Title

A Numerical Study of the Influence of Different Factors on Tumor Diagnosis via a Tactile Sensor

Presenting Author Name/s

Nathan Abshier, Cristina Genoese-Zerbi, Charles Tison, Timothy Watjen, Kylee Kohl, James Jobe

Faculty Advisor

Dr. Julie Hao

Presentation Type

Poster

Disciplines

Biomechanical Engineering

Description/Abstract

In the medical field, a tactile sensor would be used to find tumors that are just below the surface of the skin. The sensor is made of Pyrex and Polydimethylsiloxane (PDMS) with transducers within the PDMS. By pressing the sensor into the tissue, a resistance profile is mapped out and computed as a force distribution. The task is to simulate the sensor detecting a tumor in a model created in COMSOL Multiphysics 5.1 (The COMSOL Group, Stockholm, Sweden) with certain variables changed. Those variables are curved surface, substrate interference, and viscoelasticity. These will be tested independently on separate models to see how each affects the sensor readings. The goal from these simulations is to produce a suggested modification for the actual sensor.

Each model was modified from a reference model, which only had a flat surface, a flat substrate, a tumor within the tissue, and without any associated viscosity. The reference and modified models were all tested with a two millimeter displacement applied superiorly. The simulation will show how these changes affect the readings when compared to the readings of the reference model.

Session Title

Poster Session

Location

Learning Commons @ Perry Library, Northwest Atrium

Start Date

3-2-2018 8:00 AM

End Date

3-2-2018 12:30 PM

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Feb 3rd, 8:00 AM Feb 3rd, 12:30 PM

A Numerical Study of the Influence of Different Factors on Tumor Diagnosis via a Tactile Sensor

Learning Commons @ Perry Library, Northwest Atrium

In the medical field, a tactile sensor would be used to find tumors that are just below the surface of the skin. The sensor is made of Pyrex and Polydimethylsiloxane (PDMS) with transducers within the PDMS. By pressing the sensor into the tissue, a resistance profile is mapped out and computed as a force distribution. The task is to simulate the sensor detecting a tumor in a model created in COMSOL Multiphysics 5.1 (The COMSOL Group, Stockholm, Sweden) with certain variables changed. Those variables are curved surface, substrate interference, and viscoelasticity. These will be tested independently on separate models to see how each affects the sensor readings. The goal from these simulations is to produce a suggested modification for the actual sensor.

Each model was modified from a reference model, which only had a flat surface, a flat substrate, a tumor within the tissue, and without any associated viscosity. The reference and modified models were all tested with a two millimeter displacement applied superiorly. The simulation will show how these changes affect the readings when compared to the readings of the reference model.