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contributor authorR. Parker Eason
contributor authorAndrew J. Dick
date accessioned2017-05-09T00:49:18Z
date available2017-05-09T00:49:18Z
date copyrightJanuary, 2012
date issued2012
identifier issn0022-0434
identifier otherJDSMAA-25516#011010_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/148539
description abstractDisplacement measurement in atomic force microscopy (AFM) is most commonly obtained indirectly by measuring the slope of the AFM probe and applying a calibration factor. Static calibration techniques operate on the assumption that the probe response approximates single mode behavior. For off-resonance excitation or different operating conditions the contribution of higher modes may become significant. In this paper, changes to the calibrated slope-displacement relationship and the corresponding implications on measurement accuracy are investigated. A model is developed and numerical simulations are performed to examine the effect of laser spot position, tip mass, quality factor and excitation frequency on measurement accuracy. Free response conditions and operation under nonlinear tip-sample forces are considered. Results are verified experimentally using a representative macroscale system. A laser spot positioned at a nominal position between x = 0.5 and 0.6 is determined to minimize optical lever measurement error under conditions where the response is dominated by contributions from the first two modes, due to excitation as well as other factors.
publisherThe American Society of Mechanical Engineers (ASME)
titleResponse Measurement Accuracy for Off-Resonance Excitation in Atomic Force Microscopy
typeJournal Paper
journal volume134
journal issue1
journal titleJournal of Dynamic Systems, Measurement, and Control
identifier doi10.1115/1.4005361
journal fristpage11010
identifier eissn1528-9028
keywordsResonance
keywordsForce
keywordsLasers
keywordsAtomic force microscopy
keywordsDisplacement
keywordsErrors
keywordsProbes
keywordsAccuracy and precision
keywordsCalibration
keywordsComputer simulation
keywordsShapes AND Q-factor
treeJournal of Dynamic Systems, Measurement, and Control:;2012:;volume( 134 ):;issue: 001
contenttypeFulltext


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