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contributor authorGuo, Yang
contributor authorLee, Seong Eyl
contributor authorMann, James B.
date accessioned2017-11-25T07:17:35Z
date available2017-11-25T07:17:35Z
date copyright2016/8/8
date issued2017
identifier issn1087-1357
identifier othermanu_139_01_014501.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4234664
description abstractA new electromechanical modulation system designed with piezoelectric stacks for both linear actuation and force sensing functions is described. The system can be adapted for modulation-assisted machining (MAM) drilling processes where a low-frequency (<1000 Hz) sinusoidal oscillation is superimposed directly onto the drilling process, such that the feedrate is modulated. A series of drilling experiments were conducted in Ti6Al4V, 17-4 steel, and Al6061 with the system installed on a CNC machine. The drill displacement, thrust force, and chip morphology were characterized across a range of conventional and MAM drilling conditions. The mechanical response (stiffness) of the system agrees with the design specifications. The system offers new capabilities to control the modulation frequency and amplitude in MAM drilling, while simultaneously measuring the drilling thrust force in real time. The force sensing function enables detection of the intermittent separations between the drill tip and the workpiece surface (occurrence of discrete cutting), providing a method to prescribe and control the modulation conditions necessary for effective MAM drilling. Opportunities for force feedback control and process monitoring in MAM drilling processes are discussed. While the system described emphasizes MAM drilling, the capabilities can be extended to other machining processes.
publisherThe American Society of Mechanical Engineers (ASME)
titlePiezo-Actuated Modulation-Assisted Drilling System With Integrated Force Sensing
typeJournal Paper
journal volume139
journal issue1
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.4033929
journal fristpage14501
journal lastpage014501-7
treeJournal of Manufacturing Science and Engineering:;2017:;volume( 139 ):;issue: 001
contenttypeFulltext


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