Review of vibration-assisted machining

Brehl, David Edward; Dow, Thomas A.

doi:10.1016/j.precisioneng.2007.08.003

Cited by 719 publications

(407 citation statements)

References 44 publications

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“…Superimposing ultrasonic vibration on the cutting tool has been shown to improve the surface finish of ductile as well as brittle materials with a concomitant reduction in cutting forces and machine chatter [23]. This was confirmed by recent studies by Maurotto et al in both Ti-based [24] and Nibased alloys [25].…”

Section: Coolant Nonementioning

confidence: 66%

Enhanced ultrasonically assisted turning of a β-titanium alloy

et al. 2013

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Section: Coolant Nonementioning

confidence: 66%

Enhanced ultrasonically assisted turning of a β-titanium alloy

et al. 2013

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“…Cutting force effects were most pronounced when vibrations were imposed on the tool in the same direction of cut [4]. Subsequently consistent reductions of regenerative chatter were observed with large improvements of the surface of finished work-pieces [13,14].…”

Section: Introductionmentioning

confidence: 68%

“…In this cutting method vibrations at a frequency above the audible range are superimposed on the cutting tool with a specific intensity and in a specific direction. Vibration assisted machining has been widely used for machining the most diverse work-piece materials often with significant improvements observed [4].…”

Section: Introductionmentioning

confidence: 99%

Experimental investigations on effects of frequency in ultrasonically-assisted end-milling of AISI 316L: A feasibility study

Maurotto

Wickramarachchi

2016

Ultrasonics

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Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/) eprints@whiterose.ac.uk https://eprints.whiterose.ac.uk/ Reuse Unless indicated otherwise, fulltext items are protected by copyright with all rights reserved. The copyright exception in section 29 of the Copyright, Designs and Patents Act 1988 allows the making of a single copy solely for the purpose of non-commercial research or private study within the limits of fair dealing. The publisher or other rights-holder may allow further reproduction and re-use of this version -refer to the White Rose Research Online record for this item. Where records identify the publisher as the copyright holder, users can verify any specific terms of use on the publisher's website. TakedownIf you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing eprints@whiterose.ac.uk including the URL of the record and the reason for the withdrawal request.Experimental investigations on effects of frequency in ultrasonically-assisted end-milling of AISI 316L: a feasibility study.A. Abstract:The effects of frequency in ultrasonic vibration assisted milling (UVAM) with axial vibration of the cutter is investigated in this paper. A series of face-mill experiment in dry conditions were conducted on AISI 316L, an alloy of widespread use in industry. The finished surfaces roughness were studied along with basic considerations on tool wear for both conventional milling and an array of frequencies for UVAM in a wide range of cutting conditions. Surface residual stresses and cross-cut metallographic slides were used to investigate the hidden effects of UVAM.Experimental results showed competitive results for both surface roughness and residual stress in UVAM when compared with conventional milling especially in the low range of frequency with similar trend for tool wear.

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“…Piezoelectric actuators (PEAs) find a wide application in atomic force microscopes [2], accelerator based imaging systems [3], machine tools [4], computer components [5], industrial and medical robots [6] mainly due to their effective displacement capabilities. PEA's mechanical displacement characterization is a core issue in scientific and industrial research [7,8].…”

Section: Introductionmentioning

confidence: 99%

The artificial neural network modelling of the piezoelectric actuator vibrations using laser displacement sensor

Paralı

Sarı²,

Kılıç

et al. 2017

Journal of Electrical Engineering

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We report an improvement of the artificial neural network (ANN) modelling of a piezoelectric actuator vibration based on the experimental data. The controlled vibrations of an actuator were obtained by utilizing the swept-sine signal excitation. The peak value in the displacement signal response was measured by a laser displacement sensor. The piezoelectric actuator was modelled in both linear and nonlinear operating range. A consistency from 90.3 up to 98.9% of ANN modelled output values and experimental ones was reached. The obtained results clearly demonstrate exact linear relationship between the ANN model and experimental values.

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Review of vibration-assisted machining

Cited by 719 publications

References 44 publications

Enhanced ultrasonically assisted turning of a β-titanium alloy

Enhanced ultrasonically assisted turning of a β-titanium alloy

Experimental investigations on effects of frequency in ultrasonically-assisted end-milling of AISI 316L: A feasibility study

The artificial neural network modelling of the piezoelectric actuator vibrations using laser displacement sensor

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