Thermodynamics, Microstructures and Plasticity 2003

DOI: 10.1007/978-94-010-0219-6_13

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Evolution Of Dislocation Density1

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Cited by 3 publications

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“…Both processes are described below. The mobile dislocation density is assumed to be much smaller than the immobile one, Bergström (1983), Estrin (2003). Accordingly, the evolution equation for immobile dislocations is written…”

Section: Evolution Of Dislocation Densitymentioning

confidence: 99%

Modelling flow stress of AISI 316L at high strain rates

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²

2015

Mechanics of Materials

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“…Both processes are described below. The mobile dislocation density is assumed to be much smaller than the immobile one, Bergström (1983), Estrin (2003). Accordingly, the evolution equation for immobile dislocations is written…”

Section: Evolution Of Dislocation Densitymentioning

confidence: 99%

Modelling flow stress of AISI 316L at high strain rates

¹

,

²

2015

Mechanics of Materials

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Simulation of metal cutting using a physically based plasticity model

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2010

Modelling Simul. Mater. Sci. Eng.

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Metal cutting is one of the most common metal shaping processes. Specified geometrical and surface properties are obtained by break-up of the material removed by the cutting edge into a chip. The chip formation is associated with a large strain, high strain rate and a locally high temperature due to adiabatic heating which make the modelling of cutting processes difficult. This study compares a physically based plasticity model and the Johnson-Cook model. The latter is commonly used for high strain rate applications. Both material models are implemented into the finite element software MSC.Marc and compared with cutting experiments. The deformation behaviour of SANMAC 316L stainless steel during an orthogonal cutting process is studied.

Modelling high strain rate phenomena in metal cutting simulation

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2012

Modelling Simul. Mater. Sci. Eng.

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Chip formation in metal cutting is associated with large strains and high strain rates, concentrated locally to deformation zones in front of the tool and beneath the cutting edge. Furthermore, dissipative plastic work and friction work generate high local temperatures. These phenomena together with numerical complications make modelling of metal cutting difficult. Material models, which are crucial in metal cutting simulations, are usually calibrated based on data from material testing. Nevertheless, the magnitude of strains and strain rates involved in metal cutting are several orders higher than those generated from conventional material testing. A highly desirable feature is therefore a material model that can be extrapolated outside the calibration range. In this study, two variants of a flow stress model based on dislocation density and vacancy concentration are used to simulate orthogonal metal cutting of AISI 316L stainless steel. It is found that the addition of phonon drag improves the results somewhat but the addition of this phenomenon still does not make it possible to extrapolate the constitutive model reliably outside its calibration range.

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