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contributor authorDing, Hongtao
contributor authorShin, Yung C.
date accessioned2017-05-09T01:10:04Z
date available2017-05-09T01:10:04Z
date issued2014
identifier issn1087-1357
identifier othermanu_136_04_041003.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/155492
description abstractRecently, orthogonal cutting has been exploited as a means for producing ultrafine grained (UFG) and nanocrystalline microstructures for various metal materials, such as aluminum alloys, copper, stainless steel, titanium and nickelbased super alloys, etc. However, no predictive, analytical or numerical work has ever been presented to quantitatively predict the change of grain sizes during planestrain orthogonal cutting. In this paper, a dislocation densitybased material plasticity model is adapted for modeling the grain size refinement mechanism during orthogonal cutting by means of a finite element based numerical framework. A coupled Eulerian–Lagrangian (CEL) finite element model embedded with the dislocation density subroutine is developed to model the severe plastic deformation and grain refinement during a steadystate cutting process. The orthogonal cutting tests of a commercially pure titanium (CP Ti) material are simulated in order to assess the validity of the numerical solution through comparison with experiments. The dislocation densitybased material plasticity model is calibrated to reproduce the observed material constitutive mechanical behavior of CP Ti under various strains, strain rates, and temperatures in the cutting process. It is shown that the developed model captures the essential features of the material mechanical behavior and predicts a grain size of 100–160 nm in the chips of CP Ti at a cutting speed of 10 mm/s.
publisherThe American Society of Mechanical Engineers (ASME)
titleDislocation Density Based Grain Refinement Modeling of Orthogonal Cutting of Titanium
typeJournal Paper
journal volume136
journal issue4
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.4027207
journal fristpage41003
journal lastpage41003
identifier eissn1528-8935
treeJournal of Manufacturing Science and Engineering:;2014:;volume( 136 ):;issue: 004
contenttypeFulltext


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