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Atomic Force Microscopy Cantilever-Based Nanoindentation: Mechanical Property Measurements at the Nanoscale in Air and Fluid
Published on: December 2, 2022
Nano-scale simulative measuring model for tapping mode atomic force microscopy and analysis for measuring a
1Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei 10672, Taiwan, Republic of China.
Journal of Nanoscience and Nanotechnology
|December 7, 2010
Summary
This study developed a nano-scale model for Tapping Mode Atomic Force Microscopy (TM-AFM) to analyze edge effects. The model accurately predicted surface errors caused by scan rate and probe tip angle, validating its reliability.
Area of Science:
- Materials Science
- Nanotechnology
- Surface Science
Background:
- Atomic Force Microscopy (AFM) is crucial for nanoscale imaging.
- Tapping Mode AFM (TM-AFM) is widely used for surface characterization.
- Understanding edge effects in TM-AFM is vital for accurate measurements.
Purpose of the Study:
- To construct a nano-scale simulative measuring model for TM-AFM.
- To compare simulation results with experimental measurements, focusing on edge effects.
- To identify key factors contributing to surface errors in TM-AFM measurements.
Main Methods:
- Developed a simulative model using Morse potential and vibration theory for tip-sample interaction.
- Modeled the probe tip with Silicon (Si) atoms and the sample as a nano-scale ladder.
- Compared simulative measurements with experimental data.
Main Results:
- Identified scan rate and probe tip bevel angle as primary causes of surface error and edge effects.
- Found good agreement between simulated and experimental results for the sample edge's vertical section.
- Demonstrated that the bevel angle in simulations closely matched experimental observations.
Conclusions:
- The constructed TM-AFM simulative model is reasonable and effective.
- The model accurately predicts edge effects and surface errors in nano-scale measurements.
- This work provides a reliable tool for analyzing TM-AFM measurement inaccuracies.
