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contributor authorAmin Salehi-Khojin
contributor authorGary Lee Thompson
contributor authorAlexey Vertegel
contributor authorSaeid Bashash
contributor authorNader Jalili
date accessioned2017-05-09T00:32:06Z
date available2017-05-09T00:32:06Z
date copyrightNovember, 2009
date issued2009
identifier issn0022-0434
identifier otherJDSMAA-26505#061107_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/140162
description abstractPiezoresponse force microscopy (PFM) is an atomic force microscopy-based approach utilized for measuring local properties of piezoelectric materials. The objective of this study is to propose a practical framework for simultaneous estimation of the local stiffness and piezoelectric properties of materials. For this, the governing equation of motion of a vertical PFM is derived at a given point on the sample. Using the expansion theorem, the governing ordinary differential equations of the system and their state-space representation are derived under applied external voltage. For the proof of the concept, the results obtained from both frequency and step responses of a PFM experiment are utilized to simultaneously identify the microcantilever parameters along with local spring constant and piezoelectric coefficient of a periodically poled lithium niobate sample. In this regard, a new parameter estimation strategy is developed for modal identification of system parameters under general frequency response. Results indicate good agreements between the identified model and the experimental data using the proposed modeling and identification framework. This method can be particularly applied for accurate characterization of mechanical and piezoelectric properties of biological species and cells.
publisherThe American Society of Mechanical Engineers (ASME)
titleModeling Piezoresponse Force Microscopy for Low-Dimensional Material Characterization: Theory and Experiment
typeJournal Paper
journal volume131
journal issue6
journal titleJournal of Dynamic Systems, Measurement, and Control
identifier doi10.1115/1.4000161
journal fristpage61107
identifier eissn1528-9028
keywordsForce
keywordsElectric potential
keywordsModeling
keywordsMicroscopy
keywordsFrequency response
keywordsElastic constants
keywordsMotion
keywordsStiffness
keywordsFrequency
keywordsVibration
keywordsPiezoelectric materials
keywordsEquations of motion
keywordsMaterials properties
keywordsDifferential equations
keywordsTheorems (Mathematics) AND Parameter estimation
treeJournal of Dynamic Systems, Measurement, and Control:;2009:;volume( 131 ):;issue: 006
contenttypeFulltext


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