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contributor authorLu, YaoAn
contributor authorDing, Ye
contributor authorZhu, LiMin
date accessioned2017-11-25T07:17:45Z
date available2017-11-25T07:17:45Z
date copyright2017/8/2
date issued2017
identifier issn1087-1357
identifier othermanu_139_06_061015.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4234770
description abstractThe tool orientation of a flat-end cutter, determined by the lead and tilt angles of the cutter, can be optimized to increase the machining strip width. However, few studies focus on the effects of tool orientation on the five-axis milling process stability with flat-end cutters. Stability prediction starts with cutting force prediction, and the cutting force prediction is affected by the cutter-workpiece engagement (CWE). The engagement geometries occur between the flat-end cutter and the in-process workpiece (IPW) are complicated in five-axis milling, making the stability analysis for five-axis flat-end milling difficult. The robust discrete vector method (DVM) is adopted to identify the CWE for flat-end millings, and it can be extended to apply to general cutter millings. The milling system is then modeled as a two-degrees-of-freedom spring-mass-damper system with the predicted cutting forces. Thereafter, a general formulation for the dynamic milling system is developed considering the regenerative effect and the mode coupling effect simultaneously. Finally, an enhanced numerical integration method (NIM) is developed to predict the stability limits in flat-end milling with different tool orientations. Effectiveness of the strategy is validated by conducting experiments on five-axis flat-end milling.
publisherThe American Society of Mechanical Engineers (ASME)
titleDynamics and Stability Prediction of Five-Axis Flat-End Milling
typeJournal Paper
journal volume139
journal issue6
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.4035422
journal fristpage61015
journal lastpage061015-11
treeJournal of Manufacturing Science and Engineering:;2017:;volume( 139 ):;issue: 006
contenttypeFulltext


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