed by quasi-stabilisation throughout the test. A unified, temperature-and rate-dependent visco-plastic model was then developed and implemented into the Abaqus finite element (FE) code through a user defined subroutine (UMAT). The material parameters in the model were determined via an optimisation procedure based on a genetic solver. The multi-axial form of the constitutive model developed was demonstrated by analysing the thermomechanical responses of an industrial gas turbine rotor subjected to in-service conditions. A sub-modelling technique was used to optimise the FEA. A 2D global model of the rotor with a 3D sub-model of the second stage of the low pressure turbine were then analysed in turn. The complex transient stress and accumulated plastic strain fields were investigated under realistic thermo-mechanical fatigue loading (start-up and shutdown power plant loads). The sub-model was then used for local analysis leading to identification of potential crack initiation sites for the presented types of blade roots.

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Section: Introductionmentioning

confidence: 99%

Experimental characterisation and computational modelling of cyclic viscoplastic behaviour of turbine steel

Rae

Benaarbia

Hughes³

et al. 2019

International Journal of Fatigue

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“…The movement speed of the hydraulic press is controlled to adjust the punching speed. The adjustable range of the punching speed is about 10–40 mm/s, and the corresponding strain rate is 0.2–0.8 [ 21 ]. Each experiment is repeated 3 times to ensure the accuracy of the experiment.…”

Section: Materials and Experimentsmentioning

confidence: 99%

Research on High Temperature Stamping Forming Performance and Process Parameters Optimization of 7075 Aluminum Alloy

Huang

et al. 2021

Materials

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The stress strain curve of 7075 aluminum alloy in the temperature range of 310 °C to 410 °C was obtained by Gleeble-3800. By Nakazima test, the isothermal thermoforming limit diagrams of 7075 aluminum alloy at different deformation temperatures and stamping speeds were acquired. Moreover, the parameters of automotive S-rail hot stamping process were optimized by GA-BP neural network. The results show that the forming limit curve of 7075 aluminum alloy increases as the deformation temperature and stamping speed increase. The predicted optimal parameters for hot stamping of automotive S-rails by GA-BP neural network are: stamping speed is 50 mm/s, friction coefficient between die and blank is 0.1, and blank holder force is 5 kN. The maximum thinning rate at this process parameter is 9.37%, which provided a reference for 7075 aluminum alloy automotive S-rail hot stamping.

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“…A set of uniaxial constitutive equations has been established to analyze the flow behavior and microstructure evolution of AA7075 under uniaxial hot tensile tests [26]. In the metal sheet forming process, it is usually assumed that the sheet is in plane stress state as the stress in the thickness direction is extremely small [27]. Then, uniaxial constitutive model usually needs to be extended to multiaxial constitutive model considering the variation of stress state and strain path during metal sheet deformation [28].…”

Section: Constitutive Modelingmentioning

confidence: 99%

“…(4) needs to be calibrated. Optimization technique based on genetic algorithm toolbox was used to determine the material constants; details of the optimization process have been reported by Lin et al [19] and Zhou et al [27]. Figure 4 shows the isothermal formed parts at 400 °C.…”

Section: Constitutive Modelingmentioning

confidence: 99%

Behaviors and modeling of thermal forming limits of AA7075 aluminum sheet

Xiao

Wang

2020

Archiv.Civ.Mech.Eng

Self Cite

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The aluminum hot stamping process has been widely studied to produce lightweight parts in automobile industry. As forming limit of aluminum sheet at elevated temperatures plays a vital role in judging stamping formability, this study aims at experimentally investigating the forming limits and establishing a constitutive model to predict them. In this study, isothermal deformation test (Nakajima test) of AA7075 was conducted to determine its forming limits at temperatures of 300-450 °C and stamping speeds of 13-40 mm/s. Based on the experimental results, a constitutive model considering continuum damage mechanics was established to predict the forming limits under different deformation conditions. It was found that the formability of the material is best at 400 °C, and a higher strain rate can improve formability slightly. The comparisons between model predictions and experimental results were evaluated; results indicated a good prediction accuracy of the model in describing forming limits of AA7075 at elevated temperatures. Moreover, comparison between different studies on the thermal forming limits of AA7075 was discussed in detail.

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A damage-coupled unified viscoplastic constitutive model for prediction of forming limits of 22MnB5 at high temperatures

Cited by 36 publications

References 33 publications

Experimental characterisation and computational modelling of cyclic viscoplastic behaviour of turbine steel

Experimental characterisation and computational modelling of cyclic viscoplastic behaviour of turbine steel

Research on High Temperature Stamping Forming Performance and Process Parameters Optimization of 7075 Aluminum Alloy

Behaviors and modeling of thermal forming limits of AA7075 aluminum sheet

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