A combined averaging and frequency mixing approach for force identification in weakly nonlinear high-Q oscillators: Atomic force microscope. (15th February 2018)

• Record Type: Journal Article
• Authors: Sah, Si Mohamed; Forchheimer, Daniel; Borgani, Riccardo; Haviland, David
• Is Part Of: Mechanical systems and signal processing. Volume 101(2018)
• Page Start: 38
• Page End: 54
• Publication Date: 2018-02-15
• Subjects: System identification -- Averaging method -- Frequency mixing; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2017.08.015
• Languages: English
• ISSNs: 0888-3270

Abstract

Highlights: An approach that combines the method of averaging and the frequency mixing is proposed. The approach is tested using a numerical simulated force model. The approach is applied to reconstruct the force in an AFM experiment. Abstract: We present a polynomial force reconstruction of the tip-sample interaction force in Atomic Force Microscopy. The method uses analytical expressions for the slow-time amplitude and phase evolution, obtained from time-averaging over the rapidly oscillating part of the cantilever dynamics. The slow-time behavior can be easily obtained in either the numerical simulations or the experiment in which a high-Q resonator is perturbed by a weak nonlinearity and a periodic driving force. A direct fit of the theoretical expressions to the simulated and experimental data gives the best-fit parameters for the force model. The method combines and complements previous works (Platz et al., 2013; Forchheimer et al., 2012[2] ) and it allows for computationally more efficient parameter mapping with AFM. Results for the simulated asymmetric piecewise linear force and VdW-DMT force models are compared with the reconstructed polynomial force and show a good agreement. It is also shown that the analytical amplitude and phase modulation equations fit well with the experimental data.