As a part of Master’s thesis project I developed a prototype of Air UV Disinfection device using 3D CAD and Python programming which can disinfect air of a standard office room in 12.5 minutes.
After the peak of COVID-19, there has been increase in awareness of airborne disease and people do prefer to be good quality air. The problem is the availability of effective and low cost air disinfection devices. There is also a question of trust on high cost devices as majority of them do not share the details of device effectiveness calculation. In addition to that device also has to follow air circulation standards as per the ASHRAE recommendations.
In order to solve above issue, we developed a space friendly, portable, high quality and cost-effective UV disinfection device prototype, which can disinfect air, for standard size office use purposes.
Here, to check its effectiveness we chose computational approach over experimental as it requires less time, cost and much more effective in incorporating changes to device.
Requirements gathering from secondary market research
3D Computer Design of prototype
Prepare a 3D Computer Aided Design of the proposed prototype using SolidWorks to visualize and study.
Program to model efficiency of prototype
Wrote a Python program using Data Science libraries (Numpy and Pandas); using Kietz irradiance and Bacterial Survival equation to model device prototype, obtained contour plot (shown below).
Prototype Modifications
Prototype testing using Python program and DIALUX simulator