Dislocation Density and Grain Size Evolution in the Machining of Al6061 T6 AlloysSource: Journal of Manufacturing Science and Engineering:;2014:;volume( 136 ):;issue: 004::page 41020DOI: 10.1115/1.4027675Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This study focuses on addressing the severe plastic deformation (SPD) behavior and the effects of machining parameters on microstructure alternations in machined surface created from highspeed machining. A finite element (FE) model is proposed to predict the orthogonal machining of Al6061T6 alloys at high speeds. By extracting strains, strain rates, stresses, and temperatures from this model, a dislocation densitybased model is incorporated into it as a userdefined subroutine to predict dislocation densities and grain sizes in machined surface. The predicted results show that dislocation densities decrease with the depths below the machined surface, but grain sizes present an opposite tendency. Higher cutting speeds are associated with thinner plastic deformation layers. Dislocation densities decrease with cutting speeds, but grain sizes increase with cutting speeds in machined surface. Dislocation densities decrease initially and then increase with feed rates. There exists a critical feed rate to generate the maximum SPD layer in machined surface. Tool rake angle has a great impact on the depth of plastic deformation layer. Thus, it affects the distributions of dislocation densities and grain sizes. A large negative rake angle can induce an increased dislocation density in machined surface. The predicted chip thicknesses, cutting forces, distributions of dislocation densities, and grain sizes within the range of machining parameters have good agreement with experiments in terms of chip morphology, cutting forces, microstructure, and microhardness in chip and machined surface.
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contributor author | Ding, Liqiang | |
contributor author | Zhang, Xueping | |
contributor author | Richard Liu, C. | |
date accessioned | 2017-05-09T01:10:07Z | |
date available | 2017-05-09T01:10:07Z | |
date issued | 2014 | |
identifier issn | 1087-1357 | |
identifier other | manu_136_04_041020.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/155511 | |
description abstract | This study focuses on addressing the severe plastic deformation (SPD) behavior and the effects of machining parameters on microstructure alternations in machined surface created from highspeed machining. A finite element (FE) model is proposed to predict the orthogonal machining of Al6061T6 alloys at high speeds. By extracting strains, strain rates, stresses, and temperatures from this model, a dislocation densitybased model is incorporated into it as a userdefined subroutine to predict dislocation densities and grain sizes in machined surface. The predicted results show that dislocation densities decrease with the depths below the machined surface, but grain sizes present an opposite tendency. Higher cutting speeds are associated with thinner plastic deformation layers. Dislocation densities decrease with cutting speeds, but grain sizes increase with cutting speeds in machined surface. Dislocation densities decrease initially and then increase with feed rates. There exists a critical feed rate to generate the maximum SPD layer in machined surface. Tool rake angle has a great impact on the depth of plastic deformation layer. Thus, it affects the distributions of dislocation densities and grain sizes. A large negative rake angle can induce an increased dislocation density in machined surface. The predicted chip thicknesses, cutting forces, distributions of dislocation densities, and grain sizes within the range of machining parameters have good agreement with experiments in terms of chip morphology, cutting forces, microstructure, and microhardness in chip and machined surface. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Dislocation Density and Grain Size Evolution in the Machining of Al6061 T6 Alloys | |
type | Journal Paper | |
journal volume | 136 | |
journal issue | 4 | |
journal title | Journal of Manufacturing Science and Engineering | |
identifier doi | 10.1115/1.4027675 | |
journal fristpage | 41020 | |
journal lastpage | 41020 | |
identifier eissn | 1528-8935 | |
tree | Journal of Manufacturing Science and Engineering:;2014:;volume( 136 ):;issue: 004 | |
contenttype | Fulltext |