Simulation of Thermo-mechanical Deformation Behavior and Lifetime of a Nickel-base Alloy

Wagner, Martin; Decker, Matthias

doi:10.1016/j.proeng.2015.12.671

Cited by 4 publications

(7 citation statements)

References 9 publications

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“…13 recommended best laboratory practice, test data analysis and the exploitation of existing cyclic stress–strain data. Wagner and Decker 27 reported on the simulation of thermomechanical deformation behaviour of a Nickel-base alloy. Zaletelj et al.…”

Section: Introductionmentioning

confidence: 99%

“…The majority of researchers report on the use of the Levenberg–Marquardt algorithm to determine the parameters. 21,27,36–38 Maciejewski et al. 25 used a differential evolution method to fit the AF parameters of AISI 304 steel and Franulovic et al.…”

Section: Introductionmentioning

confidence: 99%

“…For many materials, RO material parameters have already been reported 11,[17][18][19] or they can be determined from raw experimental data. 13,[20][21][22][23][24][25][26][27] However, in finite element solvers, e.g. Abaqus, equation 1is not available to describe the cyclic behaviour of the material during loading.…”

Section: Introductionmentioning

confidence: 99%

“…The problem of determining the AF material parameters has already been addressed by various researchers. 13,17,[19][20][21]27,36 Hales et al 13 recommended best laboratory practice, test data analysis and the exploitation of existing cyclic stress-strain data. Wagner and Decker 27 reported on the simulation of thermomechanical deformation behaviour of a Nickel-base alloy.…”

Section: Introductionmentioning

confidence: 99%

“…13,17,[19][20][21]27,36 Hales et al 13 recommended best laboratory practice, test data analysis and the exploitation of existing cyclic stress-strain data. Wagner and Decker 27 reported on the simulation of thermomechanical deformation behaviour of a Nickel-base alloy. Zaletelj et al 19 deduced an equality between the RO and AF model in combination with a linear least squares fit to calculate the initial values of the AF model.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Comparative analysis of optimisation methods for linking material parameters of exponential and power models: An application to cyclic stress–strain curves of ferritic stainless steel

Šeruga

Nagode

2018

Proceedings of the Institution of Mechanical Engineers, Part L:

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The four most commonly used optimisation methods for linking the material parameters of an exponential Armstrong–Frederick and a power Ramberg–Osgood model are compared for given cyclic stress–strain curves of a ferritic stainless steel EN 1.4512. These methods are the damped Gauss–Newton method, the Levenberg–Marquardt method, the Downhill Simplex method and a genetic algorithm. Globally optimal material parameters are obtained by parallel searches within the methods. The methods are tested for cyclic curves at 20 ℃, 300 ℃, 650 ℃ and 850 ℃. The optimal values of material parameters and R2 values are comparable, whereas the search paths, the numbers of steps to reach optimal solutions and the processing time of the methods differ.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Comparative analysis of optimisation methods for linking material parameters of exponential and power models: An application to cyclic stress–strain curves of ferritic stainless steel

Šeruga

Nagode

2018

Proceedings of the Institution of Mechanical Engineers, Part L:

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Chaboche viscoplastic material model for process simulation of additively manufactured Ti-6Al-4 V parts

et al. 2023

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For the estimation and further optimization of the residual stress and distortion state in additively manufactured structures during and after the wire arc additive manufacturing (WAAM) process, thermomechanical simulation can be applied as a numerical tool. In addition to the detailed modelling of key process parameters, the used material model and material data have a major influence on the accuracy of the numerical analysis. The material behaviour, in particular the viscoplastic behaviour of the titanium alloy Ti-6Al-4 V which is commonly used in aerospace, is investigated within this work. An extensive material characterization of the viscoplastic material behaviour of the WAAM round specimen is carried out conducting low cycle fatigue (LCF) and complex low cycle fatigue (CLCF) tests in a wide temperature range. An elasto-viscoplastic Chaboche material model is parameterised, fitted, and validated to the experimental data in the investigated temperature range. Subsequently, the material model is implemented in the thermomechanical simulation of a representative, linear ten-layer WAAM structure. To finally determine the effect of the fitted material model on the estimation accuracy of residual stress and distortion, simulation results using the standard material model and the elaborated Chaboche model from this study are compared to experimental data in the substrate. The thermomechanical simulation with the Chaboche model reveals a better agreement with the experimental distortion and residual stress state, whereby the standard material model tends to an overestimation. The estimation accuracy with respect to the maximum distortion is improved from an error of 60% with the standard model to an acceptable error of about 6% using the elaborated model. Additionally, the estimated residual stress state shows a sound agreement to the experimental residual stress in the substrate.

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Experimental and Numerical Investigation of High-Temperature Multi-Axial Fatigue

Babu

Böcker

Raddatz

et al. 2022

Journal of Engineering for Gas Turbines and Power

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Gas turbines and aircraft engines are dominated by cyclic operating modes with fatigue-related loads. This may result in the acceleration of damage development on the components. Critical components of turbine blades and discs are exposed to cyclic thermal and mechanical multi-axial fatigue. In the current work, planar-biaxial Low-Cycle-Fatigue tests are conducted using cruciform specimens at different test temperatures. The influence on the deformation and lifetime behaviour of the nickel-base disk alloy IN718 is investigated at selected cyclic proportional loading cases. The calculation of the stress and strain distribution of the cruciform specimens from the experimental data is difficult to obtain due to complex geometry and temperature gradients. Therefore, there is a need for Finite Element Simulations. A viscoplastic material model is considered to simulate the material behaviour subjected to uniaxial and the selected planar-biaxial loading conditions. At first, uniaxial simulation results are compared with the uniaxial experiment results for both batches of IN718. Then, the same material parameters are used for simulating the biaxial loading cases. The prediction of FE simulation results is in good agreement with the experimental LCF test for proportional loadings. The equivalent stress amplitude results of the biaxial simulation are compared with the uniaxial results. Furthermore, the lifetime is calculated from the simulation and by using Crossland and Sines multi-axial stress-based approaches. The Crossland model predicts fatigue life significantly better than the Sines model. Finally, the simulated lifetime results are compared with the experimental lifetime

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Simulation of Thermo-mechanical Deformation Behavior and Lifetime of a Nickel-base Alloy

Cited by 4 publications

References 9 publications

Comparative analysis of optimisation methods for linking material parameters of exponential and power models: An application to cyclic stress–strain curves of ferritic stainless steel

Comparative analysis of optimisation methods for linking material parameters of exponential and power models: An application to cyclic stress–strain curves of ferritic stainless steel

Chaboche viscoplastic material model for process simulation of additively manufactured Ti-6Al-4 V parts

Experimental and Numerical Investigation of High-Temperature Multi-Axial Fatigue

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