Modelling flow stress of AISI 316L at high strain rates

Wedberg, Dan; Lindgren, Lars‐Erik

doi:10.1016/j.mechmat.2015.07.005

Cited by 21 publications

(8 citation statements)

References 55 publications

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“…The dislocation density model considers dislocation glide and climb processes contributions to the plastic straining. The yield limit in this approach is separated into two components according to [4,5,[30][31][32]…”

Section: Physical-based Modelsmentioning

confidence: 99%

“…Motion of jogged screw dislocations creates vacancies by nonconservative motion of jogs [4], while annihilation of vacancies may take place at grain boundaries and at dislocations. The mono-vacancy evolution equation presented in [4,5] is used in this study:…”

Section: Vacancy Generation and Migrationmentioning

confidence: 99%

“…The purpose of this paper is to apply the particle finiteelement method (PFEM) [1][2][3] to solve the problems associated with the large changes in configuration and use a physically based plasticity model [4,5] to extrapolate the material behavior outside the calibration range.…”

Section: Introductionmentioning

confidence: 99%

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Simulation of metal cutting using the particle finite-element method and a physically based plasticity model

2016

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Metal cutting is one of the most common metalshaping processes. In this process, specified geometrical and surface properties are obtained through the break-up of material and removal by a cutting edge into a chip. The chip formation is associated with large strains, high strain rates and locally high temperatures due to adiabatic heating. These phenomena together with numerical complications make modeling of metal cutting difficult. Material models, which are crucial in metal-cutting simulations, are usually calibrated based on data from material testing. Nevertheless, the magnitudes of strains and strain rates involved in metal cutting are several orders of magnitude higher than those generated from conventional material testing. Therefore, a highly desirable feature is a material model that can be extrapolated outside the calibration range. In this study, a physically based plasticity model based on dislocation density and vacancy concentration is used to simulate orthogonal metal cutting of AISI 316L. The material model is implemented into an in-house particle finite-element method software. Numerical simulations are in agreement with experimental results, but also with previous results obtained with the finite-element method.

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Section: Physical-based Modelsmentioning

confidence: 99%

Section: Vacancy Generation and Migrationmentioning

confidence: 99%

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Simulation of metal cutting using the particle finite-element method and a physically based plasticity model

2016

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“…4. The parameters at strain rates 1/s and 10/s used to fit yield stress-strain rate curve are obtained from a research on the flow stress of AISI 316L at high strain rates [24].…”

Section: (B) (C) (D)mentioning

confidence: 99%

Compressive mechanical properties of metal fiber sintered sheets at different strain rates

Liu

Song

2020

Composite Structures

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The quasi-static and dynamic mechanical behaviors of metal fiber sintered sheets (MFSSs) with six relative densities and three fiber diameters at the strain rates ranging from 0.001/s to 2000/s are investigated by using Universal Materials Testing System and split Hopkinson pressure bar (SHPB) system. The effects of relative density, strain rate on the yield strength and the energy absorption efficiency of MFSSs are evaluated.Finite element models (FEM) based on computed tomography (CT) images and idealized fiber networks are developed to simulate the compressive behavior at different strain rates. The measured responses of MFSSs are generally in agreement with that predicted by the 3D reconstructed model and the idealized model. Two deformation modes of MFSSs are explored based on stress wave theory and a critical speed is calculated to differentiate the two modes. Finally, an idealized lapping network is proposed to explore the compatibility condition of the geometrical characteristics and the effect of the strain rate and relative density on the mechanical behavior MFSSs.

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“…[34][35][36] Estrin et al, 37 Hug et al, 38 and Ning et al 39 presented several dislocation density-based models to discuss strain gradient effect during the hot deformation of metals at micrometer scale. Wedberg and Lindgren 40 proposed a rate-dependent dislocation cell formation equation to analyze the high-rate deformation behavior of 316L stainless steel based on dislocation density theory. Csanádi et al 41 characterized the plastic deformation of pure Al using phenomenological and dislocation densitybased models.…”

Section: Background Of Dislocation Density-based Modelmentioning

confidence: 99%

Improved dislocation density-based models for describing hot deformation behaviors of a Ni-based superalloy

et al. 2016

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Generally, the obvious work hardening, dynamic recrystallization (DRX), and dynamic recovery behaviors can be found during hot deformation of Ni-based superalloys. In the present study, the classical dislocation density theory is improved by introducing a new dislocation annihilation item to represent the influences of DRX on dislocation density evolution for a Ni-based superalloy. Based on the improved dislocation density theory, the peak strain corresponding to peak stress and the critical strain for initiating DRX can be determined, and the improved DRX kinetics equations and grain size evolution models are developed. The physical framework and algorithmic idea of the improved dislocation density theory are clarified. Moreover, the deformed microstructures are characterized and quantitatively correlated to validate the improved dislocation density theory. It is found that the improved dislocation density-based models can precisely characterize hot deformation and DRX behaviors for the studied superalloy under the tested conditions.

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Modelling flow stress of AISI 316L at high strain rates

Cited by 21 publications

References 55 publications

Simulation of metal cutting using the particle finite-element method and a physically based plasticity model

Simulation of metal cutting using the particle finite-element method and a physically based plasticity model

Compressive mechanical properties of metal fiber sintered sheets at different strain rates

Improved dislocation density-based models for describing hot deformation behaviors of a Ni-based superalloy

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