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von Mises yield criterion

About: von Mises yield criterion is a research topic. Over the lifetime, 4374 publications have been published within this topic receiving 82642 citations. The topic is also known as: Von Mises stress.


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Journal ArticleDOI
TL;DR: In this paper, a three-dimensional elastic-plastic finite-element treatment is presented for the study of industrial metalforming problems, based upon the Prandtl-Reuss flow rule and von Mises' yield criterion, and incorporating a finite-deformation formulation for accurate and efficient solution of large-strain analyses using step sizes of 2% strain or more.

27 citations

Journal ArticleDOI
TL;DR: By analyzing the problem of high pressure torsion (HPT) in the rigid plastic formulation, it is shown that the power hardening law of plastically deformed materials leads to self-similarity of HPT, admitting a simple mathematical description of the process.
Abstract: By analyzing the problem of high pressure torsion (HPT) in the rigid plastic formulation, we show that the power hardening law of plastically deformed materials leads to self-similarity of HPT, admitting a simple mathematical description of the process. The analysis shows that the main parameters of HPT are proportional to β q , with β being the angle of the anvil rotation. The meaning of the parameter q is: q = 0 for velocity and strain rate, q = 1 for shear strain and von Mises strain, q = n for stress, pressure and torque (n is the exponent of a power hardening law). We conclude that if the hardening law is a power law in a rotation interval β, self-similar regimes can emerge in HPT if the friction with the lateral wall of the die is not too high. In these intervals a simple mathematical description can be applied based on self-similarity. Outside these ranges, the plasticity problem still has to be solved for each value of β. The results obtained have important practical implications for the proper design and analysis of HPT experiments.

27 citations

Journal ArticleDOI
TL;DR: In this article, a time-independent plasticity model using only one yield surface and capable of predicting cyclic loading is presented, where memory points are defined to monitor the loading history; these memory points have the property that they can be created and disappear during the load history.

27 citations

Journal ArticleDOI
TL;DR: In this paper, electron backscatter diffraction (EBSD) mappings were obtained before, during and after consecutive compressions of a GaAs micropillar inside of a high-resolution scanning electron microscope.
Abstract: Micropillar compression is increasingly used as a method to examine small length-scale mechanical properties since it minimises the strain gradients that are unavoidable during nanoindentation into a flat surface. It also simplifies the data analysis since it is assumed that the compression is uniaxial. But how valid is this assumption when misalignments in the microscale setup are generally unavoidable? In order to investigate this, the stress and strain tensors of the micropillar should be measured during the compression. To accomplish this, electron backscatter diffraction (EBSD) mappings were obtained before, during and after consecutive compressions of a GaAs micropillar inside of a high-resolution scanning electron microscope. Elastic strain and the corresponding stress tensors were determined from the EBSD measurements using a cross-correlation technique. The results show that the von Mises stress compares well to the engineering stress determined from the nanoindenter load–displacement data. Even ...

27 citations

Journal ArticleDOI
TL;DR: In this paper, a fracture model, expressed through the fracture strain, was used to investigate the damage accumulation nonlinearity and to reliably calibrate new phenomenological ductile fracture criterion, which is dependent on the stress triaxiality and normalized third invariant of deviatoric stress tensor.

27 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023319
2022722
2021216
2020226
2019173
2018162