Modelling viscoelasticity using Multifrequency AFM

Master Thesis (2020)
Author(s)

C.L. Penning (TU Delft - Mechanical Engineering)

Contributor(s)

F. Alijani – Mentor (TU Delft - Dynamics of Micro and Nano Systems)

A. Chandrashekar – Mentor (TU Delft - Dynamics of Micro and Nano Systems)

P. Belardinelli – Mentor

PG Steeneken – Graduation committee member (TU Delft - Dynamics of Micro and Nano Systems)

M. Langelaar – Graduation committee member (TU Delft - Computational Design and Mechanics)

Lotfollah Pahlavan – Graduation committee member (TU Delft - Ship Hydromechanics and Structures)

Faculty
Mechanical Engineering
Copyright
© 2020 Casper Penning
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 Casper Penning
Graduation Date
17-01-2020
Awarding Institution
Delft University of Technology
Programme
Mechanical Engineering | Dynamics of Micro and Nano Systems
Faculty
Mechanical Engineering
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Abstract

Viscoelasticity is a material property that is relevant in a variety of nanoscale materials and interfaces in medicine and industry. Therefore, a method of mechanical quantification has become exceedingly desired. In this thesis the Atomic force microscope (AFM) is applied to accurately characterize the mechanical behavior of viscoelastic samples. The goal is to enhance viscoelastic characterization using the so-called Intermodulation AFM (ImAFM) technique by applying, adapting and improving multiple modelling and optimization methods. In ImAFM force reconstruction is performed by extracting intermodulations around resonance in the cantilever response. These intermodulations present new observables that can be used for characterization. This thesis investigates the potential of this technique in combination with an up-and-coming model describing viscoelastic interaction. A toolbox has been developed for numerical simulations of the model to resemble the experiments. The model has been evaluated in a variety of situations using sensitivity analysis in a large feasibility range, encompassing many complex dynamics. Because of the diversity in model dynamics a global optimization has been performed for experimental reconstruction.

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