Development and Applications of Flexible Ferrofluid Magnet Sensors

By Alex Taing
Slide 1: Title slide introducing Development and Applications of Flexible Ferrofluid Magnet Sensors

Slide-1

By Alex Taing

Mentor: Erik Engeberg, Ph.D.

Slide 2: Concept section explaining what a Flexible Magnet Sensor is with technical details

Slide-2

What is a Flexible Magnet Sensor (FMS)?

Concept

Uses silicone as a flexible medium to contain ferrofluid

  • Interaction with the silicone causes displacement of of the ferrofluid which can be detected by a change in the magnetic field
  • A Hall effect sensor array is used to detect the change magnetic field formed by the ferrofluid
Slide 3: Application section detailing properties explored and unexplored topics

Slide-3

What is a Flexible Magnet Sensor (FMS)?

Application

What properties are being explored?

  • Touch location sensitivity
  • Load Sensitivity
  • Shear load detection

Unexplored Topics

  • Tilt Detection
  • Stretch detection
  • Multi-touch capabilities
Slide 4: Types section showing different sensor configurations including enclosed composite, ferrofluid capsule, and complete composite with images

Slide-4

Sensors | Types

Enclosed Composite

Complete Composite

Ferrofluid Capsule

Slide 5: Concepts section describing experiments for testing sensor viability including grid probing and shear detection

Slide-5

Experiments

Concepts

Testing sensor viability:

  • Differentiate nine probing locations in a 3x3 grid
    • Probing was performed at multiple loads
  • Detecting direction of shear in the cardinal and intercardinal directions
    • Shear was performed at multiple distances
Slide 6: Results section showing probing test outcomes with graphs

Slide-6

Results | Probing

The slide is divided into four quadrants, each containing a different graph on a black background. The top two graphs show multiple colored lines and a yellow line graph below them. The bottom two graphs are similar, with multiple colored lines on top and a yellow line graph below. The yellow line graphs show peaks and valleys. All graphs have a black background and thin white grid lines.

Slide 7: ANN section describing neural network analysis using MATLAB with charts

Slide-7

Neural Networks | ANN

Extracted peak data was run through MATLAB's neural network plug-in

The slide displays two charts: a bar chart on the left and a yellow line graph on the right. The bar chart's x-axis is labeled "Sensor Type," and the y-axis is "Accuracy (%)". The chart contains several sets of colored bars, with a legend in the top-right corner indicating weights from 100g to 5g. The line graph on the right shows a series of vertical yellow lines with varying heights on a black background.

Slide 8: Future Work section: close-up photograph of a light green 3D-printed object

Slide-8

Future Work

The slide shows a close-up photograph of a light green 3D-printed object. The object, which appears to be a replica of a spine, is compressed between a large gray metal cylinder on top and a flat green base on the bottom. Two nuts and bolts are visible on the base to the right of the object.

Slide 9: References section with academic citations

Slide-9

References

Almansouri, A. S., Alsharif, N. A., Khan, M. A., Swanepoel, L., Kaidarova, A., Salama, K. N., & Kosel, J. (2019). An Imperceptible Magnetic Skin. Advanced Materials Technologies, 4(10), 1900493. https://doi.org/10.1002/admt.201900493

Hao, J., Nangunoori, R., Wu, Y. Y., Rajaraman, M., Cook, D., Yu, A., Cheng, B., & Shimada, K. (2018). Material characterization and selection for 3D-printed spine models. 3D Printing in Medicine, 4(1), 8. https://doi.org/10.1186/s41205-018-0032-9

Hook, J., Taylor, S., Butler, A., Villar, N., & Izadi, S. (2009). A reconfigurable ferromagnetic input device. Proceedings of the 22nd Annual ACM Symposium on User Interface Software and Technology - UIST '09, 51. https://doi.org/10.1145/1622176.1622186

Kaidarova, B. A., Liu, W., Swanepoel, L., Almansouri, A., Geraldi, N. R., Duarte, C. M., & Kosel, J. (2021). Flexible Hall sensor made of laser-scribed graphene. Npj Flexible Electronics, 5(1), 1–7. https://doi.org/10.1038/s41528-021-00100-4

Mohammadi, A., Xu, Y., Tan, Y., Choong, P., & Oetomo, D. (2019). Magnetic-based Soft Tactile Sensors with Deformable Continuous Force Transfer Medium for Resolving Contact Locations in Robotic Grasping and Manipulation. Sensors, 19(22), 4925. https://doi.org/10.3390/s19224925

Ozioko, O., Karipoth, P., Escobedo, P., Ntagios, M., Pullanchiyodan, A., & Dahiya, R. (2021). SensAct: The Soft and Squishy Tactile Sensor with Integrated Flexible Actuator. Advanced Intelligent Systems, 3(3), 1900145. https://doi.org/10.1002/aisy.201900145

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Additional Information
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