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contributor authorLi Zheng
contributor authorSteven Y. Liang
contributor authorShreyes N. Melkote
date accessioned2017-05-08T23:57:13Z
date available2017-05-08T23:57:13Z
date copyrightMay, 1998
date issued1998
identifier issn1087-1357
identifier otherJMSEFK-27323#252_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/120761
description abstractThis paper presents the development of an explicit expression of cutting force wave forms in end milling with helical multi-flute cutters. From the relationship of elemental cutting forces and chip load, the net cutting forces are analytically formulated based on the integration of elemental cutting forces in the feed, cross feed, and axial directions. This formulation leads to a solution of force waveforms as algebraic functions of tool geometry, machining parameters, cutting configuration, and work piece material properties. The closed-form nature of the resulting model facilitates force estimation and process optimization without resorting to numerical iterations. The theoretical error of prediction due to the truncation of higher frequency terms is analyzed. It provides a guideline for choosing the model size for given error tolerance. It also offers an understanding of upper bound of prediction error for a known number of approximating terms used in the model. In the paper end milling experimental results were examined over a range of conditions to verify the analytical model in the context of waveform, power spectrum, and model size effect.
publisherThe American Society of Mechanical Engineers (ASME)
titleAngle Domain Analytical Model for End Milling Forces
typeJournal Paper
journal volume120
journal issue2
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.2830121
journal fristpage252
journal lastpage258
identifier eissn1528-8935
keywordsForce
keywordsMilling
keywordsCutting
keywordsErrors
keywordsFunctions
keywordsGeometry
keywordsSpectra (Spectroscopy)
keywordsMachining
keywordsStress
keywordsWaves
keywordsMaterials properties
keywordsOptimization AND Size effect
treeJournal of Manufacturing Science and Engineering:;1998:;volume( 120 ):;issue: 002
contenttypeFulltext


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