DocumentCode :
2848221
Title :
Optimal input design for indentation-based rapid broadband nanomechanical spectroscopy: Poly(dimethylsiloxane) example
Author :
Zhonghua Xu ; Qingze Zou
Author_Institution :
Mech. Eng., Iowa State Univ., Ames, IA, USA
fYear :
2011
fDate :
June 29 2011-July 1 2011
Firstpage :
2272
Lastpage :
2277
Abstract :
This article presents an optimal input design approach to achieve rapid broadband nanomechanical measurements of soft materials using the indentation-based method. The indentation-based nanomechanical measurement provides unique quantifications of material properties at specified locations. The measurements, however, are currently too slow in time and too narrow in frequency (range) to characterize time-elapsing material properties during dynamic evolutions (e.g., the rapid-stage of the crystallization process of polymers). Such limits exist because the input force profiles used in current approaches cannot rapidly excite broadband nanomechanical properties of materials. In this article, we develop an optimal-input design approach to tackle these challenges. Particularly, an input force profile with discrete spectrum is optimized to maximize the Fisher information matrix of the linear compliance model of the soft material. Both simulation and experimental results on a PDMS sample are presented to illustrate the need for optimal input design, and its efficacy in probe-based nanomechanical property measurements.
Keywords :
crystallisation; nanoindentation; polymers; Fisher information matrix; PDMS sample; discrete spectrum; indentation-based rapid broadband nanomechanical spectroscopy; input force profile; linear compliance model; poly(dimethylsiloxane); polymer crystallization process; probe-based nanomechanical property measurements; soft materials; time-elapsing material property; Current measurement; Dynamics; Force; Force measurement; Frequency measurement; Materials; Noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2011
Conference_Location :
San Francisco, CA
ISSN :
0743-1619
Print_ISBN :
978-1-4577-0080-4
Type :
conf
DOI :
10.1109/ACC.2011.5990874
Filename :
5990874
Link To Document :
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