Mechanical Ventilator Compressor Test Bench

Test Bench Diagram

Mechanical Ventilator Problem Solvers

Background:

The goal of this project is to test the compressor of a ventilator, that is used in the medical field, and to experimentally gather data and determine the best possible design by comparing different criteria. There are two design iterations that will be finalized for 3D printed and experimental testing. Once completed students will begin to build a test bench for running tests to find the compressor maps for the compressors which will show the projected map contours. Compressor maps will show RPM-Pressure-flow rate, Efficiency-Pressure-flow rate, Power-Pressure-flow rate, and Noise-Pressure-flow rate. Interfacing with sensored brushless DC motor, flow sensor, and pressure sensors will be done on Labview. Different compressors will be compared and the most efficient design configuration will be selected.

Project Mission Statement:

This project aims to design and build a test bench for Mechanical Ventilator compressors to generate the compressor map experimentally including the noise level. Students will perform multiple experiments for the compressor with different impeller geometry with/without the intake silencer. The generated compressor map should include the following 3D surfaces and their projected map contours:

  1. RPM-Pressure-flow rate
  2. Efficiency-Pressure-flow rate
  3. Power-Pressure-flow rate
  4. Noise- Pressure-flow rate

Course Goal:

Students will practice all phases of the design process except prototyping, testing, and manufacturing, but the team will plan the manufacturing phase. Therefore, students should develop technical skills and critical thinking to quantify the mission statement, define the design space and its constraints, generate and assess many concepts during the preliminary phase, and design the product for assembly, manufacturing, and maintenance.

Skills to be gained by the end of the project:

  1. Experiment Design
  2. Mechanical Design 
  3. 3D Modelling 
  4. 3D Printing and manufacturing
  5. Interfacing with sensored BLDC motors to measure the RPM
  6. Interfacing with Hall sensor to measure the pulses
  7.  Interfacing with Flow rate and pressure sensors using Labview
  8. Controlling BLDC motor speed with high-frequency PWM signals

Contact:

Project Manager: Ahmad Omar Abu Nasra (aabunasr@uci.edu)

Mechanical Lead: German Diaz (germanmd@uci.edu)

Electrical Lead: David Nguyen (davidn8@uci.edu)

Experimental Lead: Justin DeCarlo (decarloj@uci.edu)

Advisors and Sponsor:

Professor Mark Walter (m.walter@uci.edu)

Professor David Copp (dcopp@uci.edu)

Sponsor Moatasem Fouda (mafouda@uci.edu

Project status: 
Active
Department: 
MAE
Term: 
Fall
Academic year: 
2021-2022
Author: