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contributor authorKazemi, Farshad
contributor authorSong, Chunlei
contributor authorClare, Adam T.
contributor authorJin, Xiaoliang
date accessioned2025-04-21T10:11:20Z
date available2025-04-21T10:11:20Z
date copyright11/21/2024 12:00:00 AM
date issued2024
identifier issn1087-1357
identifier othermanu_147_4_041003.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4305673
description abstractIn metal cutting processes, accurately determining the shear angle is essential, as it governs chip formation and cutting force generation. Despite extensive research conducted on this topic, the accurate prediction of the shear angle remains a subject of ongoing investigation. This paper presents a new analytical model for predicting the shear angle, taking into account the direction difference between the shear stress at the boundary of the primary shear zone and the maximum shear stress. The constitutive property of the workpiece material with respect to the strain, strain rate, and temperature is considered in predicting the shear angle. The results show that the solution for the shear angle is not unique for a given rake and friction angle, and is highly dependent on the flow stress response of the workpiece material. Orthogonal cutting experiments were conducted on steel and aluminum alloys under various uncut chip thicknesses, cutting speeds, and tool rake angles to characterize the chip thickness and shear angle. Based on a comparison between model predictions, experimental results, and data from the literature for various workpiece materials and cutting conditions, it is shown that the proposed model results in an improved prediction for shear angle by considering the stress transformation within the primary shear zone.
publisherThe American Society of Mechanical Engineers (ASME)
titleA New Cutting Mechanics Model for Improved Shear Angle Prediction in Orthogonal Cutting Process
typeJournal Paper
journal volume147
journal issue4
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.4066976
journal fristpage41003-1
journal lastpage41003-21
page21
treeJournal of Manufacturing Science and Engineering:;2024:;volume( 147 ):;issue: 004
contenttypeFulltext


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