An adaptive filtering approach to dynamics effect compensation in nanoscale broadband viscoelasticity measurements of soft materials

Ping Xie, Zhonghua Xu, Qingze Zou, Hongbing Xu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this article, an adaptive filtering approach to compensate for instrument dynamics effect on nanoscale broadband material viscoelasticity measurements is proposed. Although a large frequency range of measurement (i.e., broadband) is desirable in mechanical property characterization of materials, the measurement frequency range is, in general, limited by the dynamics of the measurement instrument. Such a limit arises because the instrument dynamics can be convoluted with the mechanical response of the material in the measured data, particularly when the excitation force profile consists of multiple frequencies and becomes fast. The contribution of this article is the use of adaptive filtering approach to eliminate the instrument dynamics effect in nanoscale broadband viscoelasticity measurement using atomic force microscope (AFM). The proposed approach is illustrated by implementing it to compensate for the dynamic effects in the broadband viscoelasticity measurement of a polydimethylsiloxane (PDMS) sample using AFM.

Original languageEnglish (US)
Title of host publicationProceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
Pages8284-8289
Number of pages6
DOIs
StatePublished - 2009
Externally publishedYes
Event48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009 - Shanghai, China
Duration: Dec 15 2009Dec 18 2009

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0191-2216

Other

Other48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
Country/TerritoryChina
CityShanghai
Period12/15/0912/18/09

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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