macroAFM

We are looking for a Master's student! We are seeking a motivated Master's student to contribute to the development and optimisation of "macroAFM", a large-scale equivalent of an atomic force microscope that works as a tribometer to study friction, wear, and lubrication properties between surfaces at the macro- or meso-scale. This project builds on an existing proof-of-concept device (see Figure 2, right), which will be used in ongoing investigations in the field of soft tribology.

Figure 1. Illustration of a sliding experiment using a colloidal probe in an atomic force microscope. The torsion and bending of the micron-scale cantilever are detected via laser reflection (red beam). Blue arrows depict the deformation of the soft substrate (displacement field).

Figure 2. Proof-of-concept “macroAFM”: strain gauges glued to the centimetre-scale cantilever measure its torsion and bending, while a stepper motor controls the lateral movement.

Your Role

You will take our semi-manual prototype to the next level by optimising the device as you see fit, implementing digital data acquisition and control systems. You will then use the device to conduct systematic friction studies on both rigid and soft materials.

Work Packages

Setup Optimisation
- Improve the existing setup and implement comprehensive data acquisition and processing systems
- Create interfaces for device operation and data visualisation
System Troubleshooting
- Collaborate with MicroMeasurement GmbH to resolve technical challenges
- Improve system reliability and measurement accuracy
Cantilever Calibration
- Apply and compare various calibration methodologies
- Establish robust calibration protocols
Friction Measurement Campaigns
- Conduct experiments on both rigid and soft substrates
- Investigate the effects of normal load and tip velocity variations
- Compare sliding and rolling friction behaviours

Ideal Candidate

Engineering or physics background with interest in tribology
Interest in electronics and programming (prior experience with Arduino, Raspberry Pi, or any microcontroller platform is beneficial)
Experience with sensors, data acquisition, and signal processing
Ability to work independently while collaborating with our research team

This project offers an exciting opportunity to combine skills in mechanical engineering, electronics, programming, and materials science. It also has strong potential to lead to a scientific publication in tribology and soft matter physics. If you are interested, please contact Dr. Keumkyung Kuk () for more details.