contributor author | Wang, Qingqing | |
contributor author | Liu, Zhanqiang | |
date accessioned | 2019-02-28T11:03:02Z | |
date available | 2019-02-28T11:03:02Z | |
date copyright | 6/8/2018 12:00:00 AM | |
date issued | 2018 | |
identifier issn | 1087-1357 | |
identifier other | manu_140_09_091003.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4252109 | |
description abstract | Exploring the hardening mechanisms during high speed machining (HSM) is an effective approach to improve the fatigue strength and the wear resistance of machined surface and to control the fragmentation of chips in a certain range of hardness. In this paper, the microhardness variation is explored from the perspective of microstructural evolutions, as a direct consequence of the severe deformation during HSM Ti-6Al-4V alloy. A microstructure-sensitive flow stress model coupled the phenomena of grain refinement, deformation twinning, and phase transformations is first proposed. Then the microstructure-sensitive flow stress model is implemented into the cutting simulation model via a user-defined subroutine to analyze the flow stress variation induced by the microstructure evolutions during HSM Ti-6Al-4V. Finally, the relationship between the microhardness and flow stress is developed and modified based on the classical theory that the hardness is directly proportional to the flow stress. The study shows that the deformation twinning (generated at higher cutting speeds) plays a more important role in the hardening of Ti-6Al-4V compared with the grain refinement and phase transformation. The predicted microhardness distributions align well with the measured values. It provides a novel thinking that it is plausible to obtain a high microhardness material via controlling the microstructure alterations during machining process. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Microhardness Prediction Based on a Microstructure-Sensitive Flow Stress Model During High Speed Machining Ti-6Al-4V | |
type | Journal Paper | |
journal volume | 140 | |
journal issue | 9 | |
journal title | Journal of Manufacturing Science and Engineering | |
identifier doi | 10.1115/1.4039889 | |
journal fristpage | 91003 | |
journal lastpage | 091003-15 | |
tree | Journal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 009 | |
contenttype | Fulltext | |