Emmanuel
Monda Gichaba

Optimizing Translaminar Autonomous System Model Performance Utilizing Poseidon Pump Feedback Loop System Innovative Technology / Entrepreneurship / Design

Abstract profile. Full document pending author claim.

Authors:

Emmanuel Monda Gichaba

Date Created:

Not specified

Course Title:
Professor:

Not specified

About Paper:

The novel translaminar autonomous system (TAS) model allows human posterior cups (PCs) to be experimented with ex-vivo via modulating the intraocular pressure (IOP) and intracranial pressure (ICP). Chronic dysregulation between ICP and IOP may restructure the posterior eye to pathogenesis associated with ocular neurodegeneration. Currently, these pressures are regulated in the TAS model manually by increasing or decreasing the flow rate by the user to achieve desired pressures. The aim is to integrate the Poseidon pump to autoregulate the flow rates by allowing end users to automate required pressures within the system. Furthermore, this will allow large-scale experiments to be concurrently conducted. Design and incorporate a large-scale system that can run 3 pairs of eyes (6 eyes total) using 6 TAS models with 2 inflow Poseidon pumps per model. Initial integration was of 12 Poseidon pumps using 3d printed PLA material to build the pump skeleton and instrumentation needed to construct the different parts of the pump. In addition, a printed housing unit was designed to store pumps, Arduinos, fans, a USB connection hub, and Raspberry Pi. We successfully created a large-scale testing system for the TAS model. This included a 2-part housing system with the 1st part housing the pumps for the media syringes to be running concurrently with the 2nd part housing the Arduinos, fans, USB connection hub, and Raspberry Pi. We were able to build the Poseidon pumps, design the additional housing system, and integrate them within the TAS model, allowing for large- scale experimentation for studying pressure-dependent neuro-ocular degenerations. Keywords: Translaminar Autonomous System; Feedback; Optimization; Poseidon Pump; Pressure

Source:

Purdue University / 2024

Topics:

No topics listed

Co-authors:

Emmanuel Monda Gichaba

0