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contributor authorKatz, Andrew
contributor authorErkorkmaz, Kaan
contributor authorIsmail, Fathy
date accessioned2019-02-28T11:02:24Z
date available2019-02-28T11:02:24Z
date copyright4/16/2018 12:00:00 AM
date issued2018
identifier issn1087-1357
identifier othermanu_140_07_071007.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4251993
description abstractGear shaping is, currently, the most prominent method for machining internal gears, which are a major component in planetary gearboxes. However, there are few reported studies on the mechanics of the process. This paper presents a comprehensive model of gear shaping that includes the kinematics, cutter–workpiece engagement (CWE), and cutting forces. To predict the cutting forces, the CWE is calculated at discrete time steps using a tridexel discrete solid modeler. From the CWE in tridexel form, the two-dimensional (2D) chip geometry is reconstructed using Delaunay triangulation (DT) and alpha shape reconstruction. This in turn is used to determine the undeformed chip geometry along the cutting edge. The cutting edge is discretized into nodes with varying cutting force directions (tangential, feed, and radial), inclination angles, and rake angles. If engaged in the cut during a particular time-step, each node contributes an incremental force vector calculated with the oblique cutting force model. Using a three-axis dynamometer on a Liebherr LSE500 gear shaping machine tool, the cutting force prediction algorithm was experimentally verified on a variety of processes and gears, which included an internal spur gear, external spur gear, and external helical gear. The simulated and measured force profiles correlate closely with about 3–10% RMS error.
publisherThe American Society of Mechanical Engineers (ASME)
titleVirtual Model of Gear Shaping—Part I: Kinematics, Cutter–Workpiece Engagement, and Cutting Forces
typeJournal Paper
journal volume140
journal issue7
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.4039646
journal fristpage71007
journal lastpage071007-15
treeJournal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 007
contenttypeFulltext


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