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contributor authorJing Shi
contributor authorC. Richard Liu
date accessioned2017-05-09T00:16:53Z
date available2017-05-09T00:16:53Z
date copyrightAugust, 2005
date issued2005
identifier issn1087-1357
identifier otherJMSEFK-27879#484_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/132158
description abstractA material softening model based on thermal activation energy has been successfully established through tempering experiments in the first part of this study. To apply the model to predicting material softening in hard turned surfaces, the thermal history of work material is needed. In this part, a three-dimensional finite element (FE) model of machining hardened 52100 steel is constructed, and coupled thermal-stress analysis is performed to obtain the material thermal history. Then the material softening model uses the computed thermal history as input to predict the material hardness profiles along the depth into the machined surfaces. Overall, the prediction precisely catches the trend of hardness change along depth and agrees reasonably well with the hardness measurement. What’s more, the sensitivity of material softening to cutting parameters is investigated both quantitatively and qualitatively. Within the investigation range, it is observed that the increase of tool flank wear and feed rate produces severe material softening and a deeper softened layer, while the increase of cutting speed causes significant softening to the surface material but hardly changes the softened depth.
publisherThe American Society of Mechanical Engineers (ASME)
titleOn Predicting Softening Effects in Hard Turned Surfaces—Part II: Finite Element Modeling and Verification
typeJournal Paper
journal volume127
journal issue3
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.1948402
journal fristpage484
journal lastpage491
identifier eissn1528-8935
keywordsTemperature
keywordsCutting
keywordsFinite element analysis
keywordsTurning
keywordsHeat
keywordsMachining
keywordsWear
keywordsModeling
keywordsSteel AND Stress
treeJournal of Manufacturing Science and Engineering:;2005:;volume( 127 ):;issue: 003
contenttypeFulltext


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