An improved dynamic model of tuning fork probe for scanning probe microscopy

Area of Science:

• Physics
• Mechanical Engineering
• Instrumentation

Background:

• Tuning fork probes are crucial for various sensing applications.
• Existing models may not fully capture the complex dynamics of attached probes.
• Accurate modeling is essential for optimizing probe sensitivity and noise performance.

Purpose of the Study:

• To present a novel two coupled oscillators model for tuning fork probes.
• To validate the model's accuracy through experimental system identification.
• To assess the model's utility in analyzing noise and force sensing sensitivity.

Main Methods:

• Developed a two coupled oscillators model with unbalanced effective masses and damping ratios.
• Employed frequency domain system identification for experimental validation.
• Investigated various probe attachment configurations.

Main Results:

• The proposed model demonstrated high accuracy in characterizing tuning fork probe dynamics.
• Experimental validation confirmed the model's effectiveness across different probe attachments.
• Quantitative analysis showed improved prediction of noise performance and force sensing sensitivity.

Conclusions:

• The two coupled oscillators model provides a more accurate representation of tuning fork probe dynamics.
• This model offers enhanced capabilities for analyzing and optimizing force sensing applications.
• The findings contribute to the development of more sensitive and reliable scientific instrumentation.