Simulation of superficial neuromast inspired flow sensor

Orlov, Ivan (2023) Simulation of superficial neuromast inspired flow sensor. Integration Project, Industrial Engineering and Management.

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Abstract

This report covers all the steps required for conducting a flow sensor simulation study. First, a problem context explains the inspiration for the sensor working principle, attempts by other researchers at creating similar sensors, and the sensor design at hand. Four sensor designs, one cylindrical and three ellipsoids with different ratios between the minor and major axes, are made into 3D models using COMSOL software. Next, an FSI simulation is set up with the sensor, made out of PDMS, positioned inside a tube of flowing water. Two tests, investigating various flow velocities and angles, are configured. A mesh optimization study revealed that coarser mesh density settings offered the best trade-off between the accuracy and speed of the simulation. Data about tip displacement, stress, and inner tube elongation were extracted from the simulations and presented in the form of plots and images. Finally, all the obtained results were discussed in light of the performance criteria defined in the problem context. The key findings of the research are as follows. Thinner sensors reach higher tip displacement but saturate earlier, hence more suitable for slower flow velocities. A larger difference between width and thickness leads to a higher degree of directionality in sensor behavior and also increases the stress and inner tube deformation. An ellipsoid 1:3 is proposed as the best among tested shapes, because it had the highest inner tube deformation and stress.

Item Type:	Thesis (Integration Project)
Supervisor name:	Kottapalli, A.G.P. and Mohebbi, M. and Sengupta, D.
Degree programme:	Industrial Engineering and Management
Thesis type:	Integration Project
Language:	English
Date Deposited:	28 Jun 2023 08:43
Last Modified:	28 Jun 2023 08:43
URI:	https://fse.studenttheses.ub.rug.nl/id/eprint/30138

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